Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network

Jamli, Mohamad Ridzuan and Mohd Ihsan, Ahmad Kamal Ariffin and Abdul Wahab, Dzuraidah (2015) Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network. Jurnal Kejuruteraan, 27. pp. 23-28. ISSN 0128-0198

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Abstract

The aim of this study is to develop an elastic modulus predictive model during unloading of plastically prestrained SPCC sheet steel. The model was developed using the back propagation neural networks (BPNN) based on the experimental tension unloading data. The method involves selecting the architecture, network parameters, training algorithm, and model validation. A comparison is carried out of the performance of BPNN and nonlinear regression methods. Results show the BPNN method can more accurately predict the elastic modulus at the respective prestrain levels.

Item Type:	Article
Uncontrolled Keywords:	Back propagation; elastic modulus degradation; neural network
Subjects:	T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Manufacturing Engineering > Department of Manufacturing Process
Depositing User:	Mohamad Ridzuan Jamli
Date Deposited:	02 Jan 2017 03:57
Last Modified:	18 Jul 2021 20:04
URI:	http://eprints.utem.edu.my/id/eprint/17852
Statistic Details:	View Download Statistic

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