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

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 archit...

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Main Authors: Jamli, Mohamad Ridzuan, Mohd Ihsan, Ahmad Kamal Ariffin, Abdul Wahab, Dzuraidah
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2015
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utem.edu.my/id/eprint/17852/1/jamli.pdf
http://eprints.utem.edu.my/id/eprint/17852/
http://www.ukm.my/jkukm/?page_id=557
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spelling my.utem.eprints.178522021-07-18T20:04:00Z http://eprints.utem.edu.my/id/eprint/17852/ Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network Jamli, Mohamad Ridzuan Mohd Ihsan, Ahmad Kamal Ariffin Abdul Wahab, Dzuraidah TJ Mechanical engineering and machinery 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. Penerbit Universiti Kebangsaan Malaysia 2015-03-30 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/17852/1/jamli.pdf 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 http://www.ukm.my/jkukm/?page_id=557
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Jamli, Mohamad Ridzuan
Mohd Ihsan, Ahmad Kamal Ariffin
Abdul Wahab, Dzuraidah
Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network
description 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.
format Article
author Jamli, Mohamad Ridzuan
Mohd Ihsan, Ahmad Kamal Ariffin
Abdul Wahab, Dzuraidah
author_facet Jamli, Mohamad Ridzuan
Mohd Ihsan, Ahmad Kamal Ariffin
Abdul Wahab, Dzuraidah
author_sort Jamli, Mohamad Ridzuan
title Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network
title_short Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network
title_full Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network
title_fullStr Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network
title_full_unstemmed Modelling of Elastic Modulus Degradation in Sheet Metal Forming Using Back Propagation Neural Network
title_sort modelling of elastic modulus degradation in sheet metal forming using back propagation neural network
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2015
url http://eprints.utem.edu.my/id/eprint/17852/1/jamli.pdf
http://eprints.utem.edu.my/id/eprint/17852/
http://www.ukm.my/jkukm/?page_id=557
_version_ 1706960901303697408
score 13.154949

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