应用热重塔对N2-CO2和He-Ar混合气体分离的计算流体力学研究

IF 1 Q4 ENGINEERING, CHEMICAL

Chemical Product and Process Modeling Pub Date : 2021-10-11 DOI:10.1515/cppm-2021-0036

Hesam Salimi, Neda Hashemipour, J. Karimi-Sabet, Younes Amini

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引用次数: 4

摘要

为了对热重柱分离气体混合物的过程有更深入的了解，本文进行了三维稳态数值模拟。为了确定最佳工艺条件和考察工艺的局限性，对热重塔的行为进行了深入的分析。首先，通过Youssef等人的实验结果对模拟模型进行验证，然后针对先导柱开发模型。选用氦-氩混合料作为进料成分。结果表明，两柱分离系数随压力的变化几乎相同。验证了最佳条件为p=0.2 atm， θ =0.4,m°=4 SCCM $p=0.2\text{atm}，\theta =0.4,m{}^{\circ}=4\hspace{0.17em}\text{SCCM}$。

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Appling the computational fluid dynamics studies of the thermogravitational column for N2-CO2 and He-Ar gas mixtures separation

Abstract In the present work, three-Dimensional stationary numerical simulations were accomplished for a deeper understanding of the gas mixtures separation by the thermogravitational column. To address the optimum condition and examine the limitation of the process, the thermogravitational column behavior has been thoroughly analyzed. First, the simulation model was validated by the experimental results of Youssef et al. then the model was developed for the pilot column. The mixture of helium-argon was chosen as feed composition. It was concluded that the variation of the separation factor in relation to pressure for both columns was almost the same. The optimum condition verified as p = 0.2 atm , θ = 0.4 , m ° = 4 SCCM $p=0.2\text{atm},\theta =0.4,m{}^{\circ}=4\hspace{0.17em}\text{SCCM}$ .

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来源期刊

Chemical Product and Process Modeling ENGINEERING, CHEMICAL-

CiteScore

2.10

自引率

11.10%

发文量

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.