舱内热环境的有效预测是优化飞行器热控与防热设计、减小系统冗余并保障飞行器热安全的重要基础。在国家数值风洞（NNW）工程支持下，针对目前舱内热环境多尺度、多机制复合传热特点及其数值预测面临的精度与效率提升难题，发展了多区域协同推进的时空耦合模型及流/固界面的自适应分辨率识别算法，建立了基于热格子Boltzmann方法（TLBM）与有限体积法（FVM）相互耦合的舱内复合传热跨尺度预测方法，开展了典型飞行器仪器舱的综合热分析，验证了耦合方法的计算精度及效率。研究表明，相关方法可实现舱内热环境的局部精细化与整体大规模的协同模拟，用于开展整体自然对流与设备局部热量传递的多尺度数值模拟，掌握不同环境参数对舱内热质传递过程的影响规律，从而为飞行器热防护/热管理一体化设计提供重要技术支撑。
Prediction of the thermal environment in the cabin is essential for aircraft thermal control and heat protection design and optimization, and is also important to system redundancy reduction and thermal safety. Due to the influence of multi-scale effects, it is difficult to improve the computational efficiency and accuracy of existing prediction methods. With the support of the National Numerical Windtunnel (NNW) Project, the space-time coupling model for multi-zone cooperative advancement and the adaptive resolution recognition algorithm for the fluid/solid interface are improved. Then, a hybrid heat transfer prediction approach is established based on the Thermal Lattice Boltzmann Method (TLBM) and the Finite Volume Method (FVM). To verify the accuracy and efficiency of the TLBM-FVM combined method, a comprehensive thermal analysis of a typical aircraft instrument cabin is carried out. The research shows that the proposed method can realize the local refinement and overall large-scale collaborative simulation of the thermal environment in the aircraft cabin, and can be used to grasp the influence of different parameters on heat and mass transfer process, thus providing important technical support for integrated design of thermal protection and management.
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