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Current Research Work @ AMADE Research Group, University of Girona, Spain
Working on advanced cryogenic testing technologies for hydrogen-powered aircraft, including permeability analysis of CFRP hydrogen tanks at cryogenic temperatures.
Investigating crystallinity changes, residual stress evolution, and microstructural behaviour of aerospace materials under extreme low-temperature conditions.
Developing innovative cryogenic testing protocols and reliability assessment methods to simulate real operational environments.
Conducting thermo-mechanical characterization and predictive modeling to understand degradation, stress relaxation, and long-term material performance.
Integrating findings from both the Hydrogen Aircraft Project and the RELAX Project to enhance safety, durability, and efficiency of next-generation aerospace materials and hydrogen storage systems.
Chennai Institute of Technology
Fabrication Process: Developing biocomposites using advanced fused deposition modeling (FDM) and extrusion-based fabrication techniques.
Sustainability: Focusing on sustainable material development to reduce environmental impact while enhancing material efficiency.
Mechanical Properties Analysis: Conducting detailed investigations into tensile strength, compressive strength, and wear resistance to evaluate and improve the performance of biocomposites.
Optimization Techniques: Utilizing artificial intelligence (AI) and machine learning (ML) for multiparameter optimization of the fabrication process and material properties.
Advanced Manufacturing: Combining traditional extrusion methods with computational techniques to enhance material quality and production efficiency.
Applications: Targeting industrial applications by developing eco-friendly materials with superior mechanical and functional properties.
Outcome: Achieving optimized fabrication processes and biocomposites with improved mechanical characteristics while maintaining sustainability.
PhD Research Work
Fabrication, Characterization, and LAM of Nanoparticles infused with Aluminium Metal Matrix Composite and Optimization of Wear Parameters using Meta-Heuristic Algorithms
Tools & technologies used: Laser assisted machining, EBSD, TEM, FESEM, Mechanical Testing, Pin On Disk, Electrochemical Workstation, Meta-Heuristic algorithms, Optimization Techniques.
Successfully fabricated nanocomposites reinforced with nano TiO2 and SiC particles.
Studies showed that 2wt.% reinforcement of nano TiO2, the mechanical, wear and corrosion behaviour of composite increased. However, 3wt.% reinforcement of nano SiC particles showed better properties.
Meta-Heuristics approaches has been used in order to get the optimized result for wear process parameter and it was observed that RAO algorithm performed better amongst the other algorithms.
LAM has been performed and compared the output parameters like surface roughness and cutting force with conventional machining and observed that laser machining has performed better in terms of machinability.
Statistical method has been used to optimize the cutting process parameters during turning like ANOVA and GRA.
Laser-Assisted Machining of Gelcasted Fused silica ceramic composites (DRDO) Project Number: ARMREB/ADMB/2022/258 (Research Member) Feb.2022- till present
Tools & technologies used: Gel casting, FESEM, Mechanical Testing, ANN, Optimization Techniques.
Fabrication of radome for aerospace application using gelcasting method.
Laser assisted turning of the radome in order to get better surface finish
Optimization of input process parameters using different algorithms and optimization techniques to get the optimal values.
M.Tech Research Work
Machinability and residual stress studies on the EN24 steel
Tools & technologies used: CNC Machine, SEM, Mechanical Testing
Conducted a detailed investigation of the machinability aspects of EN24 steel, including cutting forces, surface roughness, and tool wear during machining processes.
Examined and documented the residual stress distribution in EN24 steel after machining operations, providing insights into its mechanical properties and potential for post-machining treatments.
Identified and recommended the most suitable machining parameters, such as cutting speed, feed rate, and depth of cut, to achieve enhanced machinability and reduced residual stresses in EN24 steel components.
Chip morphology has been performed to study type of the fracture.
Tool wear analysis has been studied.
B.Tech Project Work
Solar Car System
Tools & technologies used: Solar panel, batteries, electric motors, lightweight materials.
Developed a solar-powered electric car prototype.
Sustainable and eco-friendly transportation solution.
Optimized energy efficiency for longer travel distances.
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