Barsharani Dash

Veer Surendra Sai University of Technology

Papers

Total Citations

H-Index

About

Barsharani Dash is a researcher focused on the advanced manufacturing and machinability of smart materials, particularly Nickel-Titanium (NiTi) shape memory alloys (SMAs). Her work addresses the critical challenge of machining these difficult-to-process materials, which are vital for applications in aerospace, medical devices, and robotics. Her most cited work, "A Concise Review on Machinability of NiTi Shape Memory Alloys" (2019, 39 citations), provides a foundational overview of the field, establishing her expertise. She has further advanced this area with her study on the electrochemical machining (ECM) of high-temperature Ni56Ti44 SMA, specifically investigating the drilling process to improve machining quality features. This research is notable for offering a practical pathway to overcome the tool wear and surface integrity issues commonly associated with conventional machining of NiTi alloys. By bridging the gap between material science and manufacturing engineering, Dash’s contributions are helping to unlock the full potential of shape memory alloys in high-precision industries, making her a key voice in sustainable and efficient smart material processing.