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

Abstract

This research presents an attempt to study the influence of laser cutting parameters such as thickness, Lens Focal Length, Beam Power, Cutting Speed and Gas Pressure on the Heat Affected Zone (HAZ) width. Two predictive models were 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 and the predicted data indicats that the (ANN) model has attain an accuracy for predicting (HAZ) more than the multi regression model with a coefficient of determination of (R2)=85.02%.