{"title":"Heat resistance network model of corrugated honeycomb monolith catalysts based on heat flux field","authors":"Xingwei Wang, Li Zhang","doi":"10.1016/j.cep.2025.110315","DOIUrl":null,"url":null,"abstract":"<div><div>The energy conversion between hydrogen, ammonia, methanol and liquid fuel is often accompanied by strong exothermic or endothermic heterogeneous catalytic reactions. Different metal substrate structured catalysts were used for heat transfer enhancement in our previous literature. In this paper, the enhancement mechanism was further studied by numerical simulation. The results showed that increasing the heat conductivity of the material and improving the structural integrity are effective methods to enhance the effective radial heat conductivity. Then, the heat resistance networks of corrugated honeycomb substrate structured catalysts composed of several local heat resistances were derived through theoretical analysis. The heat flux field was applied to modify the heat resistance networks, and the error was lower than 10 %. The total heat resistance of rolling FeCrAl substrate and selective laser melting AlSiMg substrate were calculated according to the heat resistance network, and verified by simulation results. The results showed that the AlSiMg substrate reduced total heat resistance by 93 % compared to FeCrAl substrate. Finally, the difference between AlSiMg and FeCrAl substrate was analyzed by analyzing local heat resistance, and the structural optimization method was proposed.</div></div>","PeriodicalId":9929,"journal":{"name":"Chemical Engineering and Processing - Process Intensification","volume":"213 ","pages":"Article 110315"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Engineering and Processing - Process Intensification","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0255270125001643","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The energy conversion between hydrogen, ammonia, methanol and liquid fuel is often accompanied by strong exothermic or endothermic heterogeneous catalytic reactions. Different metal substrate structured catalysts were used for heat transfer enhancement in our previous literature. In this paper, the enhancement mechanism was further studied by numerical simulation. The results showed that increasing the heat conductivity of the material and improving the structural integrity are effective methods to enhance the effective radial heat conductivity. Then, the heat resistance networks of corrugated honeycomb substrate structured catalysts composed of several local heat resistances were derived through theoretical analysis. The heat flux field was applied to modify the heat resistance networks, and the error was lower than 10 %. The total heat resistance of rolling FeCrAl substrate and selective laser melting AlSiMg substrate were calculated according to the heat resistance network, and verified by simulation results. The results showed that the AlSiMg substrate reduced total heat resistance by 93 % compared to FeCrAl substrate. Finally, the difference between AlSiMg and FeCrAl substrate was analyzed by analyzing local heat resistance, and the structural optimization method was proposed.
期刊介绍:
Chemical Engineering and Processing: Process Intensification is intended for practicing researchers in industry and academia, working in the field of Process Engineering and related to the subject of Process Intensification.Articles published in the Journal demonstrate how novel discoveries, developments and theories in the field of Process Engineering and in particular Process Intensification may be used for analysis and design of innovative equipment and processing methods with substantially improved sustainability, efficiency and environmental performance.