Microstructural damage sensitivity prediction using spatial statistics

Volume: 9, Issue: 1
Published: Feb 26, 2019
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
Volume
9
Issue
1
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