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- W2367719077 abstract "The microstructure of low-carbon bainite steel at room temperature was obtained through controlled rolling and cooling and tempering treatment.After analyzing the experimental data of the bainite grain size under different conditions of cooling speed,final cooling temperature and tempering temperature,an artificial neural network with back propagation(BP) algorithm was established and models for predicting the tempering microstructure of low-carbon bainite steel were developed after training.Error analysis shows that the artificial neural network model for bainite microstructure has higher precision,and it can be used for guiding the hot working process of low-carbon bainite steel." @default.
- W2367719077 created "2016-06-24" @default.
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- W2367719077 date "2011-01-01" @default.
- W2367719077 modified "2023-09-22" @default.
- W2367719077 title "Prediction of Tempering Microstructure of Low-carbon Bainite Steel Based on BP Artificial Neural Network" @default.
- W2367719077 hasPublicationYear "2011" @default.
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