基于CFD的热扩散柱模拟模型的开发与优化:在惰性气体分离中的应用

IF 1 Q4 ENGINEERING, CHEMICAL Chemical Product and Process Modeling Pub Date : 2021-11-19 DOI:10.1515/cppm-2021-0049
Hamed Eghbalahmadi, P. Khadiv-Parsi, S. M. Mousavian, M. H. Eghbal Ahmadi
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引用次数: 0

摘要

摘要在本研究中,对热扩散柱分离氦-氩气混合物进行了数值模拟。本研究确定了重要参数及其对工艺性能的影响。通过对热扩散柱的模拟,研究了在950mm高、内管半径为9.5mm的柱中进料流速、切割比和热丝温度的影响。为了最大限度地减少模拟次数并获得最佳操作条件,使用了响应面方法(RSM)。对作为氦氩分离目标函数的分离功单元(SWU)值的分析清楚地表明,当热线温度在技术上尽可能大地增加时,热扩散柱中的SWU达到了最大量,进料速率和切割比分别等于55标准立方厘米/分钟(SCCM)和0.44。最后,将最佳条件下的SWU值与实验数据进行了比较。结果表明,实验数据与模拟数据吻合良好,准确率约为90%。
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Development of a CFD-based simulation model and optimization of thermal diffusion column: application on noble gas separation
Abstract In this study, numerical simulations were carried out to investigate the separation of the helium-argon gas mixture by thermal diffusion column. This research determined the significant parameters and their effects on the process performance. Effects of feed flow rate, cut ratio, and hot wire temperature in a 950 mm height column with an inner tube of 9.5 mm radius were examined through the simulation of the thermal diffusion column. For minimizing the number of simulations and obtaining the optimum operating conditions, response surface methodology (RSM) was used. Analysis of separative work unit (SWU) values as a target function for helium-argon separation clearly showed that the maximum amount of SWU in thermal diffusion column was achieved, when hot wire temperature increased as large as technically possible, and the feed rate and cut ratio were equal to 55 Standard Cubic Centimeters per Minute (SCCM) and 0.44, respectively. Finally, the SWU value in optimum conditions was compared with the experimental data. Results illustrated that the experimental data were in good agreement with simulation data with an accuracy of about 90%.
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来源期刊
Chemical Product and Process Modeling
Chemical Product and Process Modeling ENGINEERING, CHEMICAL-
CiteScore
2.10
自引率
11.10%
发文量
27
期刊介绍: Chemical Product and Process Modeling (CPPM) is a quarterly journal that publishes theoretical and applied research on product and process design modeling, simulation and optimization. Thanks to its international editorial board, the journal assembles the best papers from around the world on to cover the gap between product and process. The journal brings together chemical and process engineering researchers, practitioners, and software developers in a new forum for the international modeling and simulation community. Topics: equation oriented and modular simulation optimization technology for process and materials design, new modeling techniques shortcut modeling and design approaches performance of commercial and in-house simulation and optimization tools challenges faced in industrial product and process simulation and optimization computational fluid dynamics environmental process, food and pharmaceutical modeling topics drawn from the substantial areas of overlap between modeling and mathematics applied to chemical products and processes.
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