| Citation: | YIN Zeyong, MI Dong, ZHANG Lizhang, et al. Multidisciplinary design optimization method of overall aircraft power system[J]. Journal of Aerospace Power, 2022, 37(10):2025-2045 doi: 10.13224/j.cnki.jasp.20220453 |
In view of the difficulties in the design optimization of an overall aircraft power system, such as the considerable calculation scale, complex coupling relationships, sharp discipline conflicts and complicated implementation processes, a variety of advanced technologies such as the high-precision surrogate models, the efficient optimization strategies and the intelligent multi-objective optimization algorithms were developed and applied in three aspects: system decomposition, system modelling and system solution. Finally, the design method of an overall aircraft power system based on multidisciplinary design optimization (MDO) was established. Taking a turboshaft engine, a turbofan engine, a turbojet engine and a main transmission chain of the main reducer of a helicopter transmission system as examples, the engineering application research on MDO of the overall aircraft power system was carried out. Moreover, the performance and strength tests of the optimised compressor, and the optimised overall system test were carried out and verified for the turbojet engine. The research showed that the MDO of the overall aircraft power system could effectively unleash the design potential, significantly improve the comprehensive performance of products and considerably shorten the development cycle. Its engineering application prospect is quite broad, which will change the design and development of an aircraft power system.
| [1] |
尹泽勇, 米栋. 航空发动机多学科设计优化[M]. 北京: 北京航空航天大学出版社, 2015.
|
| [2] |
SOBIESZCZANSKI-SOBIESKI J. A linear decomposition method for large optimization problems-Blueprint for development[R]. NASA-TM-83248, 1982.
|
| [3] |
AIAA Technical Committee for MDO. White paper on current state of the art in multidisciplinary design optimization[R]. Washington: AIAA Technical Committee for MDO, 1991.
|
| [4] |
AIAA Technical Committee for MDO. White paper on industrial experimence with MDO[R]. Washington: AIAA Technical Committee for MDO, 1998.
|
| [5] |
YOUNG J, ANDERSON R, YURKOVICH R. A description of the F/A-18E/F design and design process[R]. AIAA-98-4701, 1998.
|
| [6] |
VAN DER VELDEN A, KOKAN D, KELM R, et al. Application of MDO to large subsonic transport aircraft[R]. AIAA-2000-0844, 2000.
|
| [7] |
RÖHL P, HE B, FINNIGAN P. A collaborative optimization environment for turbine engine development[R]. AIAA-98-4734, 1998.
|
| [8] |
YANG R J , THO C H , GU L. Recent development in multidisciplinary design optimization of vehicle structures[C]//9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. Atlanta, Georgia: AIAA, 2002:1-8.
|
| [9] |
YAN J,BROESICKE O A,TONG X,et al. Multidisciplinary design optimization of distributed energy generation systems: the trade-offs between life cycle environmental and economic impacts[J]. Applied Energy,2021,284: 116197.1-116197.9.
|
| [10] |
MARTIN T J,DULIKRAVICH G S. Analysis and multidisciplinary optimization of internal coolant networks in turbine blades[J]. Journal of Propulsion and Power,2002,18(4): 896-906. doi: 10.2514/2.6015
|
| [11] |
KRÖGER G, SCHNELL R, HUMPHREYS N D. Optimised aero-dynamic design of an OGV with reduced blade count for low noise aircraft engines[C]//Turbo Expo: Power for Land, Sea, and Air. Copenhagen, Denmark: American Society of Mechanical Engineers, 2012: 407-418.
|
| [12] |
SALNIKOV A, DANILOV M. A centrifugal compressor im-peller: a multidisciplinary optimization to improve its mass, strength, and gas-dynamic characteris-tics[C]//Turbo Expo: Power for Land, Sea, and Air. Charlotte, US: American Society of Mechanical Engi-neers, 2017: 1-10.
|
| [13] |
DENG X, GUO F, LIU Y, et al. Aero-mechanical optimiza-tion design of a transonic fan blade[C]//Turbo Expo: Power for Land, Sea, and Air. San Antonio, US: American Society of Mechanical Engineers, 2013: 1-12.
|
| [14] |
POPOV G, GORIACHKIN E, KOLMAKOVA D, et al. Multicriteria optimization of axial low pressure compressor of gas turbine power plant[C]//Turbo Expo: Power for Land, Sea, and Air. Seoul, South Korea: American Society of Mechanical Engineers, 2016: 1-10.
|
| [15] |
AULICH A L, GOERKE D, BLOCHER M, et al. Multidisciplinary automated optimization strategy on a counter rotating fan[C]//Turbo Expo: Power for Land, Sea, and Air. San Antonio, US: American Society of Mechanical Engineers, 2013: 1-14.
