Study on Temperature Distribution Prediction of Laser Heating Based on GA-BP Neural Network
In the process of laser-assisted machining,the temperature change of the material processed have a signifi-cant impact on the machining accuracy.In order to accurately understand the physical effects caused by laser irradiation on materials,a three-dimensional heat conduction model of heat transfer between material surface and tool is established ac-cording to the actual situation of laser-assisted machining.Through finite element calculation software COMSOL Multiphys-ics,the numerical simulation of the temperature field of the processed material is established,the law of temperature rise and thermal deformation under laser irradiation is obtained.By changing the experimental parameters,the two-dimensional temperature distribution model of the workpiece under different processing conditions is obtained.On this basis,a tempera-ture distribution prediction model based on GA-BP neural network algorithm is established.The results show that the tem-perature distribution prediction model based on GA-BP neural network algorithm can quickly calculate the radial tempera-ture distribution of workpiece when the processing parameters are changed and predict the temperature distribution.The av-erage absolute error of the prediction value is 27.22K,and the correlation coefficient is 0.97.
万方数据
维普
