Prediction of mechanical properties of 50CrVA tempered steel strip for horn diaphragm based on BPANN |
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Authors: | Shuyong Jiang Lihong Zhao and Guixiang Wu |
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Affiliation: | (1) Department of Mechanical Engineering, Nigde University, Nigde, 51100, Turkey;(2) Department of Engineering Sciences, Middle East Technical University, Ankara, 06531, Turkey; |
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Abstract: | 50CrVA cold-rolled spring steel strip was used to fabricate the diaphragm of the automotive horn. The material parameters
which were taken into account in the design of the diaphragm involve elongation, elastic limit, Young’s modulus, yield strength
and tensile strength. The tempering process was carried out in order to enable the diaphragm to possess the excellent mechanical
properties, such as high elastic limit, high fatigue strength and perfect stress relaxation resistance. As a nonlinear information
processing system, the backpropagation artificial neural network (BPANN) was applied to predict and simulate the relationship
between the mechanical properties of the diaphragm and the tempering process parameters. Experimental results show that a
BPANN with 3-8-5 architecture is capable of predicting the relationship between the mechanical properties of the diaphragm
and the tempering temperature successfully and lays the profound foundations for optimizing the design of the diaphragm. BPANN
simulation results show that the tempering temperature ranging from 380 to 420 °C contributes to enhancing the comprehensive
mechanical properties of the diaphragm including high Young’s modulus, high elastic limit and high fatigue strength. |
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