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地面停放飞机局部温度环境研究
引用本文:张腾,何宇廷,李昌范,张海威,侯波. 地面停放飞机局部温度环境研究[J]. 航空学报, 2015, 36(2): 538-547. DOI: 10.7527/S1000-6893.2014.0088
作者姓名:张腾  何宇廷  李昌范  张海威  侯波
作者单位:1. 空军工程大学 航空航天工程学院, 西安 710038;
2. 宇航动力学国家重点实验室, 西安 710043
基金项目:National Natural Science Foundation of China,Shaanxi Natural Science Foundation,国家自然科学基金,陕西省自然科学基金
摘    要:确定地面停放飞机局部温度环境的变化规律是编制飞机结构局部环境谱和解决传感器"温漂"问题的关键工作。为此,开展了地面停放飞机局部温度实测工作,对不同舱室的温度变化规律进行了分析;基于模糊聚类的方法,根据局部温度的差异将飞机舱室划分为3类;选取结构系数和日照系数为关键参数,研究了环境温度对局部温度的影响规律;以百叶箱温度为自变量,建立了飞机局部温度模型;并通过统计方法确定了3类舱室温度模型关键参数的取值范围。研究结果表明:同一密闭状态下的不同飞机舱室可以有较大的温度差异;影响舱室温度的主要因素有日照、降雨以及舱室的结构形式和位置;实测温度与模型预测温度的对比证实了模型具有较高的精度。

关 键 词:飞机结构  温度环境  局部环境  温漂  温度模型

Research on local temperature environment of ground parking aircraft
ZHANG Teng,HE Yuting,LI Changfan,ZHANG Haiwei,HOU Bo. Research on local temperature environment of ground parking aircraft[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(2): 538-547. DOI: 10.7527/S1000-6893.2014.0088
Authors:ZHANG Teng  HE Yuting  LI Changfan  ZHANG Haiwei  HOU Bo
Affiliation:1. Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi''an 710038, China;
2. State Key Laboratory of Astronautic Dynamics, Xi''an 710043, China
Abstract:Study on changing laws of local temperature environment of ground parking aircraft is a key work to compile local environment spectra and to solve the temperature drift problem of sensors. Therefore, the local temperature monitoring of ground parking aircraft is carried out and the changing laws of different bays are studied. Using the fuzzy clustering method, the bays of an airplane are divided into three groups according to the differences of local temperature. The effect laws of environmental temperature upon local temperature have been studied, and a local temperature model of aircraft is established using structural coefficient and sunlight coefficient as key coefficients, and the temperature of thermometer shelter as argument. Furthermore, ranges of key coefficients in the temperature model of three bay groups have been obtained through statistic method. The results show that bays of one sealing state can have large differences in temperature, and the factors which significantly affect bays'' temperature are sunlight, rainfall, bays location and bays'' structural form. A comparison of the monitored temperature and the predicted temperature using temperature model shows good agreement and proves that the temperature model possesses good accuracy.
Keywords:aircraft structure  temperature environment  local environment  temperature drift  temperature model
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