Optimization of Injection Molding Process for SGF and PTFE Reinforced PC Composites Using Response Surface Methodology and Simulated Annealing Approach

References

Alsewailem, F. D., Gupta, R. K., “Mechanical Properties of Rubber-Toughened Post-industrial Glass-fiber-reinforced PA 66”, Int. Polym. Proc., 21, 189–197(2006)Suche in Google Scholar

Altan, M., Yurci, M. E., “Optimization of Residual Stresses in the Surface Regions of Injection Moldings”, Polym. Plast. Tech. Eng., 49, 32–37(2010), DOI: http://dx.doi.org/10.1080/03602550903206399Suche in Google Scholar

Arul, S., et al., “Modeling and Optimization of Process Parameters for Defect Toleranced Drilling of GFRP Composites”, Mater. Manuf. Process., 21, 357–365(2006), DOI: http://dx.doi.org/10.1080/10426910500411587Suche in Google Scholar

Brent, S. A.: “Plastics Materials and Processing”, 3rd Edition, Prentice Hall, New Jersey, (2006)Suche in Google Scholar

Biswas, S., Satapathy, A., “Erosion Wear Analysis of SiC Filled Glass-Epoxy Composites using Taguchi Technique”, Int. Polymer. Proc., 25, 23–33(2010), DOI: http://dx.doi.org/10.3139/217.2284Suche in Google Scholar

Carriœn, F. J., et al., “Influence of ZnO Nanoparticle Filler on the Properties and Wear Resistance of Polycarbonate”, Wear, 262, 1504–1510(2007), DOI: http://dx.doi.org/10.1016/j.wear.2007.01.016Suche in Google Scholar

Carriœn, F. J., et al., “Physical and Tribological Properties of a New Polycarbonate-organoclay Nanocomposite”, Eur. Polym. J., 44, 968–977(2008), DOI: http://dx.doi.org/10.1016/j.eurpolymj.2008.01.038Suche in Google Scholar

Cheng, W. S., et al., “Investigation of the Effects of Injection Molding Processing Parameters on Conductive Polymeric Composites for Electromagnetic Interference Shielding Effectiveness”, Polym. Plast. Tech. Eng., 48, 216–220(2009), DOI: http://dx.doi.org/10.1080/03602550802634592Suche in Google Scholar

Chen, C. P., et al., “Simulation and Experimental Study in Determining Injection Molding Process Parameters for Thin-shell Plastic Parts via Design of Experiments Analysis”, Expert. Syst. Appl., 36, 10752–10759(2009), DOI: http://dx.doi.org/10.1016/j.eswa.2009.02.017Suche in Google Scholar

Chuang, M. T., et al., “Modeling and Optimization of Injection Molding Process Parameters for Thin-shell Plastic Parts”, Polym. Plast. Tech. Eng., 48, 745–753(2009), DOI: http://dx.doi.org/10.1080/03602550902824630Suche in Google Scholar

Chen, H. C., et al., “Optimization of Wire Electrical Discharge Machining for Pure Tungsten using a Neural Network Integrated Simulated Annealing Approach”, Expert. Syst. Appl., 37, 7147–7153(2010), DOI: http://dx.doi.org/10.1016/j.eswa.2010.04.020Suche in Google Scholar

Davim, J. P., et al., “An Investigative Study of Delamination in Drilling of Medium Density Fibre Board (MDF) using Response Surface Models”, Int. J. Adv. Manuf. Tech., 37, 49–57(2008), DOI: http://dx.doi.org/10.1007/s00170-007-0937-8Suche in Google Scholar

Gu, A., et al., “Novel Preparation of Glass Fiber Reinforced Polytetrafluoroethylene Composites for Application as Structural Materials”, Polymer. Adv. Tech., 20, 39–42(2009), DOI: http://dx.doi.org/10.1002/pat.1243Suche in Google Scholar

Kurt, M., et al., “Application of Taguchi Methods in the Optimization of Cutting Parameters for Surface Finish and Hole Diameter Accuracy in Dry Drilling Processes”, Int. J. Adv. Manuf. Tech., 40, 458–469(2009), DOI: http://dx.doi.org/10.1007/s00170-007-1368-2Suche in Google Scholar

Karunakar, D. B., Datta, G. L., “Prevention of Defects in Castings using Back Propagation Neural Networks”, Int. J. Adv. Manuf. Tech., 39, 1111–1124(2008), DOI: http://dx.doi.org/10.1007/s00170-007-1289-0Suche in Google Scholar

Lin, S. S., et al., “Optimization of Mechanical Characteristics of Short Glass Fiber and Polytetrafluoroethylene Reinforced Polycarbonate Composites via D-optimal Mixture Design”, Polymer. Plast. Tech. Eng., 49, 195–203(2010), DOI: http://dx.doi.org/10.1080/03602550903284297Suche in Google Scholar

Lin, Y. C., et al., “Machining Performance and Optimizing Machining Parameters of Al2O3-TiC Ceramics Using EDM Based on the Taguchi Method”, Mater. Manuf. Proc., 24, 667–674(2009), DOI: http://dx.doi.org/10.1080/10426910902769285Suche in Google Scholar

