Development of family of artificial neural networks for the prediction of cutting tool condition
Recently, besides regression analysis, artificial neural networks (ANNs) are increasingly used to predict the state of tools. Nevertheless, simulations trained by cutting modes, material type and the method of sharpening twist drills (TD) and the drilling length from sharp to blunt as input paramete...
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Veröffentlicht in: | Advances in production engineering & management 2020-06, Vol.15 (2), p.164-178 |
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