The thermal conductivity of particulate composites by the use of a polyhedral model

被引:0
|
作者
J. Venetis
E. Sideridis
机构
[1] NTUA,Section of Mechanics, School of Applied Mathematics and Physical Sciences
来源
关键词
Thermal conductivity; Particulate composites; Periodic structure; Filler distribution; Particle configuration; Interphase;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, the authors introduce a body-centered polyhedral model capable of simulating the periodic structure of particulate composites, in order to estimate the thermal conductivity of a general class of this type of materials. This model takes into account the arrangement of internal and neighboring particles in the form of three distinct deterministic configurations, along with the concept of interphase on the thermal and mechanical properties of the composite, which is assumed to be macroscopically homogeneous and isotropic. Next, by means of this advanced multilayer model, an explicit analytical expression to evaluate the thermal conductivity of this type of composites is derived. The theoretical predictions were compared with the experimental results found in the literature, as well as with the theoretical values yielded by some reliable formulae derived from other workers, and a reasonable agreement was observed.
引用
收藏
页码:195 / 209
页数:14
相关论文
共 50 条
  • [41] An effective model for the thermal conductivity of nanoparticle composites/polymers
    Lichun Bian
    Chang Liu
    Acta Mechanica, 2020, 231 : 1639 - 1654
  • [42] A Percolation Model of Thermal Conductivity for Filled Polymer Composites
    Zhang, Guoqing
    Xia, Yanping
    Wang, Hui
    Tao, Yu
    Tao, Guoliang
    Tu, Shantung
    Wu, Haiping
    JOURNAL OF COMPOSITE MATERIALS, 2010, 44 (08) : 963 - 970
  • [43] A mathematical model for thermal expansion coefficient of periodic particulate composites
    E. Sideridis
    J. Venetis
    Computational Particle Mechanics, 2019, 6 : 29 - 44
  • [44] A mathematical model for thermal expansion coefficient of periodic particulate composites
    Sideridis, E.
    Venetis, J.
    COMPUTATIONAL PARTICLE MECHANICS, 2019, 6 (01) : 29 - 44
  • [45] A micromechanical and numerical model for effective thermal conductivity of areca fiber and coconut shell particulate-reinforced hybrid composites
    Chowdari, G. Kishore
    Prasad, D. V. V. Krishna
    Devireddy, S. B. R.
    INTERNATIONAL JOURNAL OF COMPUTATIONAL MATERIALS SCIENCE AND ENGINEERING, 2022, 11 (03)
  • [46] A supervised machine learning approach for accelerating the design of particulate composites: Application to thermal conductivity
    Hashemi, Mohammad Saber
    Safdari, Masoud
    Sheidaei, Azadeh
    COMPUTATIONAL MATERIALS SCIENCE, 2021, 197
  • [47] An efficient network model for determining the effective thermal conductivity of particulate thermal interface materials
    Kanuparthi, Sasanka
    Subbarayan, Ganesh
    Siegmund, Thomas
    Sammakia, Bahgat
    IEEE TRANSACTIONS ON COMPONENTS AND PACKAGING TECHNOLOGIES, 2008, 31 (03): : 611 - 621
  • [48] The Thermal Conductivity of Periodic Particulate Composites as Obtained from a Crystallographic Mode of Filler Packing
    Venetis, John
    Sideridis, Emilio Paul
    JOURNAL OF COMPOSITES SCIENCE, 2018, 2 (04):
  • [49] AN IMPROVED NETWORK MODEL FOR DETERMINING THE EFFECTIVE THERMAL CONDUCTIVITY OF PARTICULATE THERMAL INTERFACE MATERIALS
    Dan, Bo
    Kanuparthi, Sasanka
    Subbarayan, Ganesh
    Sammakia, Bahgat G.
    IPACK 2009: PROCEEDINGS OF THE ASME INTERPACK CONFERENCE 2009, VOL 2, 2010, : 69 - +
  • [50] Use of high-thermal conductivity composites in cryogenic systems
    Horton, WT
    Batty, JC
    CRYOGENIC OPTICAL SYSTEMS AND INSTRUMENTS VII, 1996, 2814 : 217 - 227