Welding Strategy for Medium and Thick-Wall Pipes Based on Three-Line Laser

Abstract

To realize the intelligence and flexibility of the welding process of medium and thick-walled pipelines, this paper proposes a pipeline welding strategy based on three-line laser vision. The feature points of the weld are obtained by using the fixed points, and the overall contour of the pipe weld is initially fitted to determine the fuzzy position of the weld. After that, path refinement is performed according to the feature point information to complete the welding path planning. Combined with the GA-BP neural network and contour layering strategy to complete the selection of welding technology parameters, establish the relationship model between weld contour information and welding technology parameters to complete the welding task. The experimental results show that the method proposed in this paper can automate the extraction of weld paths and further realize the intelligent and automatic control of the welding process through the prediction of welding technology parameters. The method helps to improve the welding quality and efficiency and reduce the labor cost and production cycle.