Computational study demonstrates cycle time prediction in high-speed machining using neural networks, suggesting pathways to reduce manufacturing costs and execution times.
The main purpose of the paper is to develop a neural network application that could predict the cycle time for High Speed Machining. Increase productivity by increasing the speed of process has been imposed by the cutting progresses theory and the fields related directly to the cutting process. Thus, this procedure aims to an increasing productivity, lowering costs and execution time and also improving the quality of parts.
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Gelmereanu et al. (2014) studied this question.
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