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Original Articles

Control Model for an Elastomer Extrusion Process Obtained via a Comparative Analysis of Data Mining and Artificial Intelligence Techniques

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Pages 779-790 | Published online: 07 Jul 2010

REFERENCES

  • Qingfeng , W. ; Nanqiao , Z. ; Bing , L. ; Ping , Z. Study on the effect of axial vibration of screw in plasticating process (extrusion part) . Polym. Plastics Technol. Eng. 2003 , 47 , 318 – 324 .
  • Huang , Y. ; Gentle , C.-R. ; Hull , J.B. A comprehensive 3-D analysis of polymer melt flow in slit extrusion dies . Adv. Polym. Technol. 2004 , 23 , 111 – 124 .
  • Jiang , N. ; Zhu , C. Study on extrusion characteristics of the tri-screw extruder . Polym. Plastics Technol. Eng. 2008 , 47 , 590 – 594 .
  • Huang , G.-Q. ; Huang , H.-X. Optimizing parison thickness for extrusion blow molding by hybrid method . J. Mater. Proc. Technol. 2007 , 182 , 512 – 518 .
  • Chen , X. ; Gao , F. Profiling of injection velocity for uniform mold filling . Adv. Polym. Technol. 2006 , 25 , 13 – 21 .
  • Zhu , X.Z. ; Xie , Y.J. ; Yuan , H.Q. Numerical simulation of extrusion characteristics for co-rotating tri-screw extruder . Polymer-Plastics Technology and Engineering 2007 , 46 , 401 – 407 .
  • Kleiner , M. ; Schikorra , M. Simulation of welding chamber conditions for composite extrusion . J. Mater. Proc. Technol. 2006 , 177 , 587 – 590 .
  • Jansson , N. ; Hagstrand , P.-O. ; Wakeman , M.D. ; Manson , J.-A.E. Finite element modelling and testing of an injection moulded generic tow reinforced structure . Compos. Pt. B: Eng. 2005 , 36 , 487 – 495 .
  • Fung , C.-P. ; Kang , P.-C. Multi-response optimization in friction properties of PBT composites using Taguchi method and principle component analysis . J. Mater. Proc. Technol. 2005 , 170 , 602 – 610 .
  • White , J.L. ; Keum , J. ; Jung , H. ; Ban , K. ; Bumm , S. Corotating twin-screw extrusion reactive extrusion-devolatilization model and software . Polymer-Plast. Technol. Eng. 2006 , 45 , 539 – 548 .
  • Li , H.J. ; Qi , L.H. ; Han , H.M. ; Guo , L.J. Neural network modeling and optimization of semi-solid extrusion for aluminum matrix composites . J. Mater. Proc. Technol. 2004 , 151 , 126 – 132 .
  • Hans-Raj , K. ; Swarup-Sharma , R. ; Srivastava , S. ; Patvardhan , C. Modeling of manufacturing processes with ANNs for intelligent manufacturing . Inter. J. Mach. Tools Mftg. 2000 , 40 , 851 – 868 .
  • Huang , H. ; Lu , S. Modeling Parison formation in extrusion blow molding by neural networks . J. Appl. Polym. Sci. 2005 , 96 , 2230 – 2239 .
  • Li , Y.Y. ; Bridgwater , J. Prediction of extrusion pressure using an artificial neural network . Powder Technol. 2000 , 108 , 65 – 73 .
  • Qi , L.-H. ; Hou , J.-J. ; Cui , P.-L. ; Li , H.-J. Research on prediction of the processing parameters of liquid extrusion by BP network . J. Mater. Proc. Technol. 1999 , 95 , 232 – 237 .
  • Wu , C.-Y. ; Hsu , Y.-C. Optimal shape design of an extrusion die using polynomial networks and genetic algorithms . Inter. J. Adv. Mftg. Technol. 2002 , 19 , 79 – 87 .
  • Yarlagadda , P.K.D.V. Prediction of processing parameters for injection moulding by using an hybrid neural network . J. Eng. Mftg. 2001 , 215 , 1465 – 1470 .
  • Ordieres , J.B. ; López , L.M. ; Bello , A. ; Forcada , A. Intelligent methods helping the design of a manufacturing system for die extrusion rubbers . Inter. J. Computer Integr. Mftg. 2003 , 16 , 173 – 180 .
  • González , A. ; Pernía , A.V. ; Alba , F. ; García , A. A neural network-based approach for optimising rubber extrusion lines . Inter. J. Computer Integr. Mftg. 2007 , 20 , 828 – 837 .
  • Anguita , D. ; Boni , A. ; Tagliafico , L. SVM performance assessment for the control of injection moulding processes and plasticating extrusion . Inter. J. Syst. Sci. 2002 , 33 , 723 – 735 .
  • Martínez-de-Pisón , F.J. ; Barreto , C. ; Pernía , A.V. ; Alba , F. Modelling of an elastomer profile extrusion process using support vector machines (SVM) . J. Mater. Proc. Technol. 2008 , 197 , 161 – 169 .
  • Quinlan , J.R. Learning with continuous classes . Proc. Australian Joint Conf. on Art. Int. World Scientific 1992 , 343 – 348 .
  • Haykin , S. Neural Networks, A Comprehensive Foundation, , 2nd Ed. , Prentice Hall : New Jersey , 1999 .
  • Pernía-Espinoza , A.V. ; Ordieres-Meré , J.B. ; Martínez-de-Pisón , F.J. ; González-Marcos , A. TAO-robust backpropagation learning algorithm . Neural Networks 2005 , 18 , 191 – 204 .
  • Leroy , A.M. ; Rousseeuw , P.J. Robust Regression and Outlier Detection , John Wiley & Sons : New York , 1987 .
  • Aha , D. ; Kibler , D. Instance-based learning algorithms . Machine Learning 1991 , 6 , 37 – 66 .
  • Vapnik , V. The Nature of Statistical Learning Theory, , 2nd Ed. , Springer-Verlag : New York , 2000 .
  • Witten , H. ; Frank , E. Data Mining: Practical Machine Learning Tools and Techniques, , 2nd Ed. , Morgan Kaufmann : San Francisco , CA , 2005 .
  • R Development Core Team. R: A language and environment for statistical computing’. R Foundation for Statistical Computing, Vienna, Austria, 2008, URL http://www.R-project.org

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