Machine Learning Based Methods for Obtaining Correlations between Microstructures and Thermal Stresses

The microstructure–property relationship is critical for parts made using the emerging additive manufacturing process where highly localized cooling rates bestow spatially varying microstructures in the material. Typically, large temperature gradients during the build stage are known to result in si...

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Hlavní autoři:	Akshay Bhutada, Sunni Kumar, Dayalan Gunasegaram, Alankar Alankar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-07-01
Edice:	Metals
Témata:	material design data-enabled predictions materials informatics additive manufacturing ICME
On-line přístup:	https://www.mdpi.com/2075-4701/11/8/1167
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