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Volumn 35, Issue 3, 2008, Pages 843-849

A neural network-based approach for dynamic quality prediction in a plastic injection molding process

Author keywords

Back propagation neural network; Dynamic quality predictor; Injection molding process; Neural network based prediction system; Self organizing map; Taguchi's parameter design method

Indexed keywords

ARCHITECTURAL DESIGN; BACKPROPAGATION; BRIDGE PIERS; COMPUTER NETWORKS; CONFORMAL MAPPING; CRACK PROPAGATION; DYNAMIC MODELS; DYNAMICAL SYSTEMS; DYNAMICS; EXTRACTION; FORECASTING; FORMING; IMAGE CLASSIFICATION; INDUSTRIAL ENGINEERING; INJECTION MOLDING; MATHEMATICAL MODELS; MECHANICS; METROPOLITAN AREA NETWORKS; MOLDING; MOLDS; NETWORK PROTOCOLS; PLASTIC MOLDS; PLASTICS; QUALITY CONTROL; RESEARCH LABORATORIES; SOLVENT EXTRACTION; SPEECH RECOGNITION; STRENGTH OF MATERIALS; SYSTEMS ENGINEERING; TELECOMMUNICATION EQUIPMENT; TORSIONAL STRESS;

EID: 44949099428     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.07.037     Document Type: Article
Times cited : (144)

