基于RBF 神经网络模型的乙醇偶合制备C4烯烃的工艺条件分析

doi:10.16389/j.cnki.cn42-1737/n.2022.03.004

江汉大学学报（自然科学版） ›› 2022, Vol. 50 ›› Issue (3): 29-35.doi: 10.16389/j.cnki.cn42-1737/n.2022.03.004

基于RBF 神经网络模型的乙醇偶合制备C₄烯烃的工艺条件分析

吴文俊，张智恒，李星辰，胡晓莉^*

江汉大学人工智能学院，湖北武汉 430056

发布日期:2022-06-24
通讯作者: 胡晓莉
作者简介:吴文俊（2001— ），男，研究方向：数学建模。
基金资助:
国家自然科学基金资助项目（11501251）；湖北省自然科学面上基金资助项目（2020CFB538）

Analysis of Process Conditions for the Preparation of C₄ Olefins by Ethanol Coupling Based on RBF Neural Network Model

WU Wenjun，ZHANG Zhiheng，LI Xingchen，HU Xiaoli^*

School of Artificial Intelligence，Jianghan University，Wuhan 430056，Hubei，China

Published:2022-06-24
Contact: HU Xiaoli

摘要/Abstract

摘要： C₄烯烃作为一种常见的化学材料，被广泛用于生产医药化学品和中间体。在制备C₄烯烃的过程中，催化剂组合和温度会影响C₄烯烃的选择性和产量。因此，探索制备乙醇偶合C₄烯烃的工艺条件具有其重要意义和价值。在这项工作中，根据2021年全国大学生数学建模竞赛问题B中提供的不同催化剂组合和温度的实验基准数据，建立RBF神经网络模型，研究催化剂组合成分和温度对乙醇转化和C₄烯烃选择性的影响程度。结果显示，温度对C₄烯烃选择性具有强相关性，Co/SiO₂和HAP质量对C₄烯烃选择性的影响基本相同，Co负载对C₄烯烃选择性的影响比乙醇转化率略大，而乙醇进料在C₄烯烃选择性与乙醇转化率之间的关联性较弱。

关键词: 催化剂组合与温度, 乙醇转化率, C₄烯烃选择性, RBF神经网络

Abstract: C₄ olefins are widely used as a common chemical material to produce pharmaceutical chemicals and intermediates. In the preparation process of C₄ olefins， the catalyst combination and temperature affect the selectivity and yield of C₄ olefins. Hence，exploring the process conditions for preparing ethanol-coupled C₄ olefins is essential and valuable. In this work，an RBF neural network model was established to investigate the influence of catalyst combination composition and temperature on ethanol conversion and C₄ olefins selectivity based on experimental benchmark data for different catalyst combinations and temperatures provided in Problem B in the Mathematics Competition of Chinese College Students 2021. The results showed that temperature had a strong correlation with C₄ olefins selectivity，the mass of Co/SiO₂ and HAP had essentially the same effect on C₄ olefins selectivity，Co loading had a more significant impact on C₄ olefins selectivity than ethanol conversion，and ethanol feed had a weaker correlation with the C₄ olefins selectivity and ethanol conversion.

Key words: catalyst combination and temperature, ethanol conversion, C₄ olefins selectivity, RBF neural network

中图分类号:

TQ649.42

吴文俊，张智恒，李星辰，胡晓莉. 基于RBF 神经网络模型的乙醇偶合制备C₄烯烃的工艺条件分析[J]. 江汉大学学报（自然科学版）, 2022, 50(3): 29-35.

WU Wenjun，ZHANG Zhiheng，LI Xingchen，HU Xiaoli. Analysis of Process Conditions for the Preparation of C₄ Olefins by Ethanol Coupling Based on RBF Neural Network Model[J]. Journal of Jianghan University (Natural Science Edition), 2022, 50(3): 29-35.

基于RBF 神经网络模型的乙醇偶合制备C₄烯烃的工艺条件分析

Analysis of Process Conditions for the Preparation of C₄ Olefins by Ethanol Coupling Based on RBF Neural Network Model

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价