Simulation and experimental study in determining injection molding process parameters for thin-shell plastic parts via design of experiments analysis

Expert Systems with Applications

Volumn 36, Issue 7, 2009, Pages 10752-10759

  Chen, Ching Piao ^a   Chuang, Ming Tsan ^b   Hsiao, Yun Hsiang ^b   Yang, Yung Kuang ^b   Tsai, Chih Hung ^a  

^a TA HWA INSTITUTE OF TECHNOLOGY   (Taiwan)

^b MINGHSIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

DOE; Injection molding; Mold Flow analyses; Optimization; Warpage

Indexed keywords

COMPUTER-AIDED ENGINEERINGS; CONTROLLED PARAMETERS; DOE; EXPERIMENTAL STUDIES; INJECTION MOLDING PROCESS; MELT TEMPERATURES; MOLD-FLOW ANALYSES; MOLDING CONDITIONS; OPTIMAL PARAMETER SETTINGS; ORTHOGONAL ARRAYS; PACKING PRESSURES; PLASTIC COMPONENTS; PROCESS PARAMETERS; REGRESSION MODELS; SIGNIFICANT FACTORS; STATISTICAL TECHNIQUES; WARPAGE;

COMPUTER AIDED ENGINEERING; DENSITY (OPTICAL); DESIGN OF EXPERIMENTS; DIFFRACTIVE OPTICAL ELEMENTS; INJECTION MOLDING; OPTIMIZATION; PARAMETER ESTIMATION; PLASTIC MOLDS; PLASTICS; REGRESSION ANALYSIS;

PLASTIC PARTS;

EID: 67349220694     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.02.017     Document Type: Article

References (21)

1. Brent S.A. Plastics materials and processing. 3rd ed. (2000), Prentice Hall, New Jersey
2. Chen C.S., Cheng W.S., Wang T.S., and Chien R.D. Optimum design of gas-assisted injection molding. Journal of Reinforced Plastics and Composites 24 15 (2005) 1577-1586
3. Chen W.C., Tai P.H., Wang M.W., Deng W.J., and Chen CT. A neural network-based approach for a dynamic quality predictor in plastic injection molding process. Expert Systems with Applications 35 3 (2008) 843-849
4. Chien R.D., Chen S.C., Lee P.H., and Huang J.S. Study on the molding characteristics and mechanical properties of injection-molded foaming polypropylene parts. Journal of Reinforced Plastics and Composites 23 4 (2004) 429-444
5. Douglas C.M., and Montgomery D.C. Design and analysis of experiment. 6th ed. (2004), John Wiley and Sons Inc., New York
6. Ismail H., and Suryadiansyah. A comparative study of the effect of degradation on the properties of PP/NR and PP/RR blends. Polymer-Plastics Technology and Engineering 43 2 (2004) 319-340
7. Kuraray Co. Ltd. (1998). Development of new heat-resistant polyamide resin, "PA9T", for electronic and automobile parts. Technique report, December, Kuraray Co. Ltd., Tokyo, Japan.
8. Lin Y.H., Deng W.J., Huang C.H., and Yang Y.K. Optimization of injection molding process for tensile and wear properties of polypropylene components via Taguchi and design of experiments method. Polymer-Plastics Technology and Engineering 47 1 (2008) 96-105
9. Lotti C., Ueki M.M., and Bretas R.E.S. Prediction of the shrinkage of injection molded iPP plaques using artificial neural networks. Journal of Injection Molding Technology 6 (2002) 157-176
10. Minitab Statistical Software (2000). 13th ed. Pennsylvania: Minitab Inc.
11. Myers R.H., and Montgomery D.C. Response surface methodology: Process and product optimization using designed experiments. 2nd ed. (2002), John Wiley and Sons Inc, New York
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 and Design 28 (2007) 1271-1278
13. Patcharaphun S., and Mennig G. Simulation and experimental investigations of material distribution in the sandwich injection molding process. Polymer-Plastics Technology and Engineering 45 6 (2007) 759-768
14. Patcharaphun S., Zhang B., and Mennig G. Simulation of three-dimensional fiber orientation in weldline areas during push-pull-processing. Journal of Reinforced Plastics and Composites 26 10 (2007) 977-985
15. Puertas I., and Luis C.J. A study of optimization of machining parameters for electrical discharge machining of boron carbide. Materials and Manufacturing Processes 19 6 (2004) 1041-1070
16. SadAbadi H., and Ghasemi M. Effects of some injection molding process parameters on fiber orientation tensor of short glass fiber polystyrene composites (SGF/PS). Journal of Reinforced Plastics and Composites 26 17 (2007) 1729-1741
17. Sofuoglu H. A technical note on the role of process parameters in predicting flow behavior of plasticine using design of experiment. Journal of Materials Processing Technology 178 1-3 (2006) 148-153
18. Song M.C., Liu Z., Wang M.J., Yu T.M., and Zhao D.Y. Research on effects of injection process parameters on the molding process for ultra-thin wall plastic parts. Journal of Materials Processing Technology 178 1-3 (2007) 148-153
19. Tong J.P.C., Tsung F., and Yen B.P.C. A DMAIC approach to printed circuit board quality improvement. The International Journal of Advanced Manufacturing Technology 23 7-8 (2004) 523-531
20. Yang Y.K. Optimization of a photo resists coating process for photolithography in wafer manufacturing via design of experiments method. Microelectronics International 23 3 (2006) 26-32
21. Yang Y.K. Optimization of injection-molding process of short glass fiber and polytetrafluoroethylene reinforced polycarbonate composites via design of experiments method: A case study. Materials and Manufacturing Processes 21 8 (2006) 915-921