New data perspective for selective laser melting simulations
- In selective laser melting (SLM), a powdered material is locally melted by a laser and, after cooling, forms a coherent solid structure that enables the production of complex geometries with various materials. The process involves extreme heating and cooling rates and, thus, large temperature gradients, which lead to anisotropic material properties on the macroscopic scale and, in the worst case, reduced mechanical properties. In order to reliably predict the final mechanical component properties, simulations can be performed at different time and length scales. Enormous computational resources are often required to perform such simulations. In order to transform these simulations into suitable surrogate models, the generated data must be compressed and evaluated in a suitable way. This paper shows first preliminary work and a possible new data description of such simulations.
Author: | Luca Luberto, Kristin M. de Payrebrune |
---|---|
URN: | urn:nbn:de:hbz:386-kluedo-80898 |
DOI: | https://doi.org/10.1002/pamm.202200051 |
ISSN: | 1617-7061 |
Parent Title (English): | Proceedings in Applied Mathematics and Mechanics |
Publisher: | Wiley |
Document Type: | Article |
Language of publication: | English |
Date of Publication (online): | 2024/04/19 |
Year of first Publication: | 2023 |
Publishing Institution: | Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau |
Date of the Publication (Server): | 2024/04/19 |
Issue: | 22/1 |
Page Number: | 6 |
Source: | https://onlinelibrary.wiley.com/doi/10.1002/pamm.202200051 |
Faculties / Organisational entities: | Kaiserslautern - Fachbereich Maschinenbau und Verfahrenstechnik |
DDC-Cassification: | 6 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften und Maschinenbau |
Collections: | Open-Access-Publikationsfonds |
Licence (German): | Zweitveröffentlichung |