The Design And Implementation Of Automatic Welding Of Robot With Machine Vision

In order to adapt and gradually enter the development direction of industry 4.0,in order to reduce the labor costs,improve the working conditions of front-line workers,and improve work efficiency,freeing workers from high-intensity and dangerous working environments,and can engage in other research work,The thesis study the replacement of manual welding by robotic arm to achieve mass productivity.This thesis takes Foxconn's finished six-axis robot as the basis,and with the assistant of machine vision,so that the robotic arm realizes automatic welding as the research topic.It focuses on the application of the robotic arm in real production,the use of machine vision and image process.The six-axis FOXBOT robot used in this thesis considers welding requirements,accuracy,and operating efficiency,etc.Uses scalable remote I/O,and designs interface circuits for peripheral devices according to actual welding requirements.The robot uses the Cypress Enable editor and uses VB Editing language,simple syntax,reducing system development difficulty and making system integration easier.In the welding method,we adopted a non-melting argon arc welding method to avoid the design of the wire feeding mechanism.When performing batch welding on mechanical parts,the position of the welding gun can be memorized by the robot and the same position can be performed repeatedly.The welding action is more stable in mass production.Using machine vision detection methods can greatly improve production efficiency and production quality.The promotion of uses a5-megapixel smart camera,and introduces pixel calibration and template reaction matching functions to accurately track the position of the weld and compare it with the calibration position in real time.The deviation is transmitted to the host in real time.The welding path is adjusted in time to ensure the welding quality during mass production.This thesis connects industrial robots and machine vision through IP protocol communication to achieve precise welding follow-up and position adjustment and automatic welding without human operation to meet the quality requirement for mass productivity.