Welding automation technology is one of the driving forces for the rapid development of industrial technology.With the world’s increasing attention to industrial technology,it has opened a new chapter for welding automation technology.Surfacing is a commonly used parts repair and material surface modification technology,with a wide range of application prospects.But at this stage the level of welding automation is low,and the overall quality is not enough.It also lacks an effective way to improve the automation in thewelding process.The magnetic resonance welding device is used to carry out data sampling,and the related technology theory is studied to solve the key problem of surface reconstruction of surfacing layer.A method of surface reconstruction of surfacing layer for automatic surfacing is proposed.In the weld arrangement deviation identification and control,the specific content is as follows:1)A magnetron rotary surfacing sensor is designed to meet the sampling requirements of the weld bead groove.Through the simulation and comparison of the behavior state of the arc in the controllable magnetic field,the sampling mode of the the magnetron arc rotation is determined.Aiming at the requirement of welding sensor under welding conditions,a magnetically controlled rotary surfacing sensor which can be used to collect the characteristic information of surfacing surface is designed by finite element magnetic field simulation.2)The mathematical model of the arc length of the bead groove is solved,and the change of the signal at different deviations is simulated and simulated.By analyzing the sampling mechanism of the magnetron rotary surfacing sensor and the influence of different welding rules on the arc shape,the arc length mathematical model is established,and the model of the magnetron rotary welding welding system is established.The simulation results show that the arc shape of the weld bead is related to the current signal.3)The method of reconstructing the surfacing layer by using the Delaunay triangulation of the interval is based on the sampling period.The three-dimensional surface model of the surfacing layer is reconstructed to identify and control the deviation of the weld.According to the sensor model and the arc length mathematical model of themagnetron rotary surfacing sensor,the sampled data points are extracted for the sampled signal,and the sampling data points and the difference points are separated by Delaunay by means of scientific calculation and visualization of the graphical analysis function of MATLAB software Triangulation.The triangular mesh model of the surfacing layer is established,and the equivalent height model is added to reconstruct the surfacing surface.By solving the Kriging interpolation algorithm,the problem of fuzzy and smoothness of the surface model is solved,and the problem of low real-time system is solved by calling the GPU core acceleration algorithm.The three-dimensional surface model of the surfacing layer is reconstructed.That can be used to identify and control the deviation of the surfacing weld arrangement,then it can achieve the automatic arrangement of the weld.4)The accuracy of the alignment of the weld bead is verified by the magnetic arc welding test.According to the proposed method of surfacing surface reconstruction,the welding experiment of the magnetron surfacing test platform is carried out.The results show that the method has high accuracy and good arrangement of weld bead. |