Specific cutting force coefficients modeling of end milling by neural network

Author:

Lee Sin-Young,Lee Jang Moo

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering

Reference14 articles.

1. Altintas, Y. and Ghan, Philip K., 1992, “In-Process Detection and Suppression of Chatter in Milling,”Int. J. Mach. Tool Des. Res., Vol. 32, No. 3, pp. 329–347.

2. Asakawa, K., Watanabe, N., Kawamura, A., Masuoka, R., Tanahashi, J., and Yamada, H., 1990, “Functions of Multi-Layered Neural Networks and their Fast Learning Algorithm,”Trans. of IEE (Japan), Vol. 110-C, No. 3, pp. 141–146.

3. Ber, A., Rotberg, J. and Zombach, S., 1988, “A Method for Cutting Force Evaluation of End Mills,”Annals of the CIRP, Vol. 37/1, pp. 37–40.

4. Boothroyd, G., 1981,Fundamentals of Metal Machining and Machine Tools, McGraw-Hill International Book Co.

5. Chong, K. T. and Parlos, A. G., 1997, “Comparison of Traditional and Neural Network Approaches to Stochastic Nonlinear System Identification,”KSME International Journal, Vol. 11, No. 3, pp. 267–278.

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