This paper was focused on intervening variables in wire cut process such as pulse on time, pulse off time, voltage, type of wire which is used in experiments, They Show that 98.9% of the observed variability in MRR could be explained by the independent variables. This means that the correlation coefficient between the observed value of the dependent variable and the predicted value based on the regression model is high as this means that the statistical model could predict the Ra with about 98.5 % and 95.9 % accuracy of the testing data set for coated wire respectively.
Case Studies
Effect of Wire Cutting Process on the Variables of Surface Roughness
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