Multiobjective optimization of injection molding parameters based on soft computing and variable complexity method

International Journal of Advanced Manufacturing Technology

Volumn 66, Issue 5-8, 2013, Pages 907-916

  Cheng, Jin ^a   Liu, Zhenyu ^a   Tan, Jianrong ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Back propagation neural network; Constrained non dominated sorted genetic algorithm; Injection molding parameter; Multiobjective optimization; Soft computing; Variable complexity method

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; CONSTRAINED MULTIOBJECTIVE OPTIMIZATION; INJECTION-MOLDING PARAMETERS; MULTIPLE OBJECTIVE FUNCTIONS; MULTIPLE OBJECTIVES; OPTIMIZATION MODELS; PARETO OPTIMAL SOLUTIONS; VARIABLE COMPLEXITY METHOD;

GENETIC ALGORITHMS; KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; MOLDS; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; OPTIMAL SYSTEMS; SOFT COMPUTING;

INJECTION MOLDING;

EID: 84880556441     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-012-4376-9     Document Type: Article

References (24)

1. Lin YH, Deng WJ, Huang CH, Yang YK (2008) Optimization of injection molding process for wear and tensile properties of polypropylene composite components via Taguchi and design of experiments method. Polym-Plast Technol Eng 47:96-105
2. Cheng J, Feng YX, Tan JR, Wei W (2008) Optimization of injection mold based on fuzzy moldability evaluation. J Mater Process Technol 208(1-3):222-228
3. Chen CC, Su PL, Lin YC (2009) Analysis and modeling of effective parameters for dimension shrinkage variation of injection molded part with thin shell feature using response surface methodology. Int Adv Manuf Technol 45(11-12):1087-1095
4. Wu CY, Ku CC, Pai HY (2011) Injection molding optimization with weld line design constraint using distributed multi-population genetic algorithm. Int Adv Manuf Technol 52(1-4):131-141
5. Shi HZ, Xie SM, Wang XC (2012) A warpage optimization method for injection molding using artificial neural network with parametric sampling evaluation strategy. Int Adv Manuf Technol DOI. doi: 10.1007/s00170-012-4173-5
6. Alam K, Kamal MR (2004) Runner balancing by a direct genetic optimization of shrinkage. Polym Eng Sci 44:1949-1959
7. Alam K, Kamal MR (2005) A robust optimization of injection molding runner balancing. Comput Chem Eng 29:1934-1944
8. Deng YM, Zhang Y, Lam YC (2010) A hybrid of mode-pursuing sampling method and genetic algorithm for minimization of injection molding warpage. Mater Design 31:2118-2123
9. Kwak TS, Suzuki T, Bae WB, Uehara Y, Ohmori H (2005) Application of neural network and computer simulation to improve surface profile of injection molding optic lens. J Mater Process Technol 170:24-31
10. Juang CF, Huang ST, Duh FB (2006) Mold temperature control of a rubber injection-molding machine by TSK-type recurrent neural fuzzy network. Neurocomputing 70:559-567
11. Karatas C, Sözen A, Arcaklioglu E, Ergüney S (2007) Modelling of yield length in the mould of commercial plastics using artificial neural networks. Mater Design 28:278-286
12. Chen WC, Tai PH, Wang MW, Deng WJ, Chen CT (2008) A neural network-based approach for dynamic quality prediction in a plastic injection molding process. Expert Syst Appl 35:843-849
13. Altan M (2010) Reducing shrinkage in injection molding via the Taguchi, ANOVA and neural network methods. Mater Design 31:599-604
14. Gao YH, Wang XC (2008) An effective warpage optimization method in injection molding based on Kriging model. Int Adv Manuf Technol 37:953-960
15. Gao YH, Wang XC (2009) Surrogate-based process optimization for reducing warpage in injection molding. J Mater Process Technol 209:1302-1309
16. Shi HZ, Gao YH, Wang XC (2010) Optimization of injection molding process parameters using integrated artificial neural network model and expected improvement function method. Int Adv Manuf Technol 48(9-12):955-962
17. Yen C, Lin JC, Li WJ, Huang MF (2006) An abductive neural network approach to the design of runner dimensions for the minimization of warpage in injection moulding. J Mater Process Technol 174:22-28
18. Kurtaran H, Ozcelik B, Erzurumlu T (2005) Warpage optimization of a bus ceiling lamp base using neural network and genetic algorithm. J Mater Process Technol 169:314-319
19. Ozcelik B, Erzurumlu T (2006) Comparison of the warpage optimization in the plastic injection molding using ANOVA, neural network model and genetic algorithm. J Mater Process Technol 171:437-445
20. Shen CY, Wang LX, Li Q (2007) Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method. J Mater Process Technol 183:412-418
21. Mathivanan D, Parthasarathy NS (2009) Sink-mark minimization in injection molding through response surface regression modeling and genetic algorithm. Int Adv Manuf Technol 45(9-10):867-874
22. Silva VVR, Fleming PJ, Sugimoto J, Yokoyama R (2008) Multiobjective optimization using variable complexity modelling for control system design. Appl Soft Comput 8:392-401
23. Woll SLB, Cooper DJ (1997) Pattern-based closed-loop quality control for the injection molding process. Polym Eng Sci 37:801-812
24. Kurpati A, Azarm S, Wu J (2002) Constraint handling improvements for multiobjective genetic algorithms. Struct Multidiscip O 23:204-213