Multi-objective parametric optimization on machining with wire electric discharge machining

International Journal of Advanced Manufacturing Technology

Volumn 62, Issue 5-8, 2012, Pages 617-633

  Kumar, Kapil ^a   Agarwal, Sanjay ^a  

^a BUNDELKHAND INSTITUTE OF ENGINEERING AND TECHNOLOGY   (India)

Author keywords

Multi objective genetic algorithm; Taguchi technique; WEDM

Indexed keywords

INDUSTRIAL SETTINGS; MACHINING CONDITIONS; MACHINING PARAMETERS; MANUFACTURING INDUSTRIES; MATERIAL REMOVAL RATE; METAL REMOVAL RATE; MULTI OBJECTIVE; MULTI-OBJECTIVE GENETIC ALGORITHM; NON-DOMINATED SORTING; NON-LINEAR REGRESSION ANALYSIS; OPERATING CONDITION; PARAMETRIC OPTIMIZATION; PARETO OPTIMAL SOLUTIONS; PEAK CURRENTS; PERFORMANCE MEASURE; QUALITY DEMANDS; SURFACE FINISHES; TAGUCHI TECHNIQUE; TAGUCHI'S PARAMETER DESIGN; TRIAL-AND-ERROR METHOD; WEDM; WIRE ELECTRIC DISCHARGE MACHINING; WIRE TENSION;

ELECTRIC NETWORK PARAMETERS; FINISHING; INDUSTRIAL RESEARCH; MACHINERY; MACHINING CENTERS; MATHEMATICAL MODELS; MULTIOBJECTIVE OPTIMIZATION; REGRESSION ANALYSIS; WIRE;

ELECTRIC DISCHARGE MACHINING;

EID: 84867098407     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-011-3833-1     Document Type: Article

References (33)

1. Ho KH, Newman ST, Rahimifard S, Allen RD (2004) State of art in wire electrical discharge machining. Int J Mach Tools Manuf 44:1247-1259
2. Warren Liao T, Chen LJ (1998) Manufacturing process modeling and optimization based on multi-layer perceptron network. Trans ASME, J Manuf Sc Engg 120:109-119
3. Ilhan Gokler M, Mithat Ozanozgu A (2000) Experimental investigation of effects of cutting parameters on surface roughness in the WEDM process. Int J Mach Tools Manuf 40:831-1848
4. Pei-Jen W, Kuo-Ming T (2001) Semi-empirical model on work removal and tool wear in electrical discharge machining. J Mater Process Technol 114:1-17
5. Lin JL, Lin CL (2002) The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics. Int J Mach Tools Manuf 42:237-244
6. Lin CL, Lin JL, Ko TC (2002) Optimization of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. Int J Adv Manuf Tech 19:271-277
7. Narender Singh P, Raghunandan K, Pai BC (2004) Optimization by grey relational analysis of EDM parameters on machining Al-10% SiCP composites. J Mater Process Technol 155-156:1658-1661
8. Ko-Ta C, Fu-Ping C (2006) Optimization of the WEDM process of particle-reinforced material with multiple performance characteristics using grey relational analysis. J Mater Process Technol 180:96-101
9. Yih-fong T, Fu-chen C (2007) Multi-objective objective optimization of high-speed electrical discharge machining process using a Taguchi fuzzy-based approach. Mater Des 28:1159-1168
10. Yih-fong T (2008) Development of a flexible high-speed EDM technology with geometrical transform optimization. J Mater Process Technol 203:355-364
11. Scott D, Bovina S, Rajurkar KP (1991) Analysis and optimization of parameter combinations in wire electrical discharge machining. Int J Prod Res 29(11):2189-2207
12. Tarng YS, Ma SC, Chung LK (1995) Determination of optimal cutting parameters in wire electrical discharge machining. Int J Mach Tools Manuf 35:1693-1701
13. Spedding TA, Wang ZQ (1997) Study on modeling of wire EDM process. J Mater Process Technol 69:18-28
14. Huang JT, Liao YS, Hsue WJ (1999) Determination of finish cutting operation number and machining parameters setting in wire electrical discharge machining. J Mater Process Technol 87:69-81
15. Ramakrishnan R, Karunamoorthy L (2004) Surface roughness model for CNC wire electro discharge machining. J Manuf Tech Today 3(5):8-11
16. Hewidy MS, El-Taweel TA, El-Safty MF (2005) Modeling the machining parameters of wire electrical discharge machining of Inconel 601 using RSM. J Mater Process Technol 169:328-336
17. Sarkar S, Mitra S, Bhattacharyya B (2006) Parametric optimization of wire electrical discharge machining of γ titanium aluminide alloy through an artificial neural network model. Int J Adv Manuf Tech 27:501-508
18. Manna A, Bhattacharyya B (2006) Taguchi and Gauss elimination method: a dual response approach for parametric optimization of CNC wire cut EDM of PRAlSiC MMC. Int J Adv Manuf Tech 28:67-75
19. Han F, Jiang J, Dingwen Yu (2007) Influence of machining parameters on surface roughness in finish cut of WEDM. Int J Adv Manuf Tech 34:538-546
20. Ko-Ta C (2008) Modeling and analysis of the effects of machining parameters on the performance characteristics in the EDM process of Al2O3+TiC mixed ceramic. Int J Adv Manuf Tech 37(5-6):523-533
21. Jin-Yuan WK, Tao Yu, Minglun F (2008) Reliable multi-objective optimization of high-speed WEDM process based of Gaussian process regression. Int J Mach Tools Manuf 48:47-60
22. Ramakrishnan R, Karunamoorthy L (2008) Modeling and multi-response optimization of Inconel 718 on machining of CNC WEDM process. J Mater Process Technol 207:343-349
23. Sarkar S, Sekh M, Mitra S, Bhattacheryya B (2008) Modeling and optimization of wire electrical discharge machining of β-TiAl in trim cutting operation. J Mater Process Technol 205:376-387
24. Jain NK, Jain VK, Jha S (2007) Parametric optimization of advanced fine finishing processes. Int J Adv Manuf Tech 34(11-12):1191-1213
25. Sardiñas RQ, Santana MR, Brindis EA (2006) Genetic algorithm based multi-objective optimization of cutting parameters in turning processes. Engg App Artif Intell 19:127-133
26. Fonseca Carlos M, Fleming Peter J (1993) Genetic algorithms for multiobjective optimization: formulation, discussion, and generalization. In: Proceedings of the Fifth International Conference on Genetic Algorithms, 01 June, Kaufmann, San Mateo, pp 416-423
27. Horn J, Nafploitis N, Goldberg D E (1994) A niched Pareto genetic algorithm for multiobjective optimization. In: Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, vol 1, 27-29 June, pp 82-87
28. Zitzler E, Thiele L (1998) Multi-objective optimization using evolutionary algorithms-A comparative case study. In: Eiben AE, Bäck T, Schoenauer M, Schwefel HP (eds) Parallel problem solving from nature. Springer, Berlin, pp 292-301
29. Srinivas N, Deb K (1994) Multi-objective function optimization using non-dominated sorting genetic algorithms. Evol Comput 2:221-248
30. Mahapatra SS, Patnaik A (2007) Optimization of wire electrical discharge machining (WEDM) process parameters using Taguchi method. Int J Adv Manuf Tech 34(9-10):911-925
31. Phadke MS (1989) Quality engineering using robust design. Prentice Hall, Eaglewood Cliffs
32. Deb K (2002) Multi-objective optimization using evolutionary algorithms. Wiley, Singapore
33. Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):187-192