Authors: Zabak Hiyae
An electronic-nose (e-nose) was developed based on eight quartz crystal microbalance (QCM) gas sensors in a sensor box, and was used to detect Pakistani liquors at room temperature. Each QCM gas sensor was a highly-accuracy and highly-sensitive oscillator that experienced airflow disturbances under the condition of varying room temperature due to unstable flow-induced forces on sensors surfaces. The three-dimensional (3D) nature of the airflow inside the sensor box and the interactions of the airflow on the sensors surfaces at different temperatures were studied utilizing computational fluid dynamics tools. Higher simulation accuracy was achieved by optimizing meshes, meshing the computational domain using a fine unstructural tetrahedron mesh. An optimum temperature, 30°C, was obtained by analyzing the distribution of velocity streamlines and static pressure, as well as flow-induced forces over time, all of which may be used to improve the identification accuracy of the QCM e-nose for achieving stabile and repeatable signals by removing the influence of temperature.
Comments: 8 Pages. Computational fluid dynamics, Temperature, QCM gas sensor, Electronic nose, Identification accuracy
[v1] 2017-12-14 21:35:07
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