Parameter selection based on surface finish in high-speed end-milling using differential evolution

Materials and Manufacturing Processes

Volumn 21, Issue 4, 2006, Pages 341-347

  Saikumar, S ^a   Shunmugam, M S ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

Author keywords

Differential evolution algorithm; End milling; Genetic algorithm; High speed machining; Response surface methodology; Surface finish

Indexed keywords

FUNCTION EVALUATION; GENETIC ALGORITHMS; MILLING (MACHINING); PARAMETER ESTIMATION; SURFACE STRUCTURE;

DIFFERENTIAL EVOLUTION ALGORITHM; END-MILLING; HIGH-SPEED MACHINING; RESPONSE SURFACE METHODOLOGY; SURFACE FINISH;

FINISHING;

EID: 33645717057     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426910500411546     Document Type: Article

References (22)

1. Turkovich, B.F. von. Influence of Very High Cutting Speed on Chip Formation Mechanics. In Proceedings of 7th North American Metalworking Res. Conf., 1979; SME Trans, 241-247.
2. Flom, D.J. Innovations in Materials Processing. High Speed Machining; Plenum Press: New York, 1985; 417-439.
3. Komanduri, R.; Schroeder, T. On the catastrophic shear instability in high-speed machining of an AISI 4340 steel. Trans. ASME, J. Engg. Industry 1982, 104, 121-131.
4. Schulz, H.; Abele, E.; Sahm, A. Material aspects of chip formation in HSC machining. Ann. CIRP 2001, 50 (1), 45-48.
5. Tony, S.; Matthew, D. The application of high-speed CNC machining to prototype production. Int. J. Mach. Tools & Manuf. 2001, 41, 1209-1228.
6. Sundaram, R.M.; Lambert, B.K. Mathematical models to predict surface finish in fine turning of steel, parts 1 & 2. Int. J. Prod. Res. 1981, 19, 547-564.
7. Mittal, A.; Mehta, M. Surface finish prediction models for fine turning. Int. J. Prod. Res. 1988, 26 (12), 1861-1876.
8. Ghani, J.A.; Chowdhury, I.A. Application of Taguchi method in the optimization of end-milling parameters. J. Mat. Process. Technol. 2004, 145 (1), 84-92.
9. Benardos, P.G.; Vosniakos, G.C. Prediction of surface roughness in CNC face milling using neural networks and Taguchi design of experiments. J. Robot & Comput. Integ. Manuf. 2002, 18, 343-351.
10. Monostori, L.; Egresiti, C. Modeling and Monitoring of Milling Through Neuro-Fuzzy Techniques, In Proceedings of IFAC Workshop Intell. Manuf. Syst., 1994, Wienna, 1994; 381-386.
11. Rad-Tolouei, M.; Bidhendi, I.M. On the optimization of machining parameters for milling operations. Int. J. Mach. Tools & Manuf. 1997, 37 (1), 1-16.
12. Sonmez, A.I.; Baykasoglu, A.; Dereli, T.; Filiz, I.H. Dynamic optimization of multipass milling operations via geometric programming. Int. J. Mach. Tools & Manuf. 1999, 39 (2), 297-320.
13. Michalewicz, Z.; Shoenauer, M.; Evolutionary algorithms for constrained parameter optimization problems. Evolutionary Computation 1996, 4 (1), 1-32.
14. Yanming Liu; Chaojun Wang. A modified genetic algorithm based optimization of milling parameters. Int. J. Manuf. Technol. 1999, 15, 796-799.
15. Shunmugam, M.S.; Bhaskara Reddy, S.V.; Narendran, T.T. Selection of optimal conditions in multi-pass face-milling using a genetic algorithm. Int. J. Mach. Tools & Manuf. 2000, 40 (3), 401-414.
16. Khan, Z.; Prasad, B.; Singh, T. Machining condition optimization by genetic algorithms and simulated annealing. Comp. Oper. Res. 1997, 24 (7), 647-657.
17. Alauddin, M.; El Baradie, M.A.; Hashmi, M.S.J. Optimization of surface finish in end-milling Inconel 718. J. Mat. Process. Technol. 1996, 56, 54-65.
18. Suresh, P.V.S.; Venkateswara Rao, P.; Deshmukh. S.G. A genetic algorithmic approach for optimization of surface roughness prediction model. Int. J. Mach. Tools & Manuf. 2002, 42, 675-680.
19. Ross, P.J. Taguchi Techniques for Quality Engineering; McGraw Hill Int.: Singapore, 1987.
20. Myers, R.H.; Montogmery D.C. Response Surface Methodology; John Wiley and Sons: New York, 1995.
21. Goldberg, D.E. Genetic Algorithms in Search, Optimization & Machine Learning; Addison-Wesley: Massachusetts, 1989.
22. Storn, R.; Price, K. Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces. J. Global Optimization 1997, 11, 341-359.