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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5629855