Jinfeng Pan
Papers
1
Total Citations
19
H-Index
1
About
Dr. Jinfeng Pan is a leading researcher in intelligent manufacturing and robotic welding process monitoring, with a primary focus on real-time weld quality assessment. Her most-cited work, "Image Segmentation Approaches for Weld Pool Monitoring during Robotic Arc Welding" (2018, 19 citations), addresses a critical challenge in automated welding: robustly measuring the geometry of the specular weld pool surface to determine weld penetration depth. Dr. Pan pioneered the use of structured light laser line systems combined with advanced image segmentation techniques to capture and analyze the highly reflective, dynamic weld pool surface—a notoriously difficult task due to glare and surface curvature. Her contributions have directly advanced the reliability of non-destructive, in-process monitoring, enabling more precise control in robotic arc welding. By establishing a strong correlation between weld pool surface geometry and penetration quality, her work provides a foundation for adaptive welding systems that reduce defects and rework. Dr. Pan’s research is instrumental for students and engineers developing next-generation smart manufacturing solutions, bridging computer vision and welding metallurgy to improve industrial automation and quality assurance.
Research Focus
Key Achievements
Top Papers
- 1