An Analytical Model for Predicting the Yield Strength of Particulate-Reinforced Metal Matrix Nanocomposites with Consideration of Porosity

作者：Mirza F A; Chen D L^*

来源：Nanoscience and Nanotechnology Letters, 2012, 4(8): 794-800.

DOI：10.1166/nnl.2012.1394

• Metal-Matrix Nanocomposites (MMNCs)
• Yield Strength
• Porosity
• Modeling

It is difficult or impossible to eliminate completely the porosity during fabrication of nanocomposite materials. This paper was aimed at predicting the yield strength of particulate-reinforced metal matrix nanocomposites by incorporating the effect of porosity based on Zhang and Chen%26apos;s model. The influence of porosity has been taken into account along with the underlying strengthening mechanisms including Orowan, CTE (coefficient of thermal expansion) mismatch, and modified load-bearing effects. The model was validated using the experimental data of magnesium-based nanocomposites containing different types of nano-sized particles (namely Al2O3, Y2O3, MgO and SiC). The predicted yield strength of nanocomposites increased with increasing volume fraction of nanoparticles and decreasing volume fraction of porosity. The predicted results were in good agreement with the experimental data and more reasonable than those from the earlier models.

• 出版日期2012-8