Juanjuan Wang, Yajuan Jia*, Jiangping Nan
FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.6, pp. 1161-1175, 2020, DOI:10.32604/fdmp.2020.010328
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… More >
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