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Research paper

# Artificial Intelligence in Metallurgical Engineering: A Comprehensive Review of Applications, Challenges, and Future Direction

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Transformation in Metallurgical Engineering: From Microstructure Analysis to Smart Manufacturing and Sustainable Production"** ### Alternative Title 2 (Process-Focused)**"Machine Learning and Deep Learning Applications Across the Metallurgical Value Chain: A Systematic Review of Materials Discovery, Process Optimization, and Quality Control"** ### Alternative Title 3 (Industry 4.0 Focus)**"Industry 4.0 and Beyond: Artificial Intelligence as a Catalyst for Innovation in Steelmaking, Alloy Design, and Sustainable Metallurgy"** ### Alternative Title 4 (Technical Focus)**"D

geruganti, sudhakar
Creative Commons Attribution 4.0 InternationalView resource
Research paper

# Artificial Intelligence in Metallurgical Engineering: Comprehensive Applications in Microstructure Analysis, Property Prediction, and Process Optimization

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Powered Metallurgical Characterization and Optimization: From EBSD Analysis and SEM Image Recognition to Mechanical Property Prediction and Heat Treatment Optimization"** ### Alternative Title 2 (Microstructure Focus)**"Revolutionizing Microstructural Analysis with Artificial Intelligence: EBSD, SEM, Texture Quantification, Grain Size Estimation, and Phase Fraction Prediction"** ### Alternative Title 3 (Property Focus)**"Intelligent Property Prediction in Metallurgy: AI-Driven Estimation of Mechanical Properties, Fatigue Life, Creep Behavior, and Fracture Toughness"** ### Alte

geruganti, sudhakar
Creative Commons Attribution 4.0 InternationalView resource

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