Semiconductor nanomembrane-based sensors for high frequency pressure measurements

Hang Ruan; Yuhong Kang; Michelle Homer; Richard O. Claus; David Mayo; Ridge Sibold; Tyler Jones; Wing Ng

doi:10.1117/12.2258708

12 April 2017 Semiconductor nanomembrane-based sensors for high frequency pressure measurements

Hang Ruan, Yuhong Kang, Michelle Homer, Richard O. Claus, David Mayo, Ridge Sibold, Tyler Jones, Wing Ng

Proceedings Volume 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017; 101680H (2017) https://doi.org/10.1117/12.2258708
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

This paper demonstrates improvements on semiconductor nanomembrane based high frequency pressure sensors that utilize silicon on insulator techniques in combination with nanocomposite materials. The low-modulus, conformal nanomembrane sensor skins with integrated interconnect elements and electronic devices could be applied to vehicles or wind tunnel models for full spectrum pressure analysis. Experimental data demonstrates that: 1) silicon nanomembrane may be used as single pressure sensor transducers and elements in sensor arrays, 2) the arrays may be instrumented to map pressure over the surfaces of test articles over a range of Reynolds numbers, temperature and other environmental conditions, 3) in the high frequency range, the sensor is comparable to the commercial high frequency sensor, and 4) in the low frequency range, the sensor is much better than the commercial sensor. This supports the claim that nanomembrane pressure sensors may be used for wide bandwidth flow analysis.

Citation Download Citation

Hang Ruan, Yuhong Kang, Michelle Homer, Richard O. Claus, David Mayo, Ridge Sibold, Tyler Jones, and Wing Ng "Semiconductor nanomembrane-based sensors for high frequency pressure measurements", Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101680H (12 April 2017); https://doi.org/10.1117/12.2258708

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