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Machine vision based friction stir welding seam quality monitoring system and method

ActiveCN117564441BRealize 3D reconstructionFill the technical gap in online intelligent detectionNon-electric welding apparatusMachine visionNerve network
The application provides a machine vision-based friction stir welding seam quality monitoring system and method, and relates to the technical field of friction stir welding. The friction stir welding seam quality monitoring system is installed in a main body of a friction stir welding device. The system comprises, which are connected in sequence, a vision module, a three-dimensional reconstruction module, a quality prediction module, a decision module and a data transmission module. The vision module, the three-dimensional reconstruction module, the quality prediction module, the decision module and the data transmission module are electrically connected. The welding seam quality monitoring method realizes three-dimensional reconstruction of the surface state of a welding seam in a welding process through the friction stir welding seam quality monitoring system, and utilizes a convolutional neural network to perform online nondestructive detection and evaluation on the surface defects, internal defects and welding quality of the friction stir welding seam, thereby filling the technical gap in online intelligent detection of internal defects of friction stir welding.
Owner:SHENYANG AEROSPACE UNIVERSITY