Determination of the minute range for RSM to select the optimum cutting conditions during turning on CNC lathe

Journal of Mechanical Science and Technology

Volumn 24, Issue 8, 2010, Pages 1637-1645

  Lee, Hyun Wook ^a   Kwon, Won Tae ^a  

^a University of Seoul   (South Korea)

Author keywords

Artificial neural network (ANN); Region reducing algorithm; Response surface method (RMS); Taguchi method

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK (ANN); CNC LATHE; CONTROL FACTORS; CUTTING CONDITIONS; NON-LINEARITY; OPTIMUM VALUE; RESPONSE SURFACE METHOD; RESPONSE SURFACE METHOD (RMS); WORK MATERIAL;

ALGORITHMS; DESIGN OF EXPERIMENTS; LATHES; NUMERICAL CONTROL SYSTEMS; SURFACE PROPERTIES; TAGUCHI METHODS; TURNING;

NEURAL NETWORKS;

EID: 77955301910     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12206-010-0520-3     Document Type: Article

References (12)

1. th edition), New York Wiley, USA (2001).
2. I. Mukherjee and K. R. Pradip, A review of optimization techniques in metal cutting processes, Computers & Industrial Engineering, 50 (2006) 15-34.
3. H. C. Zang and S. H. Huang, Application of neural network in manufacturing-a state of art survey, International Journal of Production Research, 33(3) (1995) 705-728.
4. M. S. Phadke, Quality engineering using robust design, New Jersey, AT& T Bells Laboratory/Prentice Hall (1989).
5. S. Shaji and V. Radhakrisnan, Analysis of process parameters in surface grinding with graphite as lubricant based on Taguchi method, Journal of Material Process Technology (2003) 1-9.
6. A. Y. Youssef, Y. Beauchamp and M. Thomas, Comparison of a full factorial experiment to fractional and Taguchi's method in a lathe dry turning operation, Computer and Industrial Engineering, 27(1-4) (1994) 59-62.
7. K. Fuh and H. Chang, An accuracy model for the peripheral milling of aluminum alloys using response surface design, Journal of Materials Processing Technology, 72 (1997) 42-47.
8. S. H. Lee and B. M. Kwak, Development of an optimization algorithm based on the Taguchi method, KSME spring conference (2001) 565-571.
9. G. E. P. Box, Discussion of off-line quality control, parameter design, and the Taguchi method' by R. N. Kackar, Jour. of Quality Tech., 17 (1985) 189-190.
10. G. G. Vining and R. H. Myers, Combining Taguchi and response surface philosophies: A dual response approaches, Jour. of Quality Tech., 22(1) (1990) 38-45.
11. S. L. C. Ferreira, R. E. Bruns, H. S. Ferreira, G. D. Matos, J. M. David, G. C. Brandao, E. G. P. Da Silva, L. A. Portugal, P. S. dos Reis, A. S. Souza and W. N. L. dos Santos, Box-Behnken design: An alternative for the optimization of analytical methods, Analytica Chimica Acta 597 (2007) 179-186.
12. J.-S. Kwak, Application of Taguchi and response surface methodologies for geometric error in surface grinding process, International Journal of Machine Tools & Manufacture, 45 (2005) 327-334.