A COMPARISON STUDY BETWEEN MODELING THE HEAT AFFECTED ZONE (HAZ) FOR THE LASER CUTTING OF TI-6AL-4V SHEETS BY USING THE ARTIFICIAL NEURAL NETWORK METHOD AND MULTI REGRESSION METHOD.

Ekhlas Jabir Mahmood

Abstract


This research presents an attempt to study the influence of laser cutting parameters which include Thickness, Lens Focal Length, Beam Power, Cutting Speed and Gas Pressure on the parameter of Heat Affected Zone (HAZ) width. Two predictive models have been developed using Artificial Neural Network (ANN) and multi regression modeling method. The relative importance of laser cutting parameters on (HAZ) width was determined based on (ANN) neuron weights and (ANOVA) method. The comparison between the experimental data with the predicted data indicated that the (ANN) model has attain accuracy of predicting (HAZ) upper than the multi regression model with a coefficient of determination (R2)=85.02%.


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