Combining the taguchi method with artificial neural network to construct a prediction model of a CO 2 laser cutting experiment

International Journal of Advanced Manufacturing Technology

Volumn 59, Issue 9-12, 2012, Pages 1103-1111

  Yang, Ching Been ^a   Deng, Chyn Shu ^b   Chiang, Hsiu Lu ^a  

^a NANYA INSTITUTE OF TECHNOLOGY   (Taiwan)

^b NATIONAL UNITED UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network; Laser cutting; Taguchi method; Vertical angle

Indexed keywords

CONTROL FACTORS; CONTROL POINT; EQUATION OF ENERGY; HIGH PRECISION; HIGH-ACCURACY; LASER CUTTING; NEURAL NETWORK MODEL; ORTHOGONAL ARRAY; PREDICTION MODEL; PREDICTIVE ABILITIES; TAGUCHI; TRAINING SAMPLE; VERTICAL ANGLE;

EXPERIMENTS; LASER APPLICATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; TAGUCHI METHODS;

LASER BEAMS;

EID: 84866901423     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-011-3557-2     Document Type: Article

References (23)

1. Coherent Inc. (1980) Laser operation, equipment, application and design. McGraw-Hill, New York
2. Peters CC, Marshall HL (1975) Cutting wood materials by laser. USDA Forest Service, Washington, DC, Paper 250
3. Nuss R (1988) Laser cutting of prim-polyurethane components in comparison with other cutting techniques. Proceedings of the Fifth International Conference on Laser in Manufacturing, September 13-14.
4. Rao BT, Kaul R, Tiwari P, Nath AK (2005) Inert gas cutting of titanium sheet with pulsed mode CO2 laser. Optics Lasers Eng 43:1330-1348. doi:10.1016/j.optlaseng.2004.12.009
5. Todd JA, Copley SM (1997) Development of a prototype laser processing system for shaping advanced ceramic materials. J Manuf Sci Eng 119:55-67. doi:10.1115/1.2836556
6. Zhou BH,Mahdavian SM(2004) Experimental and theoretical analyses of cutting nonmetallic materials by low power CO2 laser. J Mater Process Technol 146:188-192. doi:10.1016/j.jmatprotec.2003.10.017
7. Caiazzo E, Curcio F, Daurelio G, Minutolo FMC (2005) Laser cutting of different polymeric plastics (PE, PP and PC) by a CO2 laser beam. J Mater Process Technol 159:279-285. doi:10.1016/j. jmatprotec.2004.02.019
8. Lum KCP, Ng SL, Black I (2000) CO2 laser cutting of MDF: 1. Determination of process parameter settings. Optics Laser Technol 32:67-76. doi:10.1016/S0030-3992(00)00020-7
9. Syrcos GP (2001) Die casting process optimization using Taguchi methods. J Mat Proc Technol 135:68-74. doi:10.1016/S0924-0136(02)01036-1
10. Jeng JY, Wong YS, Ho CT (2001) Over-curing reduction of parts fabricated by the solid laser-diode plotter rapid prototyping system using the Taguchi method. Int J Adv Manuf Technol 18:683-691. doi:10.1007/PL00003962
11. Cherian RP, Smith LN,Midha PS (2000) A neural network approach for selection of powder metallurgy materials and process parameters. J Art Int Eng 14:39-44. doi:10.1016/S0954-1810(99)00026-6
12. Jain RK, Jain VK, Kalra PK (1999) Modeling of abrasive flow machining process: A neural network approach. Wear 231:242-248. doi:10.1016/S0043-1648(99) 00129-5
13. Lin SC, Ting CJ (1996) Drill wear monitoring using neural networks. Int J Mach Tools Manufact 36(4):465-475. doi:10.1016/0890-6955(95)00059-3
14. Tay KM, Butler C (1997) Modeling and optimizing of a Mig welding process-a case study using experimental designs and neural networks. Qual Rel Eng Int 13:61-70. doi:10.1002/(SICI) 1099-1638(199703)13:2<61::AID- QRE69>3.0.CO;2-Y
15. Habaibeh A, Gindy N (2000) A new approach for systematic design of condition monitoring systems for milling processes. J Mater Proc Technol 107(1-3):243-251. doi:10.1016/S0924-0136(00)00718-4
16. Lin ZC, Yang CB (2010) Combining the Taguchi method with an artificial neural network to construct a prediction model of near field photolithography experiments. Proc IME C J Mech Eng Sci 224(10):2223-2233. doi:10.1243/ 09544062JMES2055
17. Kim DH, Kim DJ, Kim BM(1999) The application of neural networks and statistical methods to process design in metal forming processes. Int J Adv Manuf Technol 15:889-894. doi:10.1007/s001700050146
18. Inamdar M, Date PP, Narasimhan K, Maiti SK, Singh UP (2000) Development of an artificial neural network to predict spring back in air vee bending. Int J Adv Manuf Technol 16:376-381. doi:10.1007/ s001700050169
19. Pilani R, Narasimhan K, Maiti SK, Singh UP, Date PP (2000) A hybrid intelligent systems approach for die design in sheet metal forming. Int J Adv Manuf Technol 16:370-375. doi:10.1007/s001700050168
20. Silfvast WT (1996) Laser fundamentals. Cambridge University Press, New York
21. Fowlkes WY, Creveling CM (1995) Engineering methods for robust product design: Using Taguchi methods in technology and product development. Addison-Wesley, Reading
22. Fisher RA (1925) Statistical methods for research worker. Oliver & Boyd, London
23. Freeman JA, Skapura DM (1991) Neural networks: Algorithms, applications, and programming techniques. Addison-Wesley, California