Analysis of the Laser Forming of Shaped Surfaces Using the Adaptive Neuro-fuzzy Technique

Abstract

Three-dimensional (3-D) shape modelling from a flat sheet by lasers needs numerous irradiations along surface paths with different parameters of heating. In this study it was attempted to form a three-dimensional shaped surface by laser. The main aim of the study was to analyse the impact of various machining parameters like laser power, scan speed and spot diameters on the surface modelling process. Adaptive neuro-fuzzy inference system (ANFIS) and variable selection procedure was used in order to determine the parameters influence on the surface heights prediction. The selection procedure was done to obtain the found the process parameters which has the highest influence on the surface heights. The method can produce results to simplify the surface heights prediction.