Tomokazu Sano
Papers
1
Total Citations
2
H-Index
1
About
Tomokazu Sano is a researcher focused on advancing welding process monitoring and quality assurance, with particular expertise in detecting and predicting welding defects in real time. His most notable contribution is the development of an in-process detection method for blowholes—a critical defect in welding that compromises structural integrity. By integrating an infrared camera with a welding robot system, Sano demonstrated the ability to directly observe welding phenomena associated with blowhole formation. He further introduced an innovative image analysis index that enables real-time, automated detection and prediction of these defects, moving beyond traditional post-weld inspection. This work has significant implications for industries relying on high-integrity welds, such as automotive and aerospace manufacturing. While his 2021 paper has garnered 2 citations to date, its practical focus on deployable, sensor-integrated welding systems marks a meaningful step toward intelligent manufacturing. Sano’s research bridges the gap between fundamental welding physics and applied industrial robotics, offering a pathway to reduce costly rework and improve process reliability.
Research Focus
Key Achievements
Top Papers
- 1