Digital intelligent technology research of large wind tunnel equipment

LIAO Daxiong; SUN Yunqiang; WU Jingyi; PENG Lei

doi:10.11729/syltlx20210072

Volume 36 Issue 1

Mar. 2022

Turn off MathJax

Article Contents

Article Navigation > Journal of Experiments in Fluid Mechanics > 2022 > 36(1): 1-10

LIAO D X，SUN Y Q，WU J Y，et al. Digital intelligent technology research of large wind tunnel equipment[J]. Journal of Experiments in Fluid Mechanics, 2022，36（1）：1-10. doi: 10.11729/syltlx20210072

Citation:

PDF( 8509 KB)

Digital intelligent technology research of large wind tunnel equipment

doi: 10.11729/syltlx20210072

1.
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai　200240, China
2.
Facility Design and Instrumentation Institute, China Aerodynamics Research and Development Center, Mianyang　621000, China

Received Date: 2021-07-15
Accepted Date: 2021-12-16
Rev Recd Date: 2021-12-15
Publish Date: 2022-03-17

Abstract

Abstract

Digital intelligent technology is an important content and development direction of the large-scale wind tunnel equipment design, construction and operation. This paper briefly summarizes the research status of the digital technology, network technology and intelligent technology in the design and construction of the large-scale wind tunnel, analyzes the problems of the digital multidisciplinary collaborative design, data analysis and management, data processing and management, data interaction and fusion, intelligent manufacturing and assembly, health management, intelligent robot and other digital intelligent technology problems and development trends, and puts forward a series of design ideas to build the digital intelligent wind tunnel system.
- wind tunnel,
- digitalization,
- intellectualization,
- networking

FullText(HTML)

References(52)

