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Experimental investigation to predict metal removal and surface roughness in wire cut process
Saad Kariem Shather
Production and Metallurgy Engineering Department, University of Technology/Baghdad
Abbas Fadhil Ibrahim
Production and Metallurgy Engineering Department, University of Technology/Baghdad
Diana Abed al kareem Noori
Production and Metallurgy Engineering Department, University of Technology/Baghdad
DOI:https://dx.doi.org/10.24237/djes.2016.09304
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ABSTRACT
This paper focuses on intervening variables in wire cut process such as pulse on time, pulse off time, voltage, type of wire which use in experiments, it finds that all values from experiments to use in statistical package of social science model. The R square pieces are (0.998). Also they Show that 99.8% of the observed variability in material removal rate can explain by the independent variables. The multiple R is 0.999 for coat wire. This means that the correlation coefficient between the observed value of the dependent variable and the predicted value base on the regression model which are high as this means that the statistical model could predict. The Ra with about 98.7 % and 96.8 % accuracy of the testing data set for coat wire respectively.
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