Study on stress distribution of SiC/Al composites based on microstructure models with microns and nanoparticles

Author:

Gao Zi-han1,Gao Han-jun1,Zhang Yi-du1,Wu Qiong1,Chen Shu-guang1,Zhou Xin2

Affiliation:

1. State Key Laboratory of Virtual Reality Technology and System, School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics , Beijing , 100191 , China

2. Shenyang Liming Aero-Engine (Group) Ltd , Shenyang , 110043 , China

Abstract

Abstract The simulation model represents the microstructure that can accurately analyze and predict composites’ micro-stresses and mechanical properties. The conventional representative volume element (RVE) model can only contain one single-particle form. It makes that all the particles in the simulation model have the same shape, which is significantly different from actual particles. In the present study, four typical particle-modeling methods were adopted to establish geometric models to analyze the particle morphology and RVE size selection rules. Particles with the same granularity and similar volume were selected to generate RVE models with randomly distributed particles to predict the mechanical properties and analyze the micro-stress. The micro-stress distribution of the matrix and particles conformed to the rule of normal distribution, while the stress of the interphase does not conform to this law. The particle morphology has a negligible effect on the stress distribution of the matrix; however, it has a significant influence on the stress distribution of particles and interphases, especially during plastic deformation. Furthermore, the micro-stress of composites containing nanoparticles also conforms to the above law, but the stress of the interphase is more minor, and the stress of particles is more dispersed than composites with micron particles.

Publisher

Walter de Gruyter GmbH

Subject

Surfaces, Coatings and Films,Process Chemistry and Technology,Energy Engineering and Power Technology,Biomaterials,Medicine (miscellaneous),Biotechnology

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