Optimization of wear parameters for ECAP-processed ZK30 alloy using response surface and machine learning approaches: a comparative study

Optimization of wear parameters for ECAP-processed ZK30 alloy using response surface and machine learning approaches: a comparative study

Abstract The present research applies different statistical analysis and machine learning (ML) approaches to predict and optimize the processing parameters on the wear behavior of ZK30 alloy processed through equal channel angular pressing (ECAP) technique. Firstly, The ECAPed ZK30 billets have been...

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Main Authors: Mahmoud Shaban, Fahad Nasser Alsunaydih, Hanan Kouta, Samar El-Sanabary, Abdulrahman Alrumayh, Abdulrahman I. Alateyah, Majed O. Alawad, Waleed H. El-Garaihy, Yasmine El-Taybany
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Equal channel angular pressing
ZK30 alloy
Wear performance
Response surface methodology
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-59880-0
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https://doi.org/10.1038/s41598-024-59880-0

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