Ikshit Sanghrajka
Papers
1
Total Citations
71
H-Index
1
About
Ikshit Sanghrajka is a researcher specializing in advanced manufacturing processes, particularly in the optimization of machining parameters for enhanced material performance. His work focuses on applying statistical and multi-criteria decision-making tools to improve the efficiency and quality of machining operations, with a strong emphasis on sustainable and precision engineering. His most-cited paper, "Optimisation of multiple response characteristics on end milling of aluminium alloy using Taguchi-Grey relational approach" (2018), has garnered 71 citations, demonstrating its significant impact in the field. This study integrates Taguchi methods with Grey relational analysis to simultaneously optimize multiple output characteristics—such as surface finish and tool wear—during the end milling of aluminum alloys, a critical material in aerospace and automotive industries. Sanghrajka’s contributions have advanced practical methodologies for reducing production costs and improving product quality, making his work highly relevant for both academic researchers and industrial practitioners. His research underscores the importance of systematic optimization in modern manufacturing, offering a replicable framework for tackling complex machining challenges.
Research Focus
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Top Papers
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