Thermal modeling and coefficient identification of shape memory polymer nanocomposites structure

An increasing amount of research has been conducted on developing new shape memory polymer nanocomposite structures. Estimating thermal properties of these types of structures is a crucial step towards their successful application. In this paper, a finite element based thermal model is proposed, of...

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Bibliographic Details
Published in:Applied physics letters 2015-02, Vol.106 (8)
Main Authors: Shen, He, Mark, August, Thompson, Kenneth, Xu, Yunjun, Liang, Fei, Gou, Jihua, Mabbott, Bob
Format: Article
Language:English
Subjects:
Applied physics
Finite element method
Mathematical models
Nanocomposites
Nonlinear programming
Polymers
Shape memory
Thermal analysis
Thermodynamic properties
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Summary:An increasing amount of research has been conducted on developing new shape memory polymer nanocomposite structures. Estimating thermal properties of these types of structures is a crucial step towards their successful application. In this paper, a finite element based thermal model is proposed, of which the coefficients are identified using a nonlinear programming method in a nested loop. The model and identification results are validated in three material samples.
ISSN:0003-6951
1077-3118
DOI:10.1063/1.4913804