A Model for Predicting the Failure Behavior of Bimodal Nanocrystalline Materials

2014 ◽  
Vol 1081 ◽  
pp. 132-137
Author(s):  
Song Feng Tian ◽  
Hong Jian Yu ◽  
Ying Guang Liu ◽  
Rong Yuan Ju ◽  
Xiao Dong Mi ◽  
...  

Giving a bimodal grain size distribution in nanocrystalline materials can effectively achieve both high strength and high ductility. Here we propose a theoretical model to study the failure behavior of nc materials with bimodal grain size distribution. The dependence of failure properties on grain size distribution were calculated. Numerical results show the strength and ductility of bimodal nanocrystalline materials are sensitive to grain size and the volume fraction of coarse grains.

2017 ◽  
Vol 727 ◽  
pp. 432-437
Author(s):  
Ying Guang Liu ◽  
Shi Bing Zhang ◽  
Zhong He Han ◽  
Xiao Yan Zhu

Nanostructured Cu-Ag alloys with bimodal grain size distribution were prepared and their tensile deformation behaviors were studied. The alloys were processed by hot isostatic pressing of blends of nanoand micrometer-sized powder particles. The microstructure of the alloys consisted of nanograins with an average grain size of 40 nm and coarse-grains with an average grain size of 30 um. The bimodal structured alloy exhibited high tensile strengths 522 MPa and a large plastic strain to failure approximately 30%. Simultaneously, Their tensile stress-strain curves displayed a long work-hardening region, and their tensile ductility increased with increasing coarse-grained volume fraction. The high strength primarily results from the contribution of nanograins, while the enhanced ductility may be attributed to the improved strain hardening capability by the presence of coarse grains.


Author(s):  
Anna Dobkowska ◽  
Boguslawa Adamczyk – Cieślak ◽  
Dariusz Kuc ◽  
Eugeniusz Hadasik ◽  
Tomasz Płociński ◽  
...  

RSC Advances ◽  
2014 ◽  
Vol 4 (98) ◽  
pp. 55383-55387 ◽  
Author(s):  
Nan Xu ◽  
Weimin Li ◽  
Ming Zhang ◽  
Gaiqing Zhao ◽  
Xiaobo Wang

A novel reinforcing mechanism for the tribological performance based on a bimodal grain size distribution is reported.


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