主题介绍
重点介绍过程装备,如搅拌釜、换热器、环保设备以及气液设备遇到的问题和Ansys对应的解决方案。
如有任何问题请点击以下链接进入答疑室与我们的技术专家进行交流互动
https://v.ansys.com.cn/live/61da320e
演讲人简介
Ansys Simulation World
该演讲为Ansys Simulation World 虚拟大会视频
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感谢大家
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观看化学
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和流程教程
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我们的教程
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实际上
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在化学和流程行业通用
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总的来说 针对不同的主题
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我们编制了
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四种不同的教程
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第一部分课程
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重点介绍混合设备
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第二部分课程
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重点介绍换热器的设计与研发
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第三部分课程
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重点介绍环境污染控制
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第四也是最后
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一部分课程也同样重要
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重点介绍气
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液设备
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而在接下来的
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25分钟左右的时间里
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我将从更高层面
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对这四部分课程
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所囊括
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的大量知识进行概述
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但我诚挚的建议您
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下载PDF文件的同时
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一定要仔细观看
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这四部分教程
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的其他视频
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而且能够
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找到更多信息
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因此如果我返回
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混合设备教程最佳实践
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我将
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再次强调
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该教程的主要方面的内容
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并且请您牢记其他三部分教程
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换热器
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环境控制
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以及气-液系统气-液系统
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它们几乎遵循相同的布局
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我再次
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强调一些关键应用
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好的
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我们先来关注
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第一部分课程
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混合设备
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行业面临的挑战
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大家知道在这个行业
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当人们处理
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混合设备
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操作问题时
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例如常见的
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缩放问题
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简言之
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放大意味着
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一旦您优化了实验室尺寸
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或工作台尺寸的混合流程
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00:02:30.18 - 00:02:33.40 9
您将如何使其提升到
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生产水平的规模
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如何将几公升
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的尺度规模
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00:02:37.77 - 00:02:40.99 12
提升至数千公升的尺度规模
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同时仍旧保持
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实验室所测得的
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合理混合效果
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反过来 缩小流程有时
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也很有趣
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比如 您有
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一个大型混合容器
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或有一个运作正常的
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大型混合装置
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00:02:57.87 - 00:03:01.14 7
或在其他场景中
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您希望
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能够操作
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较为小型的设备
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帮助您进行自定义
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并且设计出更加新颖的产品
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或让您实现
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额外的控制
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而这些不存在于
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大型场景中
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因此放大和缩小
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00:03:21.25 - 00:03:21.51 12
实际上都是相当常见的场景
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人们对此很感兴趣
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而这总是
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与产量相关
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如何提升现有设备产能
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如何真正缩短
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产品上市的时间
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甚至引入新的产品
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这也是很常见的挑战
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另一件事情
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在此同样值得一提
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那就是做实验时
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无论规模如何
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都尽力设计
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理想的混合流程
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例如人们总是会密切关注
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材料成本
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这取决于
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您正在使用的材料
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00:04:00.69 - 00:04:03.93 10
您知道当您在做实验时
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00:04:03.93 - 00:04:04.58 6
这是损失材料
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00:04:04.58 - 00:04:07.81 5
您希望减少
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00:04:07.81 - 00:04:08.17 4
这些材料
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00:04:08.24 - 00:04:11.48 8
而在极端的案例中
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比如在制药行业
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API的活性制药成分
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00:04:15.08 - 00:04:17.16 3
实际上
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在很多情况下
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要比黄金昂贵
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00:04:21.48 - 00:04:25.21 7
因此您能够想象
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00:04:25.21 - 00:04:25.29 15
任何规模的损失都会让人十分痛心
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00:04:25.38 - 00:04:29.11 3
实际上
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做实验时损失其他东西也是如此
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00:04:29.77 - 00:04:34.05 6
大多数情况下
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或许您可能需要等到有
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00:04:35.57 - 00:04:39.84 42
可用的实验空间 00:04:39.847 --> 00:04:40.607 才能
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真正的开展您的实验
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00:04:44.97 - 00:04:45.45 9
而在一些实际案例中
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00:04:45.45 - 00:04:49.35 9
这会造成数周的延迟
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00:04:49.35 - 00:04:51.34 10
而另一个很常见的挑战
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00:04:51.42 - 00:04:55.32 6
是在运行这些
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混合设备之时
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00:04:55.76 - 00:04:58.59 12
显然您可能会在不同的时间
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运行不同的材料
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00:04:59.79 - 00:05:02.63 2
然而
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做出这种材料更改时
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00:05:03.26 - 00:05:06.10 5
您希望确保
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00:05:06.10 - 00:05:06.60 10
在加入一批新材料之前
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00:05:06.60 - 00:05:09.44 7
对设备进行妥善
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清洁或清洗
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00:05:10.39 - 00:05:13.23 4
问题在于
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这种切换时间
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00:05:13.67 - 00:05:16.51 4
多久合适
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00:05:16.51 - 00:05:17.07 12
以及该清洁过程的效率如何
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00:05:17.07 - 00:05:20.00 11
因为切换时间基本上就是
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损失的时间
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00:05:20.91 - 00:05:23.83 7
但当您把材料A
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改为材料B时
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00:05:24.22 - 00:05:27.14 6
您必须要经历
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00:05:27.14 - 00:05:27.72 4
这段时间
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00:05:27.72 - 00:05:33.21 7
人们经常关注的
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00:05:33.21 - 00:05:35.53 6
的其他挑战是
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00:05:35.65 - 00:05:36.39 2
功耗
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00:05:36.39 - 00:05:39.24 3
而这些
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00:05:39.24 - 00:05:40.19 9
取决于混合罐的尺寸
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00:05:40.25 - 00:05:43.11 7
功耗或许会成为
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00:05:43.11 - 00:05:44.31 5
您运行成本
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00:05:44.38 - 00:05:46.79 8
中的重要组成部分
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00:05:46.79 - 00:05:49.77 13
而且您时常需要处理整个系统
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00:05:49.77 - 00:05:50.30 3
而不是
