Data-driven prognostic model for temperature field in additive manufacturing based on the high-fidelity thermal-fluid flow simulation-Reference-Cited by-同舟云学术

Data-driven prognostic model for temperature field in additive manufacturing based on the high-fidelity thermal-fluid flow simulation

Published:2022-03 Issue: Volume:392 Page:114652
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Chen Fan^ORCID,Yang Min,Yan Wentao^ORCID

Funder

Ministry of Education - Singapore

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference47 articles.

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5. S. Price, J. Lydon, K. Cooper, K. Chou, Experimental temperature analysis of powder-based electron beam additive manufacturing, in: 24th Annual International Solid Freeform Fabrication Symposium, Austin, TX, 2013, pp. 162–173.

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