航空发动机仿真技术研究现状、挑战和展望

推进技术 ›› 2018, Vol. 39 ›› Issue (5): 961-970.

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航空发动机仿真技术研究现状、挑战和展望

曹建国

中国航空发动机集团公司，北京100097

发布日期:2021-08-15
作者简介:曹建国，男，硕士，研究员，现任航发集团党组书记、董事长，研究领域为航空航天系统工程管理及系统仿真技术。

Status，Challenges and Perspectives of Aero-Engine Simulation Technology

Aero Engine Corporation of China，Beijing 100097，China

Published:2021-08-15

摘要/Abstract

摘要： 仿真技术是支撑航空发动机自主研发的重要手段，体现了一个国家的高端装备研发水平，可大幅提高航空发动机的研发效率和质量，减少实物试验反复，缩短研制周期，降低研制成本。本文论述了仿真技术在航空发动机学科领域维、产品层次维和全生命周期维三个方面的发展与应用现状，分析了航空发动机仿真技术发展存在的问题，提出了提升仿真能力的战略措施。

关键词: 航空发动机；仿真技术；发展；挑战；展望

Abstract: Simulation technology is an important approach to support self-innovation of aero-engine， which demonstrates the R&D level of national advanced equipment. With the advanced simulation tools and methods， the R&D efficiency and quality can be increased by a large margin， while the iterative physical test can be reduced. Hence the time and cost of new engine development can be significantly reduced. In this paper， the development and application status of simulation technology in the dimensions of discipline field， product level， and whole life cycle of aero-engine were discussed. The current problems restricting the development of aero-engine simulation were analyzed subsequently， and the strategy to improve aero-engine simulation ability was proposed.

Key words: Aero-engine；Simulation technology；Development；Challenges；Perspectives

曹建国. 航空发动机仿真技术研究现状、挑战和展望[J]. 推进技术, 2018, 39(5): 961-970.

CAO Jian-guo. Status，Challenges and Perspectives of Aero-Engine Simulation Technology[J]. Journal of Propulsion Technology, 2018, 39(5): 961-970.

