A. Santhakumari
Papers
2
Total Citations
84
H-Index
2
About
Dr. A. Santhakumari is a leading researcher in advanced manufacturing and welding process monitoring, with a focus on the Gas Metal Arc Welding (GMAW) domain. Her pioneering work centers on non-destructive defect classification, where she has developed innovative decision tree-based models that analyze real-time current and voltage signatures to detect weld anomalies. Her most-cited study, "Decision tree based weld defect classification using current and voltage signatures in GMAW process" (2018, 44 citations), demonstrates how machine learning can transform quality control in industrial welding, offering a cost-effective alternative to traditional inspection methods. In her equally impactful 2017 work (40 citations), she established the critical correlation between arc electrical signatures and specific weld defects, providing a foundational framework for intelligent process monitoring. Dr. Santhakumari’s contributions have significant implications for automated manufacturing, reducing material waste and improving structural integrity in sectors like automotive and aerospace. Her research bridges the gap between signal processing and practical welding engineering, earning her recognition as a key innovator in smart manufacturing.
Research Focus
Key Achievements
Top Papers
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