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Non-isothermal Phase-Field Modeling of Heat–Melt–Microstructure-Coupled Processes During Powder Bed Fusion

Yang, Yangyiwei ; Kühn, Patrick ; Yi, Min ; Egger, Herbert ; Xu, Bai-Xiang (2024)
Non-isothermal Phase-Field Modeling of Heat–Melt–Microstructure-Coupled Processes During Powder Bed Fusion.
In: JOM : The Journal of The Minerals, Metals & Materials Society (TMS), 2020, 72 (4)
doi: 10.26083/tuprints-00023962
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Non-isothermal Phase-Field Modeling of Heat–Melt–Microstructure-Coupled Processes During Powder Bed Fusion
Language: English
Date: 2 October 2024
Place of Publication: Darmstadt
Year of primary publication: April 2020
Place of primary publication: New York
Publisher: Springer Science
Journal or Publication Title: JOM : The Journal of The Minerals, Metals & Materials Society (TMS)
Volume of the journal: 72
Issue Number: 4
DOI: 10.26083/tuprints-00023962
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

Modeling and simulation of powder bed fusion (PBF) remain a great challenge due to the sophisticated and interactive nature of underlying physics. A unified scenario considering interactions among the heat transfer, melt flow dynamics and microstructure evolution (noted as “heat–melt–microstructure-coupled processes”) is therefore essential for a thermodynamically consistent description and thus reliable microstructure prediction. In contrast to the state of the art, where either individual aspects are considered or the thermal history is taken as input from separate numerical scheme, we propose in this work a unified non-isothermal phase-field model for the heat–melt–microstructure-coupled processes during PBF. Simulations on a stainless steel 316L powder bed demonstrate that the model can reproduce well-observed features, but also help to discover new in-process phenomena and reveal the mechanism of the defect formation. Based on massive simulation results, we also present the densification map with respect to beam power and scan speed, and have classified the regions of the parameter combination by the distinct resultant morphology.

Uncontrolled Keywords: Engineering, general, Chemistry/Food Science, general, Physics, general, Environment, general, Earth Sciences, general
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-239626
Classification DDC: 500 Science and mathematics > 510 Mathematics
500 Science and mathematics > 530 Physics
Divisions: 11 Department of Materials and Earth Sciences > Material Science > Mechanics of functional Materials
04 Department of Mathematics > Numerical Analysis and Scientific Computing
Date Deposited: 02 Oct 2024 11:50
Last Modified: 30 Oct 2024 13:34
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23962
PPN: 522372058
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