Unravelling the Hot Working Behavior, Constitutive Modeling, and Processing Map for Controlling the Microstructure of Sintered Al–Zn–Mg Alloy

K Harikrishna, MJ Davidson, R Datta… - Arabian Journal for …, 2024 - Springer
Achieving superior properties in hot working demands the integration of constitutive
modeling, precise microstructure control, and the rigorous identification of safe and efficient …

Evaluation of Machine Learning Models for Predicting the Hot Deformation Flow Stress of Sintered Al–Zn–Mg Alloy

K Harikrishna, A Nithin… - Journal of …, 2025 - asmedigitalcollection.asme.org
In predicting flow stress, machine learning (ML) offers significant advantages by leveraging
data-driven approaches, enhancing material design, and accurately forecasting material …

Corrosion behavior analysis and characterization of AA7178 matrix alloy reinforced with nano TiO2 particles

N Bharat, PSC Bose, N Trivedi… - Surface Topography …, 2024 - iopscience.iop.org
The objective of this study is to assess how AA7178 matrix-based nanocomposites'
microstructure and corrosion properties are affected by the addition of nano TiO 2 particles …

[PDF][PDF] Mechanical and Corrosion Behaviour of Hot-Deformed Al-Zn-Mg Alloy: A Constitutive and Machine Learning Approach

K Harikrishna - 2024 - researchgate.net
Constitutive analysis in hot deformation is crucial for optimizing metal forming processes and
enhancing productivity. To address this, a powder metallurgy Al-Zn-Mg alloy underwent …