References (37)
  • 1
    • 33846448161 scopus 로고    scopus 로고
    • A neural-network approach for an automatic LED inspection system
    • Chen W.C., and Hsu S.W. A neural-network approach for an automatic LED inspection system. Expert Systems with Applications 33 2 (2006) 531-537
    • (2006) Expert Systems with Applications , vol.33 , Issue.2 , pp. 531-537
    • Chen, W.C.1    Hsu, S.W.2
  • 3
    • 29944442372 scopus 로고    scopus 로고
    • Application of grey-fuzzy logic on the optimal process design of an injection-molded part with a thin shell feature
    • Chiang K.T., and Chang F.P. Application of grey-fuzzy logic on the optimal process design of an injection-molded part with a thin shell feature. International Communications in Heat and Mass Transfer 33 (2006) 94-101
    • (2006) International Communications in Heat and Mass Transfer , vol.33 , pp. 94-101
    • Chiang, K.T.1    Chang, F.P.2
  • 4
    • 33748435315 scopus 로고    scopus 로고
    • Integrating the improved CBP model with kernel SOM
    • Dai Q., and Chen S. Integrating the improved CBP model with kernel SOM. Neurocomputing 69 16-18 (2006) 2208-2216
    • (2006) Neurocomputing , vol.69 , Issue.16-18 , pp. 2208-2216
    • Dai, Q.1    Chen, S.2
  • 5
    • 0026221027 scopus 로고
    • An information criterion for optimal neural network selection
    • Fogel D.B. An information criterion for optimal neural network selection. IEEE Transactions on Neural Networks 2 5 (1991) 490-497
    • (1991) IEEE Transactions on Neural Networks , vol.2 , Issue.5 , pp. 490-497
    • Fogel, D.B.1
  • 7
    • 6344282831 scopus 로고    scopus 로고
    • Improving the electroforming process in optical recordable media manufacturing via an integrated procedure
    • Hsu C.M. Improving the electroforming process in optical recordable media manufacturing via an integrated procedure. Engineering Optimization 36 6 (2004) 659-675
    • (2004) Engineering Optimization , vol.36 , Issue.6 , pp. 659-675
    • Hsu, C.M.1
  • 8
    • 0035283563 scopus 로고    scopus 로고
    • The effective factors in the warpage problem of an injection-molded part with a thin shell feature
    • Huang M.C., and Tai C.C. The effective factors in the warpage problem of an injection-molded part with a thin shell feature. Journal of Materials Processing Technology 110 (2001) 1-9
    • (2001) Journal of Materials Processing Technology , vol.110 , pp. 1-9
    • Huang, M.C.1    Tai, C.C.2
  • 11
    • 0032654986 scopus 로고    scopus 로고
    • Control of part weight in injection molding of amorphous thermoplastics
    • Kamal M.R., Varela A.E., and Patterson W.I. Control of part weight in injection molding of amorphous thermoplastics. Polymer Engineering and Science 39 5 (1999) 940-952
    • (1999) Polymer Engineering and Science , vol.39 , Issue.5 , pp. 940-952
    • Kamal, M.R.1    Varela, A.E.2    Patterson, W.I.3
  • 13
    • 0029278204 scopus 로고
    • Optimal design of neural network using the Taguchi method
    • Khaw J.F.C., Lim B.S., and Lim L.E.N. Optimal design of neural network using the Taguchi method. Neurocomputing 7 (1995) 225-245
    • (1995) Neurocomputing , vol.7 , pp. 225-245
    • Khaw, J.F.C.1    Lim, B.S.2    Lim, L.E.N.3
  • 14
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen T. Self-organized formation of topologically correct feature maps. Biological Cybernetics 43 (1982) 59-69
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 15
    • 28544441462 scopus 로고    scopus 로고
    • Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm
    • Kurtaran H., and Erzurumlu T. Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm. International Journal of Advanced Manufacturing Technology 27 5/6 (2006) 468-472
    • (2006) International Journal of Advanced Manufacturing Technology , vol.27 , Issue.5-6 , pp. 468-472
    • Kurtaran, H.1    Erzurumlu, T.2
  • 16
    • 2442709290 scopus 로고    scopus 로고
    • An evolutionary approach for cooling system optimization in plastic injection moulding
    • Lam Y.C., Zhai L.Y., Tai K., and Fok S.C. An evolutionary approach for cooling system optimization in plastic injection moulding. International Journal of Production Research 42 10 (2004) 2047-2061
    • (2004) International Journal of Production Research , vol.42 , Issue.10 , pp. 2047-2061
    • Lam, Y.C.1    Zhai, L.Y.2    Tai, K.3    Fok, S.C.4
  • 17
    • 0035798065 scopus 로고    scopus 로고
    • Neural networks for the dimensional control of molded parts based on a reverse process model
    • Lau H.C.W., Ning A., Pun K.F., and Chin K.S. Neural networks for the dimensional control of molded parts based on a reverse process model. Journal of Materials Processing Technology 117 (2001) 89-96
    • (2001) Journal of Materials Processing Technology , vol.117 , pp. 89-96
    • Lau, H.C.W.1    Ning, A.2    Pun, K.F.3    Chin, K.S.4
  • 18
    • 0035252237 scopus 로고    scopus 로고
    • A new intelligent SOFM-based sampling plan for advanced process control
    • Lee J.H., You S.J., and Park S.C. A new intelligent SOFM-based sampling plan for advanced process control. Expert Systems with Applications 20 (2001) 133-151
    • (2001) Expert Systems with Applications , vol.20 , pp. 133-151
    • Lee, J.H.1    You, S.J.2    Park, S.C.3
  • 19
    • 0037106590 scopus 로고    scopus 로고
    • A genetic neural fuzzy system-based quality prediction model for injection process
    • Li E., Jia L., and Yu J. A genetic neural fuzzy system-based quality prediction model for injection process. Computers and Chemical Engineering 26 (2002) 1253-1263
    • (2002) Computers and Chemical Engineering , vol.26 , pp. 1253-1263
    • Li, E.1    Jia, L.2    Yu, J.3
  • 21
    • 0032034197 scopus 로고    scopus 로고
    • Understanding the behaviour and optimising the performance of back-propagation neural networks: An empirical study
    • Maier H.R., and Dandy G.C. Understanding the behaviour and optimising the performance of back-propagation neural networks: An empirical study. Environmental Modelling and Software 13 (1998) 179-191
    • (1998) Environmental Modelling and Software , vol.13 , pp. 179-191
    • Maier, H.R.1    Dandy, G.C.2
  • 22
    • 0036611393 scopus 로고    scopus 로고
