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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Classification Characteristics of Carbon Nanotube Polymer Composite Chemical Vapor Detectors

Classification Characteristics of Carbon Nanotube Polymer Composite Chemical Vapor Detectors

Hinshaw, Huynh A.

Paperback

ChemistryGeneral EducationGeneral Science

ISBN10: 1249592607
ISBN13: 9781249592600
Publisher: Biblioscholar
Published: Oct 9 2012
Pages: 170
Weight: 0.54
Height: 0.36 Width: 6.14 Depth: 9.21
Language: English

The first step in combating a chemical weapons threat is contamination avoidance. This is accomplished by the detection and identification of chemical agents. The Air Force has several instruments to detect chemical vapors, but is always looking for lighter, faster, and more accurate technology for a better capability. This research is focused on using carbon nanotube polymer composite sensors for chemical detection. More specifically, models are developed to classify three sets of sensor data according to vapor using various multivariate techniques. Also, prediction models of a mixed sensor output are developed using neural networks and regression analysis. The classifiers developed are able to accurately classify three vapors for a specific set of data, but have problems when tested against data from aged sensors as well as data generated from a different set of new sensors. These results indicate that further research should be conducted to ensure accuracy in identifying chemical vapors using these types of sensors.

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