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Using advanced flow visualization techniques and computational fluid dynamics to characterize and optimize the mixing of micron-sized polymeric particles in slurry reactors

Using advanced flow visualization techniques and computational fluid dynamics to characterize and optimize the mixing of micron-sized polymeric particles in slurry reactors
使用先进的流动可视化技术和计算流体动力学来表征和优化浆料反应器中微米级聚合物颗粒的混合
批准号:
397646-2010
负责人:
EinMozaffari, Farhad
金额:
$1.75万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

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中文摘要
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英文摘要
Solid-liquid mixing plays a crucial role in many processes such as solid-catalyzed reaction, suspension polymerization, dispersion of solids, dissolution and leaching, crystallization and precipitation, adsorption, desorption, and ion exchange. In the proposed research project, we will collaborate with Xerox Research Centre of Canada (XRCC) to characterize and optimize the mixing of polymeric particles in slurry reactors. We will employ extensive experimentation, advanced flow visualization techniques, and Computational Fluid Dynamics (CFD) in order to gain deeper insights into the mixing of solid suspension. The experiments will help examine the effects of mixing parameters and operating conditions on the degree of homogeneity and solid concentration profiles within the reactor. CFD will assist in the mathematical rendering and computer simulation of the process. The model thus developed will be validated and deployed using advanced optimal control techniques to determine the optimal operating conditions and design parameters for the solid-liquid mixing process. This investigation will also provide us with valuable information regarding the system dynamics, which is of special importance in commercial applications. The findings of this study may lead to capital cost savings, chemical cost reduction, improved equipment design, enhanced quality of products, and more efficient use of power. Two HQP will receive advanced training in the area of computational fluid dynamics, advanced flow visualization, process development, and optimization. They will get more thoroughly equipped to contribute to industry and academia at large. The proposed collaborative research with XRCC will not only contribute to the increased economic activity of the Canadian chemical industry but will positively impact our society, quality of life, health and environment.
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