Effect of Process Parameters on Mechanical Properties of Aluminum Composite Foam Developed by Friction Stir Processing

Author(s):  
Sachin Rathore ◽  
Ratnesh Kumar Raj Singh ◽  
Kunwar Laiq Ahmad Khan

The underwater friction stir processing is used for development of aluminum metal matrix composite (AA2219-Y2O3) foam. For development of foam, holes with different diameter in the mid thickness of plate were filled with a mixture of TiH2 and aluminum powder and underwater friction stir processing was used to mix this mixture in aluminum metal matrix composite. Then precursors extracted from the processed zone and heated upto 650°C in a furnace for development of foam. The effect of diameter of hole, number of passes and the tool rotation direction has been studied on the foam cell size and static and dynamic compressive behavior of the foam. It is found that as the diameter of hole increases, the size of pores increases. The distribution of pores is better with higher number of passes and increasing the hole diameter. The quality of foam further improves by reversing the tool rotation direction. The developed foam has different pore size varies from 0.7 to 2.7 mm depends on the FSP parameters. Based on the size of pores and their distribution the relative density ranges from 0.1 to 0.78. The foam produced with 4 mm hole diameter has best static and dynamic compression properties.

2018 ◽  
Vol 777 ◽  
pp. 17-21 ◽  
Author(s):  
Hamed Mofidi Tabatabaei ◽  
Tetta Tajima ◽  
Tadashi Nishihara

In present study, possibility of developing a new magnetic aluminum-based composite material by using principles of friction stir forming (FSF) is studied. Friction stir forming is a new materials forming technique which uses frictional heat to plasticize and plastically deform the alloy. Local magnetizing and local hardening of A6061 aluminum alloy is discussed by attempts of embedding and dispersing iron oxide powder and steel balls into A6061 aluminum alloy through spotted friction stir forming. Experiments revealed that FSF can be used to mechanically interlock steel balls and iron oxide with aluminum alloy and develop an aluminum metal matrix composite with improved magnetic properties. Results are discussed in terms of microstructural observation, hardness and magnetic properties.


Author(s):  
G Girish ◽  
V Anandakrishnan

In this work, an Al–Zn–Mg–Cu/TiC metal–matrix composite was fabricated through recursive friction stir processing, and its microstructure, hardness, and tribological properties were investigated. Microstructure examination revealed a homogeneous dispersion of TiC particles in the matrix after six recursive passes. The grains were significantly refined and microhardness of the composite improved due to the presence of TiC particles. Friction coefficient and wear rate of the composite went up with an increase in the applied load and dropped significantly at higher sliding velocities. The morphology of the wear specimens experimented under different testing conditions was analyzed and the corresponding wear mechanisms discussed.


2017 ◽  
Vol 51 (28) ◽  
pp. 3941-3953 ◽  
Author(s):  
Xiangyang Dong ◽  
Yung C Shin

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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