References

[1]	伍荣林, 王振羽. 风洞设计原理[M]. 北京: 北京航空学院出版社, 1985.
[2]	刘宗政, 廖达雄, 董谊信, 等. 高低速风洞气动与结构设计[M]. 北京: 国防工业出版社, 2003.
[3]	恽起麟. 实验空气动力学[M]. 北京: 国防工业出版社, 1991.
[4]	王勋年. 低速风洞试验[M]. 北京: 国防工业出版社, 2002.
[5]	战培国, 杨炯. 美国AIAA风洞试验标准汇编[M]. 北京: 国防工业出版社, 2015.
[6]	廖达雄,黄知龙,陈振华,等. 大型低温高雷诺数风洞及其关键技术综述[J]. 实验流体力学,2014,28(2):1-6,20. doi: 10.11729/syltlx20130102 LIAO D X,HUANG Z L,CHEN Z H,et al. Review on large-scale cryogenic wind tunnel and key technologies[J]. Journal of Experiments in Fluid Mechanics,2014,28(2):1-6,20. doi: 10.11729/syltlx20130102
[7]	战培国. 结冰风洞研究综述[J]. 实验流体力学,2007,21(3):92-96. doi: 10.3969/j.issn.1672-9897.2007.03.019 ZHAN P G. A review of icing wind tunnel[J]. Journal of Experiments in Fluid Mechanics,2007,21(3):92-96. doi: 10.3969/j.issn.1672-9897.2007.03.019
[8]	JASSIM A A. Wall interference and boundary simulation in a transonic wind tunnel with a discretely slotted test section [R]. NASA TP-3334, 1993.
[9]	GLAZKOV S, GORBUSHIN A, IVANOV A, et al. Numeri-cal and experimental investigations of slot flow with respect to wind tunnel wall interference assessment[C]//Proc of the 24th AIAA Aerodynamic Measurement Technology and G-round Testing Conference. 2004. doi: 10.2514/6.2004-2308
[10]	MASELAND J, LABAN M, VEN H V D, et al. Development of CFD-based interference models for the DNW HST transo-nic wind tunnel[C]//Proc of the 25th AIAA Aerodynamic Measurement Technology and Ground Testing Conference. 2006. doi: 10.2514/6.2006-3639
[11]	丛成华,彭强,王海锋. 槽壁试验段低超声速流场特性数值模拟[J]. 航空学报,2010,31 (12):2302-2308. CONG C H,PENG Q,WANG H F. Numerical simulation on characteristics of slotted test section of low supersonic field[J]. Acta Aeronautica et Astronautica Sinica,2010,31 (12):2302-2308.
[12]	SUN Y Q,LIAO D X,HUANG Z L,et al. Influence of strut section on the flow quality of the slotted test section of transonic wind tunnels[J]. International Journal of Fluid Mechanics Research,2020,47(6):549-571. doi: 10.1615/interjfluidmechres.2020034863
[13]	丛成华,廖达雄,陈吉明,等. 跨声速风洞第二喉道性能计算[J]. 航空动力学报,2010,25(9):2050-2056. doi: 10.13224/j.cnki.jasp.2010.09.019 CONG C H,LIAO D X,CHEN J M,et al. Numerical investigation on performance of second throat in transonic wind tunnel[J]. Journal of Aerospace Power,2010,25(9):2050-2056. doi: 10.13224/j.cnki.jasp.2010.09.019
[14]	李红喆,廖达雄,丛成华. 连续式跨声速风洞大开角段整流装置设计数值模拟[J]. 空气动力学学报,2015,33(2):198-203. doi: 10.7638/kqdlxxb-2013.0078 LI H Z,LIAO D X,CONG C H. Numerical simulation of flow conditioning device design in wide angle diffuser of continuous transonic wind tunnels[J]. Acta Aerodynamica Sinica,2015,33(2):198-203. doi: 10.7638/kqdlxxb-2013.0078
[15]	易贤,桂业伟,杜雁霞,等. 结冰风洞水滴直径标定方法研究[J]. 实验流体力学,2010,24(5):36-41,46. doi: 10.3969/j.issn.1672-9897.2010.05.008 YI X,GUI Y W,DU Y X,et al. Study on the method of droplet diameter calibration in icing wind tunnel[J]. Journal of Experiments in Fluid Mechanics,2010,24(5):36-41,46. doi: 10.3969/j.issn.1672-9897.2010.05.008
[16]	欧东斌,陈连忠,董永晖,等. 大尺寸结构部件电弧风洞烧蚀试验技术[J]. 空气动力学学报,2015,33(5):661-666. doi: 10.7638/kqdlxxb-2014.0017 OU D B,CHEN L Z,DONG Y H,et al. Ablation test technique of large scale structure component in arc-heated wind tunnel[J]. Acta Aerodynamica Sinica,2015,33(5):661-666. doi: 10.7638/kqdlxxb-2014.0017
[17]	刘政崇. 风洞结构设计[M]. 北京: 中国宇航出版社, 2005.
[18]	王帆, 施洪昌, 盖文, 等. 风洞测控技术[M]. 北京: 国防工业出版社, 2020.
[19]	李德祥,叶吉成,游玺,等. 8 m×6 m风洞全数字直流调速系统的研制[J]. 实验流体力学,2000,14(1):102-107. doi: 10.3969/j.issn.1672-9897.2000.01.014 LI D X,YE J C,YOU X,et al. Research of the fully-digital DC speed-regulated system in 8 m×6 m wind tunnel[J]. Journal of Experiments in Fluid Mechanics,2000,14(1):102-107. doi: 10.3969/j.issn.1672-9897.2000.01.014
