Papers
1
Total Citations
3
H-Index
1
About
P. Senthil is a researcher focused on manufacturing process optimization, with a particular emphasis on robotic deburring and multi-criteria decision-making techniques. His most cited work, "Application of TOPSIS method for optimization of process parameters in robotic deburring" (2019), demonstrates his expertise in applying the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to enhance manufacturing efficiency. This paper, with 3 citations, serves as a foundational contribution to the field of robotic deburring, a critical process for improving surface quality and reducing manual labor in industrial settings. Senthil's research bridges the gap between theoretical optimization models and practical manufacturing applications, offering valuable insights for engineers and researchers seeking to refine automated processes. His work is particularly relevant for students and professionals exploring advanced manufacturing technologies, as it highlights the importance of systematic parameter selection in achieving superior outcomes. While his citation count is modest, the targeted nature of his research underscores its niche significance, contributing to the broader discourse on intelligent manufacturing and process optimization.
Research Focus
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Top Papers
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