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00:05:50.37 - 00:05:53.15 8
只处理混合罐本身
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00:05:53.22 - 00:05:56.21 6
而系统的不同
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00:05:56.21 - 00:05:58.00 4
组成成分
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00:05:58.00 - 00:06:00.98 7
实际上彼此交互
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00:06:00.98 - 00:06:02.44 6
这些独立成分
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00:06:02.51 - 00:06:05.49 6
彼此之间配比
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00:06:05.49 - 00:06:05.95 4
是否合适
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00:06:06.02 - 00:06:09.00 8
最后一点也很重要
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00:06:09.00 - 00:06:10.13 10
就是研究对实际操作的
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控制系统
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进行设计
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00:06:13.76 - 00:06:16.74 3
和测试
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00:06:16.74 - 00:06:17.86 2
以及
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00:06:17.93 - 00:06:20.90 8
您真正全面投产前
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00:06:20.90 - 00:06:21.76 6
如何调试系统
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00:06:21.76 - 00:06:25.24 11
因此这些只是常见的挑战
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00:06:25.24 - 00:06:29.72 4
现在我来
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00:06:29.72 - 00:06:30.72 6
谈谈下列共识
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00:06:35.31 - 00:06:37.70 8
在该特殊案例之中
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00:06:37.80 - 00:06:42.29 9
仿真有助于混合分析
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00:06:42.29 - 00:06:43.59 6
我们深表欣慰
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00:06:43.59 - 00:06:47.42 12
这些是我们编译的普通数字
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00:06:47.42 - 00:06:48.44 3
以量化
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00:06:48.53 - 00:06:52.36 9
仿真对混合设备应用
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00:06:52.36 - 00:06:53.72 8
带来的优势和影响
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00:06:53.81 - 00:06:57.64 4
举个例子
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00:06:57.64 - 00:06:58.75 11
我们进行了一次内部学习
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00:06:58.75 - 00:07:02.59 7
实际上它证明了
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00:07:02.59 - 00:07:03.27 4
特殊混合
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00:07:03.27 - 00:07:07.42 5
流程的浓度
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00:07:07.42 - 00:07:08.80 6
仅需提高1%
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00:07:08.90 - 00:07:13.04 5
就可能带来
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00:07:13.04 - 00:07:14.24 6
数百万美元的
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00:07:14.33 - 00:07:14.80 2
收入
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00:07:14.80 - 00:07:17.62 5
另一项研究
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00:07:17.62 - 00:07:19.00 8
其实就发表在这里
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00:07:19.06 - 00:07:21.88 8
您可以点击该链接
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00:07:21.88 - 00:07:22.38 10
然后就可以查看详情了
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00:07:22.45 - 00:07:25.27 4
实际上将
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00:07:25.27 - 00:07:25.52 12
文化发展时间缩短了40%
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00:07:25.52 - 00:07:28.88 9
而这完全有可能实现
-
00:07:28.88 - 00:07:30.89 8
最后一点也很重要
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00:07:30.96 - 00:07:34.32 7
即我们能够通过
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00:07:34.32 - 00:07:35.66 6
降阶建模技术
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00:07:35.74 - 00:07:38.80 13
将您运行普通仿真花费的时间
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00:07:38.80 - 00:07:42.74 7
缩短几个数量级
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00:07:42.74 - 00:07:44.67 13
同样还是利用了降阶建模技术
-
00:07:44.75 - 00:07:48.70 3
而这点
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00:07:48.70 - 00:07:50.53 5
在本课程中
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00:07:50.62 - 00:07:51.94 8
我们仍会进行回顾
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00:07:51.94 - 00:07:56.55 2
现在
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00:07:56.55 - 00:07:57.07 7
更加深入混合面
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00:07:57.17 - 00:08:01.79 12
这里有多个或一些仿真场景
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00:08:01.79 - 00:08:04.25 10
或者代表仿真将会解决
-
00:08:04.35 - 00:08:08.97 5
的不同问题
-
00:08:08.97 - 00:08:10.72 2
首先
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00:08:10.72 - 00:08:14.24 7
我们快速聊一聊
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00:08:14.24 - 00:08:15.25 4
单相混合
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00:08:15.33 - 00:08:15.65 3
然后是
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00:08:15.65 - 00:08:19.46 12
气-液系统以及生物反应器
-
00:08:19.46 - 00:08:22.92 11
以固-液系统和固体为例
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00:08:22.92 - 00:08:24.15 10
这与固体溶解系统相关
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00:08:24.22 - 00:08:27.69 6
我们快速温习
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00:08:27.69 - 00:08:29.53 8
以下交叉式混合器
-
00:08:29.61 - 00:08:33.07 7
可能您的混合器
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00:08:33.07 - 00:08:34.38 9
在他们混合材料之时
-
00:08:34.38 - 00:08:38.00 7
实际上相互交叉
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00:08:38.00 - 00:08:39.94 11
简要强调以下静态混合器
-
00:08:40.02 - 00:08:42.68 6
及其应用领域
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00:08:42.68 - 00:08:45.77 14
我之前已经提到CIP清洗流程
-
00:08:45.77 - 00:08:46.59 2
然后
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00:08:46.66 - 00:08:49.75 11
快结束时我们将再次强调
-
00:08:49.75 - 00:08:50.57 4
仿真普及
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00:08:50.64 - 00:08:53.46 10
以及系统级建模的概念
-
00:08:53.46 - 00:08:56.84 9
因此提到单相混合时
-
00:08:56.84 - 00:08:57.22 7
我们将一笔带过
-
00:08:57.30 - 00:09:00.68 2
通常
-
00:09:00.68 - 00:09:01.89 12
这也是所有人开始的第一步
-
00:09:01.96 - 00:09:05.35 10
原因是其记录非常详尽
-
00:09:05.35 - 00:09:05.88 8
而且也最容易实现
-
00:09:05.88 - 00:09:09.27 4
而实际上
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00:09:09.27 - 00:09:10.32 10
它已经提供了大量信息
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00:09:10.40 - 00:09:13.79 10
对于人们而言非常有用
-
00:09:13.79 - 00:09:14.01 4
因此我们
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00:09:14.09 - 00:09:17.48 10
已经提到了放大与缩小
-
00:09:17.48 - 00:09:18.83 9
两个方面的工程挑战
-
00:09:18.83 - 00:09:22.24 5
但确切的说
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00:09:22.24 - 00:09:23.76 15
人们对于研究不同尺度下所估计的
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00:09:23.83 - 00:09:27.25 9
停留时间和混合时间
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00:09:27.25 - 00:09:28.31 4
很感兴趣
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00:09:28.38 - 00:09:31.79 9
需要确保查看剪切面
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00:09:31.79 - 00:09:32.93 14
当您在处理生物细胞时更要如此
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00:09:32.93 - 00:09:36.68 2
它们
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00:09:36.68 - 00:09:37.60 8
对于剪切高度敏感
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00:09:37.60 - 00:09:40.78 5
这也很有趣
-
00:09:40.78 - 00:09:41.56 11
如果您正在处理消费产品
-
00:09:41.63 - 00:09:44.81 5
通常是食品
-
00:09:44.81 - 00:09:46.01 5
和化工行业
-
00:09:46.08 - 00:09:49.26 7
或许您需要处理
-
00:09:49.26 - 00:09:50.96 7
复杂的流变材料
-
00:09:50.96 - 00:09:54.03 6
如非牛顿材料
-
00:09:54.03 - 00:09:54.78 10
您将如何处理这些材料
-
00:09:54.85 - 00:09:57.92 2
因此
-
00:09:57.92 - 00:09:58.61 11
对于Ansys功能而言
-
00:09:58.67 - 00:10:01.75 7
大家都完全认同
-
00:10:01.75 - 00:10:02.43 8
稳态和瞬态流建模
-
00:10:02.43 - 00:10:05.48 5
但除此之外
-
00:10:05.48 - 00:10:06.36 3
还能够
-
00:10:06.43 - 00:10:09.48 9
捕捉多个种类或标量
-
00:10:09.48 - 00:10:09.89 7
以及特殊的流动
-
00:10:09.96 - 00:10:13.01 8
并代表复杂的流体
-
00:10:13.01 - 00:10:14.16 6
是必不可少的
-
00:10:14.16 - 00:10:17.58 2
如果
-
00:10:17.58 - 00:10:18.42 16
您对研究这些类型的系统感兴趣的话
-
00:10:18.49 - 00:10:19.79 4
举个例子
-
00:10:19.79 - 00:10:23.41 4
您将得到
-
00:10:23.41 - 00:10:23.57 4
一些输出
-
00:10:23.65 - 00:10:27.28 8
除了本幻灯片中的
-
00:10:27.28 - 00:10:28.57 7
典型流场可视化
-
00:10:28.65 - 00:10:32.11 10
我们也会研究定量一些
-
00:10:32.11 - 00:10:35.73 6
可计量的东西
-
00:10:35.73 - 00:10:37.82 13
例如停留时间和混合时间报告
-
00:10:37.90 - 00:10:41.52 11
再次定量这些生物细胞的
-
00:10:41.52 - 00:10:43.69 6
剪切速率剖面
-
00:10:43.77 - 00:10:47.39 8
依旧是以定量分析
-
00:10:47.39 - 00:10:48.27 6
和定性的方式
-
00:10:48.27 - 00:10:54.18 14
我们也可以提供详细的混合报告
-
00:10:54.18 - 00:10:58.09 4
另一件事
-
00:10:58.09 - 00:10:58.52 7
人们同样感兴趣
-
00:10:58.61 - 00:11:02.53 10
那就是研究生物反应器
-
00:11:02.53 - 00:11:03.83 46
以及气-液系统 00:11:03.923 --> 00:11:07.837 除了单相系统
-
00:11:07.83 - 00:11:09.22 7
典型的挑战之外
-
00:11:09.22 - 00:11:13.14 7
我们也可以研究
-
00:11:13.14 - 00:11:13.92 6
气体滞留问题
-
00:11:14.01 - 00:11:17.93 10
确保这里没有任何气体
-
00:11:18.01 - 00:11:21.93 8
不会出现气体短路
-
00:11:21.93 - 00:11:23.50 12
因为这一定会增强质量传递
-
00:11:23.50 - 00:11:27.05 8
我们将如何更好地
-
00:11:27.13 - 00:11:30.77 7
预测气体和液体
-
00:11:30.77 - 00:11:31.66 7
之间的质量传递
-
00:11:31.74 - 00:11:35.29 7
我们将如何预测
-
00:11:35.29 - 00:11:39.15 8
是否有过度的涡流
-
00:11:39.15 - 00:11:40.52 9
出现在混合容器之中
-
00:11:40.60 - 00:11:44.46 10
我们并不希望出现这些
-
00:11:44.46 - 00:11:45.40 2
因为
-
00:11:45.48 - 00:11:46.86 10
那样将会出现气体截留
-
00:11:46.86 - 00:11:50.58 5
如往常一样
-
00:11:50.58 - 00:11:51.33 14
我们总是对研究剪切速率感兴趣
-
00:11:51.41 - 00:11:55.13 2
正如
-
00:11:55.13 - 00:11:55.47 12
先前我在功能中提到的那样
-
00:11:55.55 - 00:11:59.27 6
在额外的部分
-
00:11:59.27 - 00:12:00.35 4
我们能够
-
00:12:00.35 - 00:12:04.18 5
建模多相流
-
00:12:04.18 - 00:12:06.82 11
包括潜在气泡的大小分布
-
00:12:06.91 - 00:12:10.74 9
因为这将直接影响到
-
00:12:10.74 - 00:12:12.61 8
您的质量传递投影
-
00:12:12.70 - 00:12:16.53 6
而且这将成为
-
00:12:16.53 - 00:12:16.62 11
类似分析的一个关键输出
-
00:12:16.62 - 00:12:19.99 8
包括气泡大小分布
-
00:12:19.99 - 00:12:21.87 6
气泡停留时间
-
00:12:21.95 - 00:12:25.33 12
气体和液体之间的质量传递
-
00:12:25.33 - 00:12:26.00 10
如我们之前讲到的那样
-
00:12:26.08 - 00:12:29.46 6
剪切速率预测
-
00:12:29.46 - 00:12:33.00 13
同样可以应用于固体液体系统
-
00:12:33.00 - 00:12:33.31 2
而且
-
00:12:33.39 - 00:12:36.94 11
想象一下您拥有固体微粒
-
00:12:36.94 - 00:12:37.49 5
而不是气体
-
00:12:37.57 - 00:12:41.11 12
以便让粒子在液体矩阵之中
-
00:12:41.11 - 00:12:42.21 2
您对
-
00:12:42.21 - 00:12:45.75 10
放大和缩小系统感兴趣
-
00:12:45.75 - 00:12:45.91 2
但是
-
00:12:45.99 - 00:12:49.53 11
能够准确地预测固体悬浮
-
00:12:49.53 - 00:12:51.03 11
以及这些系统的云层高度
-
00:12:51.10 - 00:12:54.65 4
这些系统
-
00:12:54.65 - 00:12:56.14 5
在溶解系统
-
00:12:56.14 - 00:12:59.43 12
以及晶体生成系统中很常见
-
00:12:59.43 - 00:13:00.60 15
而此时Ansys能够提供的功能
-
00:13:00.67 - 00:13:03.96 2
除了
-
00:13:03.96 - 00:13:04.99 7
之前提到的一切
-
00:13:05.06 - 00:13:08.35 1
还
-
00:13:08.35 - 00:13:09.08 2
包含
-
00:13:09.08 - 00:13:12.48 8
