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Aero-Engine Inlet Vane Structure Optimization for Anti-Icing with Hot Air Film Using Neural Network and Genetic Algorithm
Technical Paper
2019-01-2021
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
An improved anti-icing design with film heating ejection slot and cover for the inlet part of aero-engine was brought out, which combines the interior jet impingement with the exterior hot air film heating and shows promising application for those parts manufactured with composite materials. A hybrid method based on the combination of the Back Propagation Neural Network (BPNN) and Genetic Algorithm (GA) is developed to optimize the anti-icing design for a typical aero-engine inlet vane in two dimensions. The optimization aims to maximize the heating performance of the hot air film, which is assessed by the heating effectiveness. The film-heating ejection angle and the cover opening angle are the two geometric variables to be optimized. Numerical model was established and validated to generate training and testing samples for BPNN, which was used to predict the objective function and find the optimal design variables in conjunction with the GA. The optimal values of the film-heating ejection angle and the cover opening angle were 24.3° and 5°, respectively, which were achieved at a given heat flow rate of 0.0429 kg/s. Compared with the previous result obtained by other researchers, the film heating performance of the optimal structure in this study has been improved by 16.73%. Besides, the effects of film-heating ejection angle and cover opening angle on the heating effectiveness were further analysed. The optimal result shows that this coupled method using BPNN and GA is significantly time-efficient as well as meeting the accuracy requirements for optimization of the inlet vane.
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Liu, J. and Ke, P., "Aero-Engine Inlet Vane Structure Optimization for Anti-Icing with Hot Air Film Using Neural Network and Genetic Algorithm," SAE Technical Paper 2019-01-2021, 2019, https://doi.org/10.4271/2019-01-2021.Data Sets - Support Documents
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References
- Shen , X.B. , Lin , G.P. , Yu , J. et al. Three-Dimensional Numerical Simulation of Ice Accretion at the Engine Inlet Journal of Aircraft 50 2 635 642 2013
- Mu , Z.D. , Shen , X.B. , Lin , G.P. et al. 2016
- Zeppetelli , D. and Habashi , W.G. In-Flight Icing Risk Management Through Computational Fluid Dynamics-Icing Analysis Journal of Aircraft 49 2 611 621 2012
- Dong , W. , Zhu , J. , Zheng , M. et al. Experimental Study on Icing and Anti-Icing Characteristics of Engine Inlet Guide Vanes Journal of Propulsion and Power 31 5 1330 1337 2015
- Zhang , Y. , Ke , P. , Yang , C. X. et al. Investigation of Hot Film Jet Vortex Effects on Droplets Characteristics Over Aero Engine Inlet Strut Proceedings of ASME Turbo Expo 2016 Seoul South Korea 2016
- Yang , H.Y. , Ke , P. , and Yang , C.X. Analysis of Droplet Impingement Characteristics of Aero-Engine Nose Cone with Hot Air Film Proceedings of ASME Turbo Expo 2016 Seoul South Korea 2016
- Ke , P. , Zhang , Y. , Yu , G.F. et al. Influence of Exterior Hot-Film on Droplet Impingement Characteristics over Aero-Engine Inlet Strut Journal of Aerospace Power 32 3 621 629 2017
- Peng , L. , Bu , X.Q. , Lin , G.P. et al. The Study on Influence of Structural Parameters on the Thermal Performance of Anti-Icing Cavity Journal of Aerodynamic. 32 6 848 853 2014
- Leila , D. , Babak , K. , and Farshad , K. Optimal Design Approach for Heating Irregular Shaped Objects in Three-Dimensional Radiant Furnaces Using a Hybrid Genetic Algorithm-Artificial Neural Network Method Engineering Optimization 50 3 452 470 2018
- Wang , W. , Li , M. , Reda , H.E.H. et al. Optimization of Thermal Performance of the Parabolic Trough Solar Collector Systems Based on GA-BP Neural Network Model International Journal of Green Energy 14 10 819 830 2017
- Chen , K.S. and Hwang , J.Y. Experimental Study on the Mixing of One- and Dual-Line Heated Jets with a Cold Crossflow in a Confined Channel AIAA Journal 29 6 353 360 1991
- Hasan , A. and Mehrzad , S. Optimization of Subcooled Flow Boiling in a Vertical Pipe by Using Artificial Neural Network and Multi Objective Genetic Algorithm Applied Thermal Engineering 111 1039 1051 2017
- Irani , R. , Nasimi , R. , and Shahbazian , M. Approximate Predictive Control of a Distillation Column using an Evolving Artificial Neural Network Coupled with a Genetic Algorithm Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 37 5 518 535 2015
- Jaroslaw , K. , Hongtao , F. , Yi , F. et al. Genetic Algorithms and Neural Networks in Optimization of Sorbent Enhanced H 2 Production in FB and CFB Gasifiers Energy Conservation and Management 171 1651 1661 2018
- Carole , E.I.A. , Wahid , G. , and Ibrahim , H. Aerothermal Shape Optimization for a Double Row of Discrete Film Cooling Holes on the Suction Surface of a Turbine Vane Engineering Optimization 47 10 1384 1404 2015
- Lu , Y. , Chernykh , O. , and Ke , P. Asian Workshop on Aircraft Design Education Nanjing 2017 166 177