Metallurgy, mechanistic models and machine learning in metal printing

Volume: 6, Issue: 1, Pages: 48 - 68
Published: Oct 2, 2020
Abstract
Additive manufacturing enables the printing of metallic parts, such as customized implants for patients, durable single-crystal parts for use in harsh environments, and the printing of parts with site-specific chemical compositions and properties from 3D designs. However, the selection of alloys, printing processes and process variables results in an exceptional diversity of microstructures, properties and defects that affect the serviceability...
Paper Details
Title
Metallurgy, mechanistic models and machine learning in metal printing
Published Date
Oct 2, 2020
Volume
6
Issue
1
Pages
48 - 68
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