메뉴 건너뛰기




Volumn 38, Issue 1, 1999, Pages 1-18

Incorporation of phenomenological models in a hybrid neural network for quality control of injection molding

Author keywords

Design of experiments; Hybrid neural networks; Injection molding process control; On line quality control

Indexed keywords

QUALITY CONTROL;

EID: 0033084108     PISSN: 03602559     EISSN: None     Source Type: Journal    
DOI: 10.1080/03602559909351556     Document Type: Article
Times cited : (16)

References (23)
  • 1
    • 24044490775 scopus 로고
    • Influencing molding quality during injection molding
    • VDI-Verlag, Dusseldorf
    • D. Rheinfeld, Influencing molding quality during injection molding, in Injection Molding Technology. VDI-Verlag, Dusseldorf, 1981.
    • (1981) Injection Molding Technology
    • Rheinfeld, D.1
  • 3
    • 0027836439 scopus 로고
    • Development of an expert system for injection molding operations
    • S. Kameoka, N. Haramato, and T. Sakai, Development of an expert system for injection molding operations, Adv. Polym. Technol., 12(4), 403-410 (1993).
    • (1993) Adv. Polym. Technol. , vol.12 , Issue.4 , pp. 403-410
    • Kameoka, S.1    Haramato, N.2    Sakai, T.3
  • 5
    • 0028014156 scopus 로고
    • The effect of processing parameters on the quality of injection moulded parts
    • O. Vaatainen, P. Jarvela, and K. Valta, The effect of processing parameters on the quality of injection moulded parts, Plast. Rubber Compos. Process. Applic., 21(4), 211 (1994).
    • (1994) Plast. Rubber Compos. Process. Applic. , vol.21 , Issue.4 , pp. 211
    • Vaatainen, O.1    Jarvela, P.2    Valta, K.3
  • 6
    • 0012045480 scopus 로고
    • Fuzzy neural networks: A survey
    • J. J. Buckley and Y. Hayashi, Fuzzy neural networks: A survey (invited review), Fuzzy Sets Syst., 66(1), 1 (1994).
    • (1994) Fuzzy Sets Syst. , vol.66 , Issue.1 , pp. 1
    • Buckley, J.J.1    Hayashi, Y.2
  • 7
    • 0031233910 scopus 로고    scopus 로고
    • Neural network-based quality controllers for manufacturing systems
    • R. B. Chinnam and W. J. Kolarik, Neural network-based quality controllers for manufacturing systems, Int. J. Product. Res., 35(9), 2601-2620 (1997).
    • (1997) Int. J. Product. Res. , vol.35 , Issue.9 , pp. 2601-2620
    • Chinnam, R.B.1    Kolarik, W.J.2
  • 8
    • 0028448723 scopus 로고
    • Artificial neural networks in manufacturing: Concepts, applications, and perspectives
    • S. H. Huang and H.-C. Zhang, Artificial neural networks in manufacturing: concepts, applications, and perspectives, IEEE Trans. Components Packag. Manuf. Technol. Part A, CPMT-17(2), 212-228 (1994).
    • (1994) IEEE Trans. Components Packag. Manuf. Technol. Part A , vol.CPMT-17 , Issue.2 , pp. 212-228
    • Huang, S.H.1    Zhang, H.-C.2
  • 9
    • 0030398831 scopus 로고    scopus 로고
    • Intelligent control in the process industries: Considerations for future research
    • Kobe
    • T. Samad, Intelligent control in the process industries: Considerations for future research, in Proceedings of the IEEE Conference on Decision and Control, Kobe, 1996.
    • (1996) Proceedings of the IEEE Conference on Decision and Control
    • Samad, T.1
  • 10
    • 0027574256 scopus 로고
    • Review of evolutionary artificial neural networks
    • X. Yao, Review of evolutionary artificial neural networks, Int. J. Intell. Syst., 8(4), 539-567 (1993).
    • (1993) Int. J. Intell. Syst. , vol.8 , Issue.4 , pp. 539-567
    • Yao, X.1
  • 11
    • 0030364411 scopus 로고    scopus 로고
    • Quality control in injection molding with an adaptive process model based on neural networks
    • Indianapolis, IN
