Modeling hardness of Nb-microalloyed steels using fuzzy logic
作者： Gholamreza Khalaj , Hossein Yoozbashizadeh , Alireza Khodabandeh , Ali Nazari
DOI: 10.1007/S00521-011-0802-4
关键词:
摘要: The paper presents some results of the research connected with development new approach based on fuzzy logic predicting Vickers microhardness phase constituents occurring in five steels after continuous cooling. independent variables model are chemical compositions, initial austenite grain size, and cooling rate over temperature range occurrence transformations. For purpose constructing these models, 114 different experimental data were gathered from literature. used arranged a format twelve input parameters that cover rate, output parameter which is microhardness. In this model, training testing systems have shown strong potential for prediction effects compositions heat treatments hardness microalloyed steels.
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