Machine learning for predicting fracture strain in sheet metal forming

Machine learning models are built to predict the strain values for which edge cracking occurs in hole expansion tests. The samples from this test play the role of sheet metal components to be manufactured, in which edge cracking often occurs associated with a uniaxial tension stress state at the cri...

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Bibliographic Details
Main Author: Marques, Armando E. (author)
Other Authors: Dib, Mario A. (author), Khalfallah, Ali (author), Soares, Martinho S. (author), Oliveira, Marta C. (author), Fernandes, José V. (author), Ribeiro, Bernardete M. (author), Prates, Pedro A. (author)
Format: article
Language:eng
Published: 2022
Subjects:
Sheet metal forming
Machine learning
Predictive regression models
Fracture strain
Online Access:http://hdl.handle.net/10773/35358
Country:Portugal
Oai:oai:ria.ua.pt:10773/35358

Internet

http://hdl.handle.net/10773/35358

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