Estimation of Cutting Torque in Drilling System based on Flexible Neural Network

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2003, Pages 642-647

  Kim, Myeonghee ^a   Matsunaga, Nobutoma ^a   Kawaji, Shigeyasu ^a  

^a KUMAMOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); DRILLING; FUNCTIONS; TORQUE;

SIGMOID FUNCTIONS;

MULTILAYER NEURAL NETWORKS;

EID: 0141817080     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. S. Omatsu, M. Khalid, and R. Yusof, Neuro-control and its applications, Springer-Verlag, 1996.
2. K.S. Narendra, "Identification and Control of Dynamic System using Neural Networks", IEEE Trans, on Neural Networks, Vol. 1, No. 2, pp. 4-27, Jan. 1990.
3. B.Y. Lee, and Y.S. Tarng, "Cutting-parameter selection for maximizing production rate or minimizing production cost in multistage tuning operations", Journal of Materials Processing Technology, Vol. 105, pp. 61-66, 2000.
4. T.J. Ko, and H.S. Kim, "Autonomous cutting parameter regulation using adaptive modeling and genetic algorithms", Precision Engineering, Vol. 22, No. 4, pp. 243-251, 1998.
5. T. Maeda, N. Matsunaga, T. Yamada, T. Sasaoka and S. Kawaji, "In-Process Control of Cutting Torque in Drilling Process", Transactions of the Japan society of mechanical engineers, Vol. 61, 587, No. 94-1804, pp. 2945-2952, July, 1995.
6. S. Kawaji, and Y. Suenaga: "Control of cutting torque in the drilling process using disturbance observer", Proc. of the American Control Conference, Vol. 1, pp. 723-728, Seattle, America, 1995.
7. M. Teshnehlab, and K. Watanabe: "The high flexiblity and learning capability of neural networks with learning bipolar and unipolar sigmoid functions", Proc. of Japan-U.S.A Symposium on Flexible Automation, Vol. 3, pp. 1453-1460, Kobe, Japan, 1994.
8. M.A. Mannam, et. al.: "Monitoring and Adaptive Control of Cutting Process by Means of Motor Power and Current Measurement", CIRP Ann., Vol.38-1, pp.347-, 1989.
9. J.L. Stein and C.H.Wang: "Analysis of Power Monitoring on AAC Induction Spindle Systems", ASME Production Engineering Div., Vol.23, pp. 19-40, 1986.
10. R.J. Kuo: "Multi-sensor integration for on-line tool wear estimation through artificial neural networks and fuzzy neural network", Engineering Application of Artificial Intelligence, Vol. 13, pp. 249-261, 2000.
11. Q. Liu: "On-line monitoring of flank ware intuning with multilayered feed-forward neural network", Int. J. of Machine Tools and Menufacture, Vol. 39, pp. 1945-1959, 1999.
12. J.H. Lee: "One-step-ahead prediction of flank ware using cutting force", Int J. of Machine Tools and Manufacture, Vol. 39, pp. 1747-1760, 1999.
13. Y.C. Chang: "Cutting force estimation of spindle motor", Journal of Control Systems and Technology, Vol. 3, No. 2, pp. 145-152, 1995.
14. S. Kawaji, Y. Suenaga, T. Maeda, T. Yamada, N. Matsunaga and T. Sasaoka: "Estimation of cutting torque using disturbance observer", Proc. of Japan-U.S.A Symposium on Flexible Automation, pp. 249-252, Kobe, Japan, 1994.