|
| [16] |
SEELEY C, TANGIRALA V, MIKA D, et al. Multidisciplinary analysis and optimization of combustion sub-system us-ing a network-centric approach[C]//19th AIAA Applied Aerodynamics Conference. Anaheim, US: AIAA, 2001: 1-12.
|
| [17] |
王荣桥,贾志刚,杨俊杰,等. 基于多层优化策略的涡轮盘叶设计研究[J]. 航空动力学报,2012,27(6): 1201-1209. doi: 10.13224/j.cnki.jasp.2012.06.025
WANG Rongqiao,JIA Zhigang,YANG Junjie,et al. Study on disk and blade design based on multi-layer optimization strategy[J]. Journal of Aerospace Power,2012,27(6): 1201-1209. (in Chinese) doi: 10.13224/j.cnki.jasp.2012.06.025
|
| [18] |
申秀丽,龙丹,董晓琳. 航空发动机初步设计阶段涡轮流道多学科优化设计分析方法[J]. 航空动力学报,2014,29(6): 1369-1375. doi: 10.13224/j.cnki.jasp.2014.06.016
SHEN Xiuli,LONG Dan,DONG Xiaolin. Multidisciplinary design optimization of aero-engine turbine flow path in preliminary design phase[J]. Journal of Aerospace Power,2014,29(6): 1369-1375. (in Chinese) doi: 10.13224/j.cnki.jasp.2014.06.016
|
| [19] |
LYTLE J K. The numerical propulsion system simulation: a multidisciplinary design system for aerospace vehicles[R]. NASA/TM-1999-209194, 1999.
|
| [20] |
JONES M J, BRADBROOK S J, NURNEY K. A preliminary engine design process for an affordable capability[R]. United Kingdom: Rolls-Royce Plc Bristol New Projects Engineering, 2003.
|
| [21] |
DONUS F, BRETSCHNEIDER S, SCHABER R, et al. The Architecture and Application of Preliminary Design Systems[R]. ASME Paper GT2011-45614, 2011.
|
| [22] |
PANCHENKO V, MOUSTAPHA H, MAH S, et al. Preliminary multi-disciplinary optimization in turbomachinery de-sign[R]. Longueuil, Canada: Pratt and Whitney Canada Corp, 2003.
|
| [23] |
TRIBES C, TRÉPANIER J Y, PANCHENKO Y, et al. Preliminary multidisciplinary design optimization system: A software solution for early gas turbine conception [C]//ASME Turbo Expo 2005: Power for Land, Sea, and Air. Reno, US: American Society of Mechanical Engineers, 2005: 213-220.
|
| [24] |
FRANCOIS B, STEPHEN M, JASMIN T. Preliminary multi-disciplinary optimization (PMDO) an example at engine level[R]. Montreal: 19th International Symposium on Air Breathing Engines, 2009.
|
| [25] |
米栋. 航空发动机压气机叶片多学科设计优化技术研究[D]. 北京: 中国航空研究院, 2004.
MI Dong. Study on multidisciplinary design optimization technology of aeroengine compressor blade[D]. Beijing: Chinese Aeronautical Establishment, 2004. (in Chinese)
|
| [26] |
吴立强. 多学科设计优化技术在航空发动机涡轮叶片设计中的应用研究[D]. 北京: 中国航空研究院, 2004.
WU Liqiang. Research on application of multidisciplinary design optimization technology in aero-engine turbine blade design[D]. Beijing: Chinese Aeronautical Establishment, 2004. (in Chinese)
|
| [27] |
肖根升. 基于正交试验设计和响应面模型的多学科设计优化及其应用研究[D]. 北京: 中国航空研究院, 2005.
XIAO Gensheng. Research on multidisciplinary design optimization and application based on orthogonal exper-imental design and response surface model [D]. Beijing: Chinese Aeronautical Establishment, 2005. (in Chinese)
|
| [28] |
刘飞春. 航空发动机涡轮级叶片多学科设计优化研究与应用[D]. 北京: 中国航空研究院, 2006.
LIU Feichun. Research and application of multidiscipli-nary design optimization for aeroengine turbine stage blades[D]. Beijing: Chinese Aeronautical Establishment, 2006. (in Chinese)
|
| [29] |
李立君. 航空发动机总体多学科多目标设计优化[R]. 湖南: 中国航空动力机械研究所, 2007.
|
| [30] |
张立章. 基于降维技术的航空发动机多学科设计优化方法研究[D]. 北京: 北京航空航天大学, 2019.
