{"title":"管件径向挤压液压成形多角线加载路径优化方法研究","authors":"Guolin Hu, C. Pan","doi":"10.1109/ICNSC52481.2021.9702189","DOIUrl":null,"url":null,"abstract":"The loading path is an important factor that affects the hydroforming performance of the tube and the quality of the formed parts. A reasonable loading path can effectively avoid forming failures and significantly improve the forming quality. In this paper, by studying the deformation behavior of the tube during radial pressure bulging, the influence of the loading path on the forming performance of the tube is revealed. Using the compound optimization strategy of genetic algorithm and dichotomy, the index to evaluate the forming quality is proposed, the index is weighted according to the degree of difficulty, and a multi-objective function that takes into account each index is constructed. The effectiveness and stability of the compound optimization strategy are analyzed through the forming quality of the bulging part, the number of iterations of the optimization strategy and the global optimization. The research results show that the tube has relatively optimal comprehensive forming quality under the action of the optimal loading path, and the optimization strategy has fewer iterations and good global optimization. It shows that the optimization method in this paper is effective and the optimization strategy is stable.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation on the Optimization Method of Polygonal Line Loading Path for Tube Hydroforming with Radial Crushing\",\"authors\":\"Guolin Hu, C. Pan\",\"doi\":\"10.1109/ICNSC52481.2021.9702189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The loading path is an important factor that affects the hydroforming performance of the tube and the quality of the formed parts. A reasonable loading path can effectively avoid forming failures and significantly improve the forming quality. In this paper, by studying the deformation behavior of the tube during radial pressure bulging, the influence of the loading path on the forming performance of the tube is revealed. Using the compound optimization strategy of genetic algorithm and dichotomy, the index to evaluate the forming quality is proposed, the index is weighted according to the degree of difficulty, and a multi-objective function that takes into account each index is constructed. The effectiveness and stability of the compound optimization strategy are analyzed through the forming quality of the bulging part, the number of iterations of the optimization strategy and the global optimization. The research results show that the tube has relatively optimal comprehensive forming quality under the action of the optimal loading path, and the optimization strategy has fewer iterations and good global optimization. It shows that the optimization method in this paper is effective and the optimization strategy is stable.\",\"PeriodicalId\":129062,\"journal\":{\"name\":\"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNSC52481.2021.9702189\",\"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 International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC52481.2021.9702189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigation on the Optimization Method of Polygonal Line Loading Path for Tube Hydroforming with Radial Crushing
The loading path is an important factor that affects the hydroforming performance of the tube and the quality of the formed parts. A reasonable loading path can effectively avoid forming failures and significantly improve the forming quality. In this paper, by studying the deformation behavior of the tube during radial pressure bulging, the influence of the loading path on the forming performance of the tube is revealed. Using the compound optimization strategy of genetic algorithm and dichotomy, the index to evaluate the forming quality is proposed, the index is weighted according to the degree of difficulty, and a multi-objective function that takes into account each index is constructed. The effectiveness and stability of the compound optimization strategy are analyzed through the forming quality of the bulging part, the number of iterations of the optimization strategy and the global optimization. The research results show that the tube has relatively optimal comprehensive forming quality under the action of the optimal loading path, and the optimization strategy has fewer iterations and good global optimization. It shows that the optimization method in this paper is effective and the optimization strategy is stable.