Quality Control Monitoring of Welding Texture using Machine Learning
Learning
Welding is a process for connecting parts to each other, which is of great importance, and the presence of any defect and discontinuity in the weld reduces the quality of the weld and lowers the efficiency of the connection. In this article, we examine the important parameters for proper welding and classify the weld texture into two groups of high quality and poor quality using machine learning algorithms.
Laser beam in Laser Wobble Welding
In the construction of structures and equipment, various components are placed next to each other and connected to form the structure or equipment. The connection between components can be made using bolts, pins, rivets, welding, and other methods. Among these methods, welding is a metallurgical joining method used in various industries. To date, welding has been utilized in the industry using various methods such as manual arc welding, TIG, MIG, friction, electron beam, laser, and so on.
Based on studies and experience, it has been shown that creating turbulence in the molten pool remarkably improves the properties of the weld zone. To this end, many welders oscillate the electrode during welding to create turbulence in the molten pool. Since laser welding is widely used in the automotive, electronics, heat exchanger, and other industries, in recent years, efforts have been made to create turbulence in the weld zone to improve the weld properties. Therefore, at first, it was attempted to create turbulence by moving the laser head in the molten pool. However, this was very difficult for small parts or complex weld geometries. Therefore, a new type of laser welding called laser wobble welding was invented.
Scansonic SCeye Process Monitoring for Laser Welding and Laser Brazing
In order to achieve the best quality of laser welding products in automatic industrial systems and also considering the importance of short cycle time and minimum human interface, process monitoring systems are provided by different companies. Scansonic MI specializes in laser welding, brazing, hardening, seam tracking, and process monitoring and has manufactured a variety of items in these areas. Scansonic SCeye is a real-time image processing system that includes a laser welding and brazing process recording and control unit This system’s unique feature is its use of artificial intelligence to detect the smallest holes and splashes and control the quality of welding or brazing. RLW-A is an optical seam tracking for far-field welding and ALO4 is a Laser welding and brazing with tactile seam tracking from Scansonic, that use this monitoring system. Video 1 shows an overview of SCeye’s performance in process monitoring, and it can also be seen that the system allows for intelligent visualization of the process and part seam results.
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