• DocumentCode
    2979305
  • Title

    Applying Research on Creep Constitutive Model of LC4 Aluminium Alloy Based on BC-RBFNN

  • Author

    Yu, Min ; Peng, Xianghua ; Luo, Yingshe ; Yin, Shuiping

  • Author_Institution
    Inst. of Rheological Mech. & Mater. Eng., Central South Univ. of Forestry & Technol., Changsha, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Creep is an extremely harmful phenomenon which can not be neglected at high temperature. As metal is increasingly used in high temperature structure, investigation on its creep at high temperature has actual significance. In this paper, the creep constitutive relationship of LC4 aluminum alloy under constant stress has been investigated by using creep testing data of LC4 aluminium alloy obtained under the same stress level and different temperature as knowledge base, and combining the characteristics of rheological forming of materials and Based on Clustering Radial Basis Function Neural Network (BC-RBFNN). A creep model based on BC-RBFNN has been obtained and compared, which validates that this model has higher precision and generalizing ability.
  • Keywords
    aluminium alloys; aluminium manufacture; creep; creep testing; internal stresses; mechanical engineering computing; radial basis function networks; AlJkJk; LC4 aluminium alloy; clustering radial basis function neural network; creep constitutive model; creep testing; rheological forming; stress level; Creep; Data models; Mathematical model; Metals; Stress; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2010 International Conference on
  • Conference_Location
    Ningbo
  • Print_ISBN
    978-1-4244-7871-2
  • Type

    conf

  • DOI
    10.1109/ICMULT.2010.5629855
  • Filename
    5629855