Hydrogenation kinetics of m-dinitrobenzene in a continuous micro-packed bed reactor

被引：24

作者：

Duan, Xiaonan ^{[1
]}

Yin, Jiabin ^{[1
]}

Huang, Mengmeng ^{[1
]}

Feng, Aoxing ^{[1
]}

Fu, Weisong ^{[2
]}

Chen, Huaxiang ^{[2
]}

Huang, Zhenfu ^{[2
]}

Ding, Yagang ^{[2
]}

Zhang, Jisong ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Chem Engn, State Key Lab Chem Engn, Beijing 100084, Peoples R China

[2] Zhejiang Dibang Chem Co Ltd, Shaoxing 312369, Zhejiang, Peoples R China

来源：

CHEMICAL ENGINEERING SCIENCE | 2022年 / 248卷

基金：

中国国家自然科学基金;

关键词：

Micro-packed bed reactor; m-dinitrobenzene; Kinetic network; Hydrogenation; CHEMOSELECTIVE HYDROGENATION; PHASE HYDROGENATION; PLATINUM CATALYSTS; MASS-TRANSFER; SUPPORT; 3-NITROSTYRENE; NANOPARTICLES; REDUCTION; DESIGN; NI;

D O I：

10.1016/j.ces.2021.117113

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The hydrogenation of m-dinitrobenzene to m-phenylenediamine is a significant transformation for the synthesis of dyes and pigments in the fine chemical industry. Owing to the complexity of this reaction mechanism and negative effect of the first amino group on the reduction of the second nitro group, it is difficult to inhibit eminently the generation of side products and obtain m-phenylenediamine efficiently. Hence it is imperative to establish kinetic network and investigate the intrinsic kinetic parameters of this reaction for further optimization. In this study, a continuous flow system based on micropacked bed reactor was developed and a kinetic model of the hydrogenation of m-dinitrobenzene was established successfully. The activation energies and pre-exponential factors were acquired using the kinetic network and the kinetic model exhibited reasonable fit for the transformation of each substance. Moreover, the influence of pressure was investigated, and the accuracy of kinetic model was validated by the comparison with the values in literature. This kinetic model enabled the accurate determination of kinetic parameters with Pt/C and Ni/SiO2 catalysts, and provided the rate determining steps and characteristics of different catalysts for the process optimization. (C) 2021 Elsevier Ltd. All rights reserved.

引用

页数：10

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