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It has been broadly reported that determination of the martensite start temperature in steels, Ms, 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 Ms with AGS. The present work examines the validity of existing neural network models, but focusing on fine AGS (below 5 m).
The authors acknowledge financial support from the European Union through the European Coal and Steel Community program (ECSC-7210-PR-349) and from the Spanish Ministerio de Educacio´n y Ciencia (Special Action MAT 2002-10808-E).
Peer reviewed
Martensite start temperature, Austenite grain size
Martensite start temperature, Austenite grain size
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