TY - EJOU
AU - Wei, Xing
AU - Chen, Wen
AU - Chen, Bin
TI - Minimizing Thermal Residual Stress in Ni/Al2O3 Functionally Graded Material Plate by Volume Fraction Optimization
T2 - Computers, Materials \& Continua
PY - 2015
VL - 48
IS - 1
SN - 1546-2226
AB - The thermal residual stress in the fabrication of functionally graded material (FGM) systems can give rise to various mechanical failures. For a FGM system under a given fabrication environment, the thermal residual stresses are determined by the spatial distribution of its constituent components. In this study, we optimize a Ni/Al2O3 FGM plate aiming at minimizing the thermal residual stresses through controlling its compositional distribution. Material properties are graded in the thickness direction following a power law distribution in terms of the volume fractions of constituents (P-FGM). An analytical model and a hybrid genetic algorithm with the pattern search are employed to predict and to minimize the thermal residual stresses, respectively. Simulation results show that an optimal design of the FGM plate could help fulfill its potential in reducing the thermal residual stresses.
KW - Functionally graded material
KW - Ni/Al2O3
KW - Composition optimization
KW - Thermal residual stresses
KW - Hybrid genetic algorithm
DO - 10.3970/cmc.2015.048.001