ZHANG Lizhang. Research on multidisciplinary design optimization method of aeroengine based on dimen-sionality reduction technology[D]. Beijing: Beijing University of Aeronautics and Astronautics, 2019. (in Chinese)
|
| [31] |
闫成. 航空发动机MDO高精度代理模型及协作优化策略研究[D]. 北京: 北京航空航天大学, 2019.
YAN Cheng. Research on high-precision surrogate model and cooperative optimization strategy of aero-engine MDO[D]. Beijing: Beijing University of Aeronautics and Astronautics, 2019. (in Chinese)
|
| [32] |
尹泽勇,米栋,吴立强,等. 航空发动机多学科设计优化技术研究[J]. 中国工程科学,2007,9(6): 1-10. doi: 10.3969/j.issn.1009-1742.2007.06.001
YIN Zeyong,MI Dong,WU Liqiang,et al. Study on multidisciplinary design optimization of aero-engine[J]. Engineering Science,2007,9(6): 1-10. (in Chinese) doi: 10.3969/j.issn.1009-1742.2007.06.001
|
| [33] |
张立章, 尹泽勇, 米栋, 等 基于改进的BLISS2000优化策略的涡轮级多学科设计优化[J]. 机械强度, 2015, 37(4): 639-645.
ZHANG Lizhang, YIN Zeyong, MI Dong, et al. Multidisciplinary design optimization of turbine stage based on improved bi-level integrated system synthesis [J]. Journal of Mechanical Strength, 2015, 37(4): 639-645.(in Chinese)
|
| [34] |
张立章,尹泽勇,米栋,等. 基于自适应本征正交分解的涡轮级多学科设计优化[J]. 推进技术,2017,38(6): 1249-1257. doi: 10.13675/j.cnki.tjjs.2017.06.007
ZHANG Lizhang,YIN Zeyong,MI Dong,et al. Multidisciplinary design optimization for turbine stage based on self-adaptive proper orthogonal decomposition[J]. Journal of Propulsion Technology,2017,38(6): 1249-1257. (in Chinese) doi: 10.13675/j.cnki.tjjs.2017.06.007
|
| [35] |
李立君,尹泽勇,乔渭阳. 基于多目标遗传算法的航空发动机总体性能优化设计[J]. 航空动力学报,2006,21(1): 13-18. doi: 10.3969/j.issn.1000-8055.2006.01.003
LI Lijun,YIN Zeyong,QIAO Weiyang. Performance optimal design of aircraft engine based on multi-objective genetic algorithms[J]. Journal of Aerospace Power,2006,21(1): 13-18. (in Chinese) doi: 10.3969/j.issn.1000-8055.2006.01.003
|
| [36] |
YIN Zeyong. Multidisciplinary design optimization technology accepting challenge of advanced green aeroengine design[R]. Italy: Plenary Lecture on the Cira-Crain2 Short Course, 2014.
|
| [37] |
闫成,尹泽勇,郭福水,等. 基于MDO策略的民用航空发动机概念设计研究[J]. 航空动力学报,2017,32(8): 1911-1921. doi: 10.13224/j.cnki.jasp.2017.08.015
YAN Cheng,YIN Zeyong,GUO Fushui,et al. Research on the conceptual design of a civil aero-engine based on MDO strategies[J]. Journal of Aerospace Power,2017,32(8): 1911-1921. (in Chinese) doi: 10.13224/j.cnki.jasp.2017.08.015
|
| [38] |
YAN C,SHEN X,GUO F. Novel two-stage method for low-order polynomial model[J]. Mathematical Problems in Engineering,2018: 1-13.
|
| [39] |
YAN C,SHEN X,GUO F. An improved support vector regression using least squares method[J]. Structural and Multidisciplinary Optimization,2018,57(6): 2431-2445. doi: 10.1007/s00158-017-1871-5
|
| [40] |
YAN C,ZHU J,SHEN X,et al. Ensemble of regression-type and interpolation-type metamodels[J]. Energies,2020,13(3): 1-20.
|
| [41] |
YAN C,DU H,KANG E,et al. AVEI-BO: an efficient Bayesian optimization using adaptively varied expected improvement[J]. Structural and Multidisciplinary Optimization,2022,65(6): 1-23.
|
| [42] |
YAN C, YIN Z, GUO F, et al. A newly improved collabora-tive optimization strategy: Application to conceptual multidisciplinary design optimization of a civil aero-engine[C]//Turbo Expo: Power for Land, Sea, and Air. Charlotte, US: American Society of Mechanical Engi-neers, 2017: 1-12.
|