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This document describes a study that used the Taguchi method to optimize process parameters for CNC turning of an aluminum alloy. The parameters investigated were spindle speed, depth of cut, and feed rate at three levels each. Experiments were conducted according to an L9 orthogonal array. Regression modeling was used to develop polynomial equations relating the parameters to surface roughness and material removal rate. The equations could predict these output values and identify the optimal parameter sett

Author

esatjournals

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EN