Ruilin Dai
Papers
1
Total Citations
1
H-Index
1
About
Ruilin Dai is a researcher specializing in intelligent manufacturing and welding automation, with a particular focus on laser vision sensing and multi-pass welding processes. Their most-cited work, "Determination of the Initial Welding Point for Multi-pass Welding Based on Laser Vision" (2019), addresses a critical challenge in automated welding: precisely locating the starting point for multi-layer welds. This contribution is foundational for improving the accuracy and reliability of robotic welding systems, reducing human intervention, and enhancing weld quality in industrial applications. While the citation count for this paper is modest, its technical significance lies in advancing real-time vision-based control for complex welding tasks. Dai’s research bridges the gap between computer vision and manufacturing, offering practical solutions for thick-plate welding in sectors like shipbuilding and pressure vessel fabrication. Their work underscores the growing role of sensor-guided automation in modern manufacturing, where precision and repeatability are paramount. For students and researchers in welding engineering or robotic automation, Dai’s study provides a clear methodology for integrating laser vision into multi-pass welding workflows, making it a valuable reference for those exploring adaptive control in harsh industrial environments.
Research Focus
Key Achievements
Top Papers
- 1