Process parameters optimization for multiple quality characteristics in plastic injection molding using Taguchi method, BPNN, GA, and hybrid PSO-GA

International Journal of Precision Engineering and Manufacturing

Volumn 15, Issue 8, 2014, Pages 1583-1593

  Chen, Wen Chin ^a   Kurniawan, Denni ^a  

^a CHUNG HUA UNIVERSITY   (Taiwan)

Author keywords

ANOVA; BPNN; GA; Injection molding; PSO GA; Taguchi method

Indexed keywords

ANALYSIS OF VARIANCE (ANOVA); BACKPROPAGATION; GALLIUM; INJECTION MOLDING; PARTICLE SWARM OPTIMIZATION (PSO); PLASTIC PARTS; RESEARCH LABORATORIES; TAGUCHI METHODS;

BACK-PROPAGATION NEURAL NETWORKS; BPNN; MULTIPLE QUALITY CHARACTERISTICS; OPTIMAL PARAMETER SETTINGS; PLASTIC INJECTION MOLDING; PROCESS PARAMETERS OPTIMIZATIONS; TAGUCHI ORTHOGONAL ARRAYS; TWO STAGE OPTIMIZATIONS;

GENETIC ALGORITHMS;

EID: 84905648393     PISSN: 22347593     EISSN: 20054602     Source Type: Journal    
DOI: 10.1007/s12541-014-0507-6     Document Type: Article

References (34)

