Optimization of Wire-cut EDM process parameters using TLBO algorithm

Abstract The novelty of the work is reflected in using Teaching Learning Based Optimization as metaheuristic algorithm combination with Response Surface Methodology for achieving multi response optimization two conflicting responses while machining Incoloy 800H on Wire cut EDM. It used materials and equipment furnace, petrochemical furnace cracker tubes, pigtails headers, electric heating element sheathing. There are a number process parameters EDM which affect output responses. Here, effects Pulse On Time, Off Peak Current Servo Voltage Cutting Rate Dimensional Deviation were studied. Experiments performed according to Box Behnken design 29 experiemental runs. Time was found be most significant factor affecting envisaged by Analysis Variance . First, single Algorithm resulted an optimal level setting Time-120mu, Time-45 mu, Current-200A, Voltage-47V corresponding Rate, whereas, Time-35 Current-160 A, Voltage-30V formed factors Deviation. Multi-response Time-120 Time-38 Current-190 Voltage-53 V both Then, settings multi-response optimizations confirmed through three confirmation tests. average tests compared predicted value percentage error calculated. comes out less than 5% all cases.