Optimization of wire electrical discharge machining for pure tungsten using a neural network integrated simulated annealing approach

Expert Systems with Applications

Volumn 37, Issue 10, 2010, Pages 7147-7153

  Chen, Hsien Ching ^a   Lin, Jen Chang ^b   Yang, Yung Kuang ^b   Tsai, Chih Hung ^c  

^a CHUNG HUA UNIVERSITY   (Taiwan)

^b MINGHSIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^c YUANPEI UNIVERSITY   (Taiwan)

Author keywords

ANOVA; Neural network; Optimization; Simulated annealing

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; ELECTRIC DISCHARGE MACHINING; ELECTRIC DISCHARGES; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION; SIMULATED ANNEALING; TUNGSTEN;

BACK-PROPAGATION NEURAL NETWORKS; OPTIMAL PARAMETER SETTINGS; PROCESS CONDITION; PROCESS PARAMETERS; ROUGHNESS AVERAGES; SIMULATED ANNEALING ALGORITHM(SAA); TAGUCHI ORTHOGONAL ARRAYS; WIRE ELECTRICAL DISCHARGE MACHINING;

ANALYSIS OF VARIANCE (ANOVA);

EID: 80052115365     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.04.020     Document Type: Article

References (18)

1. Basheer, A. C., Dabade, U. A., Joshi, S. S., Bhanuprasad, V. V., & Gadre, V. M. (2008). Modeling of surface roughness in precision machining of metal matrix composites using ANN. Journal of Materials Processing Technology, 197, 439-444. (Pubitemid 350251127)
2. Cao, X., Xiao, M., Jahazi, M., Fournier, J., & Alain, M. (2008). Optimization of processing parameters during laser cladding of ZE41A-T5 magnesium alloy castings using Taguchi method. Materials and Manufacturing Processes, 23(4), 413-418. (Pubitemid 351502898)
3. Chen, W. C., Fu, G. L., Tai, P. H., & Deng, W. J. (2009). Process parameter optimization for MIMO plastic injection molding via soft computing. Expert Systems with Applications, 36, 1114-1122.
4. Douglas, C. M., & Montgomery, D. C. (2004). Design and analysis of experiment (6th ed.). New York: Wiley.
5. Hsiao, Y. F., Tarng, Y. S., & Huang, W. J. (2008). Optimization of plasma arc welding parameters by using the Taguchi method with the Grey relational analysis. Materials and Manufacturing Processes, 23(1), 51-58. (Pubitemid 350273915)
6. Kahramanli, H., & Allahverdi, N. (2009). Rule extraction from trained adaptive neural networks using artificial immune systems. Expert Systems with Applications, 36, 1513-1522.
7. Kirby, E. D., Zhang, Z., Chen, J. C., & Chen, J. (2006). Optimizing surface finish in a turning operation using the Taguchi parameter design method. The International Journal of Advanced Manufacturing Technology, 30(11-12), 1021-1029. (Pubitemid 44570085)
8. Ko, Y. D., Moon, P., Kim, C. E., Ham, M. H., Myoung, J. M., & Yun, I. (2009). Modeling and optimization of the growth rate for ZnO thin films using neural networks and genetic algorithms. Expert Systems with Applications, 36, 4061-4066.
9. Kuo, C. F. J., Chang, C. D., Su, T. L., & Fu, C. T. (2008). Optimization of the dyeing process and prediction of quality characteristics on elastic fiber blending fabrics. Polymer-Plastics Technology and Engineering, 47(7), 678-687.
10. Kuriakose, S., Mohan, K., & Shunmugam, M. S. (2003). Data mining applied to wire-EDM process. Journal of Materials Processing Technology, 142, 182-189.
11. Lin, Y. C., Chen, Y. F., Wang, D. A., & Lee, H. S. (2009). Optimization of machining parameters in magnetic force assisted EDM based on Taguchi method. Journal of Materials Processing Technology, 209, 3374-3383.
12. Lin, C. T., Yang, L. D., & Chow, H. M. (2007). Study of magnetic abrasive finishing in free-form surface operations using the Taguchi method. The International Journal of Advanced Manufacturing Technology, 34(1-2), 122-130.
13. Qiao, H. (2006). A systematic computer-aided approach to cooling system optimal design in plastic injection molding. International Journal of Mechanical Sciences, 48, 430-439. (Pubitemid 43145930)
14. Sayarshad, H. R., & Ghoseiri, K. (2009). A simulated annealing approach for the multi-periodic rail-car fleet sizing problem. Computers & Operations Research, 36, 1789-1799.
15. Available from www.plansee.com/PLANSEE High Performance Materials.
16. Yang, Y. K., & Chang, T. C. (2006). Experimental analysis and optimization of a photo resist coating process for photolithography in wafer fabrication. Microelectronics Journal, 37(8), 746-751.
17. Yang, S. H., Srinivas, J., Mohan, S., Lee, D. M., & Balaji, S. (2009). Optimization of electric discharge machining using simulated annealing. Journal of Materials Processing Technology. doi:10.1016/j.jmatprotec.2008.10. 053.
18. Yen, C. M., Lin, J. C., Li, W., & Huang, M. F. (2006). An adductive neural network approach to the design of runner dimensions for the minimization of wrappage in injection mouldings. Journal of Materials Processing Technology, 178, 1-8.