Optimization of ECAP parameters of ZX30 alloy using feature engineering assisted machine learning and response surface approaches-Reference-Cited by-同舟云学术

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Optimization of ECAP parameters of ZX30 alloy using feature engineering assisted machine learning and response surface approaches

Published:2024-08 Issue: Volume:40 Page:109560
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

El-Garaihy W.H.,Alateyah A.I.,Alawad Majed O.,Alsunaydih Fahad Nasser,El-Sanabary Samar,El-Asfoury Mohamed S.,Alhumud Haitham S.,Kouta Hanan

Funder

Qassim University

Publisher

Elsevier BV

Reference59 articles.

1. A review on magnesium alloys for biomedical applications;Zhang;Front Bioeng. Biotechnol.,2022

2. Mg-based composites for biomedical applications;Marques de Castro,2022

3. Effects of process parameters on microstructure properties of WE43 magnesium alloy by selective laser melting;Shi;Mater. Today Commun.,2024

4. Magnesium based alloys and composites: revolutionized biodegradable temporary implants and strategies to enhance their performance;Venkateswarlu;Materials,2023

5. magnesium-zinc-calcium alloys suitable for biomedical and lightweight electrical applications;Zavala-Serrat,2023

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