Yuhaowei Zhou, Han Chen, Yunlong Tang, S. Gopinath, Xin Xu, Y. Zhao
{"title":"Simulation and optimization framework for additive manufacturing processes","authors":"Yuhaowei Zhou, Han Chen, Yunlong Tang, S. Gopinath, Xin Xu, Y. Zhao","doi":"10.1109/IDAM.2014.6912667","DOIUrl":null,"url":null,"abstract":"Different from the traditional subtractive manufacturing, additive manufacturing - a more flexible and material saving manufacturing technology has been developed in these recent years. This paper presents a simulation and optimization framework for Additive Manufacturing (AM) processes in practical industry. Starting from multi-level part design, to process optimization and planning, from energy and material consumption to the Key Performance Indicator (KPI) evaluation, the paper presents a complete practical working flow of AM technologies. Four models are developed within the framework: the design model, the process optimization and planning model, the energy and material consumption model and the production model. All the four models connect subsequently one another. Their concepts and corresponding methods will be presented in order in each chapter of the paper. A close optimization loop can be formed by these models. The feedbacks of each model will be used to optimize the design as well as the process planning. Preliminary experiments data are generalized and analysed by each model.","PeriodicalId":135246,"journal":{"name":"Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAM.2014.6912667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Different from the traditional subtractive manufacturing, additive manufacturing - a more flexible and material saving manufacturing technology has been developed in these recent years. This paper presents a simulation and optimization framework for Additive Manufacturing (AM) processes in practical industry. Starting from multi-level part design, to process optimization and planning, from energy and material consumption to the Key Performance Indicator (KPI) evaluation, the paper presents a complete practical working flow of AM technologies. Four models are developed within the framework: the design model, the process optimization and planning model, the energy and material consumption model and the production model. All the four models connect subsequently one another. Their concepts and corresponding methods will be presented in order in each chapter of the paper. A close optimization loop can be formed by these models. The feedbacks of each model will be used to optimize the design as well as the process planning. Preliminary experiments data are generalized and analysed by each model.