{"title":"PRISMS-Indentation: Multi-scale Elasto-Plastic Virtual Indentation Module","authors":"","doi":"10.1007/s40192-023-00332-4","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>Indentation testing has played a major role for many materials design processes as a convenient and relatively cheap experiment. However, extracting the data from indentation tests requires complex post-processing or an integrated simulation and experiment framework. Accordingly, the simulation of indentation has become a post-processing routine for indentation tests. Providing a highly efficient, computationally scalable, and open-source platform for indentation simulation provides invaluable machinery for materials design process. An open-source PRISMS-Indentation module is presented here as a multi-scale elasto-plastic virtual indentation framework. The module is implemented as a part of PRISMS-Plasticity software which covers length scales of macroscopic plasticity and crystal plasticity. The contact problem is handled using a primal–dual active set method. The framework is first tested against analytical solution of Hertzian theory for contact using an isotropic elasticity model. The robustness of the framework is then investigated in simulations of indentation of annealed Cu microstructures. Unstructured meshes with hexahedral elements and variable mesh density are used to demonstrate potential for speedup in indentation simulations.</p>","PeriodicalId":13604,"journal":{"name":"Integrating Materials and Manufacturing Innovation","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Integrating Materials and Manufacturing Innovation","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1007/s40192-023-00332-4","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
Indentation testing has played a major role for many materials design processes as a convenient and relatively cheap experiment. However, extracting the data from indentation tests requires complex post-processing or an integrated simulation and experiment framework. Accordingly, the simulation of indentation has become a post-processing routine for indentation tests. Providing a highly efficient, computationally scalable, and open-source platform for indentation simulation provides invaluable machinery for materials design process. An open-source PRISMS-Indentation module is presented here as a multi-scale elasto-plastic virtual indentation framework. The module is implemented as a part of PRISMS-Plasticity software which covers length scales of macroscopic plasticity and crystal plasticity. The contact problem is handled using a primal–dual active set method. The framework is first tested against analytical solution of Hertzian theory for contact using an isotropic elasticity model. The robustness of the framework is then investigated in simulations of indentation of annealed Cu microstructures. Unstructured meshes with hexahedral elements and variable mesh density are used to demonstrate potential for speedup in indentation simulations.
期刊介绍:
The journal will publish: Research that supports building a model-based definition of materials and processes that is compatible with model-based engineering design processes and multidisciplinary design optimization; Descriptions of novel experimental or computational tools or data analysis techniques, and their application, that are to be used for ICME; Best practices in verification and validation of computational tools, sensitivity analysis, uncertainty quantification, and data management, as well as standards and protocols for software integration and exchange of data; In-depth descriptions of data, databases, and database tools; Detailed case studies on efforts, and their impact, that integrate experiment and computation to solve an enduring engineering problem in materials and manufacturing.