Abstract
The studied work aimed to develop the predictive models of removal rate of WC-Co composite material in WEDM. Back prorogation algorithm of ANN is used to predict the MRR in WEDM of WC-Co. The training and testing data were collected by performing WEDM experiments on work piece material of WC-Co as per FCC composite design, containing five control factors like peak current, wire tension, pulse on-duration, servo voltage and pulse off-duration, and material removal rate were considered as the performance measure. ANN model has been developed with less than 0.05 error and correlation coefficient R2 of testing-0.95871 and validation-0.9968 to forecast the value of MRR.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
