| Citation: | LIU Xing, LOU Jian, YU Hongqian, et al. A film superposition model integrating spatial iteration and deep learning[J]. Journal of Aerospace Power, 2025, 40（2）：20230134 doi: 10.13224/j.cnki.jasp.20230134
|
A set of spatial iterative algorithms with implicit physical variables were developed in combination with the neural network method for film superposition model, and this model was verified by comprehensive film effectiveness experiment of a flat plate fully covered film cooling and adiabatic numerical simulation respectively. And it solved the problem that the directly used neural network method does not contain real physical laws and lacks of interpretability. At the same time, by comparing accuracy and mining implicit variables, the interpretable 4 key closed variables of the film superposition model, such as the lateral velocity at the position of 5 times the thickness of the front edge boundary layer in the vertical plate direction, were obtained, thus verifying the accuracy and reliability of the fusion model.
| [1] |
HUANG Gan,HE Li. Influence of inhomogeneous porosity on effusion cooling[J]. International Journal of Heat and Mass Transfer,2019,144: 118675. doi: 10.1016/j.ijheatmasstransfer.2019.118675
|
| [2] |
YANG Li,MIN Zheng,YUE Tianwei,et al. High resolution cooling effectiveness reconstruction of transpiration cooling using convolution modeling method[J]. International Journal of Heat and Mass Transfer,2019,133: 1134-1144. doi: 10.1016/j.ijheatmasstransfer.2019.01.010
|
| [3] |
SELLERS J P JR. Combined external and internal cooling[J]. AIAA Journal,1963,1(9): 2152-2154. doi: 10.2514/3.2013
|
| [4] |
WANG L,LI X Y,REN J,et al. Effect of row spacing on the accuracy of film cooling superposition method[R]. Oslo,Norway: ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition,2018.
|
| [5] |
LI Xueying,REN Jing,JIANG Hongde. Multi-row film cooling characteristics on a vane endwall[J]. International Journal of Heat and Mass Transfer,2016,92: 23-33. doi: 10.1016/j.ijheatmasstransfer.2015.08.049
|
| [6] |
SASAKI M,TAKAHARA K,KUMAGAI T,et al. Film cooling effectiveness for injection from multirow holes[J]. Journal of Engineering for Power,1979,101(1): 101-108. doi: 10.1115/1.3446430
|
| [7] |
AFEJUKU W O,HAY N,LAMPARD D. The film cooling effectiveness of double rows of holes[J]. Journal of Engineering for Power,1980,102(3): 601-606. doi: 10.1115/1.3230309
|
| [8] |
CHEN Ziyu,MAO Yinbo,HU Kexin,et al. 2-D prediction method for multi-row film cooling effectiveness[J]. Applied Thermal Engineering,2021,199: 117607. doi: 10.1016/j.applthermaleng.2021.117607
|
| [9] |
SAUMWEBER C,SCHULZ A. Interactions of film cooling rows: effects of hole geometry and row spacing on the cooling performance downstream of the second row of holes[R]. Atlanta,US: ASME Turbo Expo 2003,Collocated with the 2003 International Joint Power Generation Conference,2009.
|
| [10] |
MENG T,ZHU H R,LIU C L,et al. Accuracy of superposition predictions of film cooling effectiveness on a flat plate with double rows of holes[R]. New York,US: ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition,2016.
|
| [11] |
NATSUI G,LITTLE Z,KAPAT J S,et al. Adiabatic film cooling effectiveness measurements throughout multirow film cooling arrays[J]. Journal of Turbomachinery,2017,139(10): 101008. doi: 10.1115/1.4035520
|
| [12] |
ZHU Huiren,GUO Tao,XU Duchun. Investigation of film cooling and superposition method for double row dustpan-shaped holes[J]. Heat Transfer—Asian Research,2008,37(4): 208-217. doi: 10.1002/htj.20204
|
| [13] |
INGRAM P T,YAVUZKURT S. A superposition technique for multiple-row film-cooling for calculation of 2-D effectiveness and heat transfer coefficients[R]. New York,US: ASME Turbo Expo 2015: Turbine Technical Conference and Exposition,2015.
|
| [14] |
HARRINGTON M K,MCWATERS M A,BOGARD D G,et al. Full-coverage film cooling with short normal injection holes[J]. Journal of Turbomachinery,2001,123(4): 798-805. doi: 10.1115/1.1400111
|
| [15] |
KIROLLOS B,POVEY T. An energy-based method for predicting the additive effect of multiple film cooling rows[J]. Journal of Engineering for Gas Turbines and Power,2015,137(12): 122607. doi: 10.1115/1.4030907
|
| [16] |
KIROLLOS B,POVEY T. Cooling optimization theory: Part Ⅰ optimum wall temperature,coolant exit temperature,and the effect of wall/film properties on performance[J]. Journal of Turbomachinery,2016,138(8): 081002. doi: 10.1115/1.4032612
|
| [17] |
LONG Zichao,LU Yiping,DONG Bin. PDE-Net 2.0: learning PDEs from data with a numeric-symbolic hybrid deep network[J]. Journal of Computational Physics,2019,399: 108925. doi: 10.1016/j.jcp.2019.108925
|
DownLoad:
