Article ID Journal Published Year Pages File Type
1502836 Scripta Materialia 2008 4 Pages PDF
Abstract

It has been broadly reported that determination of the martensite start temperature in steels, MsMs, requires a complete description of their chemical composition. Recently, several neural networks models considering both chemical composition and austenite grain size (AGS) have been developed. Such models predict a moderate dependence of MsMs with AGS. The present work examines the validity of existing neural network models, but focusing on fine AGS (below 5 μm).

Related Topics
Physical Sciences and Engineering Materials Science Ceramics and Composites
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