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Erschienen in: Computational Mechanics 4/2019

03.08.2018 | Original Paper

Powder-scale multi-physics modeling of multi-layer multi-track selective laser melting with sharp interface capturing method

verfasst von: Zekun Wang, Wentao Yan, Wing Kam Liu, Moubin Liu

Erschienen in: Computational Mechanics | Ausgabe 4/2019

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Abstract

As a promising powder-based additive manufacturing technology, selective laser melting (SLM) has gained great popularity in recent years. However, experimental observation of the melting and solidification process is very challenging. This hinders the study of the physical mechanisms behind a variety of phenomena in SLM such as splashing and balling effects, and further poses challenges to the quality control of the products. Powder-scale computational models can reproduce the multi-physics process of SLM. In this study, we couple the Finite Volume Method (FVM) and Discrete Element Method to model the deposition of powder particles, and use the FVM to model the melting process, both with ambient air. In particular, a cutting-edge sharp surface capturing technique (iso-Advector) is incorporated into the Volume of Fluid Model to reconstruct the interface between different phases during the melting process. Iso-Advector is then used to capture and reconstruct the interface between molten material and ambient air, which is further used as a solid boundary for spreading the next powder layer. As such, 3D geometrical data is exchanged between these two stages repeatedly to reproduce the powder spreading-melting process of SLM incorporating different scan paths on multiple powder layers. To demonstrate the effectiveness of the powder-scale multi-physics modeling framework, typical scenarios with different fabrication parameters (Ti–6Al–4V powder) are simulated and compared with experimental observations available in literature.

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Metadaten
Titel
Powder-scale multi-physics modeling of multi-layer multi-track selective laser melting with sharp interface capturing method
verfasst von
Zekun Wang
Wentao Yan
Wing Kam Liu
Moubin Liu
Publikationsdatum
03.08.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Computational Mechanics / Ausgabe 4/2019
Print ISSN: 0178-7675
Elektronische ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-018-1614-5

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