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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| Format: | Article |
| Language: | en |
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Penerbit Universiti Kebangsaan Malaysia
2015
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| 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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| 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 |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.utem.eprints-17852 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2015 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| record_format | eprints |
| 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 |
| 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 |
| title | 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_short | 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 |
| topic | TJ Mechanical engineering and machinery |
| 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 |
| url_provider | http://eprints.utem.edu.my/ |