@Article{cmc.2015.048.001,
AUTHOR = {Xing  Wei, Wen  Chen, Bin  Chen},
TITLE = {Minimizing Thermal Residual Stress in Ni/Al<sub>2</sub>O<sub>3</sub> Functionally Graded Material Plate by Volume Fraction Optimization},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {48},
YEAR = {2015},
NUMBER = {1},
PAGES = {1--23},
URL = {http://www.techscience.com/cmc/v48n1/22813},
ISSN = {1546-2226},
ABSTRACT = {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/Al<sub>2</sub>O<sub>3</sub> 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.},
DOI = {10.3970/cmc.2015.048.001}
}