    • Application of artificial neural network and fuzzy logic in a case-based system for initial process parameter setting of injection molding
    • Mok S.L., and Kwong C.K. Application of artificial neural network and fuzzy logic in a case-based system for initial process parameter setting of injection molding. Journal of Intelligent Manufacturing 13 3 (2002) 165-176
    • (2002) Journal of Intelligent Manufacturing , vol.13 , Issue.3 , pp. 165-176
    • Mok, S.L.1    Kwong, C.K.2
  • 23
    • 0028544395 scopus 로고
    • Network information criterion-determining the number of hidden units for an artificial neural network model
    • Murata N., and Yoshizawa S. Network information criterion-determining the number of hidden units for an artificial neural network model. IEEE Transactions on Neural Networks 5 (1994) 865-872
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 865-872
    • Murata, N.1    Yoshizawa, S.2
  • 25
    • 30844453622 scopus 로고    scopus 로고
    • Comparison of the warpage optimization in the plastic injection molding using ANOVA, neural network model and genetic algorithm
    • Ozcelik B., and Erzurumlu T. Comparison of the warpage optimization in the plastic injection molding using ANOVA, neural network model and genetic algorithm. Journal of Materials Processing Technology 171 (2006) 437-445
    • (2006) Journal of Materials Processing Technology , vol.171 , pp. 437-445
    • Ozcelik, B.1    Erzurumlu, T.2
  • 26
    • 33747710040 scopus 로고    scopus 로고
    • Effective palette indexing for image compression using self-organization of Kohonen feature map
    • Pei S.C., Chuang Y.T., and Chuang W.H. Effective palette indexing for image compression using self-organization of Kohonen feature map. IEEE Transactions on Image Processing 15 9 (2006) 2493-2498
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.9 , pp. 2493-2498
    • Pei, S.C.1    Chuang, Y.T.2    Chuang, W.H.3
  • 27
    • 0033724101 scopus 로고    scopus 로고
    • A BP-neural network predictor model for plastic injection molding process
    • Sadeghi B.H.M. A BP-neural network predictor model for plastic injection molding process. Journal of Materials Processing Technology 103 (2000) 411-416
    • (2000) Journal of Materials Processing Technology , vol.103 , pp. 411-416
    • Sadeghi, B.H.M.1
  • 28
    • 85131705391 scopus 로고    scopus 로고
    • Santos, M. S. & Ludermir, B. (1999). Using factorial design to optimize neural networks. In International Joint Conference on IEEE Neural Networks (Vol. 2, pp. 857-861). Washington, DC.
    • Santos, M. S. & Ludermir, B. (1999). Using factorial design to optimize neural networks. In International Joint Conference on IEEE Neural Networks (Vol. 2, pp. 857-861). Washington, DC.
  • 29
    • 0028496170 scopus 로고
    • Multiobjective optimization of a plastic injection molding process
    • Seaman C.M. Multiobjective optimization of a plastic injection molding process. IEEE Transactions on Control Systems Technology 2 3 (1994) 157-168
    • (1994) IEEE Transactions on Control Systems Technology , vol.2 , Issue.3 , pp. 157-168
    • Seaman, C.M.1
  • 31
    • 0034588714 scopus 로고    scopus 로고
    • Optimization of parameter design: an intelligent approach using neural network and simulated annealing
    • Su C.T., and Chang H.H. Optimization of parameter design: an intelligent approach using neural network and simulated annealing. International Journal of Systems Science 31 12 (2000) 1543-1549
    • (2000) International Journal of Systems Science , vol.31 , Issue.12 , pp. 1543-1549
    • Su, C.T.1    Chang, H.H.2
  • 32
    • 44949173109 scopus 로고    scopus 로고
    • Wang, P. J. & Liang, J. M. (1999). A numerical virtual process modeler basedon computer aided engineering software for injection molding, Society of Plastics Engineers Technical Papers, New York, USA, pp. 680-684.
    • Wang, P. J. & Liang, J. M. (1999). A numerical virtual process modeler basedon computer aided engineering software for injection molding, Society of Plastics Engineers Technical Papers, New York, USA, pp. 680-684.
  • 33
    • 23844499389 scopus 로고    scopus 로고
    • Effects of geometry and injection-molding parameters on weld-line strength
    • Wu C.H., and Liang W.J. Effects of geometry and injection-molding parameters on weld-line strength. Polymer Engineering and Science 45 7 (2005) 1021-1030
    • (2005) Polymer Engineering and Science , vol.45 , Issue.7 , pp. 1021-1030
    • Wu, C.H.1    Liang, W.J.2
  • 34
    • 33645682148 scopus 로고    scopus 로고
    • Injection molding product weight: Online prediction and control based on a nonlinear principal component regression model
    • Yang Y., and Gao F. Injection molding product weight: Online prediction and control based on a nonlinear principal component regression model. Polymer Engineering and Science 46 4 (2006) 540-548
    • (2006) Polymer Engineering and Science , vol.46 , Issue.4 , pp. 540-548
    • Yang, Y.1    Gao, F.2
  • 35
    • 16244390001 scopus 로고    scopus 로고
    • An ANN-based element extraction method for automatic mesh generation
    • Yao S., Yan B., Chen B., and Zeng Y. An ANN-based element extraction method for automatic mesh generation. Expert Systems with Applications 29 (2005) 193-206
    • (2005) Expert Systems with Applications , vol.29 , pp. 193-206
    • Yao, S.1    Yan, B.2    Chen, B.3    Zeng, Y.4
  • 36
    • 0037147061 scopus 로고    scopus 로고
    • Development of an integrated neural network system for prediction of process parameters in metal injection moulding
    • Yarlagadda P.K.D.V. Development of an integrated neural network system for prediction of process parameters in metal injection moulding. Journal of Materials Processing Technology 130-131 (2002) 315-320
    • (2002) Journal of Materials Processing Technology , vol.130-131 , pp. 315-320
    • Yarlagadda, P.K.D.V.1
  • 37
    • 0032637405 scopus 로고    scopus 로고
    • Melt temperature profile prediction for thermoplastic injection molding
    • Zhao C., and Gao F. Melt temperature profile prediction for thermoplastic injection molding. Polymer Engineering and Science 39 9 (1999) 1787-1801
    • (1999) Polymer Engineering and Science , vol.39 , Issue.9 , pp. 1787-1801
    • Zhao, C.1    Gao, F.2


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