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Optimization of turning NST 37.2 steel with uncoated carbide cutting tools

Selection of optimimum machining parameters is an essential factor in process planning for efficient metal cutting operations. In this study, an artificial neural network based tool wear predictive model and a genetic algorithm-based optimization model were developed to determine the optimum cutting...

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Format: Article
Published: 2010
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