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Machine learning application for wear rate prediction of WC/Co-based cermet with different content of Ni, Cr, TiC, TaC, and NbC.

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Title: Machine learning application for wear rate prediction of WC/Co-based cermet with different content of Ni, Cr, TiC, TaC, and NbC.
Authors: Harouz, Riad1 (AUTHOR) r.harouz@univ-soukahras.dz, Zelmatı, Djamel2,3 (AUTHOR), Khelil, Khaled4 (AUTHOR)
Source: International Journal of Advanced Manufacturing Technology. Dec2024, Vol. 135 Issue 11, p5945-5959. 15p.
Database: Academic Search Ultimate
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  Data: Machine learning application for wear rate prediction of WC/Co-based cermet with different content of Ni, Cr, TiC, TaC, and NbC.
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  Data: <searchLink fieldCode="AR" term="%22Harouz%2C+Riad%22">Harouz, Riad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> r.harouz@univ-soukahras.dz</i><br /><searchLink fieldCode="AR" term="%22Zelmatı%2C+Djamel%22">Zelmatı, Djamel</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Khelil%2C+Khaled%22">Khelil, Khaled</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. Dec2024, Vol. 135 Issue 11, p5945-5959. 15p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00170-024-14862-4
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 5945
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      – TitleFull: Machine learning application for wear rate prediction of WC/Co-based cermet with different content of Ni, Cr, TiC, TaC, and NbC.
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            NameFull: Harouz, Riad
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            NameFull: Zelmatı, Djamel
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            NameFull: Khelil, Khaled
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              Text: Dec2024
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              Y: 2024
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              Value: 135
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              Value: 11
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            – TitleFull: International Journal of Advanced Manufacturing Technology
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