Papers

1

Total Citations

14

H-Index

1

About

Sumit Sharma is a researcher focused on advanced manufacturing processes, particularly the machining of difficult-to-cut materials. His key research area lies in wire electrical discharge machining (WEDM), with a specific emphasis on processing shape memory alloys—materials known for their unique superelasticity and shape recovery but challenging machinability. Sharma’s major contribution is a comprehensive review on WEDM of shape memory alloys, published in 2018, which systematically analyzes the process parameters, material removal mechanisms, and surface integrity outcomes. This work has garnered 14 citations, serving as a foundational reference for researchers exploring precision machining of smart materials. By synthesizing experimental findings and identifying critical gaps, Sharma’s review aids in optimizing WEDM for industrial applications, such as biomedical implants and actuators. His research underscores the intersection of non-traditional machining and functional materials, offering practical insights for engineers seeking to enhance manufacturing efficiency. Sharma’s contributions are valuable for students and researchers delving into sustainable, high-precision machining of advanced alloys.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Review on WEDM of Shape Memory Alloy
14 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Dr. B. R. Ambedkar National Institute of Technology Jalandhar

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago