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固定床反应器轴向扩散特性的计算流体动力学建模与模拟

CFD Modeling and Simulation of the Axial Dispersion Characteristics of a Fixed-Bed Reactor.

作者信息

Peng Jian, Yu Bin, Yan Shaowei, Xie Le

机构信息

School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, Hunan, China.

Hunan Yujia Cosmetics Manufacturing Co., Ltd., Changsha 410205, Hunan, China.

出版信息

ACS Omega. 2022 Jul 21;7(30):26455-26464. doi: 10.1021/acsomega.2c02417. eCollection 2022 Aug 2.

DOI:10.1021/acsomega.2c02417
PMID:35936427
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9352324/
Abstract

In this study, the axial dispersion characteristics of a fixed-bed reactor with different packed structures were investigated via computational fluid dynamics (CFD) simulation. The discrete element method was employed to develop the physical model of a fixed bed. Then, CFD simulations were performed to investigate the flow resistance coefficient under different Reynolds numbers. The prediction values were in fair agreement with those calculated by the Carman equation, thereby validating the proposed CFD model. The tracer pulse method and the step method were employed to evaluate the residence time distribution characteristics in the fixed-bed reactors where the mean residence time and axial dispersion coefficient were calculated. The distribution characteristics of the tracer concentration and fluid velocity were also obtained and used to explain the mixing performance of the fixed bed. This simulation study can contribute to the optimization design and scaling up of reactors with porous packed structures.

摘要

在本研究中，通过计算流体动力学（CFD）模拟研究了具有不同填充结构的固定床反应器的轴向扩散特性。采用离散单元法建立固定床的物理模型。然后，进行CFD模拟以研究不同雷诺数下的流动阻力系数。预测值与通过卡曼方程计算的值相当吻合，从而验证了所提出的CFD模型。采用示踪剂脉冲法和阶跃法评估固定床反应器中的停留时间分布特性，计算平均停留时间和轴向扩散系数。还获得了示踪剂浓度和流体速度的分布特性，并用于解释固定床的混合性能。该模拟研究有助于具有多孔填充结构的反应器的优化设计和放大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/317b419051b6/ao2c02417_0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/afd26c884fe5/ao2c02417_0002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/387a24c2a014/ao2c02417_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/eead102c47d3/ao2c02417_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/317b419051b6/ao2c02417_0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/afd26c884fe5/ao2c02417_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/c9129b5a3730/ao2c02417_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/dac2729d0fc3/ao2c02417_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/650f3f659df6/ao2c02417_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/5ebf1ac318e1/ao2c02417_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/642f333e445a/ao2c02417_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/ad2a4a949500/ao2c02417_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/387a24c2a014/ao2c02417_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/eead102c47d3/ao2c02417_0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecc1/9352324/317b419051b6/ao2c02417_0011.jpg

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本文引用的文献

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Rigid Body Dynamics Algorithm for Modeling Random Packing Structures of Nonspherical and Nonconvex Pellets.用于模拟非球形和非凸颗粒随机堆积结构的刚体动力学算法
Ind Eng Chem Res. 2018 Nov 7;57(44):14988-15007. doi: 10.1021/acs.iecr.8b03915. Epub 2018 Oct 11.