The Sustainability Of Neural Network Applications Within Finite Element Analysis In Sheet Metal Forming: A Review
The prediction of springback in sheet metal is vital to ensure economical metal forming. The latest nonlinear recovery in finite element analysis is used to achieve accurate results, but this method has become more complicated and requires complex computational programming to develop a constitutive...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2019
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| Online Access: | http://eprints.utem.edu.my/id/eprint/24444/2/MR%20JAMLI.PDF http://eprints.utem.edu.my/id/eprint/24444/ https://www.sciencedirect.com/science/article/pii/S0263224119301526 |
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