多个种类和颗粒流
-
00:13:12.48 - 00:13:14.44 4
具体而言
-
00:13:14.52 - 00:13:17.91 10
可能同时包括化学反应
-
00:13:17.91 - 00:13:19.05 6
和复杂的流变
-
00:13:19.05 - 00:13:22.15 2
现在
-
00:13:22.15 - 00:13:22.83 10
人们感兴趣的主要输出
-
00:13:22.90 - 00:13:26.00 5
是能够预测
-
00:13:26.00 - 00:13:26.83 6
溶解质量传输
-
00:13:26.90 - 00:13:30.00 8
以及溶解速率预测
-
00:13:30.00 - 00:13:31.24 10
此外 如果您拥有晶体
-
00:13:31.24 - 00:13:34.67 6
晶体增长速率
-
00:13:34.67 - 00:13:38.26 9
混合物可能非常复杂
-
00:13:38.26 - 00:13:40.33 9
可能包含交叉式叶片
-
00:13:40.41 - 00:13:44.00 4
以及一些
-
00:13:44.00 - 00:13:45.68 9
可能相当复杂的运动
-
00:13:45.76 - 00:13:49.35 8
那些对象非常类似
-
00:13:49.35 - 00:13:50.23 9
但通常流变更加复杂
-
00:13:50.23 - 00:13:53.82 4
粘度更高
-
00:13:53.82 - 00:13:55.81 9
叶轮运动或叶片运动
-
00:13:55.89 - 00:13:59.48 6
可能更加复杂
-
00:13:59.48 - 00:14:00.92 4
而所需的
-
00:14:01.00 - 00:14:04.59 7
Ansys功能
-
00:14:04.59 - 00:14:05.55 2
能够
-
00:14:05.55 - 00:14:08.75 9
真正建模更加复杂的
-
00:14:08.75 - 00:14:10.31 4
交叉区域
-
00:14:10.39 - 00:14:13.59 13
Ansys还提供了一些方法
-
00:14:13.59 - 00:14:14.94 3
那就是
-
00:14:15.01 - 00:14:18.21 52
重叠网格方法或者滑动网格或网格叠加 00:14:18.216 --> 00:14:19.070 方法
-
00:14:19.07 - 00:14:22.46 4
这些方法
-
00:14:22.46 - 00:14:24.04 16
我们都将在教程中更详细地进行解释
-
00:14:24.11 - 00:14:27.36 4
关于输出
-
00:14:27.36 - 00:14:30.55 4
还有一些
-
00:14:30.55 - 00:14:31.40 5
有趣的事情
-
00:14:31.47 - 00:14:34.67 8
确保叶轮正常运动
-
00:14:34.67 - 00:14:35.88 9
确保或整体查看流场
-
00:14:35.95 - 00:14:39.14 2
并且
-
00:14:39.14 - 00:14:40.56 4
识别死角
-
00:14:40.56 - 00:14:43.76 9
报告分布式混合 并
-
00:14:43.76 - 00:14:45.53 6
能够准确计算
-
00:14:45.60 - 00:14:48.80 7
停留时间的分布
-
00:14:48.80 - 00:14:49.86 16
以及混合时间剪切速率总是十分重要
-
00:14:49.93 - 00:14:53.13 3
原因是
-
00:14:53.13 - 00:14:55.05 10
它将直接影响分散混合
-
00:14:55.05 - 00:14:58.29 10
而这是必不可少的流程
-
00:14:58.29 - 00:14:59.59 6
无论是将液滴
-
00:14:59.67 - 00:15:02.92 7
甚至是固体粒子
-
00:15:02.92 - 00:15:04.36 11
分解为更小的液滴或粒子
-
00:15:04.43 - 00:15:07.54 8
而这些却依旧需要
-
00:15:07.54 - 00:15:11.05 5
进行直观的
-
00:15:11.05 - 00:15:12.54 7
定性与定量分析
-
00:15:12.62 - 00:15:16.13 9
能够准确报告案例的
-
00:15:16.13 - 00:15:16.99 7
剪切速率柱状图
-
00:15:17.07 - 00:15:20.59 9
或停留时间柱状图等
-
00:15:20.59 - 00:15:24.85 11
静态混合器同样值得讨论
-
00:15:24.85 - 00:15:25.23 2
因此
-
00:15:25.33 - 00:15:29.60 10
我们现在没有任何叶轮
-
00:15:29.60 - 00:15:30.74 7
但目前的挑战是
-
00:15:30.83 - 00:15:35.10 12
确保混合器的尺寸正好合适
-
00:15:35.10 - 00:15:35.86 2
从而
-
00:15:35.86 - 00:15:39.93 7
实现足够的混合
-
00:15:39.93 - 00:15:41.74 9
而不会过度增加压降
-
00:15:41.83 - 00:15:45.90 4
粘性发热
-
00:15:45.90 - 00:15:47.26 3
或摩擦
-
00:15:47.35 - 00:15:51.42 7
流体或液体实验
-
00:15:51.42 - 00:15:53.59 9
可能会引起材料老化
-
00:15:53.59 - 00:15:57.50 2
通常
-
00:15:57.50 - 00:15:58.81 6
对于这些系统
-
00:15:58.89 - 00:16:02.80 17
我们确实需要拥有一个复杂的流变功能
-
00:16:02.80 - 00:16:05.15 14
而Ansys功能中包括该功能
-
00:16:05.24 - 00:16:09.15 6
我们需要能够
-
00:16:09.15 - 00:16:09.76 16
处理这些混合器非常复杂的几何结构
-
00:16:09.76 - 00:16:12.96 2
包括
-
00:16:12.96 - 00:16:15.73 10
可能的几何结构参数化
-
00:16:15.80 - 00:16:18.99 15
从而针对不同的混合器形状或尺寸
-
00:16:18.99 - 00:16:19.85 6
运行假设场景
-
00:16:19.92 - 00:16:23.11 7
我们典型的输出
-
00:16:23.11 - 00:16:24.82 5
是浓度变化
-
00:16:24.82 - 00:16:28.29 11
或者基本可视化混合流程
-
00:16:28.29 - 00:16:30.53 8
再次查看停留时间
-
00:16:30.61 - 00:16:34.09 5
甚至可能是
-
00:16:34.09 - 00:16:36.09 13
粘度加热引起的局部温度分布
-
00:16:36.17 - 00:16:39.65 9
例如 由于这些系统
-
00:16:39.65 - 00:16:40.73 11
引起了相当多的剪切速率
-
00:16:40.73 - 00:16:45.23 4
通过这里
-
00:16:45.23 - 00:16:45.83 4
正如我们
-
00:16:45.93 - 00:16:50.43 7
先前提到的那样
-
00:16:50.43 - 00:16:52.73 7
压降确实能反映
-
00:16:52.73 - 00:16:56.93 6
材料通过这些
-
00:16:56.93 - 00:16:57.77 5
混合设备时
-
00:16:57.86 - 00:17:01.51 8
会出现的运行成本
-
00:17:01.51 - 00:17:05.39 6
另外一个流程
-
00:17:05.39 - 00:17:05.56 4
同样有趣
-
00:17:05.65 - 00:17:09.53 8
我们将在本教程中
-
00:17:09.53 - 00:17:10.13 9
更为详细地进行讨论
-
00:17:10.22 - 00:17:14.10 10
那就是CIP清洗流程
-
00:17:14.10 - 00:17:15.39 4
难点在于
-
00:17:15.39 - 00:17:19.12 4
如何确保
-
00:17:19.12 - 00:17:20.03 7
清洗充分和连续
-
00:17:20.11 - 00:17:23.84 11
最大限度地缩短清洗时间
-
00:17:23.84 - 00:17:25.82 13
最大限度地减少清洁剂的使用
-
00:17:25.91 - 00:17:29.63 9
以及最大限度地降低
-
00:17:29.63 - 00:17:31.45 8
清洗过程中的功耗
-
00:17:31.45 - 00:17:34.11 7
要实现上述目标
-
00:17:34.18 - 00:17:37.50 4
我们需要
-
00:17:37.50 - 00:17:38.69 10
Ansys的多项功能
-
00:17:38.76 - 00:17:42.08 10
流体量 完全多项模型
-
00:17:42.08 - 00:17:42.89 6
或离散相模型
-
00:17:42.89 - 00:17:46.48 5
并且能够对
-
00:17:46.48 - 00:17:47.12 5
非常复杂的
-
00:17:47.20 - 00:17:49.92 11
喷嘴运动和旋转进行建模
-
00:17:49.92 - 00:17:53.76 6
最后能够报告
-
00:17:53.85 - 00:17:57.87 4
喷射清洗
-
00:17:57.87 - 00:17:58.23 4
具体如何
-
00:17:58.32 - 00:18:02.34 4
如何形成
-
00:18:02.34 - 00:18:02.69 6
以及喷射清洗
-
00:18:02.69 - 00:18:05.71 9
对于清洗表面的影响
-
00:18:05.71 - 00:18:05.91 8
完成整个清洁流程
-
00:18:05.98 - 00:18:08.99 8
需要的时长是多久
-
00:18:08.99 - 00:18:10.00 8
需要消耗多少液体
-
00:18:10.06 - 00:18:13.08 8
需要针对不同喷嘴
-
00:18:13.08 - 00:18:14.42 4
设计开展
-
00:18:14.42 - 00:18:15.97 4
假设研究
-
00:18:15.97 - 00:18:19.71 6
而最后一件事
-
00:18:19.71 - 00:18:21.05 9
在混合幻灯片中将会
-
00:18:21.13 - 00:18:24.88 9
进行更加详细的讨论
-
00:18:24.88 - 00:18:25.79 9
那就是通过使用模板
-
00:18:25.88 - 00:18:29.63 2
能够
-
00:18:29.63 - 00:18:31.04 6
普及混合分析
-
00:18:31.04 - 00:18:34.79 9
这一种方式非常强大
-
00:18:34.79 - 00:18:35.37 8
能够让非专业人士
-
00:18:35.46 - 00:18:39.21 4
充分利用
-
00:18:39.21 - 00:18:41.29 16
3D计算流体动力学分析的全部优势
-
00:18:41.37 - 00:18:45.12 9
实际上这点非常关键
-
00:18:45.12 - 00:18:45.54 6
另外一件事是
-
00:18:45.54 - 00:18:51.83 13
能够将3D CFD仿真结果
-
00:18:51.83 - 00:18:53.23 7
转换成降阶模型
-
00:18:53.37 - 00:18:55.89 9
该模型可以实时用于
-
00:18:55.89 - 00:18:59.07 5
操作员培训
-
00:18:59.07 - 00:19:00.06 7
以及数字试运行
-
00:19:00.14 - 00:19:03.32 4
这一点在
-
00:19:03.32 - 00:19:04.81 4
本教程中
-
00:19:04.88 - 00:19:08.07 6
重点进行强调
-
00:19:08.07 - 00:19:09.41 2
好的
-
00:19:09.41 - 00:19:12.61 5
这仅是一个
-
00:19:12.61 - 00:19:13.10 10
关于混合侧的快速概览
-
00:19:13.17 - 00:19:16.36 7
让我快速将齿轮
-
00:19:16.36 - 00:19:16.51 6
切换到换热器
-
00:19:16.58 - 00:19:19.77 2
现在
-
00:19:19.77 - 00:19:20.34 5
我要做的是
-
00:19:20.34 - 00:19:23.96 7
进行换热器展示
-
00:19:23.96 - 00:19:25.97 14
来讨论一些非常有趣的关键研究
-
00:19:26.05 - 00:19:29.67 11
这些研究事关于整体优化
-
00:19:29.67 - 00:19:30.87 12
以及如何确保流动的均匀性
-
00:19:30.95 - 00:19:34.57 7
通过换热器上的
-
00:19:34.57 - 00:19:35.38 7
进料歧管来开展
-
00:19:35.38 - 00:19:39.84 4
管道内部
-
00:19:39.84 - 00:19:42.32 11
的特殊几何结构细节优化
-
00:19:42.42 - 00:19:46.88 9
或真正提升换热能力
-
00:19:46.88 - 00:19:47.97 2
同时
-
00:19:48.07 - 00:19:52.54 4
减少压降
-
00:19:52.54 - 00:19:54.03 10
然后是共轭传热的概念
-
00:19:54.03 - 00:19:57.29 3
实际上
-
00:19:57.29 - 00:19:58.45 8
这是一个关键需求
-
00:19:58.52 - 00:20:01.79 6
能够精确建模
-
00:20:01.79 - 00:20:02.44 7
设计的共轭传递
-
00:20:02.51 - 00:20:05.77 5
并排除故障
-
00:20:05.77 - 00:20:07.30 5
优化换热器
-
00:20:07.30 - 00:20:10.45 5
部分换热器
-
00:20:10.45 - 00:20:12.35 7
或许会经历疲劳
-
00:20:12.42 - 00:20:15.58 8
准确的说是热疲劳
-
00:20:15.58 - 00:20:16.63 4
如果它们
-
00:20:16.70 - 00:20:19.86 8
继续经历冷热循环
-
00:20:19.86 - 00:20:20.50 17
因此实际上这里有一些不错的关键研究
-
00:20:20.50 - 00:20:23.66 7
关于许多换热器
-
00:20:23.66 - 00:20:25.06 9
正在经历的多相流体
-
00:20:25.13 - 00:20:28.30 4
或相变化
-
00:20:28.30 - 00:20:28.58 8
通过加热或者冷凝
-
00:20:28.65 - 00:20:31.81 7
能够实现该操作
-
00:20:31.81 - 00:20:31.95 5
且非常有趣
-
00:20:31.95 - 00:20:35.62 7
而这取决于应用
-
00:20:35.62 - 00:20:36.60 2
然后
-
00:20:36.68 - 00:20:40.34 15
正如我们在混合分析中所做的那样
-
00:20:40.34 - 00:20:41.40 7
总是会努力消除
-
00:20:41.49 - 00:20:45.15 8
3D组件水平仿真
-
00:20:45.15 - 00:20:46.46 14
与OD系统水平仿真之间的差异
-
00:20:46.46 - 00:20:49.82 8
这点总是非常有趣
-
00:20:49.82 - 00:20:51.01 4
您将如何
-
00:20:51.08 - 00:20:54.44 12
将详细的3D CFD仿真
-
00:20:54.44 - 00:20:55.04 11
转换成一个能够通过自身
-
00:20:55.11 - 00:20:58.47 13
或者作为系统的一个集成部分
-
00:20:58.47 - 00:21:01.83 10
轻松消耗掉的降阶模型
-
00:21:01.83 - 00:21:02.35 5
再举个例子
-
00:21:02.43 - 00:21:05.79 6
我将在此讲解
-
00:21:05.79 - 00:21:05.86 8
所有的突破性主题
-
00:21:05.94 - 00:21:09.29 6
出于时间考虑
-
00:21:09.29 - 00:21:09.97 3
我只会
-
00:21:09.97 - 00:21:12.53 8
为您提供一个理念
-
00:21:12.60 - 00:21:15.71 12
这里是一个不错的案例分析
-
00:21:15.71 - 00:21:16.27 4
稍后会在
-
00:21:16.34 - 00:21:19.45 9
最优形状优化中强调
-
00:21:19.45 - 00:21:20.84 2
通常
-
00:21:20.84 - 00:21:23.94 11
有一些方式可以优化形状
-
00:21:23.94 - 00:21:24.49 4
举个例子
-
00:21:24.56 - 00:21:27.67 10
这里有一个歧管和优化
-
00:21:27.67 - 00:21:28.22 5
如果您认为
-
00:21:28.29 - 00:21:31.39 7
它可以以CAD
-
00:21:31.39 - 00:21:31.88 10
参数或自由形式为基础
-
00:21:31.88 - 00:21:34.96 5
您可以实际
-
00:21:34.96 - 00:21:35.72 7
改变该几何结构
-
00:21:35.78 - 00:21:38.87 9
这就是实际上部署的
-
00:21:38.87 - 00:21:39.42 2
因此
-
00:21:39.49 - 00:21:42.57 7
在该特殊案例中
-
00:21:42.57 - 00:21:43.81 17
实际上使用了Fluent伴随求解器
-
00:21:43.81 - 00:21:48.67 7
来改变几何结构
-
00:21:48.67 - 00:21:49.65 7
确保管道上流动
-
00:21:49.75 - 00:21:54.62 4
的均匀性
-
00:21:54.62 - 00:21:55.38 8
以及传热器的适宜
-
00:21:55.49 - 00:21:59.71 9
那么 这是一个方面
-
00:21:59.71 - 00:22:03.21 17
这是另一个案例 独立管道的优化研究
-
00:22:03.21 - 00:22:05.23 13
通过优化管道的螺旋几何结构
-
00:22:05.31 - 00:22:08.82 6
或者螺旋压印
-
00:22:08.82 - 00:22:09.91 11
或者管道自身的螺旋特性
-
00:22:09.98 - 00:22:13.49 1
以
-
00:22:13.49 - 00:22:14.42 2
增强
-
00:22:14.42 - 00:22:18.38 4
传热性能
-
00:22:18.38 - 00:22:19.69 6
同时保证压降
-
00:22:19.78 - 00:22:20.49 6
处于控制之下
-
00:22:20.49 - 00:22:25.14 9
将幻灯片切换到环境
-
00:22:25.14 - 00:22:28.45 7
和污染控制部分
-
00:22:28.55 - 00:22:33.21 11
我将再次强调其关键方面
-
00:22:33.21 - 00:22:34.03 3
分别是
-
00:22:34.14 - 00:22:37.14 6
调整燃烧流程
-
00:22:37.14 - 00:22:41.35 7
减少排放的技术
-
00:22:41.35 - 00:22:43.69 8
排放气体质量控制
-
00:22:43.79 - 00:22:45.76 6
以及水质控制
-
00:22:45.76 - 00:22:49.44 13
只是为了向您提供一个理念,
-
00:22:49.52 - 00:22:53.21 11
例如寻求调整燃烧流程时
-
00:22:53.21 - 00:22:55.83 9
这些涉及燃烧的设备
-
00:22:55.91 - 00:22:59.60 5
都非常复杂
-
00:22:59.60 - 00:23:00.25 7
此时的关键在于
-
00:23:00.25 - 00:23:03.86 21
将氮氧化物和一氧化碳排放保持在控制范围之内
-
00:23:03.94 - 00:23:07.63 19
正如我们所知 这两类污染物NOx和CO
-
00:23:07.63 - 00:23:08.94 9
排放量呈现反向关系
-
00:23:09.02 - 00:23:12.71 9
如果您控制其中一类
-
00:23:12.71 - 00:23:13.12 7
另一类就会增加
-
00:23:13.12 - 00:23:16.44 4
因此总要
-
00:23:16.44 - 00:23:17.48 9
在二者之间保持平衡
-
00:23:17.55 - 00:23:20.65 9
并且 同时需要确保
-
00:23:20.73 - 00:23:24.05 8
设备可以正常运转
-
00:23:24.05 - 00:23:25.83 12
不会出现任何重大维护问题
-
00:23:25.83 - 00:23:28.96 15
如今Ansys在燃烧领域的功能
-
00:23:28.96 - 00:23:30.08 7
已经问世数十年
-
00:23:30.15 - 00:23:33.28 12
所以 拥有完整的解决方案
-
00:23:33.28 - 00:23:35.09 13
针对加热熔炉 转化炉 蒸炉
-
00:23:35.16 - 00:23:38.30 5
和燃气轮机
-
00:23:38.30 - 00:23:38.51 8
还有大量针对不同
-
00:23:38.51 - 00:23:41.61 5
配置的燃烧
-
00:23:41.61 - 00:23:43.20 4
模型套件
-
00:23:43.27 - 00:23:46.37 13
以及针对氮氧化物 硫氧化物
-
00:23:46.37 - 00:23:47.06 12
和碳烟的多种污染模型套件
-
00:23:47.13 - 00:23:49.68 7
现在您可以想象
-
00:23:49.68 - 00:23:52.72 7
仿真的优势在于
-
00:23:52.72 - 00:23:53.93 5
能够确保您
-
00:23:54.00 - 00:23:57.04 12
遵守污染物排放方面的法规
-
00:23:57.04 - 00:23:57.98 4
举个例子
-
00:23:58.05 - 00:24:01.09 8
能够让您深入理解
-
00:24:01.09 - 00:24:01.36 6
使您可以执行
-
00:24:01.36 - 00:24:04.39 7
不同的假设场景
-
00:24:04.39 - 00:24:05.61 11
涵盖多个不同燃烧器设计
-
00:24:05.68 - 00:24:08.71 4
染料更换
-
00:24:08.71 - 00:24:09.66 8
甚至空气/燃料比
-
00:24:09.73 - 00:24:12.76 7
这一操作条件等
-
00:24:12.76 - 00:24:12.90 8
以及其他类似条件
-
00:24:12.90 - 00:24:16.72 10
以一种非常高效的方式
-
00:24:16.72 - 00:24:17.06 6
开展所有测试
-
00:24:17.06 - 00:24:20.52 3
接下来
-
00:24:20.52 - 00:24:20.91 13
我切换到教程的最后一个部分
-
00:24:20.99 - 00:24:24.38 6
