Research on Deformation Reconstruction Based on Structural Curvature of CFRP Propeller With Fiber Bragg Grating Sensor Network

Abstract

The deformation and reconstruction of the composite propeller under the static load in the laboratory is studied so as to provide the basic research for the deformation and reconstruction of the underwater deformed propeller. The fiber Bragg grating (FBG) sensor is proposed to be used for strain monitoring and deformation reconstruction of the carbon fiber reinforced polymer (CFRP) propeller, and a reconstruction algorithm of structural curvature deformation of the CFRP propeller based on strain information is presented. The reconstruction algorithm is verified by using variable-thickness CFRP laminates in the finite element software. The results show that the relative error of the reconstruction algorithm is within 8%. Then, an experimental system of strain monitoring and deformation reconstruction for the CFRP propeller based on the FBG sensor network is built. The propeller blade is loaded in the form of the cantilever beam, and the blade deformation is reconstructed by the strain measured by the FBG sensor network. Compared with the blade deformation measured by three coordinate scanners, the reconstruction relative error is within 15%.

Keywords

CFRP propeller / variable-thickness CFRP laminates / FBG sensor network / strain / curvature / deformation reconstruction

References

[1] Lee Y J, Lin C C. Optimized design of composite propeller. Mechanics of advanced materials and structures, 2004, 11(1): 17-30.

[2] Blasques J P, Berggreen C, Andersen P. Hydro-elastic analysis and optimization of a composite marine propeller. Marine Structures, 2010, 23(1): 22-38.

[3] Chen F, Liu L, Lan X, Li Q, Leng J, Liu Y. The study on the morphing composite propeller for marine vehicle. Part I: design and numerical analysis. Composite Structures, 2017, 168, 746-757.

[4] Maung P T, Prusty B G, Phillips A W, St John N A. Curved fibre path optimisation for improved shape adaptive composite propeller blade design. Composite Structures, 2021, 255, 112961.

[5] Mihailov S J. Fiber Bragg grating sensors for harsh environments. Sensors, 2012, 12(2): 1898-1918.

[6] Qiu Y, Wang Q, Zhao H, Chen J, Wang Y. Review on composite structural health monitoring based on fiber Bragg grating sensing principle. Journal of Shanghai Jiaotong University (Science), 2013, 18(2): 129-139.

[7] Cusano A, Cutolo A, Nasser J, Giordano M, Calabro A. Dynamic strain measurements by fibre Bragg grating sensor. Sensors and Actuators A: Physical, 2004, 110(1–3): 276-281.

[8] Zetterlind LLL V E, Watkins S E, Spoltman M W. Feasibility study of embedded fiber optic strain sensing for composite propeller blades. Proceedings of SPIE the International Society for Optical Engineering, 2001, 4332, 143-52.

[9] Herath M T, Prusty B G, Yeoh G H, Chowdhury M, John N S. Development of a shape-adaptive composite propeller using bend-twist coupling characteristics of composites. Third International Symposium on Marine Propulsors, 2013, Tasmania, Australia: ISMP, 128-135.

[10] W. L. Ko, W. L. Richards, and V. T. Fleischer, “Application of Ko displacement theory to the deformed shape predictions of the doubly-tapered Ikhana Wing,” NASA Dryden Flight Research Center, TP-214652, 2009.

[11] W. L. Ko and V T. Fleischer, “Improved displacement transfer functions for structure deformed shape predictions using discretely distributed surface strain,” NASA Dryden Flight Research Center, TP-216060, 2012.

[12] Kim H. Strain-based real-time shape reconstruction of the rotating structures using distributed fiber optic sensors, 2011, Korea: Dept. Korean Advanced Institute of Science and Technology

[13] Li C J, Ulsoy A G. High-precision measurement of tool-tip displacement using strain gauges in precision flexible line boring. Mechanical Systems and Signal Processing, 1999, 13(4): 531-546.

[14] A. Tessler and J. L. Spangler, “Inverse FEM for full-field reconstruction of elastic deformations in shear deformable plates and shells,” in Proceedings of Second European Workshop on Structural Health Monitoring, Munich, Germany, 2004, pp. 83–90.

[15] M, Gherlone, P. Cerracchio, and M. Mattone, “Dynamic shape reconstruction of three-dimensional frame structures using the inverse finite element method,” NASA Langely Research Center, TP-217315, 2011.

[16] P. Cerracchio, M. Gherlone, M. Di Sciuva and A. Tessler, “Shape and stress sensing of multilayered composite and sandwich structures using an inverse finite eElement method,” in V International Conference on Computational Methods for Coupled Problems in Science and Engineering, Ibiza, Spain, 2013, 1676L–15769.

[17] Roesthuis R J, Kemp M, Van Den Dobbelsteen J J, Misra S. Three-dimensional needle shape reconstruction using an array of fiber bragg grating sensors. IEEE/ASME Transactions on Mechatronics, 2014, 19(4): 1115-1126.

[18] Li X, Jia G, Patel J H, Fok M P. Dual-layer orthogonal fiber Bragg grating mesh based soft sensor for 3-dimensional shape sensing. Optics Express, 2017, 25(20): 24727.

[19] Glaser R, Caccese V, Shahinpoor M. Shape monitoring of a beam structure from measured strain or curvature. Experimental Mechanics, 2012, 52(6): 591-606.

[20] Yi J, Zhu X, Shen L, Sun B, Jiang L. An orthogonal curvature fiber bragg grating sensor array for shape reconstruction. Life System Modeling and Intelligent Computing, 2010, Berlin Heidelberg: Springer, 25-31.

[21] Zhang X, Hong Y, Yang F, Xu Z, Zhang J, Liu W, . Propulsive efficiency and structural response of a sandwich composite propeller. Applied Ocean Research, 2019, 84, 250-258.