VForm-xSteels: Virtual materials database

VForm-xSteels: Virtual materials database


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Abstract. Nowadays, most of the product designs rely on the aid of simulation software, particularly Finite Element Analysis (FEA) programs. However, an accurate simulation requires a proper virtual/numerical material behavior reproduction, meaning a precise material characterization through constitutive models and their parameters. To numerically characterize a material, particularly a metal, (i) experimental tests, (ii) model selection and (iii) inverse procedures are required. All these three tasks can be expensive and time-consuming. Therefore, product development engineers resort to materials databases to obtain the virtual materials, i.e. the constitutive models and their parameters adequate for the desired material. However, the information provided by the materials databases does not include experimental data nor provide information on the testing procedures. Due to this absence, users cannot verify the information nor its accuracy on the material database. Moreover, data related to material constitutive models, required for accurate simulations seems to be absent [1]. This work presents the development of a new material database that revises the previous problem. This database has the focus on virtual materials and their importance in product simulation and design. The presented VForm-xSteels material database includes (a) mechanical models and their implementation in FEA software, (b) experimental data and (c) the parameters identified for each material, and (d) indications concerning the quality of the material behavior reproduction associated with each model/parameters set. This database can be enlarged by the contributions of all users and present the following benefits for the engineering community: (i) increasing the precision and reliability of numerical FEA simulations by providing accurate input data, filling then a gap of the FEA market and answering to the request of the FEA users; (ii) reducing the development lead-time of metallic parts and the development of robust technological solutions with highly improved quality, consequently decreasing cost and time in the overall development process.

Material Database, Numerical Characterization, Model Identification, Full-Field Data

Published online 4/24/2024, 10 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: ANDRADE-CAMPOS António, CAMPOS Afonso, HENRIQUES João, FILHO Lucius, TÚLIO Marcos, CONDE Mariana, GONÇALVES Mafalda, PRATES Pedro, LOURENÇO Rúben, VForm-xSteels: Virtual materials database, Materials Research Proceedings, Vol. 41, pp 1789-1798, 2024

DOI: https://doi.org/10.21741/9781644903131-198

The article was published as article 198 of the book Material Forming

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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