    • J. Haeussler and J. Wortberg, Quality control in injection molding with an adaptive process model based on neural networks, 54th SPE Annual Technical Conference, Indianapolis, IN, 1996.
    • (1996) 54th SPE Annual Technical Conference
    • Haeussler, J.1    Wortberg, J.2
  • 12
    • 0031238031 scopus 로고    scopus 로고
    • A dynamic injection-molding process model for simulating mold cavity pressue profile
    • S. Woll and D. Cooper, A dynamic injection-molding process model for simulating mold cavity pressue profile, Polym. Plast. Technol. Eng., 36(5), 802-809 (1997).
    • (1997) Polym. Plast. Technol. Eng. , vol.36 , Issue.5 , pp. 802-809
    • Woll, S.1    Cooper, D.2
  • 15
    • 0030169047 scopus 로고    scopus 로고
    • Online pattern-based part quality monitoring of the injection molding process
    • S. L. B. Woll, D. J. Cooper, and B. V. Souder, Online pattern-based part quality monitoring of the injection molding process, Polym. Eng. Sci., 36(11), 1477-1488 (1996).
    • (1996) Polym. Eng. Sci. , vol.36 , Issue.11 , pp. 1477-1488
    • Woll, S.L.B.1    Cooper, D.J.2    Souder, B.V.3
  • 16
    • 0030352425 scopus 로고    scopus 로고
    • Advanced method for injection molding part quality control
    • S. L. B. Woll and D. J. Cooper, Advanced method for injection molding part quality control, J. Eng. Appl. Sci., 2, 1975-1979 (1996).
    • (1996) J. Eng. Appl. Sci. , vol.2 , pp. 1975-1979
    • Woll, S.L.B.1    Cooper, D.J.2
  • 17
    • 0038548097 scopus 로고
    • Prediction of mold cavity temperatures with an ANN
    • C. Richard, G. Helps, and B. T. Griffen, Prediction of mold cavity temperatures with an ANN, Plast. Eng., 50(10), 25-29 (1994).
    • (1994) Plast. Eng. , vol.50 , Issue.10 , pp. 25-29
    • Richard, C.1    Helps, G.2    Griffen, B.T.3
  • 18
    • 0029211182 scopus 로고
    • Prediction of injection molded plaque properties using artificial neural networks and flow simulation
    • Boston
    • B. H. Kim, T. W. Hwang, J. Faroqi, and S. Witkus, Prediction of injection molded plaque properties using artificial neural networks and flow simulation, in 53rd SPE Annual Technical Conference, Boston (1995).
    • (1995) 53rd SPE Annual Technical Conference
    • Kim, B.H.1    Hwang, T.W.2    Faroqi, J.3    Witkus, S.4
  • 19
    • 0031998855 scopus 로고    scopus 로고
    • Automated process parameter resetting for injection moulding: A fuzzy-neuro approach
    • W. He, Y. F. Zhang, K. S. Lee, S. Y. H. Fuh, and A. Y. C. Nee, Automated process parameter resetting for injection moulding: A fuzzy-neuro approach, J. Intell. Manuf., 9(1), 17-27 (1998).
    • (1998) J. Intell. Manuf. , vol.9 , Issue.1 , pp. 17-27
    • He, W.1    Zhang, Y.F.2    Lee, K.S.3    Fuh, S.Y.H.4    Nee, A.Y.C.5
  • 20
    • 0031072196 scopus 로고    scopus 로고
    • Numerical and experimental investigation of neural network-based intelligent control of molding processes
    • H. H. Demirci, J. P. Coulter, and S. I. Guceri, Numerical and experimental investigation of neural network-based intelligent control of molding processes, J. Manuf. Sci. Eng., 119(1), 88-94 (1997).
    • (1997) J. Manuf. Sci. Eng. , vol.119 , Issue.1 , pp. 88-94
    • Demirci, H.H.1    Coulter, J.P.2    Guceri, S.I.3
  • 21
    • 84989011983 scopus 로고
    • Dynamic modeling of the mold filling process in an injection molding machine
    • C.-P. Chiu, M.-C. Shih, and J.-H. Wei, Dynamic modeling of the mold filling process in an injection molding machine, Polym. Eng. Sci., .31(19), 1417-1424 (1991).
    • (1991) Polym. Eng. Sci. , vol.31 , Issue.19 , pp. 1417-1424
    • Chiu, C.-P.1    Shih, M.-C.2    Wei, J.-H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.