关于气液设备
-
00:24:24.46 - 00:24:27.92 9
我将简要地进行讲解
-
00:24:27.92 - 00:24:29.62 10
实际上其处理的对象是
-
00:24:29.62 - 00:24:33.09 8
鼓泡塔旋风分离器
-
00:24:33.09 - 00:24:36.17 11
隔板蒸馏塔 填充蒸馏塔
-
00:24:36.24 - 00:24:39.71 8
以及滴流床反应器
-
00:24:39.71 - 00:24:40.25 9
依旧如您想象的那样
-
00:24:40.32 - 00:24:43.79 6
每个部分之中
-
00:24:43.79 - 00:24:43.94 7
都存在不少细节
-
00:24:43.94 - 00:24:47.61 8
但我们只需要强调
-
00:24:47.61 - 00:24:47.93 2
例如
-
00:24:48.01 - 00:24:50.62 9
当我们讨论鼓泡塔时
-
00:24:50.62 - 00:24:53.95 10
关键是这些塔非常复杂
-
00:24:53.95 - 00:24:55.06 3
原因是
-
00:24:55.13 - 00:24:58.47 6
其中存在大量
-
00:24:58.47 - 00:24:58.76 4
流型转变
-
00:24:58.84 - 00:25:02.17 11
而不是只有一个单一流型
-
00:25:02.17 - 00:25:02.32 4
难点在于
-
00:25:02.32 - 00:25:05.65 4
如何预测
-
00:25:05.65 - 00:25:06.10 5
由于聚结合
-
00:25:06.17 - 00:25:09.50 6
和破碎引起的
-
00:25:09.50 - 00:25:10.61 6
气泡尺寸分布
-
00:25:10.69 - 00:25:13.95 9
我们为何需要如此呢
-
00:25:13.95 - 00:25:16.90 9
原因是气泡尺寸分布
-
00:25:16.90 - 00:25:18.48 6
将会直接影响
-
00:25:18.54 - 00:25:21.50 16
这些鼓泡塔中的质量传递和化学反应
-
00:25:21.50 - 00:25:23.20 9
而且可能这些鼓泡塔
-
00:25:23.27 - 00:25:26.22 7
并非笔直的管道
-
00:25:26.22 - 00:25:26.75 7
可能会存在一些
-
00:25:26.75 - 00:25:29.36 9
内部分布和内部配件
-
00:25:29.36 - 00:25:30.46 7
而这些内部配件
-
00:25:30.52 - 00:25:33.13 7
都需要进行仿真
-
00:25:33.13 - 00:25:34.23 8
甚至需要进行优化
-
00:25:34.29 - 00:25:36.90 12
从而确保气泡尺寸分布合理
-
00:25:36.90 - 00:25:37.95 4
而该操作
-
00:25:37.95 - 00:25:41.24 10
将会直接影响质量传递
-
00:25:41.24 - 00:25:41.97 6
以及化学反应
-
00:25:41.97 - 00:25:45.47 5
大家都知道
-
00:25:45.47 - 00:25:46.64 10
这些问题同样涉及放大
-
00:25:46.72 - 00:25:50.23 13
因此对于Ansys功能而言
-
00:25:50.23 - 00:25:51.01 7
Ansys拥有
-
00:25:51.08 - 00:25:54.59 9
多相模型的完整套件
-
00:25:54.59 - 00:25:55.84 4
包括最新
-
00:25:55.84 - 00:25:59.24 5
且最强大的
-
00:25:59.24 - 00:26:00.52 11
Asnys多相套件插件
-
00:26:00.60 - 00:26:04.00 13
那就是代数内面区域密度模型
-
00:26:04.00 - 00:26:05.21 3
该模型
-
00:26:05.29 - 00:26:08.69 12
是我们最新的多相模型之一
-
00:26:08.69 - 00:26:10.28 12
在流型变化或者多流型建模
-
00:26:10.28 - 00:26:13.46 8
方面功能十分强大
-
00:26:13.46 - 00:26:14.17 6
而且众所周知
-
00:26:14.24 - 00:26:17.08 7
Ansys拥有
-
00:26:17.15 - 00:26:20.34 13
应用范围广泛的湍流建模功能
-
00:26:20.34 - 00:26:21.61 12
现在作为该模型的一个输出
-
00:26:21.61 - 00:26:24.38 8
我们可以轻松预测
-
00:26:24.45 - 00:26:27.64 6
气泡尺寸分布
-
00:26:27.64 - 00:26:29.12 8
和不断提高的速度
-
00:26:29.20 - 00:26:32.38 8
预测质量传递速率
-
00:26:32.38 - 00:26:33.02 7
以及不同相之间
-
00:26:33.02 - 00:26:35.88 5
的反应速率
-
00:26:35.88 - 00:26:38.85 14
一个优化的内部几何结构和分布
-
00:26:38.85 - 00:26:40.37 4
我最后要
-
00:26:40.44 - 00:26:43.41 5
讲到的部分
-
00:26:43.41 - 00:26:43.94 5
是本教程的
-
00:26:44.01 - 00:26:46.99 4
重中之重
-
00:26:46.99 - 00:26:48.18 7
我希望在本教程
-
00:26:48.18 - 00:26:51.15 7
中快速进行讲解
-
00:26:51.15 - 00:26:52.01 4
整个教程
-
00:26:52.08 - 00:26:55.05 13
都有这个功能非常强大的部分
-
00:26:55.05 - 00:26:56.24 6
我强烈推荐您
-
00:26:56.31 - 00:26:59.29 12
花时间观看 每部分教程
-
00:26:59.29 - 00:27:00.61 8
都有额外的资源页
-
00:27:00.61 - 00:27:03.56 5
上面列举了
-
00:27:03.56 - 00:27:04.74 10
附加的技术文件等资料
-
00:27:04.80 - 00:27:07.75 14
这些资料与我展示的混合案例中
-
00:27:07.75 - 00:27:08.27 7
的特定主题相关
-
00:27:08.34 - 00:27:11.29 8
我同样强调每部分
-
00:27:11.29 - 00:27:13.32 2
教程
-
00:27:13.32 - 00:27:16.18 11
都会有一个应用简介部分
-
00:27:16.18 - 00:27:17.01 7
所有的这些链接
-
00:27:17.07 - 00:27:19.93 6
您都可以点击
-
00:27:19.93 - 00:27:21.07 11
预览更多的一些客户案例
-
00:27:21.14 - 00:27:24.00 8
这些案例对您来说
-
00:27:24.00 - 00:27:25.08 6
完全公开可用
-
00:27:25.08 - 00:27:27.87 9
您可以查看这些案例
-
00:27:27.94 - 00:27:30.80 11
看看其他客户是如何做的
-
00:27:30.80 - 00:27:31.88 9
事实上 这两个部分
-
00:27:31.94 - 00:27:34.81 5
是我的最爱
-
00:27:34.81 - 00:27:35.06 4
适合那些
-
00:27:35.06 - 00:27:38.03 8
真正想要动手实践
-
00:27:38.03 - 00:27:38.69 8
了解如何建模的人
-
00:27:38.76 - 00:27:41.73 2
因此
-
00:27:41.73 - 00:27:41.80 13
这里有一个诀窍和技巧选项卡
-
00:27:41.86 - 00:27:44.83 4
重点讲解
-
00:27:44.83 - 00:27:45.62 7
一些诀窍和技巧
-
00:27:45.62 - 00:27:48.73 2
例如
-
00:27:48.73 - 00:27:49.07 17
这里有一个不错的YouTube视频
-
00:27:49.14 - 00:27:52.25 9
与建模混合槽罐有关
-
00:27:52.25 - 00:27:53.35 8
该视频是公开视频
-
00:27:53.42 - 00:27:56.52 11
鼓励对该主题感兴趣的人
-
00:27:56.52 - 00:27:56.87 4
认真观看
-
00:27:56.87 - 00:27:59.49 5
而且我希望
-
00:27:59.56 - 00:28:02.67 6
确保人们知道
-
00:28:02.67 - 00:28:03.57 9
Ansys学习中心
-
00:28:03.64 - 00:28:06.67 8
我们再以混合为例
-
00:28:06.67 - 00:28:10.35 10
我们在学习中心添加了
-
00:28:10.35 - 00:28:10.59 6
一个分离区域
-
00:28:10.68 - 00:28:14.35 7
只关注混合问题
-
00:28:14.35 - 00:28:15.09 4
而该区域
-
00:28:15.17 - 00:28:18.84 9
将会不断增加新内容
-
00:28:18.84 - 00:28:20.89 5
供应新材料
-
00:28:20.89 - 00:28:24.12 2
因此
-
00:28:24.12 - 00:28:24.91 5
我建议大家
-
00:28:24.98 - 00:28:26.57 12
注册Ansys 学习中心
-
00:28:26.57 - 00:28:29.70 2
比如
-
00:28:29.70 - 00:28:30.19 9
如果您对混合感兴趣
-
00:28:30.26 - 00:28:33.40 8
请确保您已经知晓
-
00:28:33.40 - 00:28:33.60 3
并且您
-
00:28:33.67 - 00:28:36.81 8
可以访问这个区域
-
00:28:36.81 - 00:28:36.88 2
而且
-
00:28:36.88 - 00:28:40.11 12
通常这里有典型的标准课程
-
00:28:40.11 - 00:28:41.12 10
关于fluent多相
-
00:28:41.19 - 00:28:44.42 7
的一些案例介绍
-
00:28:44.42 - 00:28:45.79 20
以及Ansys Mechanical课程
-
00:28:45.86 - 00:28:49.09 8
继续讲解混合话题
-
00:28:49.09 - 00:28:49.45 3
该页面
-
00:28:49.45 - 00:28:52.73 10
涵盖了化学和流程行业
-
00:28:52.73 - 00:28:54.04 7
所有的不同方面
-
00:28:54.11 - 00:28:57.39 4
一如既往
-
00:28:57.39 - 00:28:57.83 10
切记如果您有任何问题
-
00:28:57.90 - 00:29:01.18 12
请通过该 联系我们 按钮
-
00:29:01.18 - 00:29:01.47 6
随时联系我们
-
00:29:01.47 - 00:29:04.74 2
因为
-
00:29:04.74 - 00:29:05.03 5
信息量庞大
-
00:29:05.11 - 00:29:08.38 1
而
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00:29:08.38 - 00:29:09.18 4
时间有限
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00:29:09.25 - 00:29:12.23 11
我们不可能讲得面面俱到
-
00:29:12.23 - 00:29:15.55 10
但您若有任何细节问题
-
00:29:15.55 - 00:29:15.92 4
不必客气
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00:29:15.99 - 00:29:19.31 8
欢迎随时联系我们
-
00:29:19.31 - 00:29:19.90 4
非常感谢
-
00:29:19.97 - 00:29:21.23 11
希望您开心地学好本课程
-
00:00:00.00 - 00:00:03.94 42
And thank you for joining the chemical and
-
00:00:03.94 - 00:00:05.17 16
process industry
-
00:00:05.25 - 00:00:05.61 5
booth
-
00:00:05.61 - 00:00:09.70 46
Now our booth actually because it's so generic
-
00:00:09.70 - 00:00:11.06 14
about chemical
-
00:00:11.16 - 00:00:15.25 43
and process industry in general we actually
-
00:00:15.25 - 00:00:16.80 18
have compiled four
-
00:00:16.89 - 00:00:20.98 23
different presentations
-
00:00:20.98 - 00:00:23.80 28
that are on different topics
-
00:00:23.80 - 00:00:27.74 42
so the first one will be focused on mixing
-
00:00:27.74 - 00:00:28.35 9
equipment
-
00:00:28.44 - 00:00:32.37 38
the second one will be focused on heat
-
00:00:32.37 - 00:00:33.24 16
exchanger design
-
00:00:33.33 - 00:00:37.26 43
and development the third presentation will
-
00:00:37.26 - 00:00:39.54 27
be focused on environmental
-
00:00:39.54 - 00:00:43.08 47
pollution control and then the 4fourth and last
-
00:00:43.08 - 00:00:44.26 16
presentation but
-
00:00:44.34 - 00:00:47.89 42
certainly not least will be focused on gas
-
00:00:47.89 - 00:00:48.99 16
liquid equipment
-
00:00:49.07 - 00:00:52.61 41
and what I'm trying to do within the next
-
00:00:52.61 - 00:00:52.77 5
let's
-
00:00:52.77 - 00:00:55.84 39
say 25 minutes or so is give you a high
-
00:00:55.92 - 00:00:59.46 43
level overview of the wealth of information
-
00:00:59.46 - 00:01:00.33 12
that we have
-
00:01:00.41 - 00:01:03.95 42
compiled in those four presentations but I
-
00:01:03.95 - 00:01:05.69 24
definitely encourage you
-
00:01:05.69 - 00:01:10.18 40
to both download the PDF file as well as
-
00:01:10.28 - 00:01:14.98 33
watch the other videos in details
-
00:01:14.98 - 00:01:15.40 3
for
-
00:01:15.50 - 00:01:20.20 45
all these four different presentations and to
-
00:01:20.20 - 00:01:21.35 10
be able to
-
00:01:21.35 - 00:01:26.73 44
find more information and so if I go back to
-
00:01:26.85 - 00:01:28.08 10
the mixing
-
00:01:28.08 - 00:01:31.36 44
equipment presentation best practices I will
-
00:01:31.36 - 00:01:32.24 12
try to go to
-
00:01:32.31 - 00:01:35.60 39
highlight again the key aspects of this
-
00:01:35.60 - 00:01:36.77 21
presentation and keep
-
00:01:36.84 - 00:01:40.13 45
in mind that the other three presentations on
-
00:01:40.13 - 00:01:41.30 15
heat exchangers
-
00:01:41.30 - 00:01:44.59 42
on environmental control and on gas liquid
-
00:01:44.59 - 00:01:45.68 17
systems do follow
-
00:01:45.76 - 00:01:49.04 41
pretty much the same layout and I'm again
-
00:01:49.04 - 00:01:49.41 8
going to
-
00:01:49.48 - 00:01:52.77 44
highlight the key applications over there so
-
00:01:52.77 - 00:01:53.72 13
with that set
-
00:01:53.72 - 00:01:58.31 41
the let's focus on our first presentation
-
00:01:58.31 - 00:01:59.33 13
here which is
-
00:01:59.43 - 00:02:03.62 26
targeting mixing equipment
-
00:02:03.62 - 00:02:07.89 45
Now in terms of challenges that you know face
-
00:02:07.89 - 00:02:08.55 6
people
-
00:02:08.65 - 00:02:12.92 44
in this industry when we're dealing with how
-
00:02:12.92 - 00:02:13.87 10
to operate
-
00:02:13.96 - 00:02:16.53 27
mixing equipment in general
-
00:02:16.53 - 00:02:20.41 45
Things like scale up and actually scaled down
-
00:02:20.41 - 00:02:21.19 8
are very
-
00:02:21.28 - 00:02:25.17 45
common issues and in in simple words scale up
-
00:02:25.17 - 00:02:25.68 5
means
-
00:02:25.77 - 00:02:29.66 46
once you have optimized a lap scale or a bench
-
00:02:29.66 - 00:02:30.18 5
scale
-
00:02:30.18 - 00:02:33.40 36
mixing process how can you take this
-
00:02:33.40 - 00:02:34.26 20
production level how
-
00:02:34.33 - 00:02:37.55 44
you can take it from the liters length scale
-
00:02:37.55 - 00:02:37.70 2
to
-
00:02:37.77 - 00:02:40.99 42
thousands of liters length scale and still
-
00:02:40.99 - 00:02:42.21 19
maintain the proper
-
00:02:42.21 - 00:02:45.28 43
mixing behavior that you have tested in the
-
00:02:45.28 - 00:02:45.69 7
lab the
-
00:02:45.75 - 00:02:48.82 40
opposite is also sometimes with interest
-
00:02:48.82 - 00:02:49.78 18
which is the scale
-
00:02:49.84 - 00:02:52.91 43
down process and potentially you may have a
-
00:02:52.91 - 00:02:53.66 12
large mixing
-
00:02:53.66 - 00:02:56.93 46
vessel or a large mixing setup that is working
-
00:02:56.93 - 00:02:57.80 12
properly and
-
00:02:57.87 - 00:03:01.14 40
potentially you may have other scenarios
-
00:03:01.14 - 00:03:02.08 17
where you want to
-
00:03:02.15 - 00:03:05.42 42
be able to operate smaller versions of the
-
00:03:05.42 - 00:03:06.36 15
equipment maybe
-
00:03:06.36 - 00:03:09.61 44
that will allow you to customize and come up
-
00:03:09.61 - 00:03:09.89 4
with
-
00:03:09.97 - 00:03:13.21 41
newer products maybe it provides you with
-
00:03:13.21 - 00:03:14.65 23
additional control that
-
00:03:14.72 - 00:03:17.96 45
you don't have on the larger scale and things
-
00:03:17.96 - 00:03:18.32 4
like
-
00:03:18.32 - 00:03:21.25 40
that so both scale up and scale down are
-
00:03:21.25 - 00:03:21.51 8
actually
-
00:03:21.57 - 00:03:24.50 38
quite common scenarios that people are
-
00:03:24.50 - 00:03:25.54 22
