LIU Senyun, WANG Qiao, YI Xian, et al. New progress of 3 m × 2 m icing wind tunnel test technology from 2020 to 2022[J]. 2023, 41(1): 57-65.DOI: 10.7638/kqdlxxb-2022.0167.
New progress of 3 m × 2 m icing wind tunnel test technology from 2020 to 2022
3 m × 2 m结冰风洞是我国“十一五”国家重大科技基础设施,也是国际上尺寸最大的非季节性结冰风洞。自2013年建成以来,已经完成了70余项试验,有力支撑了我国飞机的自主研制和适航取证。本文首先介绍了3 m × 2 m结冰风洞的组成和特点,其次重点阐述了2020年至2022年间风洞试验能力和试验技术的若干新进展,通过发展双闭环自适应温度控制技术、多路热气供气防除冰试验技术、冰形在线测量技术、发动机进气精确模拟技术、旋翼结冰与气动载荷同步测试技术等,使风洞的温度场模拟能力、热气防冰试验能力、冰形测量能力、进气模拟能力和直升机旋翼结冰试验能力得到增强,综合试验效率显著提升。最后,针对大型结冰风洞过冷大水滴试验面临的挑战,对下一步试验技术的发展进行了展望。
Abstract
The 3 m × 2 m Icing Wind Tunnel
a key national scientific and technological facility of Chinese "Eleventh Five -Year Plan"
is the largest non-seasonal icing wind tunnel in the world. Since its establishment in 2013
the facility has completed more than 70 tests
which strongly supports the domestic aircraft's independent development and airworthiness certification. The composition and characteristics of the 3 m × 2 m icing wind tunnel are first introduced. Secondly
several new progress in improving wind tunnel test capabilities and developing of test technology from 2020 to 2022 are mainly summarized. Through the development of dual closed-loop adaptive temperature control technology
dual-channel hot-air supply anti-icing test technology
ice shape real-time measurement technology
engine intake accurate simulation technology
rotor icing-aerodynamic load synchronization test technology
etc.
simulation capabilities
hot gas anti-icing test capability
ice shape measurement capability
air intake simulation capability
and helicopter rotor icing test capability have been enhanced
and the overall test efficiency has been significantly improved. Finally
the challenges of the large-scale icing wind tunnel tests and the development of the test technology for large supercooled water drops are prospected.
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references
裘燮纲, 韩凤华. 飞机防冰系统[M]. 北京: 航空专业教材编审组, 1985.
ZHU C L, ZHU C X. Aircraft icing and its protection[M]. Beijing: Science Press, 2016. (in Chinese)
LIN G P, BU X Q, SHEN X B. Aircraft icing and anti-icing technology[M]. Beijing: Beijing University of Aeronautics Astronautics Press, 2016. (in Chinese)
KING-STEEN L E, IDE R F, VAN J F, et al. NASA Glenn icing research tunnel: 2014 and 2015 cloud calibration procedures and results[R]. NASA/TM-2015-218758, 2015.
ESPOSITO B M, RAGNI A, FERRIGNO F, et al. Cloud calibration update of the CIRA icing wind tunnel[C]//Proc of the SAE Technical Paper Series, 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. doi: 10.4271/2003-01-2132
AL-KHALIL K, IRANI E, MILLER D. Mixed phase icing simulation and testing at the cox icing wind tunnel[C]// 41st Aerospace Sciences Meeting and Exhibit, Reno, Nevada. Reston, Virginia: AIAA, 2003: 903. doi: 10.2514/6.2003-903
BAUMERT A, BANSMER S E, BACHER M. Implementation of an innovative ice crystal generation system to the Icing Wind Tunnel Braunschweig[C]// 53rd AIAA Aerospace Sciences Meeting, Kissimmee, Florida. Reston, Virginia: AIAA, 2015: 1225. doi: 10.2514/6.2015-1225
BAUMERT A, BANSMER S, SATTLER S, et al. Simulating natural ice crystal cloud conditions for icing wind tunnel experiments - A review on the design, commissioning and calibration of the TU Braunschweig ice crystal generation system[C]// 8th AIAA Atmospheric and Space Environments Conference, Washington, D. C. . Reston, Virginia: AIAA, 2016: 4053. doi: 10.2514/6.2016-4053
GEOFFREY L. Experimental and modelling investigation of the deformation, drag and break-up of drizzle droplets subjected to strong aerodynamics forces in relation to SLD aircraft icing[D]. Cranfield, East of England, UK: Cranfield University, 2005
ZHU D Y, PEI R N, YANG Q M, et al. Experimental researches on a hot air anti-icing system in FL-61 icing wind tunnel[J]. Aerodynamic Research Experiment, 2020, 32(01): 144-150(in Chinese).
