Distributed sensing based real-time process monitoring of shape memory polymer components

Herath, Madhubhashitha ORCID: https://orcid.org/0000-0002-6796-0802 and Emmanuel, Chris and Jeewantha, Janitha ORCID: https://orcid.org/0000-0002-0244-6159 and Epaarachchi, Jayantha and Leng, Jinsong (2022) Distributed sensing based real-time process monitoring of shape memory polymer components. Journal of Applied Polymer Science. pp. 1-11. ISSN 0021-8995


Abstract

Shape memory polymer (SMP) materials have the capacity to undergo large deformations imposed by mechanical loading, hold a temporary shape, and then recover their original shape upon exposure to a particular external stimulus. The fiber reinforced shape memory polymer composites (SMPCs) with enhanced structural performances give a boost to breakthrough technologies for large-scale engineering applications. This article presents a novel technique for distributed optical fiber sensor (DOFS) embedded SMPCs intended for real-time process monitoring of large-scale engineering applications such as deployable space structures. Herein a carbon fiber reinforced SMPC was tested under a three-point flexural shape memory process and the DOFS data were acquired through optical backscatter reflectometry. Experiments were conducted in a temperature controlled thermal chamber coupled with a 10 kN electromechanical testing system. DOFSs offered unique advantages for spatially distributed dynamic temperature and strain measurements during the shape memory process. Compared to the standard test method dynamic mechanical analysis, larger samples can be tested effectively by using a single DOFS with large strain levels and shape complexity. The proposed technique demonstrated the ability of embedded DOFSs for in-situ shape memory characterization such as shape fixity ratio, shape recovery ratio and recovery rate. This technique will eliminate the challenges hindering the process monitoring and performance evaluation of large SMPC components operating in their real working environments.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Future Materials (1 Jan 2017 -)
Date Deposited: 01 Mar 2022 03:44
Last Modified: 23 Sep 2022 02:40
Uncontrolled Keywords: applications; characterization; composites; stimuli-sensitive polymers; viscoelasticity
Fields of Research (2020): 40 ENGINEERING > 4016 Materials engineering > 401609 Polymers and plastics
40 ENGINEERING > 4016 Materials engineering > 401602 Composite and hybrid materials
Identification Number or DOI: https://doi.org/10.1002/app.52247
URI: http://eprints.usq.edu.au/id/eprint/47078

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