Sara Montoya A, María C. Yepes R, Cuscagua L. Juan D, Elizabeth Hoyos P, Yesid Montoya G, Hernán D. Álvarez Z
{"title":"基于实验数据和常规软件工具的FSW面向控制预测","authors":"Sara Montoya A, María C. Yepes R, Cuscagua L. Juan D, Elizabeth Hoyos P, Yesid Montoya G, Hernán D. Álvarez Z","doi":"10.1109/RPIC53795.2021.9648469","DOIUrl":null,"url":null,"abstract":"This document presents a control-oriented strategy to predict temperature distribution during the friction stir welding (FSW) process. The proposal uses a programming platform that solves heat transfer problems based on material thermal properties and geometry, internal and external heat sources, and boundary conditions for transient problems. Finally, the strategy provides a single equation for predict the heat dissipation from operative FSW parameters. The results are evaluated by comparing experimental and simulated temperature results and coherence between predicted and experimental temperature distributions. A model such as the presented allows designing a model-based control structure for the FSW process. In that sense, the weld quality is the controlled variable and the options for manipulated variables are the travel and rotational speeds of the tool.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Control oriented prediction for FSW based on experimental data and conventional software tools\",\"authors\":\"Sara Montoya A, María C. Yepes R, Cuscagua L. Juan D, Elizabeth Hoyos P, Yesid Montoya G, Hernán D. Álvarez Z\",\"doi\":\"10.1109/RPIC53795.2021.9648469\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This document presents a control-oriented strategy to predict temperature distribution during the friction stir welding (FSW) process. The proposal uses a programming platform that solves heat transfer problems based on material thermal properties and geometry, internal and external heat sources, and boundary conditions for transient problems. Finally, the strategy provides a single equation for predict the heat dissipation from operative FSW parameters. The results are evaluated by comparing experimental and simulated temperature results and coherence between predicted and experimental temperature distributions. A model such as the presented allows designing a model-based control structure for the FSW process. In that sense, the weld quality is the controlled variable and the options for manipulated variables are the travel and rotational speeds of the tool.\",\"PeriodicalId\":299649,\"journal\":{\"name\":\"2021 XIX Workshop on Information Processing and Control (RPIC)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 XIX Workshop on Information Processing and Control (RPIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RPIC53795.2021.9648469\",\"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 XIX Workshop on Information Processing and Control (RPIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RPIC53795.2021.9648469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control oriented prediction for FSW based on experimental data and conventional software tools
This document presents a control-oriented strategy to predict temperature distribution during the friction stir welding (FSW) process. The proposal uses a programming platform that solves heat transfer problems based on material thermal properties and geometry, internal and external heat sources, and boundary conditions for transient problems. Finally, the strategy provides a single equation for predict the heat dissipation from operative FSW parameters. The results are evaluated by comparing experimental and simulated temperature results and coherence between predicted and experimental temperature distributions. A model such as the presented allows designing a model-based control structure for the FSW process. In that sense, the weld quality is the controlled variable and the options for manipulated variables are the travel and rotational speeds of the tool.