1. Mostafa, J. J., Mohammad, M. A., and Ehsan, M., "A Hybrid Response Surface Methodology and Simulated Annealing Algorithm," Proc. of International Conference on Computer Communication and Management, pp. 570-576, 2011.
2. Öktem, H., "Optimum Process Conditions on Shrinkage of an Injected-Molded Part of DVD-ROM Cover using Taguchi Robust Method," The International Journal of Advanced Manufacturing Technology, Vol. 61, No. 5-8, pp. 519-528, 2012.
3. Oktem, H., Erzurumlu, T., and Uzman, I., "Application of Taguchi Optimization Technique in Determining Plastic Injection Molding Process Parameters for a Thin-Shell Part," Materials & Design, Vol. 28, No. 4, pp. 1271-1278, 2007.
4. Shi, H., Xie, S., and Wang, X., "A Warpage Optimization Method for Injection Molding using Artificial Neural Network with Parametric Sampling Evaluation Strategy," The International Journal of Advanced Manufacturing Technology, Vol. 65, No. 1-4, pp. 343-353, 2013.
5. Tzeng, C. J., Yang, Y. K., Lin, Y. H., and Tsai, C. H., A Study of Optimization of Injection Molding Process Parameters for SGF and PTFE Reinforced PC Composites using Neural Network and Response Surface Methodology, The International Journal of Advanced Manufacturing Technology, Vol. 63, No. 5-8, pp. 691-704, 2012.
6. Kusić, D., Kek, T., Slabe, J. M., Sveèko, R., and Grum, J., "The Impact of Process Parameters on Test Specimen Deviations and their Correlation with AE Signals Captured during the Injection Moulding Cycle," Polymer Testing, Vol. 32, No. 3, pp. 583-593, 2013.
7. Wang, X., Zhao, G., and Wang, G., "Research on the Reduction of Sink Mark and Warpage of the Molded Part in Rapid Heat Cycle Molding Process," Materials & Design, Vol. 47, pp. 779-792, 2013.
8. Altan, M., "Reducing Shrinkage in Injection Moldings via the Taguchi, ANOVA and Neural Network Methods," Materials & Design, Vol. 31, No. 1, pp. 599-604, 2010.
9. Fei, N. C., Kamaruddin, S., Siddiquee, A. N., and Khan, Z. A., "Experimental Investigation on the Recycled Hdpe and Optimization of Injection Moulding Process Parameters Via Taguchi Method," International Journal, Vol. 6, No. 1, pp. 81-91, 2011.
10. Ozcelik, B. and Sonat, I., "Warpage and Structural Analysis of Thin Shell Plastic in the Plastic Injection Molding," Materials & Design, Vol. 30, No. 2, pp. 367-375, 2009.
11. Sun, C. H., Chen, J. H., and Sheu, L. J., "Quality Control of the Injection Molding Process using an EWMA Predictor and Minimum-Variance Controller," The International Journal of Advanced Manufacturing Technology, Vol. 48, No. 1-4, pp. 63-70, 2010.
12. Oktem, H., Erzurumlu, T., and Uzman, I., "Application of Taguchi Optimization Technique in Determining Plastic Injection Molding Process Parameters for a Thin-Shell Part," Materials & Design, Vol. 28, No. 4, pp. 1271-1278, 2007.
13. Ozcelik, B., Ozbay, A., and Demirbas, E., "Influence of Injection Parameters and Mold Materials on Mechanical Properties of ABS in Plastic Injection Molding," International Communications in Heat and Mass Transfer, Vol. 37, No. 9, pp. 1359-1365, 2010.
14. Chen, W. C., Fu, G. L., Tai, P. H., and Deng, W. J., "Process Parameter Optimization for MIMO Plastic Injection Molding Via Soft Computing," Expert Systems with Applications, Vol. 36, No. 2, pp. 1114-1122, 2009.
15. Hao, Y., Hai, C., and Zhu, X., "Research Of Quality Control for Plastic Injection Gear based on CAE Technology," Proc. of International Conference on Mechanic Automation and Control Engineering, pp. 3742-3747, 2010.
16. Xu, G., Deng, F., and Xu, Y., "Adaptive Particle Swarm Optimization-Based Neural Network in Quality Prediction for Plastic Injection Molding," Journal of Computational Information Systems, Vol. 7, No. 2, pp. 462-470, 2011.
17. Berti, G. and Monti, M., "A Virtual Prototyping Environment for a Robust Design of an Injection Moulding Process," Computers & Chemical Engineering, Vol. 54, pp. 159-169, 2013.
18. Dang, X. P. and Park, H. S., "Design of U-Shape Milled Groove Conformal Cooling Channels for Plastic Injection Mold," Int. J. Precis. Eng. Manuf., Vol. 12, No. 1, pp. 73-84, 2011.
19. 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, Vol. 171, No. 3, pp. 437-445, 2006.
20. Park, H. S. and Dang, X. P., "Optimization of Conformal Cooling Channels with Array of Baffles for Plastic Injection Mold," Int. J. Precis. Eng. Manuf., Vol. 11, No. 6, pp. 879-890, 2010.
21. Sun, B., Wu, Z., Gu, B., and Huang, X., "Optimization of Injection Molding Process Parameters based on Response Surface Methodology and Genetic Algorithm," Proc. of 2nd International Conference on Computer Engineering and Technology, Vol. 5, pp. V5-397-V5-400, 2010.
22. Shi, H., Gao, Y., and Wang, X., "Optimization of Injection Molding Process Parameters using Integrated Artificial Neural Network Model and Expected Improvement Function Method," The International Journal of Advanced Manufacturing Technology, Vol. 48, No. 9-12, pp. 955-962, 2010.
23. Ozcelik, B. and Erzurumlu, T., "Determination of Effecting Dimensional Parameters on Warpage of Thin Shell Plastic Parts using Integrated Response Surface Method and Genetic Algorithm," International Communications in Heat and Mass Transfer, Vol. 32, No. 8, pp. 1085-1094, 2005.
24. Yin, F., Mao, H., Hua, L., Guo, W., and Shu, M., "Back Propagation Neural Network Modeling for Warpage Prediction and Optimization of Plastic Products during Injection Molding," Materials & Design, Vol. 32, No. 4, pp. 1844-1850, 2011.
25. Chen, C. C., Su, P. L., and Lin, Y. C., "Analysis and Modeling of Effective Parameters for Dimension Shrinkage Variation of Injection Molded Part with Thin Shell Feature using Response Surface Methodology," The International Journal of Advanced Manufacturing Technology, Vol. 45, No. 11-12, pp. 1087-1095, 2009.
26. Idoumghar, L., Melkemi, M., Schott, R., and Aouad, M. I., "Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems," Applied Computational Intelligence and Soft Computing, Vol. 2011, No. 3, pp. 1-12, 2011.
27. Mhamdi, B., Grayaa, K., and Aguili, T., "Hybrid of Particle Swarm Optimization, Simulated Annealing and Tabu Search for the Reconstruction of Two-Dimensional Targets from Laboratory-Controlled Data," Progress In Electromagnetics Research B, Vol. 28, pp. 1-18, 2011.
28. Nakano, S., Ishigame, A., and Yasuda, K., "Consideration of Particle Swarm Optimization Combined with Tabu Search," Electrical Engineering in Japan, Vol. 172, No. 4, pp. 31-37, 2010.
29. Song, X., Cao, Y., and Chang, C., "A Hybrid Algorithm of PSO and SA for Solving JSP," Proc. of Fifth International Conference on Fuzzy Systems and Knowledge Discovery, pp. 111-115, 2008.
30. Zhang, Y. and Wu, L., "A Robust Hybrid Restarted Simulated Annealing Particle Swarm Optimization Technique," Advances in Computer Science and its Applications, Vol. 1, No. 1, pp. 5-8, 2012.
31. Chen, W. C., Fu, G., and Kurniawan, D., "A Two-Stage Optimization System for the Plastic Injection Molding with Multiple Performance Characteristics," Advanced Materials Research, Vol. 468-471, Chap. 1, pp. 386-390, 2012.
32. Kurtaran, H. and Erzurumlu, T., "Efficient Warpage Optimization of Thin Shell Plastic Parts using Response Surface Methodology and Genetic Algorithm," The International Journal of Advanced Manufacturing Technology, Vol. 27, No. 5-6, pp. 468-472, 2006.
33. Reséndiz, E. and Rull-Flores, C. A., "Mahalanobis-Taguchi System Applied to Variable Selection in Automotive Pedals Components using Gompertz Binary Particle Swarm Optimization," Expert Systems with Applications, Vol. 40, No. 7, pp. 2361-2365, 2013.
34. Wang, H. S., Wang, Y. N., and Wang, Y. C., "Cost Estimation of Plastic Injection Molding Parts through Integration of PSO and BP Neural Network," Expert Systems with Applications, Vol. 40, No. 2, pp. 418-428, 2013.