Prediction of flank wear by using back propagation neural network modeling when cutting hardened H-13 steel with chamfered and honed CBN tools

Author:

Özel Tugrul,Nadgir Abhijit

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference16 articles.

1. S.V.T. Elanayar, Y.C. Shin, Machining condition monitoring for automation using neural networks, in: ASME Winter Annual Meeting, Dallas, TX, USA, 1990, pp. 85–100.

2. R.G. Khanchustambham, G.M. Zhang, A neural network approach to on-line monitoring of turning process, in: International Joint Conference on Neural Networks, Baltimore, Maryland, 1992, pp. 889–894.

3. S.V.T. Elanayar, Y.C. Shin, Robust tool wear estimation via radial basis function neural networks, in: ASME Winter Annual Meeting, Anaheim, CA, USA, 1992, pp. 37–51.

4. A back-propagation algorithm applied to tool wear monitoring;Purushothaman;International Journal of Machine Tools and Manufacturing,1994

5. Sensing tool breakage in face milling with a neural network;Tarng;International Journal of Machine Tools and Manufacturing,1994

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