Research work

Project: Hydrogen Diffusion and Trapping in Dual-Phase Steels with Varying Ferrite–Martensite Fractions under Incremental Hydrogen Charging (2025-2026)

The research examines hydrogen diffusion and trapping in DP steels with varying ferrite–martensite fractions under incremental hydrogen charging to better simulate real pipeline conditions. Objectives are: (i) quantify diffusion coefficients, trap density, and trap binding energy as functions of phase distribution and charging level; (ii) establish relationships between microstructure and hydrogen transport pathways; and (iii) develop and validate predictive diffusion–trapping models. 

Project: A novel sintering approach for interface diffusion layer control in Al–Al₄CrFeMnTi₀.₂₅ high-entropy alloy composites: Microstructure, strength, and corrosion resistance (2024-2025)

This study investigates the microstructural evolution, mechanical properties, and electrochemical performance of Al-based composites reinforced with Al₄CrFeMnTi₀.₂₅ high-entropy alloy (HEA) particles, fabricated via novel two-step sintering. (Publication link)

Project: Evaluation of Machine Learning Models for Predicting the Hot Deformation Flow Stress of Sintered Al–Zn–Mg Alloy (2023-2024)

The study employs various supervised ML models, including Linear Regression (Lasso and Ridge), Support Vector Regression (SVR), Ensemble Methods (RF, GB, XGB), and Neural Networks (ANN, MLP), to predict flow stress in the hot deformation of an Al-Zn-Mg alloy. (Publication link)

Project: New Method for Microstructure Segmentation and Automatic Grain Size Determination Using Computer Vision Technology During the Hot Deformation of An Al-Zn-Mg Powder Metallurgy Alloy (2022-2023).

• The proposed algorithm measures the optical images grain size automatically by utilizing image processing functions from libraries like OpenCV, NumPy, and SciPy.

• Addressed issues like fused grains, lens aberrations, and edge-related noise, facilitating automated segmentation and accurate determination of microstructure characteristics such as grain counting, ASTM grain size, and grain size in µm. (Publication link)

Project: Comparative Analysis of Hot Deformation Constitutive Models and Processing Maps for Sintered Al-Zn-Mg Alloy (2022-2023)

• Four constitutive models were constructed; namely the Arrhenius-type, modified Johnson Cook (MJC), modified Zerilli-Armstrong (MZA), and an artificial neural network (ANN) for predicting hot deformation behavior.

• Established processing maps, while considering the effect of strain, facilitated the assessment of the workability of the Al-Zn-Mg alloy.  (Publication link)

 Project: Microstructure Characterization of Hot-Deformed Al-Zn-Mg Alloy using EBSD (2022-2023)

The microstructural changes were analysed using EBSD, employing various maps, including IPF, KAM, GOS, and GAM, to assess dislocation density, grain misorientation, and their correlation with recrystallization in relation to both strain rate and temperature. (Publication link)

Project: Role of pre-strain on the corrosion behaviour of Al-Zn-Mg P/M alloy (2021-2022)

Al-5.6Zn-2Mg was subjected to deformation at various temperatures and strain rates then Potentiodynamic polarization and electrochemical impedance spectroscopy were used to assess the electrochemical behavior of deformed preforms. (Publication link)

Project: Effect of interlayers on mechanical properties of AA2014 & AA6061 friction stir welds (2018-2019)

• Attempt has been made to improve the mechanical properties of AA2014 & AA6061 using a Zinc interlayer in friction stir welding. (Publication link)

Project: Design & Analysis of Steering Knuckle (2015-2016)

In this project, an attempt has been made to design a steering knuckle in solidworks for the baja SAE project.