Sophia Keller, Franz Maier, Anna Trauth, Markus G. R. Sause, Roland M. Hinterhoelzl
{"title":"FE悬垂模拟结果质量自动评定","authors":"Sophia Keller, Franz Maier, Anna Trauth, Markus G. R. Sause, Roland M. Hinterhoelzl","doi":"10.1007/s12289-025-01896-6","DOIUrl":null,"url":null,"abstract":"<div><p>Developing and optimizing manufacturing processes for composite components is commonly supported by finite element (FE) simulations. Initial concepts are modeled and parametric studies are conducted to determine optimum process parameters. Built-in application programming interfaces (APIs) typically allow for a script-based automation of systematic model modifications for many FE solvers. However, the evaluation of simulation results typically depends on a manual inspection by experts, despite its repetitive nature. This study aims to use APIs to develop a fully-automated method for identifying and evaluating critical features and thus, the quality of draping simulations. The focus thereby lies on providing a validated framework for the automated evaluation of draping simulation results, rather than claiming perfect virtual representation of experimental draping. Three different metrics (deviations of fiber angles, the boundary contour and topological defects) are used to determine the overall draping quality of simulation results. With the developed routine, all quality metrics can be estimated quite well for simulation results. The routine is designed to be extended for the use with experimental data for a reliable real-life quality assessment.</p></div>","PeriodicalId":591,"journal":{"name":"International Journal of Material Forming","volume":"18 2","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic quality assessment of FE draping simulation results\",\"authors\":\"Sophia Keller, Franz Maier, Anna Trauth, Markus G. R. Sause, Roland M. Hinterhoelzl\",\"doi\":\"10.1007/s12289-025-01896-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Developing and optimizing manufacturing processes for composite components is commonly supported by finite element (FE) simulations. Initial concepts are modeled and parametric studies are conducted to determine optimum process parameters. Built-in application programming interfaces (APIs) typically allow for a script-based automation of systematic model modifications for many FE solvers. However, the evaluation of simulation results typically depends on a manual inspection by experts, despite its repetitive nature. This study aims to use APIs to develop a fully-automated method for identifying and evaluating critical features and thus, the quality of draping simulations. The focus thereby lies on providing a validated framework for the automated evaluation of draping simulation results, rather than claiming perfect virtual representation of experimental draping. Three different metrics (deviations of fiber angles, the boundary contour and topological defects) are used to determine the overall draping quality of simulation results. With the developed routine, all quality metrics can be estimated quite well for simulation results. The routine is designed to be extended for the use with experimental data for a reliable real-life quality assessment.</p></div>\",\"PeriodicalId\":591,\"journal\":{\"name\":\"International Journal of Material Forming\",\"volume\":\"18 2\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Material Forming\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12289-025-01896-6\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Material Forming","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s12289-025-01896-6","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
Automatic quality assessment of FE draping simulation results
Developing and optimizing manufacturing processes for composite components is commonly supported by finite element (FE) simulations. Initial concepts are modeled and parametric studies are conducted to determine optimum process parameters. Built-in application programming interfaces (APIs) typically allow for a script-based automation of systematic model modifications for many FE solvers. However, the evaluation of simulation results typically depends on a manual inspection by experts, despite its repetitive nature. This study aims to use APIs to develop a fully-automated method for identifying and evaluating critical features and thus, the quality of draping simulations. The focus thereby lies on providing a validated framework for the automated evaluation of draping simulation results, rather than claiming perfect virtual representation of experimental draping. Three different metrics (deviations of fiber angles, the boundary contour and topological defects) are used to determine the overall draping quality of simulation results. With the developed routine, all quality metrics can be estimated quite well for simulation results. The routine is designed to be extended for the use with experimental data for a reliable real-life quality assessment.
期刊介绍:
The Journal publishes and disseminates original research in the field of material forming. The research should constitute major achievements in the understanding, modeling or simulation of material forming processes. In this respect ‘forming’ implies a deliberate deformation of material.
The journal establishes a platform of communication between engineers and scientists, covering all forming processes, including sheet forming, bulk forming, powder forming, forming in near-melt conditions (injection moulding, thixoforming, film blowing etc.), micro-forming, hydro-forming, thermo-forming, incremental forming etc. Other manufacturing technologies like machining and cutting can be included if the focus of the work is on plastic deformations.
All materials (metals, ceramics, polymers, composites, glass, wood, fibre reinforced materials, materials in food processing, biomaterials, nano-materials, shape memory alloys etc.) and approaches (micro-macro modelling, thermo-mechanical modelling, numerical simulation including new and advanced numerical strategies, experimental analysis, inverse analysis, model identification, optimization, design and control of forming tools and machines, wear and friction, mechanical behavior and formability of materials etc.) are concerned.