Rajesh Khanna

Maharishi Markandeshwar University, Mullana

Papers

Total Citations

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About

Rajesh Khanna is a materials and manufacturing researcher whose work centers on advancing the machinability of lightweight, high-performance metal matrix composites. His primary research areas include wire electrical discharge machining (WEDM), hybrid composite fabrication, and the application of multi-objective optimization algorithms to manufacturing processes. Khanna’s most notable contribution is a 2022 study on the WEDM of Al/SiC/Ti composites, where he pioneered a hybrid approach combining Response Surface Methodology (RSM), the ARAS decision-making method, and the TLBO optimization algorithm. This work, which has garnered 28 citations, provides a systematic framework for achieving superior surface quality and material removal rates in machining aluminum-based hybrid composites—materials critical for automotive engine components, brake parts, high-speed rotating shafts, and robotics. By integrating statistical modeling with advanced optimization, Khanna has addressed a key industrial challenge: the difficulty of machining these lightweight yet abrasive materials using conventional methods. His research offers practical, data-driven solutions for manufacturers seeking to enhance productivity and precision, positioning him as a valuable contributor to sustainable and efficient manufacturing technologies.