Online Extraction of Pose Information of 3D Zigzag-Line Welding Seams for Welding Seam Tracking

Seam Tracking of Intelligent Arc Welding Robot

Intelligent welding robots obtain a good quality of the welding results. Research on automatic and intelligent control of Arc welding is an important means for ensuring weld quality, raising productivity, and improving labor conditions. Despite its widespread use in the various manufacturing industries, the full automation of the robotic welding has not yet been achieved partly because mathemat...

Three Dimension Curve Welding Seam Modeling for Seam Tracking

A novel modeling method for 3D curve welding seam is presented in this paper based on a welding robot for large workpiece. The 3D curve welding seam tracking is implemented by macro and micro motion which can control translational motion of torch in a large range and implement accurate seam tracking in small range. As such, the self-teaching seam model and real-time seam model are established t...

Optical Inspection of Welding Seams

We present a framework for automatic inspection of welding seams based on specular reflections. To this end, we make use of a feature set – called specularity features (SPECs) – that describes statistical properties of specular reflections. For the classification we use a one-class support-vector approach. We show that the SPECs significantly outperform other approaches since they capture more ...

Survey of Robotic Seam Tracking Systems for Arc Welding

Misalignment detection for friction stir welding or Enabling seam tracking for friction stir welding

This paper describes a technique for determining the position of the friction stir welding (FSW) tool with respect to the weld seam during welding. This technique is proposed for online misalignment detection or as a position estimator for in-process tracking of the weld seam for FSW.