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Investigation of heat treatment effects on microstructure and mechanical properties of AlCuCrFeNiTi high-entropy alloys employing hybrid model and feature-adaptive machine learning

This research investigates the microstructure and mechanical properties of AlCuCrFeNiTi high-entropy alloys (HEAs) synthesized by using vacuum arc melting. Microstructural analysis revealed a multiphase system comprising FCC, BCC, and Laves phases, with different heat treatments of 800 °C, 950 °C, a...

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Gardado en:
Principais autores: Mohamed Yasin Abdul Salam, Enoch Nifise Ogunmuyiwa, Victor Kitso Manisa, Abid Yahya, Abdul Khader, Irfan Anjum Badruddin
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2025-12-01
Series:Case Studies in Thermal Engineering
Assuntos:
Vacuum arc melting
High entropy alloys
Machine learning
Hardness prediction
Phase prediction
Feature-adaptive KNN-SVR
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S2214157X25015850
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