TSK-type FLC using a combined LR and GA: Surface roughness prediction in ultraprecision turning

Journal of Materials Processing Technology

Volumn 178, Issue 1-3, 2006, Pages 200-210

  Nandi, Arup Kumar ^a  

^a CSIR CENTRAL MECHANICAL ENGINEERING RESEARCH INSTITUTE   (India)

Author keywords

Fuzzy logic controller; Genetic algorithm; Linear regression; Surface roughness; TSK type fuzzy rule; Ultraprecision turning

Indexed keywords

CONTROL EQUIPMENT; CUTTING; GENETIC ALGORITHMS; MACHINE TOOLS; MATHEMATICAL MODELS; SURFACE ROUGHNESS; TURNING;

FUZZY LOGIC CONTROLLERS; LINEAR REGRESSION; TSK-TYPE FUZZY RULE; ULTRAPRECISION TURNING;

FUZZY CONTROL;

EID: 33746706173     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2006.03.164     Document Type: Article

References (23)

1. Taraman K., and Lambert B. A surface roughness model for a turning operation. Int. J. Prod. Res. 12 (1974) 691-703
2. Draper N.R., and Smith H. Applied Regression Analysis. second ed. (1981), John Wiley & Sons, Inc., New York
3. Choudhury I.A., and EI-Baradie M.A. Surface roughness prediction in the turning of high-strength steel by factorial design of experiments. J. Mater. Process. Technol. 67 1-3 (1997) 55-61
4. Lee B.Y., and Tarng Y.S. Surface roughness inspection by computer vision in turning operations. Int. J. Mach. Tools Manuf. 41 9 (2001) 1251-1263
5. Abouelatta O.B., and Madl J. Surface roughness prediction based on cutting parameters and tool vibrations in turning operations. J. Mater. Process. Technol. 118 (2001) 269-277
6. Lin W.S., Lee B.Y., and Wu C.L. Modeling the surface roughness and cutting force for turning. J. Mater. Process. Technol. 108 3 (2001) 286-293
7. Cheung C.F., and Lee W.B. A theoretical and experimental investigation of surface roughness formation in ultra-precision diamond turning. Int. J. Mach. Tools Manuf. 40 7 (2000) 979-1002
8. Cheung C.F., and Lee W.B. A multi-spectrum analysis of surface roughness formation in ultra-precision machining. Precision Eng. 24 (2000) 77-87
9. Yang W.H., and Tarng Y.S. Design optimization of cutting parameters for turning operations based on the Taguchi method. J. Mater. Process. Technol. 84 1-3 (1998) 122-129
10. Zhang G., and Gopalakrishnam S. Fractal geometry applied to on-line monitoring of surface finish. Int. J. Mach. Tools Manuf. 36 10 (1996) 1137-1150
11. Grzesik W., and Brol S. Hybrid approach to surface roughness evaluation in multistage machining processes. J. Mater. Process. Technol. 134 2 (2003) 265-272
12. Risbood K.A., Dixit U.S., and Sahasrabudhe A.D. Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process. J. Mater. Process. Technol. 132 1-3 (2003) 203-214
13. Mainsah E., and Ndumu D.T. Neural network application in surface topography. Int. J. Mach. Tools Manuf. 38 5-6 (1998) 591-598
14. Ho S., Lee K., Chen S., and Ho S. Accurate modeling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system. Int. J. Mach. Tools Manuf. 42 13 (2002) 1441-1446
15. Zadeh L.A. Fuzzy sets. Inform. Control 8 (1965) 338-353
16. Kosko B. Neural Networks and Fuzzy Systems (1994), Prentice-Hall, New Delhi, India
17. Nandi A.K., and Pratihar D.K. Design of a genetic-fuzzy system to predict surface finish and power requirement in grinding. J. Fuzzy Sets Sys. 148 3 (2004) 487-504
18. A.K. Nandi, D.K. Pratihar, An expert system based on FBFN using a GA to predict surface finish in ultraprecision turning, in: Proceedings of the International Conference on Advances in Materials and Processing Technologies (AMPT2003), July 8-11, DCU, Ireland, 2004, pp. 321-324.
19. Mamdani E.H., and Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man-Mach. Stud. 7 (1975) 1-13
20. Sugeno M., and Kang G.T. Structure identification of fuzzy model. J. FSS 28 1 (1988) 15-33
21. Takagi T., and Sugeno M. Fuzzy identification of systems and its application to modelling and control. IEEE Trans. Syst. Man Cybern 15 1 (1985) 116-132
22. Nandi A.K., and Pratihar D.K. Automatic deign of fuzzy logic controller using a genetic algorithm-to predict power requirement and surface finish in grinding. J. Mater. Process. Technol. 148 3 (2004) 288-300
23. Hongxiang W., Da L., and Shen N.D. Surface roughness prediction model for ultra-precision turning aluminum alloy with a single crystal diamond tool. Chin. J. Mech. Eng. 15 (2002) 153-156, 176