Abstract
In our previous work [Sens. Actuator B: Chem. 203 1-8 (2014)], a ultrasonic sensor has been proposed to detect gas compositions by the acoustic spectral peak location. However, the effective relaxation area constructed by existing theoretical model cannot match the detection method when there are more than one strong relaxational components in gas mixture. A method that calculates the relaxation time of a multi-component relaxation process is presented. Based on acquirement of decoupled relaxation times and their corresponding effective specific heat values, it calculates the whole relaxation time of a multi-component relaxation process. The method is based on the fact that for a multi-component gas mixture, such as occurs in many polyatomic gas mixtures, the relaxation process should be considered as a whole rather than being decoupled as some single relaxation processes. Acquiring relaxation time provides the approach to obtain the acoustic absorption spectral peak value directly.
Highlights
Intelligent ultrasonic sensor is applied widely to detect gas compositions [1]
For the complexity of obtaining the whole spectrum, we proposed a method to employ the spectral peak location to detect gas composition
A gas detection sensor with two pairs of ultrasonic transducers are suggested to practical applications [4]
Summary
Measuring acoustic relaxation absorption spectrum is a powerful method to characterize molecular relaxation process in gas mixture [1, 2, 3]. For the complexity of obtaining the whole spectrum, we proposed a method to employ the spectral peak location to detect gas composition. Based on this method, a gas detection sensor with two pairs of ultrasonic transducers are suggested to practical applications [4]. Calculating the relaxation time in excitable gases is a key issue to apply the spectral peak location based method in gas detection. In practical detection, calculating the acoustic absorption spectral peak focuses on the whole relaxation time of a multi-component relaxation process. We compare the predicted results based on the proposed method with the experimental data, and provide the experimental results in strong-strong relaxational gas mixtures
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