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Computational Study of the Effect of...

Zhao, Dongfang.

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Computational Study of the Effect of Interparticle Contact in Conductive Properties of Random Particulate Systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational Study of the Effect of Interparticle Contact in Conductive Properties of Random Particulate Systems./
Author:	Zhao, Dongfang.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	93 p.
Notes:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10259314
ISBN:	9781369752502

Computational Study of the Effect of Interparticle Contact in Conductive Properties of Random Particulate Systems.
Zhao, Dongfang.

Computational Study of the Effect of Interparticle Contact in Conductive Properties of Random Particulate Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 93 p.

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.S.)--University of Denver, 2017.

The effective conductivity of random particulate material system is computationally investigated using the Monte Carlo scheme and finite element method. A cubic system consisting of randomly-dispersed, equal-sized, deformable ellipsoids are modeled in this study. The steady-state conduction analysis along with a finite element analysis are performed to evaluate the electrical or thermal conductivity for the mechanical contact system. To represent more realistic material system, interfacial friction and gap conductance (or contact resistance) are included among the contacting particles. The Monte Carlo simulations are implemented to give a quantitative relationship between the effective conductivity and the inclusion volume fraction. Several parametric studies are performed to quantify the relationships, for example, (1) the particle number, (2) the particle shape, (3) the random distribution of particle, (4) the interfacial friction, (5) gap conductance. The study reveals the nonlinear relationship of the gap conductance with respect to the overall conductivity. Therefore, the mechanical properties of particulate system are strongly dependent on the interactions among inclusions. The study of microstructure of material is merited in advanced composite manufacture.

ISBN: 9781369752502Subjects--Topical Terms:

649730
Mechanical engineering.

Computational Study of the Effect of Interparticle Contact in Conductive Properties of Random Particulate Systems.
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245 1 0 $a Computational Study of the Effect of Interparticle Contact in Conductive Properties of Random Particulate Systems.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 93 p.
500 $a Source: Masters Abstracts International, Volume: 56-04.
500 $a Adviser: Yun-bo Yi.
502 $a Thesis (M.S.)--University of Denver, 2017.
520 $a The effective conductivity of random particulate material system is computationally investigated using the Monte Carlo scheme and finite element method. A cubic system consisting of randomly-dispersed, equal-sized, deformable ellipsoids are modeled in this study. The steady-state conduction analysis along with a finite element analysis are performed to evaluate the electrical or thermal conductivity for the mechanical contact system. To represent more realistic material system, interfacial friction and gap conductance (or contact resistance) are included among the contacting particles. The Monte Carlo simulations are implemented to give a quantitative relationship between the effective conductivity and the inclusion volume fraction. Several parametric studies are performed to quantify the relationships, for example, (1) the particle number, (2) the particle shape, (3) the random distribution of particle, (4) the interfacial friction, (5) gap conductance. The study reveals the nonlinear relationship of the gap conductance with respect to the overall conductivity. Therefore, the mechanical properties of particulate system are strongly dependent on the interactions among inclusions. The study of microstructure of material is merited in advanced composite manufacture.
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