The Analysis of Influencing Factors of Steel Bars Property by Neural Network | |
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( Volume 2 Issue 3,March 2016 ) OPEN ACCESS | |
Author(s): | |
Shen-Whan Chen, Yu-Ju Chen, Chuo-Yean Chang, Chun-Yi Wu, Rey-Chue Hwang | |
Abstract: | |
This paper presents an analysis of influencing factors of rolled steel bar’s property by a novel neural network (NN) computational method. Through the learning process of NN, the nonlinear and complicated relationships among bar’s mechanical properties, billet chemical compositions and rolling parameters could be clearly obtained in accordance with the influence rates (IR) calculated for all possible influencing inputs. Such an analysis method could be further developed into an artificial intelligent mechanism which can not only help the technician without full experience to precisely set the relevant control parameters in the steel bar’s manufacturing process, but also help the company to produce the high quality steel bar. |
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