NI Z S, LIU S Y, WANG Q, et al. Research progress of test technologies for 3m × 2m icing wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2019, 33(6): 46-53. (in Chinese)
ZHOU L, ZHAN P G, GUO X D. Study on SAE standard for calibration model testing in icing wind tunnels[J]. Standard Science, 2020(10): 95-100, 105(in Chinese).
ZHANG P T, WANG W X, GUO X D, et al. Study on temperature uniformity of airflow at evaporator outlet of a large icing wind tunnel[J]. Cryogenics, 2021(5): 68-73. (in Chinese)
GUO X D, ZHANG P T, ZHAO X L, et al. The compliance verification of thermodynamic flowfield in the large icing wind tunnel[J]. Journal of Experiments in Fluid Mechanics, 2020, 34(5): 79-88(in Chinese).
ADDY H, LEE S. Icing encounter duration sensitivity study[C]// 1st AIAA Atmospheric and Space Environments Conference, San Antonio, Texas. Reston, Virigina: AIAA, 2009. doi: 10.2514/6.2009-4263
LEE S, BROEREN A, ADDY H, et al. Development of 3D ice accretion measurement method[C]// 4th AIAA Atmospheric and Space Environments Conference, New Orleans, Louisiana. Reston, Virigina: AIAA, 2012. doi: 10.2514/6.2012-2938
YI X, WANG B, LI W B, et al. Research progress on ice shape measurement approaches for aircraft icing[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(2): 520711(in Chinese).
WANG B, LIU G H, ZHANG L P, et al. Ice cross sectional profile measurement based on line structured light[J]. Journal of Experiments in Fluid Mechanics, 2016, 30(3): 14-20(in Chinese).
GUO L, MA J, LI M, et al. Non-contact measurement of ice shape in icing wind tunnel based on 3D scanning technology[J]. China Measurement Test, 2018, 44(9): 18-22. (in Chinese)
HOU Z S. Nonparametric model and its adaptive control theory[M]. Beijing: Science Press, 1999(in Chinese).
HOU Z S, HAN Z G. Parameter estimation algorithm of nonlinear systems and its dual adaptive control[J]. Acta Automatica Sinica, 1995, 21(1): 122-125(in Chinese).
DENG W Q, TIAN Z, WANG Z N, et al. Speed control method of gas turbine based on combination of PI and model free adaptive control[J]. Journal of Propulsion Technology, 2022, 43(7): 404-412. (in Chinese)
LU X Y, HOU Z S. Model free adaptive control with disturbance rejection based on modified Kalman filter[J]. Control Theory Applications, 2022, 39(7): 1211-1218. (in Chinese)
CHEN Y L. Research on model-free adaptive control strategy based on learning[D]. Xi'an: Xi'an University of Technology, 2019(in Chinese).
HOU Z S, JIN S T. Model free adaptive control[M]. USA: Boca Raton, 2013.
HUANG M Q, YUAN H G, WANG L Q, et al. Experimental investigation on the performance degradation of helicopter rotor due to ice accretion[J]. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2022, 236(4): 811-822. DOI:10.1177/09544100211023255
HUANG M Q, WANG L Q, YUAN H G, et al. Icing wind tunnel investigation of helicopter rotor model in forward flight state[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(6): 929-936. (in Chinese)