Year: 2019
Type: article
Abstract: MOHNISH PESWANIShape memory smart materials that are self-fixing and auto-adaptive upon the application of a stimuli could play a key role in the manufacturing of next generation intelligent technologies.In particular, the development of shape memory polymer composites that exhibit variable thermal conductivity upon straining requires an in-depth understanding of the material, mechanical, and thermal properties of the respective polymer and filler materials as well as the composite itself.For this work, a multi-block thermoplastic polyurethane copolymer is used as the shape memory matrix with cellulose nanocrystals (CNCs) and carbon nanofibers (CNF) as fillers.The shape memory polymer composite is thermally characterized and its behavior explained using knowledge of filler alignment and crystallinity that vary upon straining.
Author: Peswani, Mohnish
Institution: Case Western Reserve University
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6987146760