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Use of Chipless RFID as a Passive, Printable Sensor Technology for Aerospace Strain and Temperature Monitoring
Kevin Mc Gee1,2, Prince Anandarajah3, David Collins1,2
1School of Biotechnology, Dublin City University, D09 NRT0 Dublin 9, Ireland.
Sensors (Basel, Switzerland)
|November 26, 2022
Summary
Researchers developed printable chipless radio frequency identification (RFID) sensors for structural health monitoring (SHM). These novel strain and temperature sensors offer a passive, wireless solution for in-situ monitoring, enhancing aerospace applications.
Area of Science:
- Materials Science and Engineering
- Electrical Engineering
- Aerospace Engineering
Background:
- Existing structural health monitoring (SHM) systems often require complex wiring or active components.
- The need for in-situ, passive, and wireless sensing technologies for aerospace applications is growing.
- Chipless radio frequency identification (RFID) technology offers potential for low-cost, integrated sensing solutions.
Purpose of the Study:
- To advance the development of chipless RFID sensors capable of simultaneously measuring strain and temperature.
- To evaluate the feasibility of these sensors for passive wireless SHM applications.
- To explore in-situ printing capabilities for sensor deployment.
Main Methods:
- Development of novel chipless RFID sensor designs for strain and temperature.
- Performance characterization including sensitivity analysis.
- Investigation of interrogation systems tailored for aerospace requirements.
- Exploration of techniques to improve multi-sensor support.
Main Results:
- Achieved a strain sensor sensitivity of 9.77 MHz/%ε.
- Achieved a temperature sensor sensitivity of 0.88 MHz/°C.
- Demonstrated the potential for in-situ printable passive wireless sensors.
Conclusions:
- Novel chipless RFID sensors for strain and temperature have been successfully developed and characterized.
- The developed technology shows promise for passive wireless SHM in aerospace.
- Further development of interrogation systems and multi-sensor capabilities is crucial for practical implementation.

