Abbreviated Journal Title
Appl. Phys. Lett.
COMPOSITES; CONDUCTIVITY; CARBON; BEHAVIORS; Physics, Applied
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.
Applied Physics Letters
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.