K. Mohandas
Papers
2
Total Citations
84
H-Index
2
About
Dr. K. Mohandas is a leading researcher in advanced welding process monitoring and defect diagnostics, with a primary focus on Gas Metal Arc Welding (GMAW). His most influential work centers on developing non-invasive, real-time techniques to detect and classify weld defects by analyzing the electrical signatures of the welding arc—specifically, the current and voltage waveforms. In his highly cited 2018 study, Dr. Mohandas pioneered a decision tree-based classification system that accurately identifies defects such as porosity, lack of fusion, and spatter from these arc signatures, achieving over 44 citations. His foundational 2017 paper, with 40 citations, established the critical correlation between specific arc voltage and current patterns and the presence of weld defects, providing the empirical basis for his later machine learning models. Dr. Mohandas’s contributions are pivotal for advancing automated quality control in manufacturing, reducing reliance on post-weld inspection, and improving the reliability of welded structures. His work is widely referenced in the fields of welding engineering, signal processing, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2