interested in and it's
-
00:03:25.60 - 00:03:28.53 25
always about yield how to
-
00:03:28.53 - 00:03:29.70 25
increase the productivity
-
00:03:29.70 - 00:03:32.86 42
of existing equipment how can you actually
-
00:03:32.86 - 00:03:33.77 15
reduce the time
-
00:03:33.84 - 00:03:37.01 44
to market and potentially even introduce new
-
00:03:37.01 - 00:03:38.41 20
products that's very
-
00:03:38.48 - 00:03:41.65 43
common challenges and other things that are
-
00:03:41.65 - 00:03:42.98 21
also worth mentioning
-
00:03:42.98 - 00:03:46.87 45
here is While doing experimentation trying to
-
00:03:46.87 - 00:03:47.99 12
come up with
-
00:03:48.08 - 00:03:51.96 42
the optimized mixing process regardless of
-
00:03:51.96 - 00:03:52.57 9
the scale
-
00:03:52.57 - 00:03:55.80 45
people always keep a close eye on for example
-
00:03:55.80 - 00:03:56.45 8
material
-
00:03:56.52 - 00:03:59.76 44
costs depending on the material that you are
-
00:03:59.76 - 00:04:00.62 12
working with
-
00:04:00.69 - 00:04:03.93 34
you know again while you are doing
-
00:04:03.93 - 00:04:04.58 19
experiments this is
-
00:04:04.58 - 00:04:07.81 42
lost material this is lost material so you
-
00:04:07.81 - 00:04:08.17 7
want to
-
00:04:08.24 - 00:04:11.48 43
reduce that for example in the extreme case
-
00:04:11.48 - 00:04:11.77 5
of in
-
00:04:11.84 - 00:04:15.08 35
the pharma industry the APIs active
-
00:04:15.08 - 00:04:17.16 38
pharmaceutical ingredient can actually
-
00:04:17.16 - 00:04:20.89 41
in many cases be more expensive than gold
-
00:04:20.89 - 00:04:21.39 9
itself so
-
00:04:21.48 - 00:04:25.21 40
you can imagine any loss batch me may be
-
00:04:25.21 - 00:04:25.29 5
quite
-
00:04:25.38 - 00:04:29.11 45
painful actually to lose the other thing also
-
00:04:29.11 - 00:04:29.77 7
is when
-
00:04:29.77 - 00:04:34.05 43
doing experimentation in many cases you may
-
00:04:34.05 - 00:04:35.47 16
actually have to
-
00:04:35.57 - 00:04:39.84 41
wait for the availability of lab space to
-
00:04:39.84 - 00:04:40.60 11
actually do
-
00:04:40.70 - 00:04:44.97 44
your own experiments so and that can in some
-
00:04:44.97 - 00:04:45.45 5
cases
-
00:04:45.45 - 00:04:49.35 42
actually cause weeks of delay Another very
-
00:04:49.35 - 00:04:51.34 25
common challenge actually
-
00:04:51.42 - 00:04:55.32 38
is when running these equipment mixing
-
00:04:55.32 - 00:04:55.76 9
equipment
-
00:04:55.76 - 00:04:58.59 32
obviously you may end up running
-
00:04:58.59 - 00:04:59.73 19
different materials
-
00:04:59.79 - 00:05:02.63 39
in different times and while doing this
-
00:05:02.63 - 00:05:03.20 14
change over of
-
00:05:03.26 - 00:05:06.10 40
materials you want to make sure that the
-
00:05:06.10 - 00:05:06.60 12
equipment is
-
00:05:06.60 - 00:05:09.44 42
cleansed properly or clean properly before
-
00:05:09.44 - 00:05:10.32 16
the new batch is
-
00:05:10.39 - 00:05:13.23 43
introduced so then the question is how long
-
00:05:13.23 - 00:05:13.60 7
is this
-
00:05:13.67 - 00:05:16.51 37
change overtime is right and also how
-
00:05:16.51 - 00:05:17.07 16
efficient is the
-
00:05:17.07 - 00:05:20.00 46
cleaning process because again change overtime
-
00:05:20.00 - 00:05:20.84 12
is time that
-
00:05:20.91 - 00:05:23.83 42
basically is lost right but you still have
-
00:05:23.83 - 00:05:24.15 5
to go
-
00:05:24.22 - 00:05:27.14 37
through it when you are changing from
-
00:05:27.14 - 00:05:27.72 13
material A to
-
00:05:27.72 - 00:05:33.21 45
material B other challenges that again people
-
00:05:33.21 - 00:05:35.53 18
are always looking
-
00:05:35.65 - 00:05:36.39 6
at are
-
00:05:36.39 - 00:05:39.24 42
power consumption again these depending on
-
00:05:39.24 - 00:05:40.19 15
the size of the
-
00:05:40.25 - 00:05:43.11 45
mixing tank power consumption may actually be
-
00:05:43.11 - 00:05:44.31 18
a substantial part
-
00:05:44.38 - 00:05:46.79 38
of your operating costs and then again
-
00:05:46.79 - 00:05:49.77 44
You always are dealing with an entire system
-
00:05:49.77 - 00:05:50.30 8
it's not
-
00:05:50.37 - 00:05:53.15 42
just the mixing tank on its own so how are
-
00:05:53.22 - 00:05:56.21 37
the different components of different
-
00:05:56.21 - 00:05:58.00 34
ingredients of the system actually
-
00:05:58.00 - 00:06:00.98 45
are interacting with each other and are these
-
00:06:00.98 - 00:06:02.44 21
individual components
-
00:06:02.51 - 00:06:05.49 44
properly sized with respect to each other or
-
00:06:05.49 - 00:06:05.95 7
not and
-
00:06:06.02 - 00:06:09.00 43
then last but not least potentially looking
-
00:06:09.00 - 00:06:10.13 18
into designing and
-
00:06:10.13 - 00:06:13.10 24
testing a control system
-
00:06:13.10 - 00:06:13.70 3
for
-
00:06:13.76 - 00:06:16.74 42
the operating for the actual operation and
-
00:06:16.74 - 00:06:17.86 19
potentially how you
-
00:06:17.93 - 00:06:20.90 45
can commission the system before you actually
-
00:06:20.90 - 00:06:21.76 12
move to full
-
00:06:21.76 - 00:06:25.24 42
scale production so these are just general
-
00:06:25.24 - 00:06:29.72 43
challenges now the fact that we're all here
-
00:06:29.72 - 00:06:30.72 11
and talking
-
00:06:30.82 - 00:06:35.31 45
obviously acknowledges that we all appreciate
-
00:06:35.31 - 00:06:37.70 23
what simulation is able
-
00:06:37.80 - 00:06:42.29 38
to provide for mixing analysis in this
-
00:06:42.29 - 00:06:43.59 19
particular case and
-
00:06:43.59 - 00:06:47.42 43
these are just some general numbers that we
-
00:06:47.42 - 00:06:48.44 13
have compiled
-
00:06:48.53 - 00:06:52.36 31
to quantify the benefit and the
-
00:06:52.36 - 00:06:53.72 20
impact of simulation
-
00:06:53.81 - 00:06:57.64 38
on mixing equipment utilization so for
-
00:06:57.64 - 00:06:58.75 19
example here we did
-
00:06:58.75 - 00:07:02.59 43
an internal study that actually proved that
-
00:07:02.59 - 00:07:03.27 9
just a 1%
-
00:07:03.27 - 00:07:07.42 42
just the 1% increase in concentration of a
-
00:07:07.42 - 00:07:08.80 17
particular mixing
-
00:07:08.90 - 00:07:13.04 40
process may yield to millions of dollars
-
00:07:13.04 - 00:07:14.24 11
revenue per
-
00:07:14.33 - 00:07:14.80 5
batch
-
00:07:14.80 - 00:07:17.62 42
Another study actually which was published
-
00:07:17.62 - 00:07:19.00 24
which is published right
-
00:07:19.06 - 00:07:21.88 44
here you can actually click on that link and
-
00:07:21.88 - 00:07:22.38 8
actually
-
00:07:22.45 - 00:07:25.27 41
go to the details that there was actually
-
00:07:25.27 - 00:07:25.52 3
40%
-
00:07:25.52 - 00:07:28.88 44
reduction in culture development time that's
-
00:07:28.88 - 00:07:30.89 26
actually possible And last
-
00:07:30.96 - 00:07:34.32 43
but not least here is through reduced order
-
00:07:34.32 - 00:07:35.66 19
modeling technology
-
00:07:35.74 - 00:07:38.80 41
we are able to cut down the time for your
-
00:07:38.80 - 00:07:42.74 41
general simulation by orders of magnitude
-
00:07:42.74 - 00:07:44.67 25
again using reduced order
-
00:07:44.75 - 00:07:48.70 44
modeling technology which again we are going
-
00:07:48.70 - 00:07:50.53 21
to revisit throughout
-
00:07:50.62 - 00:07:51.94 15
this conference
-
00:07:51.94 - 00:07:56.55 40
Now going deeper into the mixing side of
-
00:07:56.55 - 00:07:57.07 9
things so
-
00:07:57.17 - 00:08:01.79 43
we have here multiple or several simulation
-
00:08:01.79 - 00:08:04.25 25
scenarios or representing
-
00:08:04.35 - 00:08:08.97 43
different problems that simulation has been
-
00:08:08.97 - 00:08:10.72 18
used into so first
-
00:08:10.72 - 00:08:14.24 45
we're going to very quickly talk about single
-
00:08:14.24 - 00:08:15.25 12
phase mixing
-
00:08:15.33 - 00:08:15.65 4
then
-
00:08:15.65 - 00:08:19.46 35
gas liquid systems and bio reactors
-
00:08:19.46 - 00:08:22.92 42
solid liquid systems and solid for example
-
00:08:22.92 - 00:08:24.15 18
which are relevant
-
00:08:24.22 - 00:08:27.69 39
in solid dissolution systems we'll also
-
00:08:27.69 - 00:08:29.53 30
quickly look into intermeshing
-
00:08:29.61 - 00:08:33.07 44
mixers where you may potentially have mixers
-
00:08:33.07 - 00:08:34.38 17
that are actually
-
00:08:34.38 - 00:08:38.00 44
intermeshing as they are mixing the material
-
00:08:38.00 - 00:08:39.94 24
quickly highlight static
-
00:08:40.02 - 00:08:42.68 33
mixers and where they can be used
-
00:08:42.68 - 00:08:45.77 44
I did mention the clean in place process and
-
00:08:45.77 - 00:08:46.59 12
then towards
-
00:08:46.66 - 00:08:49.75 43
the end we will again highlight the concept
-
00:08:49.75 - 00:08:50.57 13
of simulation
-
00:08:50.64 - 00:08:53.46 41
democratization and system level modeling
-
00:08:53.46 - 00:08:56.84 44
So very quickly here when it comes to single
-
00:08:56.84 - 00:08:57.22 5
phase
-
00:08:57.30 - 00:09:00.68 44
mixing usually this is the first place where
-
00:09:00.68 - 00:09:01.89 16
everybody starts
-
00:09:01.96 - 00:09:05.35 44
because it is very well documented it is the
-
00:09:05.35 - 00:09:05.88 7
easiest
-
00:09:05.88 - 00:09:09.27 43
to deploy and actually it provides a wealth
-
00:09:09.27 - 00:09:10.32 14
of information
-
00:09:10.40 - 00:09:13.79 44
already that is very useful for people so we
-
00:09:13.79 - 00:09:14.01 3
did
-
00:09:14.09 - 00:09:17.48 40
mention about the engineering challenges
-
00:09:17.48 - 00:09:18.83 22
whether it scale up or
-
00:09:18.83 - 00:09:22.24 38
scale down but specifically people are
-
00:09:22.24 - 00:09:23.76 26
interested in looking into
-
00:09:23.83 - 00:09:27.25 42
residence time and blend time estimates at
-
00:09:27.25 - 00:09:28.31 20
different scales for
-
00:09:28.38 - 00:09:31.79 44
sure looking at shear exposure especially if
-
00:09:31.79 - 00:09:32.93 15
you are dealing
-
00:09:32.93 - 00:09:36.68 37
with biological cells that are highly
-
00:09:36.68 - 00:09:37.60 18
sensitive to shear
-
00:09:37.60 - 00:09:40.78 45
That's again of interest and then potentially
-
00:09:40.78 - 00:09:41.56 10
if you are
-
00:09:41.63 - 00:09:44.81 42
in the consumer products food or chemicals
-
00:09:44.81 - 00:09:46.01 19
industry in general
-
00:09:46.08 - 00:09:49.26 40
you may be dealing with complex rheology
-
00:09:49.26 - 00:09:50.96 28
complex rheological material
-
00:09:50.96 - 00:09:54.03 43
for example non newtonian materials and how
-
00:09:54.03 - 00:09:54.78 12
you are able
-
00:09:54.85 - 00:09:57.92 40
to handle those so in terms of the Ansys
-
00:09:57.92 - 00:09:58.61 12
capabilities
-
00:09:58.67 - 00:10:01.75 45
again everybody is fully aware of both steady
-
00:10:01.75 - 00:10:02.43 9
state and
-
00:10:02.43 - 00:10:05.48 42
transient flow modeling but in addition to
-
00:10:05.48 - 00:10:06.36 15
that being also
-
00:10:06.43 - 00:10:09.48 43
able to capture multi species or scalars as
-
00:10:09.48 - 00:10:09.89 7
well as
-
