Modeling of Infrared Gas Sensors Using a Ray Tracing Approach

Modeling of Infrared Gas Sensors Using a Ray Tracing Approach

Many gas molecules absorb electromagnetic radiation at characteristic wavelengths in the infrared region. This absorption can be used to identify defined substances like CO 2 , ammoniac, and so forth. A lot of different types of gas sensors are based on the principle of infrared absorption like phot...

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Bibliographic Details
Published in:IEEE sensors journal Vol. 10; no. 11; pp. 1691 - 1698
Main Authors: Mayrwöger, Johann, Hauer, Peter, Reichl, Wolfgang, Schwodiauer, Reinhard, Krutzler, Christian, Jakoby, Bernhard
Format: Journal Article
Language:English
Published: New York IEEE 01-11-2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Dispersion
Electromagnetic radiation
Electromagnetic wave absorption
Fourier transforms
Gas detection
Gas detectors
Gas sensors
Infrared
Infrared absorption
Infrared sensors
Infrared spectra
Iridium
Mathematical models
Optical filters
Optical sensors
Ray tracing
Sensor phenomena and characterization
Sensors
simulation
Statistical methods
Studies
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Summary:Many gas molecules absorb electromagnetic radiation at characteristic wavelengths in the infrared region. This absorption can be used to identify defined substances like CO 2 , ammoniac, and so forth. A lot of different types of gas sensors are based on the principle of infrared absorption like photoacoustic sensors (e.g., Golay cells), dispersive infrared instruments (e.g., utilizing a diffraction grating), or Fourier transform infrared (FTIR) spectrometers. However, the most commonly used types of infrared absorbing gas sensors are nondispersive infrared (NDIR) sensors. Such a NDIR gas sensor consists of some basic function blocks, i.e., an IR-source, the sensor cell or optical path containing the sample gas, a gas specific filter, and an IR-detector. One of the central issues in the design of this kind of sensors is the geometry of the sensor cell. In this paper we investigate the use of statistic ray tracing to predict the efficiency of 3-D cell geometries for NDIR gas sensors. We demonstrate the feasibility of the method and show examples on how to apply it on given 3-D sensor models where we illustrate the agreement between simulated and measured gas response data.
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ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2010.2046033