• DocumentCode
    3210067
  • Title

    Computer aided optimum design of friction materials using uniform design

  • Author

    Fu, Hua ; Fu, Li ; Zhang, Guang-lei ; Liu, Ai-Ping

  • Author_Institution
    Inst. of Mater. Sci. & Eng., Shijiazhuang Tiedao Univ., Shijiazhuang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 Sept. 2010
  • Firstpage
    174
  • Lastpage
    177
  • Abstract
    The application of Uniform design in friction material formulation and a multi-layer back propagation artificial neural network (BPANN) methods of Data Handling are investigated for modeling and prediction of the wear properties of composites. The friction and wear properties show that Uniform design can distribute the experiment points evenly so as to have fewer number of tests. With computer aided artificial neural network (ANN) modeling and optimization technology, the relationships between factors and properties can be predicted.
  • Keywords
    CAD; backpropagation; data handling; friction; neural nets; production engineering computing; artificial neural network; computer aided optimum design; data handling; friction material formulation; multilayer back propagation; optimization technology; uniform design; Carbon; Friction; Materials; Optical fiber networks; Powders; Steel; artificial neural network (ANN); composite; prediction; uniform design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7705-0
  • Type

    conf

  • DOI
    10.1109/CINC.2010.5643761
  • Filename
    5643761