Fuzzy model and hierarchical fuzzy control integration: An approach for milling process optimization

Computers in Industry

Volumn 39, Issue 3, 1999, Pages 199-207

  Peres, Clodeinir Ronei ^a   Guerra, Rodolfo Elias Haber ^b   Haber, Rodolfo Haber ^b   Alique, Angel ^c   Ros, Salvador ^c  

^a FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

^b UNIVERSIDAD DE ORIENTE   (Cuba)

^c Institute of Physical and Information Technologies   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER CONTROL; FUZZY CONTROL; FUZZY SETS; HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; MILLING (MACHINING); OPTIMIZATION;

END MILLING PROCESSES;

COMPUTER INTEGRATED MANUFACTURING;

EID: 0032677982     PISSN: 01663615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0166-3615(98)00136-5     Document Type: Article

References (9)

1. T.R. Aggarwal, General theory and its application in high-speed milling of aluminum, in: R.I. King (Ed.), Handbook of High Speed Machining Technology, New York (1985) pp. 197-240.
2. M.T. Dos Santos, C.R. Peres, S.T. Ros, J.R. Alique, A. Alique, C. González, End-milling force analysis under fuzzy logic control, ISRAM '96 - Sixth International Symposium on Robotics and Manufacturing - Second World Automation Congress (1996).
3. R. Haber, Control Borroso, Monografía, Instituto Superior Politécnico, 'J.A. Mella', Santiago de Cuba (1992).
4. R. Haber, C.R. Peres, J.R. Alique, S.T. Ros, Fuzzy supervisory control of end-milling process, Joint Conference on Information Sciences - 3rd Annual Conference on Fuzzy Theory and Technology/USA, Session XIII (1994) pp. 212-215.
5. R. Haber, C.R. Peres, J.R. Alique, S.T. Ros, A. Alique, Two approaches for a fuzzy supervisory control system of a vertical milling machine, VI IFSA - World Congress, Vol. 1, São Paulo, Brazil (1995) pp. 397-400.
6. R. Pérez, A. Ortiz, Regulador fuzzy, Internal Report, Instituto Superior Politécnico, 'J.A. Mella', Santiago de Cuba (1987) in Spanish.
7. C. Rodríguez, R. Haber, S. Ros, J.R. Alique, Aplicación de Técnicas de Modelado Borroso al Conocimiento del Proceso de Corte en Máquinas Herramienta, X Congreso de Investigación, Diseño y Utilización de Máquinas-Herramientas (1994).
8. Y. Fukuyama, M. Sugeno, A new method of choosing the number of clusters for Fuzzy C-Means method, Proc. 5th Fuzzy System Symp., Japan (1989) pp. 247-250, in Japanese.
9. Tlusty J., MacNeil P. Dynamics of cutting forces in the end-milling. Annals of CIRP. 24(1):1975;21-25.