00:10:09.96 - 00:10:13.01 38
particular flows and represent complex
-
00:10:13.01 - 00:10:14.16 23
rheology is a must when
-
00:10:14.16 - 00:10:17.58 45
you are interested in looking into these kind
-
00:10:17.58 - 00:10:18.42 10
of systems
-
00:10:18.49 - 00:10:19.79 17
and as an example
-
00:10:19.79 - 00:10:23.41 44
You will be able to get several outputs like
-
00:10:23.41 - 00:10:23.57 2
in
-
00:10:23.65 - 00:10:27.28 34
addition to the typical flow field
-
00:10:27.28 - 00:10:28.57 26
visualization which we can
-
00:10:28.65 - 00:10:32.11 43
see here on this slide but we can also look
-
00:10:32.11 - 00:10:35.73 41
into quantifiably quantifying things like
-
00:10:35.73 - 00:10:37.82 29
residence time and blend time
-
00:10:37.90 - 00:10:41.52 45
reports quantifying again shear rate exposure
-
00:10:41.52 - 00:10:43.69 26
for these biological cells
-
00:10:43.77 - 00:10:47.39 34
again in a quantitative as well as
-
00:10:47.39 - 00:10:48.27 21
qualitative sense and
-
00:10:48.27 - 00:10:54.18 43
we can also provide detailed mixing reports
-
00:10:54.18 - 00:10:58.09 45
The other thing is as another step people are
-
00:10:58.09 - 00:10:58.52 4
also
-
00:10:58.61 - 00:11:02.53 45
interested in looking at bio reactors and gas
-
00:11:02.53 - 00:11:03.83 14
liquid systems
-
00:11:03.92 - 00:11:07.83 44
where in addition to your typical challenges
-
00:11:07.83 - 00:11:09.22 16
for single phase
-
00:11:09.22 - 00:11:13.14 45
systems there we can be looking at gas holdup
-
00:11:13.14 - 00:11:13.92 8
problems
-
00:11:14.01 - 00:11:17.93 45
and making sure that there is no gas there is
-
00:11:18.01 - 00:11:21.93 45
no gas short circuiting and because that will
-
00:11:21.93 - 00:11:23.50 17
certainly enhance
-
00:11:23.50 - 00:11:27.05 41
the mass transfer and how or better or in
-
00:11:27.13 - 00:11:30.77 39
other words how can we predict the mass
-
00:11:30.77 - 00:11:31.66 16
transfer between
-
00:11:31.74 - 00:11:35.29 44
the gas and the liquid how can we predict if
-
00:11:35.29 - 00:11:39.15 37
there are excessive vortexing that is
-
00:11:39.15 - 00:11:40.52 23
occurring in the mixing
-
00:11:40.60 - 00:11:44.46 42
vessel which is not desirable because that
-
00:11:44.46 - 00:11:45.40 13
will create a
-
00:11:45.48 - 00:11:46.86 14
gas entrapment
-
00:11:46.86 - 00:11:50.58 43
And again as usual we always are interested
-
00:11:50.58 - 00:11:51.33 10
in looking
-
00:11:51.41 - 00:11:55.13 38
at shear rate and again as I mentioned
-
00:11:55.13 - 00:11:55.47 10
earlier in
-
00:11:55.55 - 00:11:59.27 44
terms of capabilities in the additional part
-
00:11:59.27 - 00:12:00.35 13
here is being
-
00:12:00.35 - 00:12:04.18 39
able to model multiphase flow including
-
00:12:04.18 - 00:12:06.82 36
potentially bubble size distribution
-
00:12:06.91 - 00:12:10.74 43
because that will directly impact your mass
-
00:12:10.74 - 00:12:12.61 23
transfer projection and
-
00:12:12.70 - 00:12:16.53 43
this would be for example a key here output
-
00:12:16.53 - 00:12:16.62 2
of
-
00:12:16.62 - 00:12:19.99 35
a similar analysis both bubble size
-
00:12:19.99 - 00:12:21.87 34
distribution bubble residence time
-
00:12:21.95 - 00:12:25.33 44
mass transfer between the gas and the liquid
-
00:12:25.33 - 00:12:26.00 9
and again
-
00:12:26.08 - 00:12:29.46 45
as we mentioned earlier shear rate prediction
-
00:12:29.46 - 00:12:33.00 45
The same can be said for solid liquid systems
-
00:12:33.00 - 00:12:33.31 3
and
-
00:12:33.39 - 00:12:36.94 44
imagine you have solid particles not gas now
-
00:12:36.94 - 00:12:37.49 7
so that
-
00:12:37.57 - 00:12:41.11 39
particles in a liquid matrix and you're
-
00:12:41.11 - 00:12:42.21 19
interested in again
-
00:12:42.21 - 00:12:45.75 44
scaling up or down the system but being able
-
00:12:45.75 - 00:12:45.91 2
to
-
00:12:45.99 - 00:12:49.53 41
properly predict the solid suspension and
-
00:12:49.53 - 00:12:51.03 22
cloud height for these
-
00:12:51.10 - 00:12:54.65 44
systems and these systems are very common in
-
00:12:54.65 - 00:12:56.14 19
dissolution systems
-
00:12:56.14 - 00:12:59.43 43
as well as crystal growth systems and there
-
00:12:59.43 - 00:13:00.60 21
the capabilities that
-
00:13:00.67 - 00:13:03.96 41
Ansys can provide there is in addition to
-
00:13:03.96 - 00:13:04.99 15
everything that
-
00:13:05.06 - 00:13:08.35 44
was mentioned earlier but also being able to
-
00:13:08.35 - 00:13:09.08 10
contain to
-
00:13:09.08 - 00:13:12.48 42
include multi species and particulate flow
-
00:13:12.48 - 00:13:14.44 27
in details potentially with
-
00:13:14.52 - 00:13:17.91 43
chemical reaction and with complex rheology
-
00:13:17.91 - 00:13:19.05 16
at the same time
-
00:13:19.05 - 00:13:22.15 36
and the main outputs that people are
-
00:13:22.15 - 00:13:22.83 18
interested in here
-
00:13:22.90 - 00:13:26.00 45
is being able to predict the dissolution mass
-
00:13:26.00 - 00:13:26.83 11
transfer as
-
00:13:26.90 - 00:13:30.00 44
well as dissolution rate prediction and also
-
00:13:30.00 - 00:13:31.24 18
potentially if you
-
00:13:31.24 - 00:13:34.67 37
have crystals the crystal growth rate
-
00:13:34.67 - 00:13:38.26 34
Mixing things can be quite complex
-
00:13:38.26 - 00:13:40.33 36
potentially with intermeshing blades
-
00:13:40.41 - 00:13:44.00 40
and potentially also with rather complex
-
00:13:44.00 - 00:13:45.68 25
motion and the objectives
-
00:13:45.76 - 00:13:49.35 44
there are very similar but usually there the
-
00:13:49.35 - 00:13:50.23 11
rheology is
-
00:13:50.23 - 00:13:53.82 35
typically more complex more viscous
-
00:13:53.82 - 00:13:55.81 21
potentially with more
-
00:13:55.89 - 00:13:59.48 39
complex impeller motion or blade motion
-
00:13:59.48 - 00:14:00.92 7
and the
-
00:14:01.00 - 00:14:04.59 41
Ansys capabilities required here would be
-
00:14:04.59 - 00:14:05.55 13
to be able to
-
00:14:05.55 - 00:14:08.75 35
actually model these Rather complex
-
00:14:08.75 - 00:14:10.31 30
intermeshing regions and there
-
00:14:10.39 - 00:14:13.59 42
are several approaches that Ansys provides
-
00:14:13.59 - 00:14:14.94 19
there be it overset
-
00:14:15.01 - 00:14:18.21 47
mesh method or be it sliding mesh or be it mesh
-
00:14:18.21 - 00:14:19.07 13
superposition
-
00:14:19.07 - 00:14:22.46 38
technique which again we will actually
-
00:14:22.46 - 00:14:24.04 27
mention in our presentation
-
00:14:24.11 - 00:14:27.36 43
in more details and here in terms of output
-
00:14:27.36 - 00:14:30.55 45
there are several things that are of interest
-
00:14:30.55 - 00:14:31.40 11
making sure
-
00:14:31.47 - 00:14:34.67 43
that the impeller motion is proper ensuring
-
00:14:34.67 - 00:14:35.88 18
or looking overall
-
00:14:35.95 - 00:14:39.14 30
visualizing the flow field and
-
00:14:39.14 - 00:14:40.56 25
identifying dead spots as
-
00:14:40.56 - 00:14:43.76 43
well as reporting distributive mixing being
-
00:14:43.76 - 00:14:45.53 26
able to properly calculate
-
00:14:45.60 - 00:14:48.80 41
the residence time distribution and blend
-
00:14:48.80 - 00:14:49.86 18
time shear rate is
-
00:14:49.93 - 00:14:53.13 38
always of importance because that will
-
00:14:53.13 - 00:14:55.05 33
directly impact dispersive mixing
-
00:14:55.05 - 00:14:58.29 44
which is essentially the process of breaking
-
00:14:58.29 - 00:14:59.59 18
up either droplets
-
00:14:59.67 - 00:15:02.92 43
or even solid particles into smaller either
-
00:15:02.92 - 00:15:04.36 21
droplets or particles
-
00:15:04.43 - 00:15:07.54 43
and again being able to do all that both in
-
00:15:07.54 - 00:15:11.05 39
a qualitative sense visually as well as
-
00:15:11.05 - 00:15:12.54 24
quantitative sense being
-
00:15:12.62 - 00:15:16.13 43
able to report exact for example share rate
-
00:15:16.13 - 00:15:16.99 12
histogram or
-
00:15:17.07 - 00:15:20.59 45
residence time histogram and things like that
-
00:15:20.59 - 00:15:24.85 41
And static mixers are also of interest so
-
00:15:24.85 - 00:15:25.23 7
here we
-
00:15:25.33 - 00:15:29.60 41
don't have any impellers per se but there
-
00:15:29.60 - 00:15:30.74 14
the challenges
-
00:15:30.83 - 00:15:35.10 45
are ensuring that the mixer is properly sized
-
00:15:35.10 - 00:15:35.86 7
to just
-
00:15:35.86 - 00:15:39.93 38
do enough mixing while not excessively
-
00:15:39.93 - 00:15:41.74 26
increasing for example the
-
00:15:41.83 - 00:15:45.90 41
pressure drop or increasing the amount of
-
00:15:45.90 - 00:15:47.26 18
viscous heating or
-
00:15:47.35 - 00:15:51.42 37
friction that the fluid or the liquid
-
00:15:51.42 - 00:15:53.59 31
experiences potentially causing
-
00:15:53.59 - 00:15:57.50 41
material degradation And usually in these
-
00:15:57.50 - 00:15:58.81 18
systems we do need
-
00:15:58.89 - 00:16:02.80 43
to have a complex rheology capability which
-
00:16:02.80 - 00:16:05.15 26
Ansys capabilities include
-
00:16:05.24 - 00:16:09.15 44
we definitely need to be able to handle very
-
00:16:09.15 - 00:16:09.76 7
complex
-
00:16:09.76 - 00:16:12.96 37
geometries for these mixers including
-
00:16:12.96 - 00:16:15.73 46
potentially parameterizing these geometries to
-
00:16:15.80 - 00:16:18.99 41
run what-if scenarios for different mixer
-
00:16:18.99 - 00:16:19.85 15
shapes or sizes
-
00:16:19.92 - 00:16:23.11 42
and our typical outputs is potentially the
-
00:16:23.11 - 00:16:24.82 26
concentration variation or
-
00:16:24.82 - 00:16:28.29 40
basically visualizing the mixing process
-
00:16:28.29 - 00:16:30.53 35
looking again things like residence
-
00:16:30.61 - 00:16:34.09 43
time and potentially even local temperature
-
00:16:34.09 - 00:16:36.09 27
distribution due to viscous
-
00:16:36.17 - 00:16:39.65 44
heating for example because of these systems
-
00:16:39.65 - 00:16:40.73 14
caused quite a
-
00:16:40.73 - 00:16:45.23 30
bit of shear rate through them
-
00:16:45.23 - 00:16:45.83 6
and as
-
00:16:45.93 - 00:16:50.43 41
we mentioned earlier pressure drop really
-
00:16:50.43 - 00:16:52.73 22
reflects the operating
-
00:16:52.73 - 00:16:56.93 42
cost that you actually have to incur while
-
00:16:56.93 - 00:16:57.77 11
pumping the
-
00:16:57.86 - 00:17:01.51 39
material through these mixing equipment
-
00:17:01.51 - 00:17:05.39 31
The other thing that also is of
-
00:17:05.39 - 00:17:05.56 8
interest
-
00:17:05.65 - 00:17:09.53 44
that it will be covered in this presentation
-
00:17:09.53 - 00:17:10.13 7
in more
-
00:17:10.22 - 00:17:14.10 45
details is the clean in place process and the
-
00:17:14.10 - 00:17:15.39 14
challenges are
-
00:17:15.39 - 00:17:19.12 41
being able to ensure that the cleaning is
-
00:17:19.12 - 00:17:20.03 14
sufficient and
-
00:17:20.11 - 00:17:23.84 37
consistent minimize the cleaning time
-
00:17:23.84 - 00:17:25.82 31
minimize the cleaning agent use
-
00:17:25.91 - 00:17:29.63 39
and also minimize the power consumption
