Experimental Investigation of Designed Parameters on Dimension Shrinkage of Injection Molded Thin-Wall Part by Integrated Response Surface Methodology and Genetic Algorithm: A Case Study

REFERENCES

• Oktem , H. ; Erzurumlu , T. ; Uzman , I. Application of Taguchi optimization technique in determining plastic injection molding process parameters for a thin-shell part . Materials and Design 2007 , 28 , 1271 – 1278 .
   Web of Science ®Google Scholar
• Ozcelik , B. ; Erzurumlu , T. Determination of effecting dimensional parameters on warpage of thin shell plastic parts using integrated response surface method and genetic algorithm . Int. Comm. Heat Mass Transfer 2005 , 32 , 1085 – 1094 .
   Web of Science ®Google Scholar
• Tang , S.H. ; Tan , Y.J. ; Sapuan , S.M. ; Sulaiman , S. ; Ismail , N. ; Samin , R. The use of Taguchi method in the design of plastic injection mould for reducing warpage . J. Materials Processing Technology 2007 , 182 , 418 – 426 .
   Web of Science ®Google Scholar
• Hassan , H. ; Regnier , N. ; Bot , C.L. ; Defaye , G. 3D study of cooling system effect on the heat transfer during polymer injection molding. Int . J. Thermal Sciences 2010 , 49 ( 1 ), 161 – 169 .
   Google Scholar
• Kurtaran , H. ; Erzurumlu , T. Efficient warpage optimization of thin shell plastic parts using response surface methodology and genetic algorithm . Int. J. Adv. Manuf. Technol. 2006 , 27 , 468 – 472 .
   Web of Science ®Google Scholar
• Kuppan , P. ; Rajadurai , A. ; Narayanan , S. Influence of EDM process parameters in deep hole drilling of inconel 718 . Int. J. Adv. Manuf. Technol. 2008 , 38 , 74 – 84 .
   Web of Science ®Google Scholar
• Hewidy , M.S. ; El-Taweel , T.A. ; El-Safty , M.F. Modeling the machining parameters of wire electrical discharge machining of Inconel 601 using RSM . J. Mater. Process Technol. 2005 , 169 , 328 – 336 .
   Web of Science ®Google Scholar
• Chiang , K.T. Modeling and optimization of designing parameters for a parallel-plain fin heat sink with confined impinging jet using the response surface methodology . Applied Thermal Engineering 2007 , 27 , 2473 – 2482 .
   Web of Science ®Google Scholar
• Myers , R.H. ; Montgomery , D.C. Response Surface Methodology ; John Wiley and Sons, Inc. : New York , 1995 .
   Google Scholar
• Moldflow Plastics Insight Release 5.0, 2004.
   Google Scholar
• Gen , M. ; Cheng , R. Genetic Algorithms and Engineering Optimization ; Wiley : New York , 2000 .
   Google Scholar
• Goldberg , D.E. Genetic Algorithms in Search, Optimization and Machine Learning ; Addison-Wesley : New York , 1989 .
   Google Scholar
• Gosselin , L. ; Tye-Gingras , M. ; Mathieu-Potvin , F. Review of utilization of genetic algorithms in heat transfer problems . Int. J. Heat Mass Trans. 2009 , 52 ( 9–10 ), 2169 – 2188 .
   Web of Science ®Google Scholar
• Jayaram , M.A. ; Nataraja , M.C. ; Ravikumar , C.N. Elitist genetic algorithm models: Optimization of high performance concrete mixes . Materials and Manufacturing Process 2009 , 24 ( 2 ), 225 – 229 .
   Web of Science ®Google Scholar
• Chakraborti , N. Genetic algorithms in materials design and processing . International Materials Reviews 2004 , 49 ( 3–4 ), 246 – 260 .
   Web of Science ®Google Scholar
• Coello , C.A.C. ; Becerra , R.L. Evolutionary multiobjective optimization in materials science and engineering . Materials and Manufacturing Process 2009 , 24 ( 2 ), 119 – 129 .
   Web of Science ®Google Scholar
• Paszkowicz , W. Genetic algorithms, a nature-inspired tool: Survey of applications in materials science and related fields . Materials and Manufacturing Process 2009 , 24 ( 2 ), 174 – 197 .
   Web of Science ®Google Scholar