Weld bead modeling method, device and system for arc additive manufacturing

Abstract

The invention belongs to the field of manufacturing of arc wire feed additives, and discloses a weld bead modeling method, device and system for arc additive manufacturing. According to the method, adynamic parameter method is adopted, and different welding process parameters are adopted in the same welding bead in the one-time arc additive manufacturing process, so that a welding bead of which the shape is synchronously and dynamically changed according to the dynamic change of the welding process parameters; and a line laser sensor is used for scanning to obtain the processed weld bead segmented shapes, and each segment of weld bead shape is in one-to-one correspondence with the welding process parameter of the same segment and used as training data to train the neural network so that aweld bead modeling model of the corresponding weld bead shape can be obtained according to the input welding process parameters. According to the method, multiple sets of experimental data can be obtained through one-time processing experiment, sufficient training data are provided under the condition of reducing experiment times and experimental cost, and meanwhile, the technical problems that atraditional orthogonal experiment method and a corresponding curved surface method require complex regression equation selection and parameter optimization are solved.

Description

technical field [0001] The invention belongs to the field of arc additive manufacturing, and relates to a welding bead modeling method, equipment and system for arc additive manufacturing, more specifically, a new method of welding bead shape modeling, and proposes a Dynamic parameter method and use it to design experiments and carry out welding bead modeling. Background technique [0002] Arc Additive Manufacturing (Wire-Arc Additive Manufacture, WAAM) is based on arcs generated by welding machines such as melting inert gas welding (MIG), tungsten inert gas welding (TIG) and plasma welding power supply (PA). The heat source, through the addition of metal wires, under the control of the program, accumulates layers on the substrate according to the set forming path, and the layers are stacked until the metal parts are nearly net-shaped. At present, the establishment of the conventional arc additive manufacturing weld bead model mainly uses the orthogonal experiment method an...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above defects or improvement needs of the prior art, the present invention provides a welding bead modeling method, equipment and system for arc additive manufacturing, the purpose of which is to use a deep learning model to represent the forming process parameters and weld bead shape At the same time, the dynamic parameter method is used in the offline training process to realize the use of different welding parameters in the same welding bead, so that multiple sets of experimental data can be obtained through one processing experiment, avoiding the need to design a set of experimental data for each set Experiments provide sufficient training data for neural network training modeling while reducing the number of experiments and experimental costs, and at the same time solve the technical problems of complex regression equation selection and parameter optimization required by traditional orthogonal experiment methods and corresponding surface methods

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