Shanben Chen

TL;DR: In this article, the typical welding defects of friction stir welding joint for 5456 aluminum alloy were analyzed and discussed, respectively, by using optical microscopy (OM), energy-dispersive X-ray spectroscopy (EDS), and scanning electron microscope (SEM).

TL;DR: In this paper, a portable spectrometer based on a linear CCD is designed with real-time acquisition and processing of spectral data in the welding process of aluminum alloys, which extracts several characteristic spectral lines and calculates the intensity ratio between H I and Ar I.

TL;DR: A seam tracking system with visual sensing free from calibration was developed for the robot applied in gas tungsten arc welding and the rectifying rule of the robot was found based on the experimental data, and the seam tracking controller was analyzed and constructed.

TL;DR: The research developments of WAAM in recent years are summarized, including the WAAM-suitable metal materials and processing technology, deposition strategy optimization including slicing and path planning algorithm, multi-sensor monitoring and intelligent control, and the large complex metal components manufacturing technology.

TL;DR: An adaptive feature extraction algorithm based on laser vision sensor that has good adaptability for multiple typical welding seams and can maintain satisfying robustness and precision even under complex working conditions is proposed.