메뉴 건너뛰기




Volumn 29, Issue 9, 2008, Pages 1768-1776

Delamination analysis in high speed drilling of carbon fiber reinforced plastics (CFRP) using artificial neural network model

Author keywords

Artificial neural network (ANN); Carbon fiber reinforced plastics (CFRP); Delamination; High speed drilling

Indexed keywords

ERROR-BACK PROPAGATION TRAINING ALGORITHM (EBPTA); HIGH SPEED DRILLING;

EID: 44949242313     PISSN: 02641275     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.matdes.2008.03.014     Document Type: Article
Times cited : (314)

References (28)
  • 1
    • 0035870531 scopus 로고    scopus 로고
    • Effect of electrical discharge machining on the characteristics of carbon fibre reinforced carbon composites
    • Guu Y.H., Hocheng H., Tai N.H., and Liu S.Y. Effect of electrical discharge machining on the characteristics of carbon fibre reinforced carbon composites. J Mater Sci 36 (2001) 2037-2043
    • (2001) J Mater Sci , vol.36 , pp. 2037-2043
    • Guu, Y.H.1    Hocheng, H.2    Tai, N.H.3    Liu, S.Y.4
  • 2
    • 0038166130 scopus 로고    scopus 로고
    • Drilling carbon fiber-reinforced plastics (CFRP) manufactured by autoclave - experimental and statistical study
    • Davim J.P., and Reis P. Drilling carbon fiber-reinforced plastics (CFRP) manufactured by autoclave - experimental and statistical study. Mater Des 24 (2003) 315-324
    • (2003) Mater Des , vol.24 , pp. 315-324
    • Davim, J.P.1    Reis, P.2
  • 3
    • 0030785883 scopus 로고    scopus 로고
    • Effect of hole machining defects on strength and fatigue life of composite laminates
    • Persson E., Eriksson I., and Zackrisson L. Effect of hole machining defects on strength and fatigue life of composite laminates. Compos: Part A 28 (1997) 141-151
    • (1997) Compos: Part A , vol.28 , pp. 141-151
    • Persson, E.1    Eriksson, I.2    Zackrisson, L.3
  • 4
    • 0347916876 scopus 로고    scopus 로고
    • Factors affecting the machinability of GFR/epoxy composites
    • El-Sonbaty I., Khashaba U.A., and Machaly T. Factors affecting the machinability of GFR/epoxy composites. Compos Struct 63 (2004) 313-327
    • (2004) Compos Struct , vol.63 , pp. 313-327
    • El-Sonbaty, I.1    Khashaba, U.A.2    Machaly, T.3
  • 5
    • 84903354368 scopus 로고    scopus 로고
    • Wong TL, Wu SM, Groy GM. An analysis of delamination in drilling composite materials. In: Proceedings of the 14th SAMPE technology conference, Atlanta, (GA), USA; 1982. p. 471-83.
    • Wong TL, Wu SM, Groy GM. An analysis of delamination in drilling composite materials. In: Proceedings of the 14th SAMPE technology conference, Atlanta, (GA), USA; 1982. p. 471-83.
  • 6
    • 33947373048 scopus 로고    scopus 로고
    • A novel approach based on digital image analysis to evaluate the delamination factor after drilling composite laminates
    • Davim J.P., Rubio J.C., and Abrão A.M. A novel approach based on digital image analysis to evaluate the delamination factor after drilling composite laminates. Compos Sci Technol 67 (2007) 1939-1945
    • (2007) Compos Sci Technol , vol.67 , pp. 1939-1945
    • Davim, J.P.1    Rubio, J.C.2    Abrão, A.M.3
  • 7
    • 0031133932 scopus 로고    scopus 로고
    • Investigation on cutting mechanism in small diameter drilling for GFRP (thrust force and surface roughness at drilled hole wall)
    • Ogawa K., Aoyama E., Inoue H., Hirogaki T., Nobe H., Kitahara Y., et al. Investigation on cutting mechanism in small diameter drilling for GFRP (thrust force and surface roughness at drilled hole wall). Compos Struct 38 (1997) 343-350
    • (1997) Compos Struct , vol.38 , pp. 343-350
    • Ogawa, K.1    Aoyama, E.2    Inoue, H.3    Hirogaki, T.4    Nobe, H.5    Kitahara, Y.6
  • 8
    • 0037360125 scopus 로고    scopus 로고
    • Study of delamination in drilling carbon fiber-reinforced plastics (CFRP) using design experiments
    • Davim J.P., and Reis P. Study of delamination in drilling carbon fiber-reinforced plastics (CFRP) using design experiments. Compos Struct 59 (2003) 481-487
    • (2003) Compos Struct , vol.59 , pp. 481-487
    • Davim, J.P.1    Reis, P.2
  • 9
    • 2442455671 scopus 로고    scopus 로고
    • Taguchi analysis of delamination associated with various drill bits in drilling of composite material
    • Tsao C.C., and Hocheng H. Taguchi analysis of delamination associated with various drill bits in drilling of composite material. Int J Mach Tools Manuf 44 (2004) 1085-1090
    • (2004) Int J Mach Tools Manuf , vol.44 , pp. 1085-1090
    • Tsao, C.C.1    Hocheng, H.2
  • 11
    • 0030153173 scopus 로고    scopus 로고
    • Drilling of carbon fiber-reinforced composite material at high speed
    • Lin S.C., and Chen I.K. Drilling of carbon fiber-reinforced composite material at high speed. Wear 194 (1996) 156-162
    • (1996) Wear , vol.194 , pp. 156-162
    • Lin, S.C.1    Chen, I.K.2
  • 12
    • 33746335056 scopus 로고    scopus 로고
    • Effects of special drill bits on drilling-induced delamination of composite materials
    • Hocheng H., and Tsao C.C. Effects of special drill bits on drilling-induced delamination of composite materials. Int J Mach Tools Manuf 46 (2006) 1403-1416
