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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Detalhes bibliográficos
Autor principal: Marques, Armando E. (author)
Outros Autores: 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)
Formato: article
Idioma:eng
Publicado em: 2022
Assuntos:
Texto completo:http://hdl.handle.net/10773/35358
País:Portugal
Oai:oai:ria.ua.pt:10773/35358