An Analysis of the Effect of Skew Rolling Parameters on the Surface Quality of C60 Steel Parts Using Classification Models
Artykuł w czasopiśmie
MNiSW
140
Lista 2024
Status: | |
Autorzy: | Lis Konrad |
Dyscypliny: | |
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Rok wydania: | 2024 |
Wersja dokumentu: | Drukowana | Elektroniczna |
Język: | angielski |
Numer czasopisma: | 21 |
Wolumen/Tom: | 17 |
Numer artykułu: | 5362 |
Strony: | 1 - 13 |
Impact Factor: | 3,1 |
Web of Science® Times Cited: | 0 |
Scopus® Cytowania: | 0 |
Bazy: | Web of Science | Scopus |
Efekt badań statutowych | NIE |
Materiał konferencyjny: | NIE |
Publikacja OA: | TAK |
Licencja: | |
Sposób udostępnienia: | Witryna wydawcy |
Wersja tekstu: | Ostateczna wersja opublikowana |
Czas opublikowania: | W momencie opublikowania |
Data opublikowania w OA: | 1 października 2024 |
Abstrakty: | angielski |
This paper presents the experimental and numerical results of a study on producing axisymmetric parts made of the C60-grade steel by skew rolling. The experimental part of this study involved conducting the skew rolling process with varying parameters, including the forming angle α, tool angle θ, chuck velocity Vu, and reduction ratio δ. Their effect on the quality of produced parts was examined and described by the roughness parameter Ra. Numerical calculations involved the use of machine learning models to predict the quality class of produced parts. The highest prediction accuracy of the results was obtained with the random forest and logistic regression models. Metrics such as precision, recall and accuracy were used to evaluate the performance of individual models. Confusion matrices and ROC curves were also employed to illustrate the performance of the classification models. The results of this study will make it possible to prevent the formation of spiral grooves on the circumference of steel parts during the rolling process. |