An investigation of modeling of the machining database in turning operations

Journal of Materials Processing Technology

Volumn 105, Issue 1-2, 2000, Pages 1-6

  Lee, B Y ^a   Tarng, Y S ^b   Lii, H R ^c  

^a NATIONAL FORMOSA UNIVERSITY   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^c CHUNG SHAN INSTITUTE OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Machining database; Modeling; Polynomial networks; Turning

Indexed keywords

COMPUTER SIMULATION; CUTTING TOOLS; DATABASE SYSTEMS; MATHEMATICAL MODELS; POLYNOMIALS; SURFACE ROUGHNESS;

MACHINING DATABASES;

TURNING;

EID: 0034273196     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0924-0136(00)00535-5     Document Type: Article

References (18)

1. W.S. Lau, P.K. Venuvinod, C. Rubenstein, The relation between tool geometry and the Taylor tool life constant, Int. J. Mach. Tool Design Res. 20 (1) (1980) 29-44.
2. A.M. Abuelnaga, M.A. El-Dardiry, Optimization methods for metal cutting, Int. J. Mach. Tool Design Res. 24 (1) (1984) 11-18.
3. G. Boothroyd, W.A. Knight, Fundamentals of Machining and Machine Tools, Marcel Dekker, New York, 1989, pp. 197-199.
4. C. Zhou, R.A. Wysk, An integrated system for selecting optimum cutting speeds and tool replacement times, Int. J. Mach. Tools Manufacture 32 (5) (1992) 695-707.
5. B. White, A. Houshyar, Quality and optimum parameter selection in metal cutting, Comput. Ind. 20 (1992) 87-98.
6. M.S. Chua, M. Rahman, Y.S. Wong, H.T. Loh, Determination of optimal cutting conditions using design of experiments and optimization techniques, Int. J. Mach. Tools Manufacture 33 (2) (1993) 297-305.
7. G. Chryssolouris, M. Guillot, A comparison of statistical and AI approaches to the selection of process parameters in intelligent machining, ASME J. Eng. Ind. 112 (1990) 122-131.
8. H.V. Ravindra, M. Raghunandan, Y.G. Srinivasa, R. Krishnamurthy, Tool wear estimation by group method of data handling in turning, Int. J. Prod. Res. 32 (1994) 1295-1312.
9. Y.S. Tarng, T.C. Wang, W.N. Chen, B.Y. Lee, The use of neural networks in predicting turning force, J. Mater. Proc. Technol. 47 (1995) 273-289.
10. Y.S. Tarng, S.C. Ma, L.K. Chung, Determination of optimal cutting parameters in wire electrical discharge machining, Int. J. Mach. Tools Manufacture 35 (12) (1995) 1693-1701.
11. B.Y. Lee, H.S. Liu, Y.S. Tarng, Modeling and optimization of drilling process, J. Mater. Proc. Technol. 74 (1998) 149-157.
12. A.G. Ivakhnenko, Polynomial theory of complex systems, IEEE Trans. Syst. Man Cybernetics 1 (4) (1971) 364-378.
13. G.E. Fulcher, D.E. Brown, A polynomial network for predicting temperature distributions, IEEE Trans. Neural Networks 5 (3) (1994) 372-379.
14. G.J. Montgomery, K.C. Drake, Abductive reasoning network, Neurocomputing 2 (1991) 97-104.
15. A.R. Barron, Predicted squared error: a criterion for automatic model selection, in: S.J. Farlow (Ed.), Self-Organizing Methods in Modeling: GMDH Type Algorithms, Marcel Dekker, New York, 1984.
16. S.J. Farlow, The GMDH algorithm, in: S.J. Farlow (Ed.), Self-Organizing Methods in Modeling: GMDH Type Algorithms, Marcel Dekker, New York, 1984.
17. G.A. Miller, The magic number seven, plus or minus two: some limits on our capacity for processing information, Psychol. Rev. 63 (1956) 81-97.
18. M.C. Shaw, Metal Cutting Principle, Oxford University Press, New York, 1984.