Investigation and Prediction of MRR in ECM Process Using Taguchi Method
This paper studies prediction the values of material removal rate (MRR) of A7025 Al-Alloy in Electro-chemical operations. It is operation which the material removal rate is machined with elevation spark in the midst workpiece and electrode sunken through dielectric solution.
Through theory of Taguchi found that the accuracy of the measured and prediction values that have been is 93% for the MRR. The effect of different Electro-chemical machining (ECM) factors are (current, Gap and Electrolyte concentration) to predict the (material removal rate). Note that connected pole that was used is copper. By use analysis of variance method (ANOVA) found that large parameter influence on MRR is current 75% and Gap 15%. The least influential factor in material removal rate is Electrolyte concentration with 0.2%.