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Artificial neural network predictive modeling of uncoated carbide tool wear when turning NST 37.2 steel
We report the development of a predictive model based on Artificial Neural Network (ANN) for the estimation of flank and nose wear of uncoated carbide inserts during orthogonal turning of NST (Nigerian steel) 37.2. Turning experiments were conducted at different cutting conditions on a M300 Harrison...
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2012-04
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