MODELING OF MACHINING PROCESS USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) TO PREDICT PROCESS OUTPUT VARIABLES: A REVIEW

Machining process output cutting parameters are function of input cutting parameters. Prediction of output cutting parameters results into the saving in time and cost of manufacturing the product. Machinability is an important property of material. It is about cutting the material with maximum material removal shortest time, maximum tool life and best surface finish. The high quality of surface finish is very important to meet market requirements. Recently to achieve objective of lesser prediction error many researchers are using adaptive neuro fuzzy inference system (ANFIS). This paper reviews the application of adaptive neuro fuzzy inference system for prediction of output variables in milling and turning machining processes.