{"title":"Geometrically Parametrized Reduced Order Model of a Miniaturized Thermoelectric Generator for Electrically Active Implants","authors":"C. Yuan, T. Bechtold","doi":"10.1109/EuroSimE52062.2021.9410842","DOIUrl":null,"url":null,"abstract":"Design optimization process of thermoelectric generators can be performed in finite element software and speeded up by mathematical methods of parametric model order reduction. In order to investigate the impact of the geometry changes, e.g., the matrix-interpolation based parametric model order reduction method can be utilized to generate compact, but highly accurate parametric reduced order models for efficient parametric studies. However, an important prerequisite for this method is that the finite element mesh of the model remains the same with the changing of the geometrical parameters. In this work, we present a geometry parameterizing strategy to obtain a constant mesh in the model.","PeriodicalId":198782,"journal":{"name":"2021 22nd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 22nd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuroSimE52062.2021.9410842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Design optimization process of thermoelectric generators can be performed in finite element software and speeded up by mathematical methods of parametric model order reduction. In order to investigate the impact of the geometry changes, e.g., the matrix-interpolation based parametric model order reduction method can be utilized to generate compact, but highly accurate parametric reduced order models for efficient parametric studies. However, an important prerequisite for this method is that the finite element mesh of the model remains the same with the changing of the geometrical parameters. In this work, we present a geometry parameterizing strategy to obtain a constant mesh in the model.