Visual sensing and intelligent control of weld pool dynamics in aluminum alloy pulsed MIG welding process

摘要

Based on Fuzzy controller and expert system (ES), a real-time control system is proposed for improving the stability of the weld pool width in aluminum alloy metal inert gas (MIG) welding. A vision sensing system for taking the image of pool of aluminum alloy has been setup and corresponding image-processing algorithm has been developed to acquire characteristic parameters of the weld pool. The experiments show that the real-time and precision requirements for detecting and control of weld pool width of aluminum alloy MIG welding process could be satisfied by the established system.