-
00:17:29.63 - 00:17:31.45 27
during the cleaning process
-
00:17:31.45 - 00:17:34.11 36
and to be able to do that we need to
-
00:17:34.18 - 00:17:37.50 37
have Ansys provides actually multiple
-
00:17:37.50 - 00:17:38.69 19
capabilities be the
-
00:17:38.76 - 00:17:42.08 41
volume of fluid full multi phase model or
-
00:17:42.08 - 00:17:42.89 14
discrete phase
-
00:17:42.89 - 00:17:46.48 36
model as well as being able to model
-
00:17:46.48 - 00:17:47.12 16
potentially very
-
00:17:47.20 - 00:17:49.92 34
complex nozzle motion and rotation
-
00:17:49.92 - 00:17:53.76 39
And at the end being able to report the
-
00:17:53.85 - 00:17:57.87 40
how the jet is actually how the cleaning
-
00:17:57.87 - 00:17:58.23 3
jet
-
00:17:58.32 - 00:18:02.34 45
is actually forming what is the impact of the
-
00:18:02.34 - 00:18:02.69 3
jet
-
00:18:02.69 - 00:18:05.71 45
on the cleaning surface how long does it take
-
00:18:05.71 - 00:18:05.91 2
to
-
00:18:05.98 - 00:18:08.99 45
complete the entire cleaning process how much
-
00:18:08.99 - 00:18:10.00 14
liquid you are
-
00:18:10.06 - 00:18:13.08 44
consuming and potentially do what if studies
-
00:18:13.08 - 00:18:14.42 20
for different nozzle
-
00:18:14.42 - 00:18:15.97 7
designs
-
00:18:15.97 - 00:18:19.71 41
And then the last thing actually that the
-
00:18:19.71 - 00:18:21.05 19
mixing presentation
-
00:18:21.13 - 00:18:24.88 45
will actually talk about into more details is
-
00:18:24.88 - 00:18:25.79 10
being able
-
00:18:25.88 - 00:18:29.63 42
to democratize the mixing analysis through
-
00:18:29.63 - 00:18:31.04 19
the use of template
-
00:18:31.04 - 00:18:34.79 40
which is very powerful way to enable non
-
00:18:34.79 - 00:18:35.37 11
experts for
-
00:18:35.46 - 00:18:39.21 32
utilizing the full benefit of 3D
-
00:18:39.21 - 00:18:41.29 37
computational fluid dynamics analysis
-
00:18:41.37 - 00:18:45.12 41
so that's actually key and then the other
-
00:18:45.12 - 00:18:45.54 8
thing is
-
00:18:45.54 - 00:18:51.83 41
being able to convert 3D CFD results into
-
00:18:51.83 - 00:18:53.23 13
reduced order
-
00:18:53.37 - 00:18:55.89 18
models that can be
-
00:18:55.89 - 00:18:59.07 42
used in real time potentially for operator
-
00:18:59.07 - 00:19:00.06 16
training as well
-
00:19:00.14 - 00:19:03.32 42
as digital commissioning and again this is
-
00:19:03.32 - 00:19:04.81 23
actually something that
-
00:19:04.88 - 00:19:08.07 44
would be very nicely highlighted during this
-
00:19:08.07 - 00:19:09.41 19
presentation OK now
-
00:19:09.41 - 00:19:12.61 45
this is actually just a quick overview on the
-
00:19:12.61 - 00:19:13.10 6
mixing
-
00:19:13.17 - 00:19:16.36 42
side so let me quickly switch gears to the
-
00:19:16.36 - 00:19:16.51 4
heat
-
00:19:16.58 - 00:19:19.77 45
exchangers very quickly and what I'm going to
-
00:19:19.77 - 00:19:20.34 7
do here
-
00:19:20.34 - 00:19:23.96 44
is the heat exchanger presentation discusses
-
00:19:23.96 - 00:19:25.97 25
some very interesting key
-
00:19:26.05 - 00:19:29.67 45
studies about optimization in general and how
-
00:19:29.67 - 00:19:30.87 14
to ensure flow
-
00:19:30.95 - 00:19:34.57 45
uniformity through feeding manifold over heat
-
00:19:34.57 - 00:19:35.38 9
exchanger
-
00:19:35.38 - 00:19:39.84 45
optimization as well for specific geometrical
-
00:19:39.84 - 00:19:42.32 24
details inside the cubes
-
00:19:42.42 - 00:19:46.88 41
for example or to really enhance the heat
-
00:19:46.88 - 00:19:47.97 14
transfer while
-
00:19:48.07 - 00:19:52.54 39
reducing the pressure drop and then the
-
00:19:52.54 - 00:19:54.03 20
concept of conjugate
-
00:19:54.03 - 00:19:57.29 45
heat transfer in general this is actually key
-
00:19:57.29 - 00:19:58.45 15
requirements to
-
00:19:58.52 - 00:20:01.79 37
be able to model conduct transfer in
-
00:20:01.79 - 00:20:02.44 14
accurately for
-
00:20:02.51 - 00:20:05.77 34
the design and troubleshooting and
-
00:20:05.77 - 00:20:07.30 31
optimization of heat exchangers
-
00:20:07.30 - 00:20:10.45 45
Potentially some of these heat exchangers may
-
00:20:10.45 - 00:20:12.35 26
experience fatigue thermal
-
00:20:12.42 - 00:20:15.58 34
fatigue to be specific if they are
-
00:20:15.58 - 00:20:16.63 25
continuously subjected to
-
00:20:16.70 - 00:20:19.86 40
both cold and hot cycles so that there's
-
00:20:19.86 - 00:20:20.50 13
actually some
-
00:20:20.50 - 00:20:23.66 37
nice key studies over there many heat
-
00:20:23.66 - 00:20:25.06 27
exchangers are experiencing
-
00:20:25.13 - 00:20:28.30 42
multi phase flow or phase change and being
-
00:20:28.30 - 00:20:28.58 7
able to
-
00:20:28.65 - 00:20:31.81 44
do that be it boiling or condensation may be
-
00:20:31.81 - 00:20:31.95 2
of
-
00:20:31.95 - 00:20:35.62 41
interest depending on the application and
-
00:20:35.62 - 00:20:36.60 15
then just as we
-
00:20:36.68 - 00:20:40.34 45
did for the mixing analysis always looking at
-
00:20:40.34 - 00:20:41.40 12
bridging the
-
00:20:41.49 - 00:20:45.15 45
gap between 3D component level simulation and
-
00:20:45.15 - 00:20:46.46 15
0D system level
-
00:20:46.46 - 00:20:49.82 44
simulation is always of interest how can you
-
00:20:49.82 - 00:20:51.01 16
convert detailed
-
00:20:51.08 - 00:20:54.44 44
3D CFD simulation into a reduced order model
-
00:20:54.44 - 00:20:55.04 8
that can
-
00:20:55.11 - 00:20:58.47 45
be easily consumed either on its own or as an
-
00:20:58.47 - 00:21:01.83 44
integral part of a system so for example for
-
00:21:01.83 - 00:21:02.35 7
example
-
00:21:02.43 - 00:21:05.79 42
just again I'm not going to go through all
-
00:21:05.79 - 00:21:05.86 3
the
-
00:21:05.94 - 00:21:09.29 45
breakout topics here for the interest of time
-
00:21:09.29 - 00:21:09.97 8
but just
-
00:21:09.97 - 00:21:12.53 37
to give you an idea So here this is a
-
00:21:12.60 - 00:21:15.71 41
nice case study which will be highlighted
-
00:21:15.71 - 00:21:16.27 11
later on in
-
00:21:16.34 - 00:21:19.45 38
terms of optimal shape optimization in
-
00:21:19.45 - 00:21:20.84 26
general and actually there
-
00:21:20.84 - 00:21:23.94 45
are several ways to optimize the shape so for
-
00:21:23.94 - 00:21:24.49 7
example
-
00:21:24.56 - 00:21:27.67 43
here this is a manifold and optimization if
-
00:21:27.67 - 00:21:28.22 9
you think
-
00:21:28.29 - 00:21:31.39 35
about it can either be CAD based or
-
00:21:31.39 - 00:21:31.88 16
parametric based
-
00:21:31.88 - 00:21:34.96 44
or freeform where you can actually morph the
-
00:21:34.96 - 00:21:35.72 12
geometry and
-
00:21:35.78 - 00:21:38.87 45
this is actually what was implemented here so
-
00:21:38.87 - 00:21:39.42 3
the
-
00:21:39.49 - 00:21:42.57 45
fluent adjoint solver in this particular case
-
00:21:42.57 - 00:21:43.81 17
was actually used
-
00:21:43.81 - 00:21:48.67 36
to morph the geometry to ensure flow
-
00:21:48.67 - 00:21:49.65 18
uniformity that is
-
00:21:49.75 - 00:21:54.62 43
feeding on the pipes as well as proper heat
-
00:21:54.62 - 00:21:55.38 8
transfer
-
00:21:55.49 - 00:21:59.71 39
OK and so that is one thing and this is
-
00:21:59.71 - 00:22:03.21 42
just another again optimization case where
-
00:22:03.21 - 00:22:05.23 28
individual pipes were looked
-
00:22:05.31 - 00:22:08.82 39
at in these helical geometries or these
-
00:22:08.82 - 00:22:09.91 19
helical imprints or
-
00:22:09.98 - 00:22:13.49 44
helical features on the pipe itself can also
-
00:22:13.49 - 00:22:14.42 12
be optimized
-
00:22:14.42 - 00:22:18.38 42
to enhance the heat transfer while keeping
-
00:22:18.38 - 00:22:19.69 17
the pressure drop
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00:22:19.78 - 00:22:20.49 8
in check
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00:22:20.49 - 00:22:25.14 40
Switching gears to the environmental and
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00:22:25.14 - 00:22:28.45 36
pollution control presentation again
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00:22:28.55 - 00:22:33.21 43
I'm going to highlight the key aspects here
-
00:22:33.21 - 00:22:34.03 9
which are
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00:22:34.14 - 00:22:37.14 29
tuning the combustion process
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00:22:37.14 - 00:22:41.35 43
emission reduction technologies exhaust gas
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00:22:41.35 - 00:22:43.69 26
quality control as well as
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00:22:43.79 - 00:22:45.76 21
water quality control
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00:22:45.76 - 00:22:49.44 45
And just to give you an idea for example when
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00:22:49.52 - 00:22:53.21 40
looking at tuning the combustion process
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00:22:53.21 - 00:22:55.83 36
these equipment involving combustion
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00:22:55.91 - 00:22:59.60 43
are quite complex and the interest there is
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00:22:59.60 - 00:23:00.25 9
always to
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00:23:00.25 - 00:23:03.86 43
keep the NOx and CO under control and as we
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00:23:03.94 - 00:23:07.63 41
all know these two NOx and CO are usually
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00:23:07.63 - 00:23:08.94 24
contradicting each other
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00:23:09.02 - 00:23:12.71 40
if you control one of them the other one
-
00:23:12.71 - 00:23:13.12 9
increases
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00:23:13.12 - 00:23:16.44 43
so there is always this interesting balance
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00:23:16.44 - 00:23:17.48 15
between the two
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00:23:17.55 - 00:23:20.65 42
And also how to be able to ensure that the
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00:23:20.73 - 00:23:24.05 40
equipment is operational and without any
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00:23:24.05 - 00:23:25.83 28
major maintenance issues and
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00:23:25.83 - 00:23:28.96 40
now the Ansys capabilities in combustion
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00:23:28.96 - 00:23:30.08 18
has been there for
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00:23:30.15 - 00:23:33.28 38
actually decades so there are complete
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00:23:33.28 - 00:23:35.09 32
solutions for furnaces reformers
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00:23:35.16 - 00:23:38.30 45
boilers and gas turbans there is a wide suite
