Artificial intelligent analyzer for mechanical properties of rolled steel bar by using neural networks

Authors:
Rey-Chue Hwang;Yu-Ju Chen;Huang-Chu Huang
Affiliations:
Department of Electrical Engineering, I-Shou University, Kaohsiung, Taiwan;Department of Information Management, Cheng Shiu University, Kaohsiung, Taiwan;Department of Electric Communication, Kaohsiung Marine University, Kaohsiung, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 1
Cited 1

Original Contribution: Adaptive control of dynamic systems by back propagation networks

Neural Networks

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Expert Systems with Applications: An International Journal

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Abstract

In this paper, an artificial intelligent (AI) analyzer for mechanical properties of rolled steel bar by using neural networks was proposed. Based on the learning capability of neural network, the nonlinear and complex relationships among the steel bar's properties, the billet compositions and the control parameters of manufacture could be automatically developed. Such an AI analyzer could help the technician to precisely set the related control parameters on the bar rolling process. Not only the quality of steel bar could be improved, the production cost of the bar could also be greatly reduced.