Avinash Ravi Raja

Papers

Total Citations

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About

Avinash Ravi Raja is a leading researcher in advanced manufacturing and welding process monitoring, with a particular focus on gas metal arc welding (GMAW). His work centers on developing non-destructive, real-time techniques to detect and classify weld defects by analyzing electrical signatures—specifically, the current and voltage signals of the welding arc. In his highly cited 2018 study, he pioneered a decision tree-based classification system that accurately identifies defects such as porosity, lack of fusion, and spatter from these signatures, achieving 44 citations. His earlier 2017 paper, with 40 citations, established the foundational correlation between arc electrical behavior and defect formation, providing a robust framework for in-process quality control. Together, these contributions have significantly advanced the field of intelligent welding, enabling automated defect detection without costly post-weld inspection. His work is widely recognized for bridging signal processing, machine learning, and manufacturing engineering, offering practical solutions for improving weld integrity in industries like automotive and aerospace. With over 80 combined citations for his key papers, Raja’s research continues to influence both academic studies and industrial applications in smart manufacturing.