doi:10.16186/j.cnki.1673-9787.2020020025

Received:2020/02/15

Revised:2020/05/06

Published:2021/05/15

Study on inductor position detection method for high frequencyinduction brazing based on machine vision

ZHAO Junwei, SONG Jindian, DAI Jun, HUANG Junjie, CHEN Guoqiang

School of Mechanical and Power Engineering， Henan Polytechnic University ，Jiaozuo 454000 ， Henan， China

Abstract:The manual welding of the elbow of the radiator is greatly affected by the worker's technical level， and the manual product consistency is poor. In order to solve these shortcomings， a method for detecting the position of a high-frequency induction brazing inductor based on machine vision was proposed and was applied for brazing elbow. In this method， the position of the inductor was detected by a machine vision module. The detected inductor position was fed back to the control system to improve welding brazing. For the position detection of the inductor， support vector machine （ SVM ） and the gray-level overlay filtering method with Otsu threshold segmentation were used. After comparing these two image processing methods， it was found that the maximum image recognition error was 9.5% and 5.9% respectively. The latter one had higher recognition accuracy to meet the requirements of actual brazing. The proposed method was easy to operate， and it could greatly improve the efficiency and accuracy of radiator brazing. This method had universal applicability and high application value.

Key words:high frequency induction brazing;radiator brazing;position detection;machine vision

 基于机器视觉的高频感应钎焊感应器位置检测方法研究_赵俊伟.pdf