摘要
提出一种计算非稳态气动加热下金属蜂窝板内辐射导热耦合换热数值计算方法。将金属蜂窝夹芯板作为三层平板结构,建立沿厚度方向一维传热控制方程,采用Monte Carlo方法求解蜂窝腔内辐射换热,有限体积法求解蜂窝板内耦合换热,考虑蜂窝金属与空气热物性随温度变化,对某结构的正六角形蜂窝板在模拟气动加热条件下两表面温度响应进行了数值预测,数值预测结果与文献中的实验结果对比表明该方法能够准确模拟蜂窝夹心板内传热过程;对采用Swann & Pittman当量导热系数经验公式进行蜂窝非稳态表面温度响应计算可靠性进行了验证,结果表明该公式在计算非稳态气动加热下蜂窝表面温度时存在较大误差,给出的热面温度过高,冷面温度过低,两表面温差最大相对误差高达140%。
A numerical method was presented for transient heat transfer processes in honeycomb sandwich panels used in metallic thermal protection systems （TPS） under aerodynamic heating. A one-dimensional heat transfer model combined with conduction and radiation was established for a honeycomb sandwich panel which was modeled by a three-layered plate structure. Monte Carlo method was used to model the radiative transfer process between honeycomb inner surfaces, and finite volume method was used to solve the energy equation of the coupled transfer processes. Thermal response was numerically predicted for a particular right hexagonal honeycomb sandwich panel under aerodynamic heating, with temperature dependent thermal properties of metal and air. Numerical results were compared with those from experiment in materials. The consistency between the numerical and experimental results in temperature on both honeycomb panel surfaces consolidated validity and effectiveness of the method presented. In addition, validity of using equivalent thermal conductivity given by Swann and Pittman correlation in transient heat transfer processes was reconsidered. Results show that significant error exists in temperature on both surfaces while using the correlation instead of combined model presented, with much higher temperature at the heated surface and lower temperature at the unheated one. The temperature difference between heated and unheated surface can be 2.4 times at most as that given by the combined model.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2008年第6期2019-2022,2056,共5页
Journal of Astronautics
基金
国家自然科学基金(50476029)
教育部新世纪优秀人才支持计划基金(NCET-04-0335)
关键词
蜂窝板
耦合换热
热响应
MONTE
CARLO方法
数值模拟
Honeycomb sandwich panels
Combined heat transfer
Thermal response
Monte carlo method
Numerical simulation