参考文献

[1] ANSYS INC. Powered by Innovation[J]. ANSYS Advantage, 2013, VII(2):17-21.
[2] Skira C A. Reducing Military Aircraft Engine Development Cost through Modeling and Simulation[C]. Paris: RTO AVT Symposium on Reduction of Military Vehicle Acquisition Time and Cost Through Advanced Modelling and Virtual Simulation, 2002.
[3] Holcomb L, Smith P, Hunter P. NASA High Performance Computing and Communications Program[J]. Journal of Supercomputing, 1994, 51(2): 95-96.
[4] Nichols L D, Chamis C C. Numerical Propulsion System Simulation: An Interdisciplinary Approach[R]. AIAA 91-3554.
[5] Panel (AVT) Task Group. Performance Prediction and Simulation of Gas Turbine Engine Operation for Aircraft, Marine, Vehicular, and Power Generation[R]. TR-AVT-036.
[6] Ivanov M, Nigmatullin R. Interconnected Multi-Level Design of Gas Turbine Elements[C]. Reno: 41st Aerospace Sciences Meeting and Exhibit, 2003.
[7] Homsi P. VIVACE -Value Improvement through a Virtual Aeronautical Collaborative Enterprise[R]. Technical Leaflet Final, 2007.
[8] Slotnick J, Khodadoust A, Alonso J, et al. CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences[R]. NASA/CR-2014-218178.
[9] Anand M, James S, Zhu J. Large-Eddy Simulations as a Design Tool for Gas Turbine Combustion Systems[J]. AIAA Journal, 2006, 44(4): 674-686.
[10] Cho C H, Baek G M, Sohn C H, et al. A Numerical Approach to Reduction of NO_x Emission from Swirl Premix Burner in a Gas Turbine Combustor[J]. Applied Thermal Engineering, 2013, 59(1): 454-463.
[11] Rizk N K, Mongia H C. NO_x Model for Lean Combustion Concept[J]. Journal of Propulsion and Power, 1995, 11(1): 161-169.
[12] Anand M S, Eggels R, Staufer M, et al. An Advanced Unstructured-Grid Finite-Volume Design System for Gas Turbine Combustion Analysis[C]. Karnataka: ASME 2013 Gas Turbine India Conference Bangalore, 2013.
[13] Jones W, Tyliszczak A. Large Eddy Simulation of Spark Ignition in a Gas Turbine Combustor[J]. Flow Turbulence and Combustion, 2010, 85: 711-734.
[14] Spalding D B. A General Purpose Computer Program for Multi-Dimensional One- and Two-Phase Flow[J]. Mathematics & Computers in Simulation, 1981, 23(3):267-276.
[15] Singhal A. A Critical Look of the Progress in Numerical Heat Transfer and Some Suggestions for Improvement[J]. Numerical Heat Transfer, 1985, 8: 505-517.
[16] Wei D Y, Pierron X, Backman D G, et al. Accelerated Insertion of Materials for Aircraft Engine Superalloy Applications[C]. Warrendale: The Minerals, Metals, and Materials Society - TMS Annual Meeting, 2001.
[17] Drosback M. Materials Genome Initiative: Advances and Initiatives[J]. Journal of the Minerals, Metals, and Materials Society, 2014, 66(3): 334-335.
[18] Council N R. Application of Lightweighting Technology to Military Aircraft, Vessels, and Vehicles[M]. Washington, DC: The National Academies Press, 2012.
[19] Townsend J C, Weston R P, Eidson T M. A Programming Environment for Distributed Complex Computing. An Overview of the Framework for Interdisciplinary Design Optimization (FIDO) Project.NASA Langley TOPS Exhibit H120b[R]. NASA-TM-109058.
[20] Gray J, Moore K, Naylor B. OpenMDAO: An Open Source Framework for Multidisciplinary Analysis and Optimization[C]. Fort Worth: 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, 2010.
[21] Panchenko V, Moustapha H, Mah S, et al. Preliminary Multi-disciplinary Optimization in Turbomachinery Design[C]. Paris: RTO AVT Symposium on Reduction of Military Vehicle Acquisition Time and Cost through Advanced Modelling and Virtual Simulation, 2002.
[22] Parker K I, Guo T H. Development of a Turbofan Engine Simulation in a Graphical Simulation Environment[R]. NASA/TM-2003-212543.
[23] Frederick D K, DeCastro J S. User’s Guide for the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS)[R]. NASA/TM-2007-215026.
[24] Mink G, Behbahani A. The AFRL ICF Generic Gas Turbine Engine Model[C]. Tucson: 41st AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, 2005.
[25] Lytle J, Follen G, Naiman C, et al. Numerical Propulsion System Simulation (NPSS) 1999 Industry Review[R]. NASA/TM-2000-209795.
[26] Lytle J, Follen G, Naiman C, et al. 2001 Numerical Propulsion System Simulation Review[R]. NASA/TM-2002-211197.
[27] Turner M, Norries A, Veres J. High Fidelity 3D Simulation of the GE90(invited)[C]. Orlando: 33rd AIAA Fluid Dynamics Conference and Exhibit, 2003.
[28] Gallimore S J, Bolger J J, Cumpsty N A, et al. The Use of Sweep and Dihedral in Multistage Axial Flow Compressor Blading, Part I: University Research and Methods Development[J]. Journal of Turbomachinery, 2002, 124(4):33-47.
[29] Luppold R H, Roman J R, Gallops G W, et al. Estimation In-Flight Engine Performance Variations Using Kalman Filter Concepts[R]. AIAA 89-2584.
[30] Volponi A, Enhanced Self Tuning On-Board Real-Time Model(eSTORM) for Aircraft Engine Performance Health Tracking[R]. NASA/CR-2008-215272.
[31] Tersin H. Summary of VERDI Public Information[R]. AST4-CT-2005516046.　　　　　　　　　　　　　*　收稿日期:2018-01-21；修订日期:2018-03-07。作者简介:曹建国,男,硕士,研究员,现任航发集团党组书记、董事长,研究领域为航空航天系统工程管理及系统仿真技术。 (编辑:田佳莹)

航空发动机仿真技术研究现状、挑战和展望

Status，Challenges and Perspectives of Aero-Engine Simulation Technology

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