ANFIS APPLICATION IN THE PREDICTION OF SURFACE ROUGHNESS WHEN GRINDING TITANIUM ALLOYTI-6AL-4V

Abstract

Titanium Ti-6Al-4V alloy is extremely difficult to machine. In this investigation, ANFIS (Adaptive Neural Fuzzy Inference System) is used to predict the roughness of ground surface according to some factors such as wheel speed, wheel grain size and coolant type. Comparisons between model's output  and experimental results, and between ANFIS's output and Taguchi's one show that ANFIS can predict surface roughness accurately, allowing to confirm the reliability of the model.