Abbreviated Journal Title
Appl. Phys. Lett.
Keywords
COMPOSITES; CONDUCTIVITY; CARBON; BEHAVIORS; Physics, Applied
Abstract
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.
Journal Title
Applied Physics Letters
Volume
106
Issue/Number
8
Publication Date
1-1-2015
Document Type
Article
DOI Link
Language
English
First Page
4
WOS Identifier
ISSN
0003-6951
Recommended Citation
Shen, He; Mark, August; Thompson, Kenneth; Xu, Yunjun; Liang, Fei; Gou, Jihua; and Mabbott, Bob, "Thermal modeling and coefficient identification of shape memory polymer nanocomposites structure" (2015). Faculty Bibliography 2010s. 6798.
https://stars.library.ucf.edu/facultybib2010/6798
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Comments
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