{"title":"Multi-Objective Optimization of Ship Steam Turbine Unit","authors":"Cheng Wang, Zhengming Tang, Xiang Wan, K. Cheng, Haijun Sun, Yuan Fang, Shan Gao","doi":"10.1145/3421766.3421893","DOIUrl":null,"url":null,"abstract":"Mathematical model of ship steam turbine unit including steam turbine, gear reducer and condenser is established. Given the reasonable boundary conditions, the weight and volume multi-objective optimization of a typical ship steam turbine is carried out by using a modified optimization algorithm to harmonize the selected design variables. The results show that the weight and volume of the optimized ship steam turbine unit decrease by 4.2% and 6.3% respectively, which demonstrates the capability of the optimization method in optimizing the weight and volume of ship steam turbine unit.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3421766.3421893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mathematical model of ship steam turbine unit including steam turbine, gear reducer and condenser is established. Given the reasonable boundary conditions, the weight and volume multi-objective optimization of a typical ship steam turbine is carried out by using a modified optimization algorithm to harmonize the selected design variables. The results show that the weight and volume of the optimized ship steam turbine unit decrease by 4.2% and 6.3% respectively, which demonstrates the capability of the optimization method in optimizing the weight and volume of ship steam turbine unit.