Prediction of Cutting Force in Turning of Ti-6Al-4V under Minimum Quantity Lubrication (MQL) using Response Surface Model and Fuzzy Logic Model

Titanium Alloy's (Ti-6Al-4V) are utilized in many manufacturing fields due to their exclusive properties. Machining of these materials has become a problem for metal cutting industries due to its chemical reaction on tool material. Thus metal cutting industries are looking forward for identifying the optimum cutting parameters during turning of Ti-6Al-4V. Hence in this paper, Response Surface Model and Fuzzy Logic model has been used to estimate and optimize cutting conditions for cutting force during turning ofTi-6Al-4Vunder Minimum Quantity Lubricant condition. From the observations of these two approaches we can conclude that Response Surface Model and Fuzzy Logic model can be effectively used for identifying the optimum cutting parameters and preventing time consuming experiments.