Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/165406
Title: Evolution of shore hardness under uniaxial tension/compression in body-temperature programmable elastic shape memory hybrids
Authors: Naveen, Balasundaram Selvan
Jose, Nivya Theresa
Krishnan, Pranav
Mohapatra, Subham
Pendharkar, Vivek
Koh, Nicholas Yuan Han
Lim, Woon Yong
Huang, Wei Min
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: Naveen, B. S., Jose, N. T., Krishnan, P., Mohapatra, S., Pendharkar, V., Koh, N. Y. H., Lim, W. Y. & Huang, W. M. (2022). Evolution of shore hardness under uniaxial tension/compression in body-temperature programmable elastic shape memory hybrids. Polymers, 14(22), 4872-. https://dx.doi.org/10.3390/polym14224872
Journal: Polymers 
Abstract: Body-temperature programmable elastic shape memory hybrids (SMHs) have great potential for the comfortable fitting of wearable devices. Traditionally, shore hardness is commonly used in the characterization of elastic materials. In this paper, the evolution of shore hardness in body-temperature programmable elastic SMHs upon cyclic loading, and during the shape memory cycle, is systematically investigated. Upon cyclic loading, similar to the Mullins effect, significant softening appears, when the applied strain is over a certain value. On the other hand, after programming, in general, the measured hardness increases with increase in programming strain. However, for certain surfaces, the hardness decreases slightly and then increases rapidly. The underlying mechanism for this phenomenon is explained by the formation of micro-gaps between the inclusion and the matrix after programming. After heating, to melt the inclusions, all samples (both cyclically loaded and programmed) largely recover their original hardness.
URI: https://hdl.handle.net/10356/165406
ISSN: 2073-4360
DOI: 10.3390/polym14224872
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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