| 注册
首页|期刊导航|化工进展|不同神经网络描述的乙酸-水共沸精馏分离流程多目标设计优化

不同神经网络描述的乙酸-水共沸精馏分离流程多目标设计优化

黄良德 童张法 金庸 蒋迎花

化工进展2026,Vol.45Issue(8):4529-4537,9.
✕
化工进展2026,Vol.45Issue(8):4529-4537,9.DOI:10.16085/j.issn.1000-6613.2025-1430

不同神经网络描述的乙酸-水共沸精馏分离流程多目标设计优化

Multi-objective design optimization of acetic acid-water azeotropic distillation separation process under different neural networks

黄良德 1童张法 1金庸 2蒋迎花1

作者信息

  • 1. 广西大学化学化工学院,广西石化资源加工及过程强化技术重点实验室,广西南宁 530004||广西大学绿色化工新材料广西高校工程研究中心,广西南宁 530004
  • 2. 广西华谊能源化工有限公司,广西钦州 535000
  • 折叠

摘要

Abstract

The recovery of acetic acid from industrial waste acid in acetic acid production is of great importance for the sustainable development of enterprises.This study used azeotropic distillation technology to separate acetic acid-water solutions.A simulation model of the process was first established,and the corresponding simulation results were used to construct a bootstrap aggregated neural network(BANN)and a random subspace stacked neural network(RSSNN)for classification and prediction of the acetic acid-water azeotropic separation process.Based on this,a multi-objective optimization model for the acetic acid-water separation process was established using BANN and RSSNN.The NSGA-Ⅱ algorithm was then applied to solve the multi-objective optimization problem.A case study based on the treatment of waste acid from an actual acetic acid industry was used to demonstrate the effectiveness of the proposed method.The results of the case study showed that BANN and RSSNN exhibited good classification and prediction capabilities in the acetic acid-water separation process.However,RSSNN was more accurate in predicting economic and environmental performance indicators.The multi-objective optimization results obtained by BANN and RSSNN were similar to those obtained by the simulation model,and the speed of multi-objective optimization based on BANN and RSSNN was respectively 7.3 times and 9.8 times faster than that based on the simulation model.

关键词

乙酸废液/共沸精馏/引导聚合神经网络/随机子空间堆叠神经网络/多目标优化

Key words

acetic acid waste liquid/azeotropic distillation/bootstrap aggregated neural network/random subspace stacked neural network/multi-objective optimization

分类

化学化工

引用本文复制引用

黄良德,童张法,金庸,蒋迎花..不同神经网络描述的乙酸-水共沸精馏分离流程多目标设计优化[J].化工进展,2026,45(8):4529-4537,9.

基金项目

广西科技重大专项(桂科AA23062019-4) (桂科AA23062019-4)

广西科技基地和人才专项(桂科AD23026166) (桂科AD23026166)

国家自然科学基金(22308064) (22308064)

广西青年科技人才工程(GXYESS2025048) (GXYESS2025048)

广西石化资源加工及过程强化技术重点实验室开放基金(2024K010) (2024K010)

广西大学高层次人才引进科研启动项目(A3040051027). (A3040051027)

化工进展

1000-6613

访问量0
|
下载量0
段落导航相关论文