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A Resistor Network Model for the Determination of Electrical and Thermal Properties of Nanocomposites.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	A Resistor Network Model for the Determination of Electrical and Thermal Properties of Nanocomposites./
作者:	Higginson, Clayton.
面頁冊數:	1 online resource (110 pages)
附註:	Source: Masters Abstracts International, Volume: 57-02.
Contained By:	Masters Abstracts International57-02(E).
標題:	Mechanical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355383287

A Resistor Network Model for the Determination of Electrical and Thermal Properties of Nanocomposites.
Higginson, Clayton.

A Resistor Network Model for the Determination of Electrical and Thermal Properties of Nanocomposites. - 1 online resource (110 pages)

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.S.)--Rice University, 2017.

Includes bibliographical references

Superior electrical, thermal, and mechanical properties of carbon nanotubes have made them popular candidates for use as fillers in polymer nanocomposites. This thesis presents a numerical model developed to determine the electrical and heat transport properties of these materials via percolation theory. Realistic nanocomposite representative volume elements are generated in three-dimensional space according to user-defined input parameters. A spanning network algorithm is used to search for connections between nanotubes. Interconnected nanotubes are then converted into equivalent resistor networks. The resistor network is then examined using finite element analysis through Kirchoff's current law for electrical transport, and Fourier's law for thermal transport. Monte Carlo simulations eliminate statistical variation at each volume fraction of nanotube filler. Several boundary treatment methods are examined to determine which is the most computationally efficient. The model is validated through comparison to experimental data reported in the literature. The presented model is unique in that it can predict both the electrical and thermal conductivity of carbon nanotube based polymer nanocomposites.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355383287Subjects--Topical Terms:

557493
Mechanical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

A Resistor Network Model for the Determination of Electrical and Thermal Properties of Nanocomposites.
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504 $a Includes bibliographical references
520 $a Superior electrical, thermal, and mechanical properties of carbon nanotubes have made them popular candidates for use as fillers in polymer nanocomposites. This thesis presents a numerical model developed to determine the electrical and heat transport properties of these materials via percolation theory. Realistic nanocomposite representative volume elements are generated in three-dimensional space according to user-defined input parameters. A spanning network algorithm is used to search for connections between nanotubes. Interconnected nanotubes are then converted into equivalent resistor networks. The resistor network is then examined using finite element analysis through Kirchoff's current law for electrical transport, and Fourier's law for thermal transport. Monte Carlo simulations eliminate statistical variation at each volume fraction of nanotube filler. Several boundary treatment methods are examined to determine which is the most computationally efficient. The model is validated through comparison to experimental data reported in the literature. The presented model is unique in that it can predict both the electrical and thermal conductivity of carbon nanotube based polymer nanocomposites.
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