Microstructural damage sensitivity prediction using spatial statistics
Abstract
The vast compositional space of metallic materials provides ample opportunity to design stronger, more ductile and cheaper alloys. However, the substantial complexity of deformation micro-mechanisms makes simulation-based prediction of microstructural performance exceedingly difficult. In absence of predictive tools, tedious experiments have to be conducted to screen properties. Here, we develop a purely empirical model to forecast...
Paper Details
Title
Microstructural damage sensitivity prediction using spatial statistics
Published Date
Feb 26, 2019
Journal
Volume
9
Issue
1
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