Multi Response Prediction Of Machining Process Parameters Using Artificial Neural Network

Wire cut discharge machining is a progressed machining strategy controlled by an outsized scope of assortment of interrelated complex pulse on time, pulse off time and servo speed rate. Any slight variations in one will have an exertion on the machining execution material removal rate. This paper presents a consistent way to deal with optimize Wire EDM response parameters for the aluminum metal matrix composites utilizing ANN strategies. In the present work aluminum 7075 is utilized as matrix and activated carbon as reinforcement metal matrix composites. 27 trails of investigations in light of response surface procedure are done and the perceptions are made. ANN was produced depending on back propagation for expectation of the numerous reactions. The ANN was consequently prepared with test information. Testing of the ANN is done utilizing exploratory information not utilized amid preparing. The outcomes demonstrates that the results of information; this shows the created neural system can be utilized as an option path for figuring response parameters for given process parameters.