Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13384
Title: A statistical model for predicting the mechanical properties of nanostructured metals with bimodal grain size distribution
Authors: Zhu, L
Shi, S 
Lu, K
Lu, J
Keywords: Bimodal grain size distribution
Ductility
Percolation model
Strength
Weibull probability distribution
Issue Date: 2012
Publisher: Pergamon-Elsevier Science Ltd
Source: Acta Materialia, 2012, v. 60, no. 16, p. 5762-5772 How to cite?
Journal: Acta Materialia 
Abstract: A statistical analysis is employed to investigate the mechanical performance of nanostructured metals with bimodal grain size distribution. The contributions of microcracks in the plastic deformation are accounted for in the mechanism-based plastic model used to describe the strength and ductility of the bimodal metals. The strain-based Weibull probability distribution function and percolation analysis of microcracked solids are applied to predict the failure behavior of the bimodal metals. The numerical results show that the proposed model can describe the mechanical properties of the bimodal metals, including yield strength, strain hardening and uniform elongation. These predictions agree well with the experimental results. The stochastic approaches adopted in the proposed model successfully capture the failure behavior of bimodal coppers that are sensitive to grain size and the volume fraction of coarse grains in addition to the corresponding threshold for percolation. These results will benefit the optimization of both strength and ductility by controlling constituent fractions and the size of the microstructures in materials.
URI: http://hdl.handle.net/10397/13384
DOI: 10.1016/j.actamat.2012.06.059
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