Optimization and prediction of tribological behaviour of filled polytetrafluoroethylene composites using Taguchi Deng and hybrid support vector regression models

This study presents optimization and prediction of tribological behaviour of filled polytetrafluoroethylene (PTFE) composites using hybrid Taguchi and support vector regression (SVR) models. To achieve the optimization, Taguchi Deng was employed considering multiple responses and process parameters...

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Detalles Bibliográficos
Autores principales: Ibrahim, Musa Alhaji, Çamur, Hüseyin, Savaş, Mahmut A., Abba, S. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213422/
https://www.ncbi.nlm.nih.gov/pubmed/35729346
http://dx.doi.org/10.1038/s41598-022-14629-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213422/
https://www.ncbi.nlm.nih.gov/pubmed/35729346
http://dx.doi.org/10.1038/s41598-022-14629-5

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