基于实测数据的飞机平台动态温度预计模型

doi:10.7527/S1000-6893.2014.0064

Abstract

Abstract:

To make more accurate input for giving environmental worthiness requirement of airborne equipment, as well as conducting the design of environmental worthiness and test certification, the prediction of temperature on airplane platform during flying is necessary. Therefore, the mechanics for the formation of thermal is researched; then, considering multi-factors influencing thermal environment of airplane cabin, a dynamic temperature predicted model based on measured data is advanced; still more, starting from level flying state, the model coefficients are regressed and the functions of coefficients versus height and Mach number are fixed; further, the predicted model is corrected and certificated and results show that the dynamic temperature predicted model can predict the curve of temperature of equipment cabin via flying state; finally, results of error analysis indicates that model predicted error is no more than 4.5 ℃ on fiducial probability of 95%.

Key words: airplane platform, temperature condition, measured data, temperature prediction, linear regression

CLC Number:

V216.5⁺1

FU Yun, CHANG Haijuan, WU Yueqin, XUE Heping. Dynamic Temperature Predicted Model for Airplane Platform Based on Measured Data[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(9): 2472-2480.

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Dynamic Temperature Predicted Model for Airplane Platform Based on Measured Data

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