Comparison of experimental results obtained by designed dynamometer to fuzzy model for predicting cutting forces in turning

Materials and Design

Volumn 27, Issue 10, 2006, Pages 1139-1147

  Yaldiz, Suleyman ^a   Unsacar, Faruk ^a   Saglam, Haci ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

C Cutting force prediction; C Dynamometer testing; H Fuzzy modelling

Indexed keywords

ACCELEROMETERS; DYNAMICS; DYNAMOMETERS; FORCE MEASUREMENT; FUZZY SETS; MATHEMATICAL MODELS; METAL WORKING TOOLS; STRAIN GAGES;

CUTTING FORCES; DYNAMIC FORCES; DYNAMOMETER TESTING; FUZZY MODELLING;

STEEL;

ACCELEROMETERS; DYNAMICS; DYNAMOMETERS; FORCE MEASUREMENT; FUZZY SETS; MATHEMATICAL MODELS; METAL WORKING TOOLS; STEEL; STRAIN GAGES;

EID: 33746192237     PISSN: 02613069     EISSN: 18734197     Source Type: Journal    
DOI: 10.1016/j.matdes.2005.03.010     Document Type: Article

References (15)

1. Sukvittayawong S., and Inasaki I. Optimization of turning process by cutting force measurement. JSME Int J C 34 4 (1991) 546-552
2. Tlusty J., and Andrews G.C. A critical review of sensors for unmanned machining. Ann CIRP 32 2 (1983) 611-622
3. Weck M. Machine diagnostics in automated production. J Manufact Syst 2 2 (1983) 101-106
4. Balazinski M, Jemielniak K. Tool conditions monitoring using fuzzy decision support system. In: V CIRP international conference on monitoring and automatic supervision in manufacturing - AC'98, Miedzeszyn near Warsaw; 20-21 August 1998. p. 115-21.
5. Balazinski M., Czogala E., Jemielniak K., and Leski J. Tool condition monitoring using artificial intelligence methods. Eng Appl Artif Intel 15 (2002) 73-80
6. Li X., Venuvinod P.K., and Chen M.K. Feed cutting force estimation from the current measurement with hybrid learning. Int J Adv Manuf Technol 16 (2000) 859-862
7. Haber R.E., Peres C.R., Alique A., Ros S., Gonzalez C., and Alique J.R. Toward intelligent machining: hierarchical fuzzy control for the end milling process. IEEE Trans Contr Syst Technol 6 2 (1998) 188-199
8. Chang Y.C., Lee K.T., and Chuang H.Y. Cutting force estimation of spindle motor. J Contr Syst Technol 3 2 (1995) 145-152
9. Yaldi{dotless}z S, Bi{dotless}yi{dotless}k MT. Design and manufacturing method of 3D turning dynamometer. In: The conference of machine design and production technologies; Konya, 26-27 September 2003. p. 239-46.
10. Byrne G., Dornfled D., Inasaki I., Ketteler G., Konig W., and Teti R. Tool condition monitoring (TCM) - the status of research and industrial application. Ann CIRP 44 2 (1995) 541-567
11. Michalewicz Z. Genetic algorithms + data structures = evolution programs (1992), Springer, Berlin
12. Tsitouras G., and King R.E. Rule-based neural control of a mechatronic system. Int J Intel Mechatron 2 1 (1997) 1-11
13. Zadeh L.A. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans Syst Man and Cyb 3 1 (1973) 28-44
14. Ali Y.M., and Zhang L. A methodology for fuzzy modelling of engineering systems. Fuzzy Set Syst 118 2 (2001) 181-197
15. Goggos V, Stathaki A, King RE. Evolutionary computation in the design of optimized neural controllers. In: Proceedings of the ECC99, Karlsruhe; 1999. p. 1-5.