Prediction of metal removal rate and surface roughness in electrochemical machining (ECM)‎

Abstract EN

Electrochemical Machining (ECM) is a relatively important method of removing metal by anodic dissolution.

In this research the ECM was used to remove the metals from the internal hole of the work piece.

The tool used was made from brass.

This research focuses on the parameters of the change in gap size, the change in current density, and the change of the tool roughness on the Material Removal Rate (MRR).

And Surface Roughness of the work piece.

The Statistical Package for Social Science (SPSS) software was used to predict the results.

It was found that for the surface roughness the coefficient of determination of the prediction was (0.982) and the accuracy of prediction (97.15 %).

For the Material Removal Rate in (g / sec) units the coefficient of determination of predicts was (0.991) with accuracy of prediction (98.29 %).