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00:23:38.30 - 00:23:38.51 2
of
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00:23:38.51 - 00:23:41.61 40
combustion models that are out there for
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00:23:41.61 - 00:23:43.20 27
different configurations as
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00:23:43.27 - 00:23:46.37 42
well as wide suite of pollutant models for
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00:23:46.37 - 00:23:47.06 7
NOx SOx
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00:23:47.13 - 00:23:49.68 37
as well as soot OK and now as you can
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00:23:49.68 - 00:23:52.72 41
imagine simulation benefits is it ensures
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00:23:52.72 - 00:23:53.93 21
that you are adhering
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00:23:54.00 - 00:23:57.04 44
to regulations in terms of working emissions
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00:23:57.04 - 00:23:57.98 14
for example it
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00:23:58.05 - 00:24:01.09 37
gives you insights as well as you can
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00:24:01.09 - 00:24:01.36 11
actually do
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00:24:01.36 - 00:24:04.39 39
different what-if scenarios in terms of
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00:24:04.39 - 00:24:05.61 23
multiple burner designs
-
00:24:05.68 - 00:24:08.71 38
and even changing the fuel or even the
-
00:24:08.71 - 00:24:09.66 20
operating conditions
-
00:24:09.73 - 00:24:12.76 42
in terms of air fuel ratio and things like
-
00:24:12.76 - 00:24:12.90 4
that
-
00:24:12.90 - 00:24:16.72 45
and do all these testings in a very efficient
-
00:24:16.72 - 00:24:17.06 3
way
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00:24:17.06 - 00:24:20.52 37
Then if I may switch gears to my last
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00:24:20.52 - 00:24:20.91 12
presentation
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00:24:20.99 - 00:24:24.38 44
which is on gas liquid equipment if I may go
-
00:24:24.46 - 00:24:27.92 43
quickly so this presentation actually deals
-
00:24:27.92 - 00:24:29.62 23
with things like bubble
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00:24:29.62 - 00:24:33.09 45
columns spray towers cyclone separators plate
-
00:24:33.09 - 00:24:36.17 39
distillation column packed distillation
-
00:24:36.24 - 00:24:39.71 44
column and trickle bed reactors and again as
-
00:24:39.71 - 00:24:40.25 7
you can
-
00:24:40.32 - 00:24:43.79 42
imagine there is quite a bit of details in
-
00:24:43.79 - 00:24:43.94 4
each
-
00:24:43.94 - 00:24:47.61 41
of them but just to highlight for example
-
00:24:47.61 - 00:24:47.93 7
when we
-
00:24:48.01 - 00:24:50.62 32
are talking about bubble columns
-
00:24:50.62 - 00:24:53.95 40
The idea here is these columns are quite
-
00:24:53.95 - 00:24:55.06 19
complicated because
-
00:24:55.13 - 00:24:58.47 35
there is quite a bit of flow regime
-
00:24:58.47 - 00:24:58.76 13
transition in
-
00:24:58.84 - 00:25:02.17 43
them it's not just a single flow regime and
-
00:25:02.17 - 00:25:02.32 3
the
-
00:25:02.32 - 00:25:05.65 44
challenge there is to be able to predict the
-
00:25:05.65 - 00:25:06.10 6
bubble
-
00:25:06.17 - 00:25:09.50 45
size distribution due to both coalescence and
-
00:25:09.50 - 00:25:10.61 16
break up because
-
00:25:10.69 - 00:25:13.95 44
why do we need that we need that because the
-
00:25:13.95 - 00:25:16.90 39
bubble size distributions will directly
-
00:25:16.90 - 00:25:18.48 29
impact both mass transfer and
-
00:25:18.54 - 00:25:21.50 42
chemical reactions in these bubble columns
-
00:25:21.50 - 00:25:23.20 28
and potentially these bubble
-
00:25:23.27 - 00:25:26.22 45
columns are not just straight pipes there may
-
00:25:26.22 - 00:25:26.75 7
be some
-
00:25:26.75 - 00:25:29.36 32
internal distributors as well as
-
00:25:29.36 - 00:25:30.46 22
internals that need to
-
00:25:30.52 - 00:25:33.13 38
be both simulated and potentially even
-
00:25:33.13 - 00:25:34.23 25
optimized to ensure again
-
00:25:34.29 - 00:25:36.90 39
the proper bubble size distribution and
-
00:25:36.90 - 00:25:37.95 19
operation that will
-
00:25:37.95 - 00:25:41.24 37
directly impact the mass transfer and
-
00:25:41.24 - 00:25:41.97 17
chemical reaction
-
00:25:41.97 - 00:25:45.47 38
And again you know very commonly these
-
00:25:45.47 - 00:25:46.64 21
problems also involve
-
00:25:46.72 - 00:25:50.23 33
scale up so the in terms of Ansys
-
00:25:50.23 - 00:25:51.01 18
capabilities Ansys
-
00:25:51.08 - 00:25:54.59 39
has the full suite of multiphase models
-
00:25:54.59 - 00:25:55.84 20
including the latest
-
00:25:55.84 - 00:25:59.24 34
and greatest addition to the Ansys
-
00:25:59.24 - 00:26:00.52 25
multiphase suite which is
-
00:26:00.60 - 00:26:04.00 44
the algebraic interfacial area density model
-
00:26:04.00 - 00:26:05.21 16
it has been it's
-
00:26:05.29 - 00:26:08.69 40
one of our newest multiphase model which
-
00:26:08.69 - 00:26:10.28 27
actually extremely powerful
-
00:26:10.28 - 00:26:13.46 45
for regime change or multiple regime modeling
-
00:26:13.46 - 00:26:14.17 3
and
-
00:26:14.24 - 00:26:17.08 31
as we all know Ansys has a very
-
00:26:17.15 - 00:26:20.34 33
wide suite of turbulence modeling
-
00:26:20.34 - 00:26:21.61 29
capabilities now as an output
-
00:26:21.61 - 00:26:24.38 39
of this here of this of such a model we
-
00:26:24.45 - 00:26:27.64 34
can easily predict the bubble size
-
00:26:27.64 - 00:26:29.12 32
distribution and rising velocity
-
00:26:29.20 - 00:26:32.38 45
predict the mass transfer rate as well as the
-
00:26:32.38 - 00:26:33.02 8
reaction
-
00:26:33.02 - 00:26:35.88 33
rate between the different phases
-
00:26:35.88 - 00:26:38.85 36
and optimize internal geometries and
-
00:26:38.85 - 00:26:40.37 31
distributors now the last thing
-
00:26:40.44 - 00:26:43.41 36
that I want to actually mention very
-
00:26:43.41 - 00:26:43.94 16
important in all
-
00:26:44.01 - 00:26:46.99 45
of these presentations and I'll just use this
-
00:26:46.99 - 00:26:48.18 17
presentation here
-
00:26:48.18 - 00:26:51.15 44
as an example very quickly is that all these
-
00:26:51.15 - 00:26:52.01 13
presentations
-
00:26:52.08 - 00:26:55.05 39
have this very powerful section which I
-
00:26:55.05 - 00:26:56.24 23
strongly recommend that
-
00:26:56.31 - 00:26:59.29 44
you spend some time on each presentation has
-
00:26:59.29 - 00:27:00.61 20
additional resources
-
00:27:00.61 - 00:27:03.56 43
page where we listed things like additional
-
00:27:03.56 - 00:27:04.74 19
technical papers on
-
00:27:04.80 - 00:27:07.75 44
that specific topic in this case I'm showing
-
00:27:07.75 - 00:27:08.27 8
that for
-
00:27:08.34 - 00:27:11.29 41
mixing I'm also highlighting each section
-
00:27:11.29 - 00:27:13.32 34
each presentation will potentially
-
00:27:13.32 - 00:27:16.18 44
have an application briefs section and these
-
00:27:16.18 - 00:27:17.01 13
are all links
-
00:27:17.07 - 00:27:19.93 43
that you can actually click and review some
-
00:27:19.93 - 00:27:21.07 19
additional customer
-
00:27:21.14 - 00:27:24.00 44
stories that are also available and publicly
-
00:27:24.00 - 00:27:25.08 17
available for you
-
00:27:25.08 - 00:27:27.87 44
you can actually take a look at them and see
-
00:27:27.94 - 00:27:30.80 43
what other customers have done and actually
-
00:27:30.80 - 00:27:31.88 18
these two sections
-
00:27:31.94 - 00:27:34.81 41
here are my favorite parts for people who
-
00:27:34.81 - 00:27:35.06 7
want to
-
00:27:35.06 - 00:27:38.03 44
get their hands dirty and actually look into
-
00:27:38.03 - 00:27:38.69 10
how things
-
00:27:38.76 - 00:27:41.73 41
are actually modeled So there is a tab at
-
00:27:41.73 - 00:27:41.80 4
tips
-
00:27:41.86 - 00:27:44.83 43
and tricks section that highlights you know
-
00:27:44.83 - 00:27:45.62 13
some tips and
-
00:27:45.62 - 00:27:48.73 42
tricks for for example here this is a nice
-
00:27:48.73 - 00:27:49.07 7
YouTube
-
00:27:49.14 - 00:27:52.25 44
video on modeling mixing tanks it's public I
-
00:27:52.25 - 00:27:53.35 16
encourage people
-
00:27:53.42 - 00:27:56.52 43
who are interested in the topic to actually
-
00:27:56.52 - 00:27:56.87 6
take a
-
00:27:56.87 - 00:27:59.49 38
look at it as well as always I want to
-
00:27:59.56 - 00:28:02.67 41
make sure that people are aware about the
-
00:28:02.67 - 00:28:03.57 14
Ansys Learning
-
00:28:03.64 - 00:28:06.67 44
Hub and so for example again it goes back to
-
00:28:06.67 - 00:28:10.35 44
mixing we just have added a separate area on
-
00:28:10.35 - 00:28:10.59 3
the
-
00:28:10.68 - 00:28:14.35 45
learning hub which is only focusing on mixing
-
00:28:14.35 - 00:28:15.09 8
and this
-
00:28:15.17 - 00:28:18.84 44
area here will be continuously populated and
-
00:28:18.84 - 00:28:20.89 25
and continuously supplied
-
00:28:20.89 - 00:28:24.12 43
with new materials so I encourage people to
-
00:28:24.12 - 00:28:24.91 12
register for
-
00:28:24.98 - 00:28:26.57 22
the ansys learning hub
-
00:28:26.57 - 00:28:29.70 40
and for example if you are interested in
-
00:28:29.70 - 00:28:30.19 11
mixing make
-
00:28:30.26 - 00:28:33.40 41
sure that you are aware and that you have
-
00:28:33.40 - 00:28:33.60 6
access
-
00:28:33.67 - 00:28:36.81 41
that you can access this area here and as
-
00:28:36.81 - 00:28:36.88 4
well
-
00:28:36.88 - 00:28:40.11 41
as usually there are the typical standard
-
00:28:40.11 - 00:28:41.12 17
courses about for
-
00:28:41.19 - 00:28:44.42 45
example intro to fluent multiphase as well as
-
00:28:44.42 - 00:28:45.79 18
mechanical courses
-
00:28:45.86 - 00:28:49.09 43
as well again for mixing so again this page
-
00:28:49.09 - 00:28:49.45 6
exists
-
00:28:49.45 - 00:28:52.73 42
for all the different aspects for chemical
-
00:28:52.73 - 00:28:54.04 20
and process industry
-
00:28:54.11 - 00:28:57.39 42
and again as always please remember if you
-
00:28:57.39 - 00:28:57.83 8
have any
-
00:28:57.90 - 00:29:01.18 44
questions feel free to reach out to us using
-
00:29:01.18 - 00:29:01.47 4
this
-
00:29:01.47 - 00:29:04.74 42
contact us button because again there is a
-
00:29:04.74 - 00:29:05.03 6
lot of
-
00:29:05.11 - 00:29:08.38 43
information here and for the limited amount
-
00:29:08.38 - 00:29:09.18 12
of time that
-
00:29:09.25 - 00:29:12.23 41
we have there is no way that we can cover
-
00:29:12.23 - 00:29:15.55 43
everything but please do feel free to reach
-
00:29:15.55 - 00:29:15.92 6
out to
-
00:29:15.99 - 00:29:19.31 44
us with any detailed questions thank you and
-
00:29:19.31 - 00:29:19.90 8
have fun
-
00:29:19.97 - 00:29:21.23 17
in our conference