Journal of Shanghai Jiao Tong University ›› 2022, Vol. 56 ›› Issue (10): 1334-1340.doi: 10.16183/j.cnki.jsjtu.2021.270

• Materials Science and Engineering • Previous Articles     Next Articles

A Detection Method of Wire Feeding Speed Based on Filtering Algorithm of Distortion Signal

LE Jian1,2, LIU Yichun2, ZHANG Hua2, CHEN Xiaoqi1()   

  1. 1. School of Materials Science and Engineering; Shanghai Key Laboratory of Materials Laser Processing and Modification, Shanghai Jiao Tong University, Shanghai 200240, China
    2. School of;Information Engineering, Nanchang University, Nanchang 330031, China
  • Received:2021-07-23 Online:2022-10-28 Published:2022-11-03
  • Contact: CHEN Xiaoqi E-mail:xqchen@sjtu.edu.cn.

Abstract:

Wire feeding speed has an important effect on the welding quality. In order to realize robot intelligent welding, it is necessary to study the accurate detection method of the wire feeding speed. First, the working principle of the wire feeding speed detection is studied, thus the wire feeding speed online detection can be realized. Then, a kind of wire feeding speed detection system is designed, which wirelessly transmits the sensing signal of the welding wire to the welding robot. Finally, the detection method of the wire feeding speed based on the filtering algorithm of distortion sensing signal is studied, including the principle of no mutation of adjacent wire feeding speed sensing signal, the interference signal elimination algorithm for adjacent detection signal of multiple sensing signal loss without abrupt change, and the detection method of the wire feeding speed. The experimental results show that the main noise in the original wire feeding speed sensing signal can be eliminated by using the designed algorithm and system, and the accuracy of the wire feeding speed detection can be improved. In addition, the width of weld pass after robot welding can not be affected by the change of the welding current.

Key words: wire feeding speed, distortion signal, filtering algorithm, online detection, robot welding

CLC Number: