In-situ performance evaluation of large shape memory polymer components via distributed optical fibre sensors
Paper
Paper/Presentation Title | In-situ performance evaluation of large shape memory polymer components via distributed optical fibre sensors |
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Presentation Type | Paper |
Authors | Herath, Madhubhashitha (Author), Emmanuel, Chris (Author), Epaarachchi, Jayantha (Author) and Jeewantha, Janitha (Author) |
Journal or Proceedings Title | Proceedings of the 10th International Conference on Information and Automation for Sustainability (ICIAfS 2021) |
Number of Pages | 6 |
Year | 2021 |
Place of Publication | United States |
ISBN | 9781665444293 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ICIAfS52090.2021.9605868 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9605868 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/9605696/proceeding |
Conference/Event | 10th International Conference on Information and Automation for Sustainability (ICIAfS 2021) |
Event Details | 10th International Conference on Information and Automation for Sustainability (ICIAfS 2021) Event Date 11 to end of 13 Aug 2021 Event Location Negambo, Sri Lanka |
Abstract | Shape memory polymers (SMPs) and their composites (SMPCs) can undergo large deformations, hold a temporary shape, and then recover their original shape upon exposure to a particular external stimulus. The fibre reinforced SMPCs with enhanced structural performances accelerate the breakthrough technologies for large scale engineering applications. However, the current thermomechanical and shape memory characterizations of SMPCs are limited to lab scale test specimens. This paper presents a novel technique of distributed optical fibre sensor (DOFS) embedded SMPCs to quantify the thermomechanical behaviour of large-scale SMPC applications. DOFSs offered unique advantages for spatially distributed dynamic temperature and strain measurements. The DOFS data was acquired through optical backscatter reflectometry. The proposed technique demonstrated the ability of embedded DOFSs for real-time shape memory process monitoring and in-situ material characterization. This technique will eliminate the hurdles and the challenges hindering the performance evaluation of large SMPC components. |
Keywords | shape memory polymer, composite, thermomechanical characteristic, optical fibre sensor, recovery and fixity |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 401605. Functional materials |
401609. Polymers and plastics | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Uva Wellassa University, Sri Lanka |
Centre for Future Materials | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6x0x/in-situ-performance-evaluation-of-large-shape-memory-polymer-components-via-distributed-optical-fibre-sensors
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