Determination of the parameters of two-beam laser splitting of silicate glasses using regression and neural network models

The current work takes the results of numerical experiment implemented in Ansys finite element analysis program to create neural network and regression models two-beam laser splitting silicate glasses. glass cutting have been obtained DesignXplorer module Workbench using a face-centered version central composite design. processing speed, parameters beams, plate thickness, distance between radiation refrigerant affected zones were used as variable factors. maximum temperatures thermoelastic tensile stresses area responses. artificial networks constructed trained TensorFlow package. determining treatment compared.