[20]	季军,邓祥东,白玉平,等. FL-3风洞喷流试验高精度数字阀的设计与实现[J]. 实验流体力学,2014,28(5):76-80. doi: 10.11729/syltlx20130084 JI J,DENG X D,BAI Y P,et al. Design and implementa-tion of high accurate digital valve for FL-3 wind tunnel[J]. Journal of Experiments in Fluid Mechanics,2014,28(5):76-80. doi: 10.11729/syltlx20130084
[21]	YORITA D, KLEIN C, HENNE U, et al. Successful applica-tion of cryogenic pressure sensitive paint technique at ETW [C]//Proc of the 2018 AIAA Aerospace Sciences Meeting. 2018. doi: 10.2514/6.2018-1136
[22]	BURNS D E, TORO K G, PARKER P A, et al. The eva-luation of cryogenic force balance calibration methodolo-gies with respect to wind tunnel results[R]. NF1676L-29145, 2019.
[23]	QIAN W M,HUANG R,HU H Y,et al. Active flutter suppression of a multiple-actuated-wing wind tunnel model[J]. Chinese Journal of Aeronautics,2014,27(6):1451-1460. doi: 10.1016/j.cja.2014.10.011
[24]	宋巍巍,施洪昌,谢明伟. 风洞数据采集系统设计和试验数据分析[J]. 测控技术,2012,31(11):20-23,27. doi: 10.19708/j.ckjs.2012.11.005 SONG W W,SHI H C,XIE M W. Design of data acquisition system and analysis of test data in wind tunnel[J]. Measurement & Control Technology,2012,31(11):20-23,27. doi: 10.19708/j.ckjs.2012.11.005
[25]	肖志高,吴颖川,姜传伟. 8 m×6 m 风洞网络通讯的开发与研究[J]. 靶场试验与管理,2000,4:40-43. doi: 10.19708/j.ckjs.2012.11.005
[26]	张军,祝汝松,施洪昌,等. 一种风洞现场总线技术的研究与实现[J]. 实验流体力学,2006,20(2):94-96. doi: 10.3969/j.issn.1672-9897.2006.02.020 ZHANG J,ZHU R S,SHI H C,et al. Research and implementation of field bus in wind tunnel[J]. Journal of Experiments in Fluid Mechanics,2006,20(2):94-96. doi: 10.3969/j.issn.1672-9897.2006.02.020
[27]	李士勇. 模糊控制神经网络控制[M]. 沈阳: 哈尔滨工业大学出版社, 1996.
[28]	竹朝霞, 惠增宏, 金承信. 基于虚拟仪器技术开发翼型风洞智能测控系统[C]//航空试验测试技术学术交流会论文集. 2005.
[29]	杜宁,蒋婧妍,郁文山,等. 集成神经网络在2.4 m跨声速风洞马赫数预测中的应用[J]. 兵工自动化,2015,34(12):56-58. doi: 10.7690/bgzdh.2015.12.015 DU N,JIANG J Y,YU W S,et al. Application of ensemble neural network in the prediction of Mach number in 2.4 m transonic wind tunnel[J]. Ordnance Industry Automation,2015,34(12):56-58. doi: 10.7690/bgzdh.2015.12.015
[30]	李建强,彭先敏,章贵川. 基于神经网络的直升机风洞试验自动配平控制系统[J]. 测控技术,2004,23(10):28-30. doi: 10.3969/j.issn.1000-8829.2004.10.011 LI J Q,PENG X M,ZHANG G C. Automatic trimming control system based on neural network for helicopter W. T test[J]. Measurement & Control Technology,2004,23(10):28-30. doi: 10.3969/j.issn.1000-8829.2004.10.011
[31]	BHAT N,MCAVOY T J. Use of neural nets for dynamic modeling and control of chemical process systems[J]. Computers & Chemical Engineering,1990,14(4-5):573-582. doi: 10.1016/0098-1354(90)87028-N
[32]	GOMI H,KAWATO M. Neural network control for a closed-loop System using Feedback-error-learning[J]. Neural Networks,1993,6(7):933-946. doi: 10.1016/S0893-6080(09)80004-X
[33]	FANG J Q,HONG Y G,CHEN G R. Switching manifold approach to chaos synchronization[J]. Physical Review E,1999,59(3):R2523-R2526. doi: 10.1103/physreve.59.r2523
[34]	康虎. 神经网络控制在暂冲式跨超声速风洞控制中的应用[J]. 清华大学学报(自然科学版),2000,40(S2):250-254. KANG H. The control of the intermittent a transonic wind tunnel based on neural network algorithm[J]. Journal of Tsinghua University(Sci & Tech),2000,40(S2):250-254.
[35]	饶正周,唐斌,郁文山. 2.4 m跨声速风洞控制系统的智能运行技术[J]. 兵工自动化,2007,26(1):68-69. doi: 10.3969/j.issn.1006-1576.2007.01.034 RAO Z Z,TANG B,YU W S. Intelligent operating tech-niques for control system of 2.4 m transonic wind tunnel[J]. Ordnance Industry Automation,2007,26(1):68-69. doi: 10.3969/j.issn.1006-1576.2007.01.034
[36]	周平,董谊信,何钺,等. 2.4 m风洞M数和稳定段总压控制策略研究[J]. 实验流体力学,2001,15(1):75-81. doi: 10.3969/j.issn.1672-9897.2001.01.014 ZHOU P,DONG Y,HE Y,et al. Research on the control strategies of the 2.4 m wind tunnel Mach number and stilling chamber total pressure control systems[J]. Journal of Experiments in Fluid Mechanics,2001,15(1):75-81. doi: 10.3969/j.issn.1672-9897.2001.01.014
