Using a d-optimal mixture design to study the thermal properties of short glass fiber- and polytetrafluoroethylene-reinforced polycarbonate composites

This study analyzed variations of thermal properties that depend on the injection molding techniques during the blending of short glass fiber (SGF)- and polytetrafluoroethylene (PTFE)-reinforced polycarbonate (PC) composites. The proposed planning of blending experiments is using a d-optimal mixture design (DMD). The thermal conductivity and thermal expansion coefficient were selected for discussion. Nine experimental runs, based on a DMD method, utilized to train the back-propagation neural network (BPNN), and then the simulated annealing algorithm (SAA) approach is applied to search for an optimal mixture ratio setting. In addition, the result of BPNN integrating SAA was also compared with response surface methodology (RSM) approach. The results of confirmation experiment show that DMD, RSM, and BPNN integrating SAA method are effective tools for the optimization of reinforced process. Furthermore, analysis of variance and response surface graphs were applied to identify the effect of mixture ratio of SGF- and PTFE-reinforced PC composites for the thermal conductivity and thermal expansion coefficient.

[1]  Yang Jianguo,et al.  Thermal error optimization modeling and real-time compensation on a CNC turning center , 2008 .

[2]  Morteza Ebrahimi,et al.  Using mixture experimental design to study the effect of multifunctional acrylate monomers on UV cured epoxy acrylate resins , 2009 .

[3]  Sudipta De,et al.  Prediction of power output of a coal-fired power plant by artificial neural network , 2010, Neural Computing and Applications.

[4]  J. Cornell.  Experiments with Mixtures: Designs, Models and the Analysis of Mixture Data , 1982 .

[5]  大司 久保,et al.  ポリウレタンゴム基板を用いた Fe3.2Tb 合金薄膜の磁場誘起運動歪 , 2008 .

[6]  G. Geoffrey Vining,et al.  Split-Plot Designs and Estimation Methods for Mixture Experiments With Process Variables , 2002, Technometrics.

[7]  Shiren Wang,et al.  Enhancing thermal conductivity of glass fiber/polymer composites through carbon nanotubes incorporation , 2010 .

[8]  Keivan Ghoseiri,et al.  A simulated annealing approach for the multi-periodic rail-car fleet sizing problem , 2009, Comput. Oper. Res..

[9]  Hong Guo,et al.  Thermal conductivity of spark plasma sintering consolidated SiCp/Al composites containing pores: Numerical study and experimental validation , 2010 .

[10]  A. B. Strong,et al.  Plastics: Materials and Processing , 1996 .

[11]  C. J. Kuo,et al.  Optimization of the Dyeing Process and Prediction of Quality Characteristics on Elastic Fiber Blending Fabrics , 2008 .

[12]  S. K. Malhotra,et al.  Modeling and Optimization of Process Parameters for Defect Toleranced Drilling of GFRP Composites , 2006 .

[13]  M. Peruggia.  Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data , 2003 .

[14]  Sati Manrich,et al.  Response Surface Analysis for Competition between Thermooxidation and Polycondensation Reactions of PET Flakes. Part 1: Low Vacuum Atmosphere , 2010 .

[15]  大司 久保,et al.  水素化により駆動する La-Ni 合金薄膜の運動曲げ歪における操作温度の影響 , 2008 .

[16]  Serguei Mikhailov,et al.  Rapid and direct micro-machining/patterning of polymer materials by oxygen MeV ion beam irradiation through masks , 2011 .

[17]  S. S. Neoh,et al.  Dynamic Mechanical, Thermal, and Morphological Properties of Silane-Treated Montmorillonite Reinforced Polycarbonate Nanocomposites , 2009 .

[18]  Ahmed M. Azmy,et al.  Neural networks for predicting compressive strength of structural light weight concrete , 2009 .

[19]  Yongbin Han,et al.  Optimization of natural fermentative medium for selenium-enriched yeast by D-optimal mixture design. , 2009 .

[20]  R. N. Kumar,et al.  Influence of Process Variables on the Reactivity of Low Formaldehyde Emission Urea-Formaldehyde Resin , 2008 .

[21]  Jen-Chang Lin,et al.  Optimization of Mechanical Characteristics of Short Glass Fiber and Polytetrafluoroethylene Reinforced Polycarbonate Composites via D-Optimal Mixture Design , 2010 .

[22]  Chao-Ming Huang,et al.  Mixture design optimization of the composition of S, C, SnO2-codoped TiO2 for degradation of phenol under visible light. , 2010 .

[23]  R. Rebigan,et al.  Polymer micromachining for micro- and nanophotonics , 2006 .

[24]  Gabriela Carja,et al.  Contributions to the thermal degradation mechanism under air atmosphere of PTFE by TG–FTIR analysis: Influence of the additive nature , 2011 .

[25]  Dong-Mok Lee,et al.  Optimization of electric discharge machining using simulated annealing , 2009 .

[26]  D. Chung,et al.  Development of New Actuators for Flapping Wing Flight , 2007 .

[27]  Amir Hossein Gandomi,et al.  A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems , 2011, Neural Computing and Applications.

[28]  Yung-Kuang Yang,et al.  Determination of Optimal Parameters for SKD11 CNC Turning Process , 2008 .

[29]  Rui Huang,et al.  Mechanical and thermal expansion properties of glass fibers reinforced PEEK composites at cryogenic temperatures , 2010 .

[30]  Ahmet Avci,et al.  FRACTURE BEHAVIOR OF GLASS FIBER REINFORCED POLYMER COMPOSITE , 2004 .

[31]  K. Palanikumar,et al.  Modeling and Analysis of Cutting Force in Turning of GFRP Composites by CBN Tools , 2008 .

[32]  Jianxin Du,et al.  Flame retardancy and thermal properties of solid bisphenol A bis(diphenyl phosphate) combined with montmorillonite in polycarbonate , 2010 .

[33]  Takashi Takeuchi,et al.  Thermal conductivity of diamond particle dispersed aluminum matrix composites fabricated in solid–liquid co-existent state by SPS , 2011 .

[34]  Kejun Zhu,et al.  A dynamic all parameters adaptive BP neural networks model and its application on oil reservoir prediction , 2008, Appl. Math. Comput..

[35]  Masayuki Takashima,et al.  Improved thermal stability of crosslinked PTFE using fluorine gas treatment , 2008 .

[36]  H. Qiao.  A systematic computer-aided approach to cooling system optimal design in plastic injection molding , 2006 .