High speed camera application - welding

Additive manufacturing, welding, 3D printing

Laser welding has significant advantages in welding quality and efficiency. Due to the small spot diameter of the laser beam, accurate alignment of the weld seam with the laser beam is a prerequisite for achieving high-quality welding. Therefore, accurate tracking of the weld seam is the key to laser welding. Machine vision inspection is one of the main methods for weld seam tracking,By high-speedcameraShoot dynamic melt pool image sequences, obtain melt pool feature parameters, analyze the inherent laws between weld path deviation and melt pool feature parameters, and establish a visual model for real-time measurement of weld path and laser beam deviation. Then output the adjustment amount to the robot controllerControl the operation of the mechanical finger welding gun to achieve automatic tracking.

Additive Manufacturing（Additive Manufacturing，AM） 俗称3D printing, integratedComputer aided designMaterial processing and forming technology, based on digital model files, using software and numerical control systems to create specializedmetal material、non-metallic materialsAnd medical biomaterials, which are stacked layer by layer through extrusion, sintering, melting, photopolymerization, spraying, and other methods to manufacture solid objects. Compared to the traditional machining mode of removing cutting and assembling raw materials, it is aThe manufacturing method of "bottom-up" involves the accumulation of materials from scratch. This makes it possible to manufacture complex structural components that were previously constrained by traditional manufacturing methods and could not be achieved.

Laser metal additive manufacturing achieves near net shape of metal parts by rapidly melting, solidifying, and layer by layer stacking of metal materials. During the forming processThe large temperature gradient generates thermal stress and deformation within the parts, leading to metallurgical defects and degradation of microstructure properties. Therefore, temperature field detection, analysis, and control have always been key issues in metal additive manufacturing. To this end, a review was conducted on the finite element simulation analysis of temperature fields in additive manufacturing both domestically and internationally. The research progress on online detection and analysis of forming surfaces and melt pool temperatures based on infrared thermal imagers and pyrometers, as well as closed-loop control of forming temperatures and substrate preheating control, were discussed. The advantages and disadvantages of existing temperature field detection, analysis, and control technologies in additive manufacturing were compared, and future development trends were analyzed.