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作 者:Juanjuan Wang Yajuan Jia Jiangping Nan
机构地区:[1]Xi’an Traffic Engineering Institute,Xi’an,710300,China
出 处:《Fluid Dynamics & Materials Processing》2020年第6期97-111,共15页流体力学与材料加工(英文)
摘 要: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.
关 键 词:Sounding temperature sensor genetic algorithm radiation temperature rise computational fluid dynamics bead thermistor
分 类 号:TK1[动力工程及工程热物理—热能工程]
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