基于微反应器系统的高时间分辨率和数据驱动的异丙烯自氧化动力学建模

IF 3.5 3区 工程技术 Q2 ENGINEERING, CHEMICAL
AIChE Journal Pub Date : 2025-05-26 DOI:10.1002/aic.18873
Yu Chang, Yuyang Xing, Qichen Shang, Jian Deng, Guangsheng Luo
{"title":"基于微反应器系统的高时间分辨率和数据驱动的异丙烯自氧化动力学建模","authors":"Yu Chang, Yuyang Xing, Qichen Shang, Jian Deng, Guangsheng Luo","doi":"10.1002/aic.18873","DOIUrl":null,"url":null,"abstract":"The cumene autoxidation process holds great significance in the chemical industry. However, existing kinetic models are marred by limitations such as prolonged reaction and sampling intervals, along with the failure to account for the impact of phenol, a key substance. In this work, in the microreactor system, we successfully realized high time resolution data acquisition (5–10 min) and used it to study the effects of various factors, especially phenol, on the oxidation reaction, pointing out the obvious inhibitory effect of phenol. Further, based on the data-driven modeling, we achieved a good prediction of the kinetics (<i>R</i><sup>2</sup> &gt; 0.9) and included phenol in the model. Finally, based on the model, we can successfully optimize and design the reaction.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"25 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High time-resolution and data-driven kinetic modeling of cumene autoxidation based on a microreactor system\",\"authors\":\"Yu Chang, Yuyang Xing, Qichen Shang, Jian Deng, Guangsheng Luo\",\"doi\":\"10.1002/aic.18873\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The cumene autoxidation process holds great significance in the chemical industry. However, existing kinetic models are marred by limitations such as prolonged reaction and sampling intervals, along with the failure to account for the impact of phenol, a key substance. In this work, in the microreactor system, we successfully realized high time resolution data acquisition (5–10 min) and used it to study the effects of various factors, especially phenol, on the oxidation reaction, pointing out the obvious inhibitory effect of phenol. Further, based on the data-driven modeling, we achieved a good prediction of the kinetics (<i>R</i><sup>2</sup> &gt; 0.9) and included phenol in the model. Finally, based on the model, we can successfully optimize and design the reaction.\",\"PeriodicalId\":120,\"journal\":{\"name\":\"AIChE Journal\",\"volume\":\"25 1\",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AIChE Journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/aic.18873\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AIChE Journal","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/aic.18873","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0

摘要

异丙烯自氧化工艺在化学工业中具有重要意义。然而,现有的动力学模型受到一些限制的影响,比如反应时间过长、采样间隔过长,以及没有考虑到关键物质苯酚的影响。在本工作中,我们在微反应器系统中成功实现了高时间分辨率的数据采集(5-10 min),并利用它研究了各种因素,特别是苯酚对氧化反应的影响,指出苯酚具有明显的抑制作用。此外,基于数据驱动的建模,我们获得了很好的动力学预测(R2 > 0.9),并将苯酚纳入模型。最后,在此模型的基础上,成功地对反应进行了优化设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High time-resolution and data-driven kinetic modeling of cumene autoxidation based on a microreactor system
The cumene autoxidation process holds great significance in the chemical industry. However, existing kinetic models are marred by limitations such as prolonged reaction and sampling intervals, along with the failure to account for the impact of phenol, a key substance. In this work, in the microreactor system, we successfully realized high time resolution data acquisition (5–10 min) and used it to study the effects of various factors, especially phenol, on the oxidation reaction, pointing out the obvious inhibitory effect of phenol. Further, based on the data-driven modeling, we achieved a good prediction of the kinetics (R2 > 0.9) and included phenol in the model. Finally, based on the model, we can successfully optimize and design the reaction.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
AIChE Journal
AIChE Journal 工程技术-工程:化工
CiteScore
7.10
自引率
10.80%
发文量
411
审稿时长
3.6 months
期刊介绍: The AIChE Journal is the premier research monthly in chemical engineering and related fields. This peer-reviewed and broad-based journal reports on the most important and latest technological advances in core areas of chemical engineering as well as in other relevant engineering disciplines. To keep abreast with the progressive outlook of the profession, the Journal has been expanding the scope of its editorial contents to include such fast developing areas as biotechnology, electrochemical engineering, and environmental engineering. The AIChE Journal is indeed the global communications vehicle for the world-renowned researchers to exchange top-notch research findings with one another. Subscribing to the AIChE Journal is like having immediate access to nine topical journals in the field. Articles are categorized according to the following topical areas: Biomolecular Engineering, Bioengineering, Biochemicals, Biofuels, and Food Inorganic Materials: Synthesis and Processing Particle Technology and Fluidization Process Systems Engineering Reaction Engineering, Kinetics and Catalysis Separations: Materials, Devices and Processes Soft Materials: Synthesis, Processing and Products Thermodynamics and Molecular-Scale Phenomena Transport Phenomena and Fluid Mechanics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信