    • (2006) Int J Mach Tools Manuf , vol.46 , pp. 1403-1416
    • Hocheng, H.1    Tsao, C.C.2
  • 13
    • 33748692716 scopus 로고    scopus 로고
    • Multi-objective optimization of cutting parameters for drilling laminate composite materials by using genetic algorithms
    • Sardiñas R.Q., Reis P., and Davim J.P. Multi-objective optimization of cutting parameters for drilling laminate composite materials by using genetic algorithms. Compos Sci Technol 66 (2006) 3083-3088
    • (2006) Compos Sci Technol , vol.66 , pp. 3083-3088
    • Sardiñas, R.Q.1    Reis, P.2    Davim, J.P.3
  • 14
    • 6444239469 scopus 로고    scopus 로고
    • A torque and thrust prediction model for drilling of composite materials
    • Langella A., Nele L., and Maio A. A torque and thrust prediction model for drilling of composite materials. Compos: Part A 36 (2005) 83-93
    • (2005) Compos: Part A , vol.36 , pp. 83-93
    • Langella, A.1    Nele, L.2    Maio, A.3
  • 15
    • 0027592466 scopus 로고
    • Advantages of plasma etch modeling using neural networks over statistical techniques
    • Himmel C., and May G. Advantages of plasma etch modeling using neural networks over statistical techniques. IEEE Trans Semiconduct Manuf 6 (1993) 103-111
    • (1993) IEEE Trans Semiconduct Manuf , vol.6 , pp. 103-111
    • Himmel, C.1    May, G.2
  • 16
    • 0344082794 scopus 로고    scopus 로고
    • On-line surface recognition system using artificial neural networks system in turning operations
    • Lee S.S., and Chen J.C. On-line surface recognition system using artificial neural networks system in turning operations. Int J Adv Manuf Technol 22 (2003) 498-509
    • (2003) Int J Adv Manuf Technol , vol.22 , pp. 498-509
    • Lee, S.S.1    Chen, J.C.2
  • 17
    • 28644444250 scopus 로고    scopus 로고
    • Parametric optimization of wire electrical discharge machining of γ titanium aluminide alloy through an artificial neural network model
    • Sarkar S., Mitra S., and Bhattacharyya B. Parametric optimization of wire electrical discharge machining of γ titanium aluminide alloy through an artificial neural network model. Int J Adv Manuf Technol 27 (2006) 500-508
    • (2006) Int J Adv Manuf Technol , vol.27 , pp. 500-508
    • Sarkar, S.1    Mitra, S.2    Bhattacharyya, B.3
  • 18
    • 0030243351 scopus 로고    scopus 로고
    • A neural network thrust force controller to minimize delamination during drilling of graphite-epoxy laminates
    • Stone R., and Krishnamurthy K. A neural network thrust force controller to minimize delamination during drilling of graphite-epoxy laminates. Int J Mach Tools Manuf 36 (1996) 985-1003
    • (1996) Int J Mach Tools Manuf , vol.36 , pp. 985-1003
    • Stone, R.1    Krishnamurthy, K.2
  • 19
    • 2942625542 scopus 로고    scopus 로고
    • Neural network approach to prediction of bending strength and hardening behaviour of particulate reinforced (Al-Si-Mg) - aluminium matrix composites
    • Altinkok N., and Koker R. Neural network approach to prediction of bending strength and hardening behaviour of particulate reinforced (Al-Si-Mg) - aluminium matrix composites. Mater Des 25 (2004) 595-602
    • (2004) Mater Des , vol.25 , pp. 595-602
    • Altinkok, N.1    Koker, R.2
  • 20
    • 8844253104 scopus 로고    scopus 로고
    • Artificial neural network based delamination prediction in laminated composites
    • Chakraborty D. Artificial neural network based delamination prediction in laminated composites. Mater Des 26 (2005) 1-7
    • (2005) Mater Des , vol.26 , pp. 1-7
    • Chakraborty, D.1
  • 21
    • 30944432109 scopus 로고    scopus 로고
    • Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks - a review
    • Kadi H.E. Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks - a review. Compos Struct 73 (2006) 1-23
    • (2006) Compos Struct , vol.73 , pp. 1-23
    • Kadi, H.E.1
  • 22
    • 33644613754 scopus 로고    scopus 로고
    • Modelling of the prediction of tensile and density properties in particle reinforced metal matrix composites by using neural networks
    • Altinkok N., and Koker R. Modelling of the prediction of tensile and density properties in particle reinforced metal matrix composites by using neural networks. Mater Des 27 (2006) 625-631
    • (2006) Mater Des , vol.27 , pp. 625-631
    • Altinkok, N.1    Koker, R.2
  • 23
    • 34047129755 scopus 로고    scopus 로고
    • Prediction on tribological behaviour of composite PEEK-CF30 using artificial neural networks
    • LiuJie X., Davim J.P., and Cardoso R. Prediction on tribological behaviour of composite PEEK-CF30 using artificial neural networks. J Mater Process Technol 189 (2007) 374-378
    • (2007) J Mater Process Technol , vol.189 , pp. 374-378
    • LiuJie, X.1    Davim, J.P.2    Cardoso, R.3
  • 28
    • 84903354369 scopus 로고    scopus 로고
    • Math Works Incorporation. MATLAB user manual version 7.1 R14. Natick, (MA): Math Works Incorporation; 2005.
    • Math Works Incorporation. MATLAB user manual version 7.1 R14. Natick, (MA): Math Works Incorporation; 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.