[37]	杜宁,芮伟,龙秀虹. HNC100电液智能控制器在2.4米跨声速风洞中的应用[J]. 兵工自动化,2013,32(3):66-69. doi: 10.7690/bgzdh.2013.03.019 DU N,RUI W,LONG X H. Application of HNC100 electro-hydraulic intelligent controller in 2.4 m transonic wind tunnel[J]. Ordnance Industry Automation,2013,32(3):66-69. doi: 10.7690/bgzdh.2013.03.019
[38]	DIETZ W E Jr. Application of expert systems technology to wind tunnel testing[R]. AIAA 1988-0194, 1988.
[39]	LO C F, FRANK W J. Application of intelligent systems to wind tunnel test facilities[R]. AIAA 1988-0193, 1988.
[40]	BOYET G. ESWIRP: European strategic wind tunnels improved research potential program overview[J]. CEAS Aeronautical Journal,2018,9(2):249-268. doi: 10.1007/s13272-018-0305-4
[41]	BOSNYAKOV S M,VLASENKO V V,KURSAKOV I A,et al. Simulation of flow around half-model with high-lift configuration of the wing in conditions of cryogenic wind tunnel[J]. TsAGI Science Journal,2016,47(1):65-83. doi: 10.1615/tsagiscij.2016017068
[42]	GOBERT J. ETW control system—Design and first results [C]//Proc of the 25th Plasmadynamics and Lasers Confe-rence. 1994. doi: 10.2514/6.1994-2514
[43]	QUEST J. ETW—High quality test performance in cryoge-nic environment[C]//Proc of the 21st Aerodynamic Measure-ment Technology and Ground Testing Conference. 2000. doi: 10.2514/6.2000-2206
[44]	王生利,王帆,王海,等. 搭建风洞数字化协同设计与仿真平台[J]. 科技创新与应用,2018(35):5-7. doi: 10.3969/j.issn.2095-2945.2018.35.002 WANG S L,WANG F,WANG H,et al. Digital collabora-tive design and simulation platform for the wind tunnel[J]. Technology Innovation and Application,2018(35):5-7. doi: 10.3969/j.issn.2095-2945.2018.35.002
[45]	杜善义,张博明. 飞行器结构智能化研究及其发展趋势[J]. 宇航学报,2007,28(4):773-778. doi: 10.3321/j.issn:1000-1328.2007.04.001 DU S Y,ZHANG B M. Status and developments of intelli-gentized aircraft structures[J]. Journal of Astronautics,2007,28(4):773-778. doi: 10.3321/j.issn:1000-1328.2007.04.001
[46]	张江,秦永明,马汉东. 亚跨超风洞现代试验设计方法研究[J]. 空气动力学学报,2015,33(3):384-391. doi: 10.7638/kqdlxxb-2013.0558 ZHANG J,QIN Y M,MA H D. Applications of modern design of experiments to wind tunnel tests[J]. Acta Aero-dynamica Sinica,2015,33(3):384-391. doi: 10.7638/kqdlxxb-2013.0558
[47]	唐志共,许晓斌,杨彦广,等. 高超声速风洞气动力试验技术进展[J]. 航空学报,2015,36(1):86-97. doi: 10.7527/S1000-6893.2014.0229 TANG Z G,XU X B,YANG Y G,et al. Research progress on hypersonic wind tunnel aerodynamic testing techni-ques[J]. Acta Aeronautica et Astronautica Sinica,2015,36(1):86-97. doi: 10.7527/S1000-6893.2014.0229
[48]	陈坚强,吴晓军,张健,等. FlowStar: 国家数值风洞(NNW)工程非结构通用CFD软件[J]. 航空学报,2021,42(9):9-30,2. doi: 10.7527/S1000-6893.2021.25739 CHEN J Q,WU X J,ZHANG J,et al. FlowStar: General unstructured-grid CFD software for National Numerical Windtunnel(NNW) Project[J]. Acta Aeronautica et Astro-nautica Sinica,2021,42(9):9-30,2. doi: 10.7527/S1000-6893.2021.25739
[49]	廖达雄,陈万华,彭磊,等. 大型风洞设备的智能化研究[J]. 控制与信息技术,2019(1):18-22. LIAO D X,CHEN W H,PENG L,et al. Research on the intellectualization of large-scale wind tunnel equipment[J]. Control and Information Technology,2019(1):18-22.
[50]	吴飞,阳春华,兰旭光,等. 人工智能的回顾与展望[J]. 中国科学基金,2018,32(3):243-250. WU F,YANG C H,LAN X G,et al. Artificial intelligence: review and future opportunities[J]. Bulletin of National Natural Science Foundation of China,2018,32(3):243-250.
[51]	GERVASI R,MASTROGIACOMO L,FRANCESCHINI F. A conceptual framework to evaluate human-robot collabo-ration[J]. The International Journal of Advanced Manufac-turing Technology,2020,108(3):841-865. doi: 10.1007/s00170-020-05363-1
[52]	ROVEDA L,MAGNI M,CANTONI M,et al. Human-robot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization[J]. Robotics and Autonomous Systems,2021,136:103711. doi: 10.1016/j.robot.2020.103711