Improvement and Optimization of the Hardness for the Aluminum Metal Matrix Composite Using Eggshell

2021 ◽  
Vol 1039 ◽  
pp. 42-50
Author(s):  
Waleed T. Rashid ◽  
Khalid Rashid

This research examines the effect of size and weight fraction of the eggshell particles added on the hardening of the Al metal reinforced by eggshell Particles using the program MINITAB 16. Powder technology method has been used to produce a composite material, The composite material was obtained by adding different weight fractions (0,2, 6,10 and 12 wt. %) and the size (100,240,350,510and 670um) of eggshell particles to aluminum powder. It samples was composed by using pressing of single action then accompanied directly by process of sintering at 474°C under the inert gas effect conditions. it was concluded that the best hardening of (72.6971 Mpa) can be obtained when the variables were (Xi = 12 wt%) and (X2 =100um). The lights value of Xi and X2, obtained using the programs, was used in practice giving hardening (74Mpa) which it nearly similar to that obtained by program. Also results show that the variables weight fraction (X1) & Particle Size (X2) have a significant effect on hardening. Moreover, the hardening increases with increasing weight fraction. While hardening value decreases gradient with down eggshell particle size.

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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