Data on the coefficient of friction and its prediction by a machine learning model as a function of time for open-cell AlSi10Mg-Al(2)O(3) composites with different porosity tested by pin-on-disk method

This data article presents the experimental data of the wear behavior of four types of open-cell AlSi10Mg materials and open-cell AlSi10Mg-Al(2)O(3) composites with different pore sizes under dry sliding conditions tested by pin-on-disk method. The data include the coefficient of friction (COF) as a...

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Detalles Bibliográficos
Autores principales: Kolev, Mihail, Drenchev, Ludmil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460942/
https://www.ncbi.nlm.nih.gov/pubmed/37645448
http://dx.doi.org/10.1016/j.dib.2023.109489

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460942/
https://www.ncbi.nlm.nih.gov/pubmed/37645448
http://dx.doi.org/10.1016/j.dib.2023.109489

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