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Graphene–PLA Printed Sensor Combined with XR and the IoT for Enhanced Temperature Monitoring : A Case Study Krishnamurthy, Rohith J.; Milani, Abbas S.
Abstract
This case study aims to combine the advantage of the additive manufacturing of sensors with a mixed reality (MR) app, developed in a lab-scale workshop, to safely monitor and control the temperature of parts. Namely, the measurements were carried out in real time via a 3D-printed graphene–PLA nanocomposite sensor and communicated wirelessly using a low-power microcontroller with the IoT capability, and then transferred to the user display in the MR. In order to investigate the performance of the proposed computer-mediated reality, a user experience experiment (n = 8) was conducted. Statistical analysis results showed that the system leads to faster (>2.2 times) and more accurate (>82%) temperature control and monitoring by the users, as compared to the conventional technique using a thermal camera. Using a Holistic Presence Questionnaire (HPQ) scale, the users’ experience/training was significantly improved, while they reported less fatigue by 50%.
Item Metadata
| Title |
Graphene–PLA Printed Sensor Combined with XR and the IoT for Enhanced Temperature Monitoring : A Case Study
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| Creator | |
| Contributor | |
| Publisher |
Multidisciplinary Digital Publishing Institute
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| Date Issued |
2025-06-30
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| Description |
This case study aims to combine the advantage of the additive manufacturing of sensors with a mixed reality (MR) app, developed in a lab-scale workshop, to safely monitor and control the temperature of parts. Namely, the measurements were carried out in real time via a 3D-printed graphene–PLA nanocomposite sensor and communicated wirelessly using a low-power microcontroller with the IoT capability, and then transferred to the user display in the MR. In order to investigate the performance of the proposed computer-mediated reality, a user experience experiment (n = 8) was conducted. Statistical analysis results showed that the system leads to faster (>2.2 times) and more accurate (>82%) temperature control and monitoring by the users, as compared to the conventional technique using a thermal camera. Using a Holistic Presence Questionnaire (HPQ) scale, the users’ experience/training was significantly improved, while they reported less fatigue by 50%.
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| Subject | |
| Genre | |
| Type | |
| Language |
eng
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| Date Available |
2025-09-08
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| Provider |
Vancouver : University of British Columbia Library
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| Rights |
CC BY 4.0
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| DOI |
10.14288/1.0450063
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| URI | |
| Affiliation | |
| Citation |
Journal of Sensor and Actuator Networks 14 (4): 68 (2025)
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| Publisher DOI |
10.3390/jsan14040068
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| Peer Review Status |
Reviewed
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| Scholarly Level |
Faculty; Researcher
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| Rights URI | |
| Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
CC BY 4.0