Numerical simulation of the effect of particle spatial distribution and strength on tensile behavior of particle reinforced composites

被引:57
|
作者
Ayyar, A. [2 ]
Crawford, G. A. [1 ]
Williams, J. J. [1 ]
Chawla, N. [1 ,2 ]
机构
[1] Arizona State Univ, Fulton Sch Engn, Sch Mat, Tempe, AZ 85287 USA
[2] Arizona State Univ, Dept Mech & Aerosp Engn, Fulton Sch Engn, Tempe, AZ 85287 USA
关键词
Metal matrix composite; Clustering; Fracture; Finite element method (FEM);
D O I
10.1016/j.commatsci.2008.04.009
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The spatial distribution of reinforcement particles significantly influences the tensile behavior of particle reinforced composites. In this study, we have modeled the effect of particle clustering in a model metal matrix composite, SiC particle reinforced Al. The SiC particles were modeled as purely elastic, while the Al matrix was modeled as elastic-plastic. To study the effect of particle distribution, the SiC particles were represented as two-dimensional circular particles of uniform diameter. Three particle distributions ordered, random, and clustered were evaluated. The degree of particle clustering was quantified using the coefficient of variance of the mean near-neighbor distance method. The evolution of damage by particle fracture was included in the model. The cases for (a) all SiC particles having uniform fracture strength and (b) variable fracture strength were considered (using a Weibull distribution in strength). The effects of particle distribution were elucidated and are discussed. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:496 / 506
页数:11
相关论文
共 50 条
  • [1] Numerical simulation of the influence of particle clustering on tensile behavior of particle-reinforced composites
    Abedini, A.
    Butcher, C.
    Chen, Z. T.
    COMPUTATIONAL MATERIALS SCIENCE, 2013, 73 : 15 - 23
  • [2] Numerical Simulation of the Effect of Particle Random Spatial Distribution on the Thermal Conductivity of Composites
    Zhang, Xiaoguang
    Ji, Yingjie
    Wang, Shigang
    Li, Xiao
    ADVANCED POLYMER PROCESSING III, 2013, 561 : 130 - +
  • [3] Fracture mechanical model for tensile strength of particle reinforced elastomeric composites
    Lee, Dong-Joo
    MECHANICS OF MATERIALS, 2016, 102 : 54 - 60
  • [4] Numerical Simulation of Temperature Rise Distribution of Particle Reinforced Composites Under Thermal Loads
    Yang W.
    Wang J.
    Huang Y.
    Zhou Q.
    Yang Y.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2019, 53 (11): : 1342 - 1351
  • [5] Numerical Simulation of Interfacial Debonding Crack in Particle Reinforced Composites
    Guo, Xianzhang
    Zhang, Juanxia
    Liang, Zhengzhao
    Zhang, Yafang
    PHYSICAL AND NUMERICAL SIMULATION OF MATERIAL PROCESSING VI, PTS 1 AND 2, 2012, 704-705 : 973 - +
  • [6] Tensile and compressive strength of palm kernel shell particle reinforced polyester composites
    Ike-Eze, I. C. Ezema
    Uyor, U. O.
    Aigbodion, V. S.
    Omah, A. D.
    Ude, S. N.
    Daniel-Nkpume, C. C.
    MATERIALS RESEARCH EXPRESS, 2019, 6 (11)
  • [7] On the correlation between hardness and tensile strength in particle reinforced metal matrix composites
    Shen, YL
    Chawla, N
    MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2001, 297 (1-2): : 44 - 47
  • [8] Experimental and Numerical Investigations of Tensile Properties of SiC Particle-Reinforced Composites
    Li, Datao
    Gao, Yingrong
    Wei, Xiahui
    Wang, Binhua
    Advanced Engineering Materials, 2024, 26 (22)
  • [9] Numerical Simulation for Mechanical Behavior of Carbon Black Filler Particle Reinforced Rubber Matrix Composites
    Li, Qing
    Yang, Xiaoxiang
    APPLIED MECHANICS AND CIVIL ENGINEERING, 2012, 137 : 1 - 6
  • [10] Computational micromechanics of composites: The effect of particle spatial distribution
    Segurado, J
    LLorca, J
    MECHANICS OF MATERIALS, 2006, 38 (8-10) : 873 - 883