Predicting Method of Missile Storage Temperature Based on Thermal Network Model
Received:December 14, 2016  Revised:June 15, 2017
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DOI:10.7643/ issn.1672-9242.2017.06.017
KeyWord:temperature prediction  storage temperature  thermal network  extreme high temperature
           
AuthorInstitution
LUO Cheng China Aero-Polytechnology Establishment, Beijing, , China
WAN Jun Troops 96989 of PLA, Beijing , China
DING Chen China Aero-Polytechnology Establishment, Beijing, , China
SUN Yong-sheng Troops 96989 of PLA, Beijing , China
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Abstract:
      Objective To provide a method for predicting missile storage temperature and determine requirement on environmental suitability of air-to-air missiles. Methods Based on thermal network model, storage temperature and extreme high temperature of missiles under different environmental conditions were predicted. Energy conservation equation for each internal and external node of a missile was established by considering influences of different environmental factors on the thermal condition of missile. Then, the prediction model was built by applying the measured data to the equations and obtaining the coefficients using the least square method. At last, the measured result and predicted result were compared to verify the veracity of the model. Results The temperature result predict for the thermal network model is basically in line with the measured result. The mean error between data measured at 9% of confidence coefficient and extreme high temperature predicted is 0.3 ℃. Conclusion This method could predict the temperature in cabin properly, and can be used to determine the environmental adaptability of air to air missiles.
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