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.
XIAO Guangming
,
ZHANG Chao
,
GUI Yewei
,
DU Yanxia
,
LIU Lei
,
WEI Dong
. TLBM-FVM cross-scale method for thermal environment prediction of aircraft cabin[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021
, 42(9)
: 625710
-625710
.
DOI: 10.7527/S1000-6893.2021.25710
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