Young Scientist Award
Ajit Singh
Aravali College of Engineering and Management, India
Ajit Singh is an Indian academician and researcher in the field of Mechanical Engineering with specialization in advanced manufacturing, production engineering, and electrical discharge machining (EDM). His research primarily focuses on near dry-EDM, powder mixed EDM, machining optimization, advanced manufacturing technologies, and process parameter optimization using multi-attribute decision-making approaches. He has contributed numerous publications in SCIE and Scopus indexed journals related to machining performance, sustainable manufacturing, and hybrid EDM technologies.
Abstract
Ajit Singh has established research contributions in advanced manufacturing and production engineering with a particular emphasis on electrical discharge machining technologies. His work explores optimization of machining parameters, near dry-EDM processes, powder mixed EDM, grey relational analysis, and sustainable manufacturing approaches. Through experimental investigations and analytical modelling, his studies contribute to improving machining efficiency, surface quality, and material removal characteristics in modern manufacturing systems.
Keywords
Mechanical Engineering, Near Dry EDM, Powder Mixed EDM, Advanced Manufacturing, Production Engineering, Machining Optimization, Grey Relational Analysis, Sustainable Manufacturing, Electrical Discharge Machining, Manufacturing Processes.
Introduction
Modern manufacturing industries require advanced machining techniques capable of improving precision, efficiency, and sustainability. Electrical discharge machining and hybrid machining technologies have become important research areas for manufacturing engineers seeking enhanced process performance and optimized material processing. Ajit Singh’s academic and research activities focus on addressing these challenges through systematic experimentation and optimization methodologies in advanced machining systems.
Education
Ajit Singh completed his Bachelor of Technology in Mechanical Engineering from Lingaya’s University, Faridabad in 2018. He subsequently earned a Master of Technology in Manufacturing and Production Engineering from Lingaya’s Vidyapeeth in 2020 with outstanding academic performance. He pursued doctoral research in Advanced Manufacturing and Production Engineering at Lingaya’s Vidyapeeth, Faridabad, focusing on optimization of near dry electrical discharge machining processes.
Research Profile
Ajit Singh is currently serving as Assistant Professor at Aravali College of Engineering and Management, Faridabad, Haryana. He has previously worked as Assistant Professor at Lingaya’s Vidyapeeth, Echelon Institute of Technology, and Pt. LR College of Technology. His teaching and research responsibilities include manufacturing processes, machine design, mechanics, metrology, automation, and production engineering.
His doctoral research titled “Experimental Investigation and Multi-attributes Decision Making Optimization on Process Parameters of near Dry –EDM” investigates optimization techniques for near dry electrical discharge machining using grey relational analysis and multi-attribute decision-making methods. His research integrates experimental analysis with sustainable machining methodologies for improved manufacturing performance.
Research Contributions
The major research contributions of Ajit Singh include experimental studies on powder mixed EDM, near dry EDM, gas additive machining, and optimization of machining parameters using grey relational analysis and decision-making techniques. His work focuses on improving material removal rate, surface roughness, residual stress reduction, and machining performance in EN-31 die steel and related engineering materials.
He has contributed to several SCIE and Scopus indexed journals, particularly in the areas of advanced machining technologies and sustainable manufacturing systems. His work also extends to renewable energy systems, fluid mechanics, materials engineering, and automation technologies.
Selected Publications
- Experimental work on process parameters of die sinking EDM and near-dry EDM by Utilizing Multi-Attribute Decision Making (MADM) optimization, Journal of Metrology Society of India.
- Experimental Investigation of ND-EDM and Traditional EDM process parameters utilizing multi-attributes decision-making optimization, SADHNA – Indian Academy of Sciences.
- Enhancement of Machining Performance through Comparative Analysis of Powder-Mixed and Near-Dry EDM Using Multi-Attribute Decision-Making Techniques, SADHNA.
- Analysis and Optimization of Process Parameters of Powder Mixed Near Dry-EDM By Using Grey Relational Optimization, Journal of Mines, Metals and Fuels.
- Experimental work on process parameters of Hybrid Electric Discharge Machining, Scope Journal.
- The Effect of low Reynolds number on coefficient of S-type pitot tube with variation in port to port distance, Materials Today: Proceedings.
- Optimization of Machining Performance in WEDM of Stainless Steel 316 through Multi-Attribute Decision-Making Approach, SADHNA.
Research Impact
Ajit Singh’s research output contributes to the advancement of sustainable machining and optimization methodologies in manufacturing engineering. His publications in SCIE and Scopus indexed journals demonstrate active engagement with industrially relevant manufacturing challenges and modern machining technologies.
His studies on near dry-EDM and powder mixed EDM provide insights into environmentally sustainable machining approaches that reduce resource consumption while improving machining efficiency and surface characteristics. These contributions are relevant to both academic research and industrial manufacturing applications.
Award Suitability
Ajit Singh demonstrates strong alignment with the objectives of the Research Excellence Award through his sustained contributions to advanced manufacturing research and higher education. His publications in reputed indexed journals, active conference participation, and ongoing doctoral research reflect significant academic engagement and research productivity.
His specialization in sustainable machining technologies, optimization techniques, and hybrid manufacturing systems addresses important contemporary engineering challenges. These contributions support his recognition in the category of Mechanical Engineering and Advanced Manufacturing research.
Conclusion
Ajit Singh is an emerging researcher and academician in the field of Mechanical Engineering with notable expertise in advanced manufacturing and machining optimization. Through research publications, academic teaching, conference participation, and industrially relevant investigations, he continues to contribute to the development of sustainable and efficient manufacturing technologies within the engineering research community.
External Links
References
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- Ajit, Sanjay Sundriyal. Investigation and Optimization on Parameters of Gas Additive Powder Mixed Near Dry–EDM (GAPMNDEDM) by Using Taguchi Based-Grey Relational Optimization. Journal of Mines, Metals and Fuels, 2024. DOI: 10.18311/jmmf/2024/36131
https://doi.org/10.18311/jmmf/2024/36131
- Singh, A.; Khan, I.A.; Khan, M.Z.; Mahto, P. The Effect of Low Reynolds Number on Coefficient of S-Type Pitot Tube with the Variation in Port to Port Distance. Materials Today: Proceedings, 2021. DOI: 10.1016/j.matpr.2020.12.174
https://doi.org/10.1016/j.matpr.2020.12.174
- The Impact of Low Reynolds Number on Coefficient of Probe at Different-Different Angle of S-Type Pitot Tube. Materials Today: Proceedings, 2020. DOI: 10.1016/j.matpr.2021.04.443
https://doi.org/10.1016/j.matpr.2021.04.443