Multi-scale modeling to predict sub-surface damage applied to laser-assisted machining of a particulate reinforced metal matrix composite

2013 ◽  
Vol 213 (2) ◽  
pp. 153-160 ◽  
Author(s):  
Chinmaya R. Dandekar ◽  
Yung C. Shin
Keyword(s):  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Metal Matrix ◽  
Surface Damage ◽  
Laser Assisted Machining ◽  
Multi Scale ◽  
Scale Modeling ◽  
Multi Scale Modeling ◽  
Particulate Reinforced

Multi-scale modeling of thermal conductivity of SiC-reinforced aluminum metal matrix composite

2017 ◽  
Vol 51 (28) ◽  
pp. 3941-3953 ◽  
Author(s):  
Xiangyang Dong ◽  
Yung C Shin
Keyword(s):  
Thermal Conductivity ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Metal Matrix ◽  
Scale Model ◽  
Electronic Effects ◽  
Multi Scale ◽  
Aluminum Metal ◽  
Aluminum Metal Matrix Composite ◽  
Sic Particle

High thermal conductivity is one important factor in the selection or development of ceramics or composite materials. Predicting the thermal conductivity would be useful to the design and application of such materials. In this paper, a multi-scale model is developed to predict the effective thermal conductivity in SiC particle-reinforced aluminum metal matrix composite. A coupled two-temperature molecular dynamics model is used to calculate the thermal conductivity of the Al/SiC interface. The electronic effects on the interfacial thermal conductivity are studied. A homogenized finite element model with embedded thin interfacial elements is used to predict the properties of bulk materials, considering the microstructure. The effects of temperatures, SiC particle sizes, and volume fractions on the thermal conductivity are also studied. A good agreement is found between prediction results and experimental measurements. The successful prediction of thermal conductivity could help a better understanding and an improvement of thermal transport within composites and ceramics.

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