Machine learning for the prediction of edge cracking in sheet metal forming processes
This work aims to evaluate the performance of various machine learning algorithms in the prediction of metal forming defects, particularly the occurrence of edge cracking. To this end, seven different single classifiers and two types of ensemble models (majority voting and stacking) were used to mak...
| Autor principal: | |
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| Outros Autores: | , , , , , |
| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2023
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10773/33001 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/33001 |