scholarly journals Investigation of Coating Layer to Reduce Thermal Stresses in Steel Fiber Reinforced Aluminum Metal Matrix Composite

2011 ◽  
Vol 16 (1) ◽  
pp. 226-235 ◽  
Author(s):  
Fuat Okumuş
Keyword(s):  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Metal Matrix ◽  
Thermal Stresses ◽  
Steel Fiber ◽  
Coating Layer ◽  
Fiber Reinforced ◽  
Aluminum Metal ◽  
Aluminum Metal Matrix Composite

Thermal Behavior of Aluminum Metal-Matrix Composite During Cooling Process

2001 ◽  
Author(s):  
F. Okumuş ◽  
A. Turgut
Keyword(s):  
Finite Element ◽  
Thermal Behavior ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Metal Matrix ◽  
Thermal Stresses ◽  
Cooling Process ◽  
Aluminum Metal ◽  
Aluminum Metal Matrix Composite ◽  
Stainless Steel Fiber

Abstract The paper presents a thermal behavior analysis of metal matrix composite lamina and laminates during a cooling process. A long stainless steel fiber reinforced aluminum metal matrix composite lamina and laminate are used for this purpose. Metal matrix composites were manufactured by using modulus under the action of 30 MPa pressure and heating up to 600 °C. The thermal stresses generated during cooling have a profound effect on the distortion and strength of the composite materials. In this study, thermal stresses, residual stresses and effective thermal expansion coefficients as a function of orientation angle of the aluminum metal matrix composite during a cooling process are investigated. The finite element method was used for thermal stress analysis. For this purpose, four noded rectangular elements were used in the ANSYS finite element code.

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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