Bimorph material/structure designs for high sensitivity flexible surface acoustic wave temperature sensors

Tao, R.; Hasan, S.A.; Wang, H.Z.; Zhou, J.; Luo, J.T.; McHale, G.; Gibson, D.; Canyelles-Pericas, P.; Cooke, M.D.; Wood, D.; Liu, D.; Wu, Q.; Ng, W.P.; Franke, T.; Fu, Y.Q.

Abstract

A fundamental challenge for surface acoustic wave (SAW) temperature sensors is the detection of small temperature changes on non-planar, often curved, surfaces. In this work, we present a new design methodology for SAW devices based on flexible substrate and bimorph material/structures, which can maximize the temperature coefficient of frequency (TCF). We performed finite element analysis simulations and obtained theoretical TCF values for SAW sensors made of ZnO thin films (~5 μm thick) coated aluminum (Al) foil and Al plate substrates with thicknesses varied from 1 to 1600 μm. Based on the simulation results, SAW devices with selected Al foil or plate thicknesses were fabricated. The experimentally measured TCF values were in excellent agreements with the simulation results. A normalized wavelength parameter (e.g., the ratio between wavelength and sample thickness, λ/h) was applied to successfully describe changes in the TCF values, and the TCF readings of the ZnO/Al SAW devices showed dramatic increases when the normalized wavelength λ/h was larger than 1. Using this design approach, we obtained the highest reported TCF value of −760 ppm/K for a SAW device made of ZnO thin film coated on Al foils (50 μm thick), thereby enabling low cost temperature sensor applications to be realized on flexible substrates.

Citation

Tao, R., Hasan, S., Wang, H., Zhou, J., Luo, J., McHale, G., Gibson, D., Canyelles-Pericas, P., Cooke, M., Wood, D., Liu, D., Wu, Q., Ng, W., Franke, T., & Fu, Y. (2018). Bimorph material/structure designs for high sensitivity flexible surface acoustic wave temperature sensors. Scientific Reports, 8, Article 9052. https://doi.org/10.1038/s41598-018-27324-1

• Journal Article Type: Article
• Acceptance Date: May 29, 2018
• Online Publication Date: Jun 13, 2018
• Publication Date: Jun 1, 2018
• Deposit Date: Jun 1, 2018
• Publicly Available Date: Jun 1, 2018
• Journal: Scientific Reports
• Publisher: Nature Research
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Article Number: 9052
• DOI: https://doi.org/10.1038/s41598-018-27324-1
• Public URL: https://durham-repository.worktribe.com/output/1325115