Hot Forming Flow Stress Prediction of Steel 50A1300 by BPA ANN

Abstract:

The researches of non-oriented silicon steel are mainly focused on the effect of main processing parameters on the microstructure and magnetic properties, but there have been few studied about its flow stress until now. In this paper, the hot deformation of non-oriented silicon steel 50A1300 is studied by thermal-mechanical simulation method. The hot deformation behavior of the steel is explored and the flow stress prediction of the steel is established based on a kind of BPA ANN. A piecewise method is proposed in this paper, and the prediction with this new method has good accuracy.

• Periodical: Advanced Materials Research (Volumes 532-533)
• Pages: 105-109
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.532-533.105
• Online since: June 2012
• Authors: Zheng Xin Tang, Xu Dong Zhou
• Keywords: Artificial Neural Network (ANN), Back Propagation Algorithm (BPA), Flow Stress, Hot Forming, Non-Oriented Silicon Steel

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