Vol.16, No.6, 2020, pp.1161-1175, doi:10.32604/fdmp.2020.010328
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ARTICLE
A Simulation of the Response of a Sounding Temperature Sensor Based on the Combination of a Genetic Algorithm and Computational Fluid Dynamics
  • Juanjuan Wang, Yajuan Jia*, Jiangping Nan
Xi’an Traffic Engineering Institute, Xi’an, 710300, China
* Corresponding Author: Yajuan Jia. Email:
(This article belongs to this Special Issue: EFD and Heat Transfer II)
Received 26 February 2020; Accepted 09 November 2020; Issue published 17 December 2020
Abstract
The present study aims at improving the accuracy of weather forecast by providing useful information on the behavior and response of a sounding temperature sensor. A hybrid approach relying on Computational Fluid Dynamics and a genetic algorithm (GA) is used to simulate the system represented by the bead thermistor and the surrounding air. In particular, the influence of different lead angles, sensor lead length, and lead number is considered. The results have shown that when the length of the lead wire of the bead thermistor is increased, the radiation temperature rise is reduced; when the number of lead wire is four and the angle between the lead wires is 180°, the solar radiation angle has a scarce influence on the radiation temperature rise of the sounding temperature sensor.
Keywords
Sounding temperature sensor; genetic algorithm; radiation temperature rise; computational fluid dynamics; bead thermistor
Cite This Article
Wang, J., Jia, Y., Nan, J. (2020). A Simulation of the Response of a Sounding Temperature Sensor Based on the Combination of a Genetic Algorithm and Computational Fluid Dynamics. FDMP-Fluid Dynamics & Materials Processing, 16(6), 1161–1175.
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