Prediction Model of Setting Input Parameters for Turning Operation TI-6AL-4V by Fuzzy Rule based Modeling

摘要

Titanium combinations are used in many designing fields for example chemical industrial marine and aviation because of their one of a kind properties they have high temperature capacity and high quality to weight proportion. Turning of these materials causes extreme issues. At high temperatures they turn out to be artificially dynamic and have a tendency to respond with apparatus materials. In the current study fuzzy logic is utilized for the forecast of input setting variables in turning titanium combination (Ti-6Al-4V). The variables thought-about during this work are cutting speed feed and the depth of cut. Fuzzy rule essentially based demonstrating is utilized for expectation of surface roughness and Cutting Force in machining of titanium alloy. These models are frequently adequately used to anticipate the surface roughness and Cutting Force and comparing the experimental results and predicted model outputs in machining of titanium alloys. It seems the Experimental and Fuzzy Result was observed that the Fuzzy logic idea can be utilized for making model for Machining of Titanium Alloys.