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Surrogate Modeling of Melt Pool Thermal Field using Deep Learning. (arXiv:2207.12259v2 [cs.LG] UPDATED)
Aug. 8, 2022, 1:11 a.m. | AmirPouya Hemmasian, Francis Ogoke, Parand Akbari, Jonathan Malen, Jack Beuth, Amir Barati Farimani
cs.LG updates on arXiv.org arxiv.org
Powder-based additive manufacturing has transformed the manufacturing
industry over the last decade. In Laser Powder Bed Fusion, a specific part is
built in an iterative manner in which two-dimensional cross-sections are formed
on top of each other by melting and fusing the proper areas of the powder bed.
In this process, the behavior of the melt pool and its thermal field has a very
important role in predicting the quality of the manufactured part and its
possible defects. However, the …
More from arxiv.org / cs.LG updates on arXiv.org
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