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Titel:

Physics-Based Modeling and Predictive Simulation of Powder Bed Fusion Additive Manufacturing Across Length Scales

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Christoph Meier, Sebastian L. Fuchs, Nils Much, Jonas Nitzler, Ryan W. Penny, Patrick M. Praegla, Sebastian D. Pröll, Yushen Sun, Reimar Weissbach, Magdalena Schreter, Neil E. Hodge, A. John Hart, Wolfgang A. Wall
Abstract:
Powder bed fusion additive manufacturing (PBFAM) of metals has the potential to enable new paradigms of product design, manufacturing and supply chains while accelerating the realization of new technologies in the medical, aerospace, and other industries. Currently, wider adoption of PBFAM is held back by difficulty in part qualification, high production costs and low production rates, as extensive process tuning, post-processing, and inspection are required before a final part can be produced a...     »
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften
Zeitschriftentitel:
arXiv preprint arXiv:2103.16982
Jahr:
2021
Nachgewiesen in:
Scopus
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:https://doi.org/10.1002/gamm.202100014
Status:
Verlagsversion / published
Publikationsdatum:
22.08.2021
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