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PM2.5 Particle Sensing and Fit Factor Test of a Respirator with SAW-Based Sensor

PM2.5 particle sensing has been done using surface acoustic wave based sensor for two different frequencies. Due to mass loading and elasticity loading on the sensor's surface, the center frequency of the sensor shifts. The particle concentration can be tracked based on that frequency shift. The fit factor test has been conducted using higher frequency SAW sensor. The consist results has been achieved for particle sensing and fit factor test with SAW based sensor.

Identiferoai:union.ndltd.org:unt.edu/info:ark/67531/metadc2137361
Date05 1900
CreatorsDesai, Mitali Hardik
ContributorsNamuduri, Kamesh, Zhang, Haifeng, Luyen, Hung
PublisherUniversity of North Texas
Source SetsUniversity of North Texas
LanguageEnglish
Detected LanguageEnglish
TypeThesis or Dissertation
FormatText
RightsPublic, Desai, Mitali Hardik, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved.

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