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 micro-packed 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.

加氢米-dinitrobenzene到米苯二胺是在精细化工染料和颜料的合成显著的转变。由于该反应机理，并在所述第二硝基的还原该第一氨基的负面影响的复杂性，所以难以抑制突出地副产物的生成和得到米高效苯二胺。因此，建立动力学网络并研究该反应的内在动力学参数以进一步优化势在必行。本研究开发了基于微型填充床反应器的连续流动系统，并建立了m的加氢动力学模型。-二硝基苯建立成功。使用动力学网络获得活化能和指前因子，动力学模型对每种物质的转化表现出合理的拟合。此外，研究了压力的影响，并通过与文献值的比较验证了动力学模型的准确性。该动力学模型能够准确确定Pt/C和Ni/SiO ₂催化剂的动力学参数，并为工艺优化提供不同催化剂的速率确定步骤和特性。