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Titel:

A Highly Efficient Computational Approach For Fast Scan-Resolved Microstructure Predictions In Metal Additive Manufacturing On The Scale Of Real Parts

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Sebastian D. Proell, Julian Brotz, Martin Kronbichler, Wolfgang A. Wall, Christoph Meier
Abstract:
In metal additive manufacturing (AM), fast and efficient simulation approaches are essential to explore the full potential of these promising processes, particularly in generating components with tailored microstructures via laser powder bed fusion (LPBF). Due to the inherent multiscale nature of LPBF, existing approaches often need to resort to strong simplifications, such as layer-wise heating models, to make part-scale simulations feasible. In contrast, the present article proposes a scan-res...     »
Stichworte:
powder bed fusion additive manufacturing, part-scale, microstructure, performance modeling
Zeitschriftentitel:
Additive Manufacturing
Jahr:
2024
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:https://doi.org/10.1016/j.addma.2024.104380
Status:
Verlagsversion / published
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