Optimization of Laser Cutting Parameters Using an Adaptive Neuro-Fuzzy Methodology
V. Nikolić, D. Petković, M. Milovančević, H. Deneva, L. Lazov and E. Teirumenieka
The aim of the study was to analyse the impact of three inputs on the laser cutting parameters and to determine which input has the highest influence on the laser cutting process. An adaptive neuro-fuzzy inference system (ANFIS) was used to determine the parameters influence on the laser cutting prediction. According to the results the cutting speed has the highest influence on the laser cutting process.
Keywords: CO2 laser, laser cutting, Taguchi method, adaptive neuro-fuzzy inference system (ANFIS), surface roughness