Three‐dimensional deformation measurement of aero‐engine high‐speed rotating blade surface based on stroboscopic structure digital image correlation method

Structural Control and Health MonitoringVolume 29, Issue 12 e3117 RESEARCH ARTICLE Three-dimensional deformation measurement of aero-engine high-speed rotating blade surface based on stroboscopic structure digital image correlation method Huilin Wu, Huilin Wu Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorChuanzhi Sun, Corresponding Author Chuanzhi Sun [email protected] Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, China Correspondence Chuanzhi Sun, Limin Zou, and Yongmeng Liu, Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin 150080, China. Email: [email protected]; [email protected] and [email protected]Search for more papers by this authorZhenjiang Yu, Zhenjiang Yu Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorYingjie Mei, Yingjie Mei Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorXiaoming Wang, Xiaoming Wang Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorHuiping Ma, Huiping Ma Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorLimin Zou, Limin Zou [email protected] Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorYongmeng Liu, Yongmeng Liu [email protected] Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorJiubin Tan, Jiubin Tan Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this author Huilin Wu, Huilin Wu Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorChuanzhi Sun, Corresponding Author Chuanzhi Sun [email protected] Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, China Correspondence Chuanzhi Sun, Limin Zou, and Yongmeng Liu, Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin 150080, China. Email: [email protected]; [email protected] and [email protected]Search for more papers by this authorZhenjiang Yu, Zhenjiang Yu Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorYingjie Mei, Yingjie Mei Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorXiaoming Wang, Xiaoming Wang Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorHuiping Ma, Huiping Ma Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorLimin Zou, Limin Zou [email protected] Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorYongmeng Liu, Yongmeng Liu [email protected] Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this authorJiubin Tan, Jiubin Tan Center of Ultra-precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China Key Lab of Ultra-precision Intelligent Instrumentation Engineering (Harbin Institute of Technology), Ministry of Industry and Information Technology, Harbin, ChinaSearch for more papers by this author First published: 05 October 2022 https://doi.org/10.1002/stc.3117 Funding information: Heilongjiang Provincial Natural Science Foundation of China, Grant/Award Number: JJ2020LH0172; National Natural Science Foundation Major Research Projects of China, Grant/Award Number: 91960109; National Natural Science Foundation of China, Grant/Award Number: 51805117; China Postdoctoral Science Foundation, Grant/Award Number: 2019M651279; Heilongjiang Postdoctoral Fund, Grant/Award Number: LBH-Z18078 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract Under the working conditions of aero-engine, the three-dimensional composite deformation of the blade is caused by the centrifugal force generated by high-speed rotation and the load generated by gas scouring. Aiming at the problem of three-dimensional composite deformation on the surface of aero-engine blades under high-speed rotation, a three-dimensional deformation measurement method based on stroboscopic structure digital image correlation method is proposed, and a method for eliminating rigid body displacement induced by the trigger error of the stroboscope is proposed. First, the laser trigger-stroboscopic irradiation system is used to freeze the high-speed rotating blade under a specific phase. Then, the binocular vision system is used to collect the surface image of the rotating blade. Finally, the digital image correlation method is used to measure the surface deformation field of the high-speed rotating blade. In this paper, the experimental platform is built and the displacement field and main strain field of the blade surface under high-speed rotating state are measured. The experimental results show that the stroboscopic structure digital image correlation measurement system and method have realized displacement measurement accuracy of 2 μm and strain measurement accuracy of 100 μɛ and have realized the surface deformation measurement of the ducted turbine fan blade under the condition