Sakshum Khanna
Papers
2
Total Citations
68
H-Index
2
About
Sakshum Khanna is a materials and manufacturing researcher whose work centers on the precision machining of advanced alloys, particularly Nitinol shape memory alloys (SMAs). His primary research areas include wire electrical discharge machining (WEDM), multi-response optimization, and the application of nanopowder-mixed dielectric fluids to enhance machining performance. Khanna’s major contributions lie in systematically optimizing WEDM process parameters to improve surface quality, productivity, and geometrical accuracy for Nitinol—a nickel-titanium alloy prized for its superelasticity, corrosion resistance, and shape memory effect. His most cited paper, “Multi-Response Optimization of Al2O3 Nanopowder-Mixed Wire Electrical Discharge Machining Process Parameters of Nitinol Shape Memory Alloy” (2022, 40 citations), demonstrates how alumina nanopowder additives can significantly enhance machining outcomes. A second highly cited work, “Parametric Optimization and Influence of Near-Dry WEDM Variables on Nitinol Shape Memory Alloy” (2022, 28 citations), explores eco-friendly near-dry machining techniques. Together, these studies have accumulated over 68 citations, reflecting their impact on advancing sustainable, high-precision manufacturing for critical applications in biomedical, aerospace, and automotive industries. Khanna’s work is notable for bridging material science and process engineering, offering practical solutions for machining difficult-to-cut SMAs.
Research Focus
Key Achievements
Top Papers
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