The main purpose of the paper is to develop a neural network application that could predict the tool-workpiece vibration. Increase efficiency by decreasing vibrations has been imposed by the cutting progresses theory and the fields related directly to the cutting process. Thus, this procedure aims to an increasing efficiency, lowering costs and execution time and also improving the quality of parts.
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