{"title":"基于AMESim和modelfrontier联合仿真优化的液冷循环制冷量分配方法","authors":"Li Haodong, Dong Sujun, J. Hongsheng, Li Yunhua","doi":"10.1109/ICIEA51954.2021.9516133","DOIUrl":null,"url":null,"abstract":"The flow distribution of each branch of the aircraft's airborne liquid cooling cycle is a key issue to ensure refrigeration performance and improve energy utilization. Due to the correlation of multiple factors, the existing airborne liquid cooling cycle flow distribution method cannot achieve accurate flow distribution result. This paper takes the maximum maximum temperature of all equipment as the optimization goal, and the joint simulation-optimization of the AMESim software and the modeFRONTIER platform is used to solve the optimization design problem of the flow distribution scheme. The result shows that compared with traditional design methods, the use of simulation-based optimization design methods can give full play to the advantages of AMESim software in simulation and performance index calculation and modeFRONTIER software in searching for optimal allocation schemes. It can reduce the maximum temperature of each branch device and effectively improve the cooling effect.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"102 1","pages":"317-322"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A cooling capacity distribution method for liquid cooling cycle based on Co-simulation and optimization of AMESim and modeFRONTIER\",\"authors\":\"Li Haodong, Dong Sujun, J. Hongsheng, Li Yunhua\",\"doi\":\"10.1109/ICIEA51954.2021.9516133\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The flow distribution of each branch of the aircraft's airborne liquid cooling cycle is a key issue to ensure refrigeration performance and improve energy utilization. Due to the correlation of multiple factors, the existing airborne liquid cooling cycle flow distribution method cannot achieve accurate flow distribution result. This paper takes the maximum maximum temperature of all equipment as the optimization goal, and the joint simulation-optimization of the AMESim software and the modeFRONTIER platform is used to solve the optimization design problem of the flow distribution scheme. The result shows that compared with traditional design methods, the use of simulation-based optimization design methods can give full play to the advantages of AMESim software in simulation and performance index calculation and modeFRONTIER software in searching for optimal allocation schemes. It can reduce the maximum temperature of each branch device and effectively improve the cooling effect.\",\"PeriodicalId\":6809,\"journal\":{\"name\":\"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)\",\"volume\":\"102 1\",\"pages\":\"317-322\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEA51954.2021.9516133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA51954.2021.9516133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cooling capacity distribution method for liquid cooling cycle based on Co-simulation and optimization of AMESim and modeFRONTIER
The flow distribution of each branch of the aircraft's airborne liquid cooling cycle is a key issue to ensure refrigeration performance and improve energy utilization. Due to the correlation of multiple factors, the existing airborne liquid cooling cycle flow distribution method cannot achieve accurate flow distribution result. This paper takes the maximum maximum temperature of all equipment as the optimization goal, and the joint simulation-optimization of the AMESim software and the modeFRONTIER platform is used to solve the optimization design problem of the flow distribution scheme. The result shows that compared with traditional design methods, the use of simulation-based optimization design methods can give full play to the advantages of AMESim software in simulation and performance index calculation and modeFRONTIER software in searching for optimal allocation schemes. It can reduce the maximum temperature of each branch device and effectively improve the cooling effect.
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