Yosuke OGINO
Papers
2
Total Citations
5
H-Index
2
About
Yosuke Ogino is a researcher advancing the field of welding engineering, with a focus on intelligent process monitoring and simulation. His key research areas include gas metal arc welding (GMAW), weld pool simulation, and in-process defect detection. Ogino’s major contribution is the development of a supporting system for pass design in multi-pass welding, grounded in GMAW weld pool simulation—a computational approach that enhances weld quality and efficiency. He has also pioneered a practical, in-process detection method for blowholes, integrating an infrared camera with a welding robot to identify welding phenomena directly linked to blowhole formation. This work, published in 2021, introduces an image analysis index for real-time defect prediction, significantly improving weld integrity. While his citation counts are currently modest (3 and 2 citations respectively), his research represents a critical step toward automated, high-quality welding in industrial applications. Ogino’s achievements are notable for bridging simulation and real-time sensing, offering a pathway to smarter, more reliable welding processes. His work is particularly relevant for students and researchers interested in the intersection of robotics, thermal imaging, and manufacturing quality control.
Research Focus
Key Achievements
Top Papers
- 1
- 2