Aitor Zalakain-Azpiroz
Papers
1
Total Citations
10
H-Index
1
About
Aitor Zalakain-Azpiroz is a researcher specializing in advanced manufacturing and sensor fusion, with a primary focus on welding process monitoring and quality control. His most cited work, "A calibration tool for weld penetration depth estimation based on dimensional and thermal sensor fusion" (2021), addresses a critical challenge in automated welding: accurately estimating weld penetration depth in real time. By integrating dimensional and thermal sensor data, Zalakain-Azpiroz developed a calibration methodology that enhances the reliability of non-destructive quality assessment, reducing the need for post-weld inspection. This contribution is particularly significant for industries like automotive and aerospace, where weld integrity is paramount. With 10 citations, his work has already influenced subsequent studies in sensor-based process control and machine learning for manufacturing. Zalakain-Azpiroz’s research bridges the gap between theoretical sensor fusion models and practical industrial applications, offering a scalable solution for improving weld quality in automated systems. His ongoing work continues to explore the intersection of thermal imaging, dimensional metrology, and real-time process optimization, positioning him as a rising contributor to the field of intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
- 1