of 6000 rpm (CFM56-7 engine N1 speed). The results show that the method is effective and can provide a reliable measurement method for the deformation measurement of high-speed rotating blades in large engine manufacturing enterprises such as Aero Engine Corporation of China. Open Research DATA AVAILABILITY STATEMENT Some or all data, models, or code generated or used during the study are available from the corresponding author by request. REFERENCES 1Amoo LM. On the design and structural analysis of jet engine fan blade structures. J Prog Aeosp Sci. 2013; 60: 1- 11. doi:10.1016/j.paerosci.2012.08.002 2Naghmehsanj M, Rahmani B. Optimal control of supersonic pre-twisted rotating functionally graded thin-walled blades. Struct Control Health Monit. 2017; 24(8):e1957. doi:10.1002/stc.1957 3Sun B, Li B. A rapid method to achieve aero-engine blade form detection. J Sensors. 2015; 15(6): 12782- 12801. doi:10.3390/s150612782 4Reagan D, Sabato A, Niezrecki C. Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges. J Struct Health Monit. 2018; 17(5): 1056- 1072. https://www.researchgate.net/publiction/320327325 5Zhao Z, Wang L, Kainan LU, et al. Effect of foreign object damage on high-cycle fatigue strength of titanium alloy for aero-engine blade. J Eng Fail Anal. 2020; 118:104842. doi:10.1016/j.engfailanal.2020.104842 6Guang C. Brief analysis of CFM56-7B fan blade breaking from the root. J Aerodynamics. 2021;(03): 52- 55. 7Du Y, Zhou S, Jing X, et al. Damage detection techniques for wind turbine blades: a review. J Mech Syst Signal Process. 2020; 141:106445. doi:10.1016/j.ymssp.2019.106445 8Leblanc B, Niezrecki C, Avitabile P, et al. Damage detection and full surface characterization of a wind turbine blade using three-dimensional digital image correlation. J Struct Health Monit. 2013; 12(5–6): 430- 439. doi:10.1177/1475921713506766 9Gelman L, Petrunin I, Parrish C, Walters M. Novel health monitoring technology for in-service diagnostics of intake separation in aircraft engines. J Struct Control Health Monit. 2020; 27(5):e2479. doi:10.1002/stc.2479 10Pan TY, Yan ZQ, Lu H, Li Q. Numerical investigation on the forced vibration induced by the low engine order under boundary layer ingestion condition. Aerosp Sci Technol. 2021; 115:106802. doi:10.1016/j.ast.2021.106802 11Gao F, Pan Z, et al. An adaptive sampling method for accurate measurement of aeroengine blades. J Measurement. 2020; 173:108531. doi:10.1016/j.measurement.2020.108531 12Luo L, Feng MQ, Wu J, Bi L. A vision-based surface displacement/strain measurement technique based on robust edge-enhanced transform and algorithms for high spatial resolution. Struct Control Health Monit. 2021; 28(9):e2797. doi:10.1002/stc.2797 13Sutton MA, Wolters WJ, Peters WH, et al. Determination of displacements using an improved digital correlation method. J Image Vis Comput. 1983; 1(3): 133- 139. doi:10.1016/0262-8856(83)90064-1 14Farahani BV, Barros F, Sousa PJ, Tavares PJ, Moreira PMGP. A railway tunnel structural monitoring methodology proposal for predictive maintenance. Struct Control Health Monit. 2020; 27(8):e2587. doi:10.1002/stc.2587 15Janeliukstis R, Chen X. Review of digital image correlation application to large-scale composite structure testing. J Comp Struct. 2021; 271:114143. doi:10.1016/j.compstruct.2021.114143 16Chang CY, Huang CW. Non-contact measurement of inter-story drift in three-layer RC structure under seismic vibration using digital image correlation—ScienceDirect. J Mech Syst Signal Process. 2020; 136:106500. doi:10.1016/j.ymssp.2019.106500 17Sun P, Bachilo SM, Lin CW, et al. Noncontact strain mapping using laser-induced fluorescence from nanotube-based smart skin. J Struct Eng. 2019; 145(1):04018238. doi:10.1061/(ASCE)ST.1943-541X.0002227 18Sun P, Bachilo SM, Lin CW, Nagarajaiah S, Weisman RB. Dual-layer nanotube-based smart skin for enhanced noncontact strain sensing. Struct Control Health Monit. 2019; 26(1):e2279. doi:10.1002/stc.2279 19Withey PA, Vemuru VSM, Bachilo SM, Nagarajaiah S, Weisman RB. Strain paint: Noncontact strain measurement using single-walled carbon nanotube composite coatings. Nano Lett. 2012; 12(7): 3497- 3500. doi:10.1021/nl301008m 20Barone S, Neri P, Paoli A, Razionale AV. Low-frame-rate single camera system for 3D full-field high-frequency vibration measurements. J Mech Syst Signal Process. 2019; 123: 143- 152. doi:10.1016/j.ymssp.2019.01.016 21Molina-Viedma AJ, Pieczonka L, Mendrok K, López-Alba E, Díaz FA. Damage identification in frame structures using high-speed digital image correlation and local modal filtration. Struct Control Health Monit. 2020; 27(9):e2586. doi:10.1002/stc.2586 22Chen W, Jana D, Singh A, et al. Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics. Mech Syst Signal Process. 2022; 166:108401. doi:10.1016/j.ymssp.2021.108401 23Jin M, Kosova G, Cenedese M, et al. Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II-Nonlinear system identification. Mech Syst Signal Process. 2022; 166:108402. doi:10.1016/j.ymssp.2021.108402 24Sousa PJ, Barros F, Tavares PJ, Moreira PMGP. Digital image correlation displacement measurement of a rotating RC helicopter blade. J EngFail Anal. 2018; 90: 371- 379. doi:10.1016/j.engfailanal.2018.04.005 25Khadka A, Fick B, Afshar A, Tavakoli M, Baqersad J. Non-contact vibration monitoring of rotating wind turbines using a semi-autonomous UAV. J Mech Syst Signal Process. 2020; 138:106446. doi:10.1016/j.ymssp.2019.106446 26Uehara D, Sirohi J. Full-field optical deformation measurement and operational modal analysis of a flexible rotor blade. J Mech Syst Signal Process. 2019; 133:106265. doi:10.1016/j.ymssp.2019.106265 27Jayant S, Lawson MS. Measurement of helicopter rotor blade deformation using digital image correlation. Opt Eng. 2012; 51(4):043603. doi:10.1117/1.OE.51.4.043603 28Wu R, Zhang D, Qifeng Y, Jiang Y, Arola D. Health monitoring of wind turbine blades in operation using three-dimensional digital image correlation. Mech Syst Signal Process. 2019; 130: 470- 483. doi:10.1016/j.ymssp.2019.05.031 29Ye M, Liang J, Li L, et al. Full-field motion and deformation measurement of high speed rotation based on temporal phase-locking and 3D-DIC. Opt Lasers Eng. 2021; 146:106697. doi:10.1016/j.optlaseng.2021.106697 30Su Z, Pan J, Zhang S, Wu S, Yu Q, Zhang D. Characterizing dynamic deformation of marine propeller blades with stroboscopic stereo digital image correlation. Mech Syst Signal Process. 2022; 162:108072. doi:10.1016/j.ymssp.2021.108072 31 F Boden (Ed). Advanced In-Flight Measurement Techniques. Springer Science & Business Media; 2013. doi:10.1007/978-3-642-34738-2 32Lanari C, Stasicki B, Boden F, Torres A. Image based propeller deformation measurements on the Piaggio P 180. In: F Boden, N Lawson, H Jentink, J Kompenhans, eds. Advanced in-flight measurement techniques. Research topics in aerospace. Berlin, Heidelberg: Springer; 2013. doi:10.1007/978-3-642-34738-2_9 33Boden F, Stasicki B. Rotating camera system for in-flight propeller blade deformation measurements. In: A Dillmann, G Heller, E Krämer, C Wagner, C Breitsamter, eds. New Results in Numerical and Experimental Fluid Mechanics X, Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Vol. 32. Cham: Springer; 2016. doi:10.1007/978-3-319-27279-5_54 34Kirmse T, Maring S, Ebel PB, Schröder A. Fan blade deformation measurements on the DLR Airbus A320-ATRA by means of IPCT as part of the ground test campaign in the frame of the DLR-project SAMURAI. In: A Dillmann, G Heller, E Krämer, C Wagner, C Breitsamter, eds. New Results in Numerical and Experimental Fluid Mechanics X. Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Vol. 132. Cham: Springer; 2016. doi:10.1007/978-3-319-27279-5_55 35Rosten E, Drummond T. Machine learning for high-speed corner detection. In: European Conference on Computer Vision. Berlin, Heidelberg: Springer; 2006: 430- 443. doi:10.1007/11744023_34. 36Shum HY, Szeliski R. Systems and experiment paper: construction of panoramic image mosaics with global and local alignment. Int J Comput Vis. 2000; 36(2): 101- 130. doi:10.1023/A:1008195814169 37Shum HY, Szeliski R. Correction to construction of panoramic image mosaics with global and local alignment. Int J Comput vis. 2002; 48(2): 151- 152. doi:10.1023/A:1016051024520 38Baker S, Matthews I. Equivalence and efficiency of image alignment algorithms. CVPR 2001. 2001, IEEE. doi:10.1109/CVPR.2001.990652 39Bruck HA, Mcneill SR, Sutton MA, et al. Digital image correlation using Newton-Raphson method of partial differential correction. J Exp Mech. 1989; 29(3): 261- 267. doi:10.1007/BF02321405 40Deng X, Guo F, Liu Y, et al. Aero-mechanical optimization design of a transonic fan blade. In: Asme Turbo Expo: Turbine Technical Conference & Exposition. American Society of Mechanical Engineers; 2013:V06BT43A014. doi:10.1115/GT2013-95357 41Zhou Y, Sun Y, Huang T. Impact responses of slender composite plates for bird-strike testing of fan blades. Lat Am J Solids Struct. 2019; 16(9): 1- 12. doi:10.1590/1679-78255809 42Sun Y, Zhang Y, Zhou Y, Zhang H, Zeng H, Yang K. Evaluating impact damage of flat composite plate for surrogate bird-strike testing of aeroengine fan blade. J Compos Sci. 2021; 5(7):171. doi:10.3390/jcs5070171 Volume29, Issue12December 2022e3117 ReferencesRelatedInformation