Lotti, C., Bretas, R. E. S., “Correlation between Injection Molding Parameters, Morphology and Mechanical Properties of PPS/SEBS Blend Using Artificial Neural Networks”, Int. Polym. Proc., 22, 105–116(2007)Suche in Google Scholar

Mergler, Y. J., et al., “Influence of Yield Strength and Toughness on Friction and Wear of Polycarbonate”, Wear, 258, 915–923(2005), DOI: http://dx.doi.org/10.1016/j.wear.2004.09.046Suche in Google Scholar

Montgomery, D. C.: “Design and Analysis of Experiment”, 6^th Edit., John Wiley and Sons, New York(2005)Suche in Google Scholar

Phua, Y. J., et al., “Injection Molded Short Glass and Carbon Fibers Reinforced Polycarbonate Hybrid Composites: Effects of Fiber Loading”, J. Reinfor. Plast. Compos., 29, 2592–2603(2010), DOI: http://dx.doi.org/10.1177/0731684409358282Suche in Google Scholar

Patel, K. M., et al., “Determination of an Optimum Parametric Combination Using a Surface Roughness Prediction Model for EDM of Al2O3/SiCw/TiC Ceramic Composite”, Mater. Manuf. Process., 24, 675–682(2009), DOI: http://dx.doi.org/10.1080/10426910902769319Suche in Google Scholar

Qiao, H., “A Systematic Computer-aided Approach to Cooling System Optimal Design in Plastic Injection Molding”, Int. J. Mech. Sci., 48, 430–439(2006), DOI: http://dx.doi.org/10.1016/j.ijmecsci.2005.11.001Suche in Google Scholar

Rizvi, S. J. A., Bhatnagar, N., “Optimization of Microcellular Injection Molding Parameters”, Int. Polym. Proc., 24, 399–405(2009), DOI: http://dx.doi.org/10.3139/217.2263Suche in Google Scholar

SadAbadi, H., Ghasemi, M., “Study on Fiber Weight Fraction Effect on Tensile Modulus of Polystyrene (PS) Composites Reinforced with Short Glass Fiber (SGF) Based on Their Fiber Orientation”, Polymer. Plast. Tech. Eng., 47, 427–432(2008), DOI: http://dx.doi.org/10.1080/03602550801898354Suche in Google Scholar

Sayarshad, H. R., Ghoseiri, K., “A Simulated Annealing Approach for the Multi-periodic Rail-car Fleet Sizing Problem”, Comput. Oper. Res., 36, 1789–1799(2009), DOI: http://dx.doi.org/10.1016/j.cor.2008.05.004Suche in Google Scholar

Sawyer, W. G., et al., “A Study on the Friction and Wear Behavior of PTFE Filled with Alumina Nanoparticles”. Wear., 254, 573–580(2003)10.1016/S0043-1648(03)00252-7Suche in Google Scholar

Tzeng, C. J., Yang, Y. K., “Determination of Optimal Parameters for SKD11 CNC Turning Process”, Mater. Manuf. Process., 23, 363–368(2008), DOI: http://dx.doi.org/10.1080/10426910801937975Suche in Google Scholar

Xiang, D., et al., “On the Tribological Properties of PTFE Filled with Alumina Nanoparticles and Graphite”, J. Reinforc. Plast. Compos., 26, 331–339(2007), DOI: http://dx.doi.org/10.1177/0731684407072517Suche in Google Scholar

Yang, Y. K., et al., “A Study of Taguchi and Design of Experiments Method in Injection Molding Process for Polypropylene Components”, J. Reinfor. Plast. Compos., 27, 819–834(2008), DOI: http://dx.doi.org/10.1177/0731684407084988Suche in Google Scholar

Yang, S. H., et al., “Optimization of Electric Discharge Machining Using Simulated Annealing”, J. Mater. Process. Tech., 209, 4471–4475(2009), DOI: http://dx.doi.org/10.1016/j.jmatprotec.2008.10.053Suche in Google Scholar

Zhang, X., et al., “On Dry Sliding Friction and Wear Behavior of PPESK Filled with PTFE and Graphite”, Tribol. Int., 41, 195–201(2008), DOI: http://dx.doi.org/10.1016/j.triboint.2007.08.003Suche in Google Scholar

Zhang, J., et al., “A New Family of Low Wear, Low Coefficient of Friction Polymer Blend Based on Polytetrafluoroethylene and an Aromatic Thermosetting Polyester”, Polymer. Adv. Tech., 19, 1105–1112(2008), DOI: http://dx.doi.org/10.1002/pat.1086Suche in Google Scholar

Zhang, J. Z., Chen, J. C., “Surface Roughness Optimization in a Drilling Operation Using the Taguchi Design Method”, Mater. Manuf. Process., 24, 459–467(2009), DOI: http://dx.doi.org/10.1080/10426910802714399Suche in Google Scholar

Zhang, Y., et al., “Optimization for Loading Paths of Tube Hydroforming Using a Hybrid Method”, Mater. Manuf. Process., 24, 700–708(2009), DOI: http://dx.doi.org/10.1080/10426910902769392Suche in Google Scholar