| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Temperature-compensated fiber Bragg grating pressure sensor utilizing square diaphragm-based stress transfer structure |
| Qinggeng Fan(樊庆赓)1, Dequan Feng(冯德全)2, Zhen'an Jia(贾振安)2, and Muguang Wang(王目光)1,† |
1 Institute of Lightwave Technology, Key Laboratory of All Optical Network and Advanced Telecommunication Network, Ministry of Education, Beijing Jiaotong University, Beijing 100044, China;
2 Ministry of Education Key Laboratory on Photoelectric Oil-Gas Logging and Detecting, School of Science, Xi'an Shiyou University, Xi'an 710065, China |
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Abstract A fiber Bragg grating (FBG) pressure sensor using square diaphragm, dowel bar, and constant-strength cantilever beam (CSCB) as the stress transfer structure is proposed in this paper. The measurement principle involving pressure to strain transduction is described. Comparative finite element simulations of two diaphragms show square diaphragm's superior pressure responsivity, demonstrating a central deflection approximately 30% greater than that of the circular diaphragm. The performance of this design over the range of 0 to 2 MPa is experimentally evaluated, achieving a pressure sensitivity of 273.72 pm/MPa, excellent coefficient of determination ($R^{2}$) of 0.9992, 0.688% full scale (FS) hysteresis, and 3.368% FS repeatability errors. Furthermore, the utilization of difference in central wavelength shifts between dual Bragg gratings enables effective temperature compensation, resulting in a relative error of 2%. The cost-effective sensor can be adopted for the pressure measurement of gases or liquids within pipelines.
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Received: 24 June 2025
Revised: 20 August 2025
Accepted manuscript online: 02 September 2025
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PACS:
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42.81.-i
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(Fiber optics)
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07.07.Df
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(Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing)
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47.80.Fg
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(Pressure and temperature measurements)
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07.60.Vg
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(Fiber-optic instruments)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. U2006217 and 62371035). |
Corresponding Authors:
Muguang Wang
E-mail: mgwang@bjtu.edu.cn
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Cite this article:
Qinggeng Fan(樊庆赓), Dequan Feng(冯德全), Zhen'an Jia(贾振安), and Muguang Wang(王目光) Temperature-compensated fiber Bragg grating pressure sensor utilizing square diaphragm-based stress transfer structure 2026 Chin. Phys. B 35 044206
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[1] Biezma M V, Andrés M A, Agudo D and Briz E 2020 Eng. Fail. Anal. 110 104446
[2] Zawawi M A, O'Keffe S and Lewis E 2013 Sens. Rev. 33 57
[3] Vorathin E, Hafizi Z M, Ismail N and Loman M 2020 Opt. Laser Technol. 121 105841
[4] Ma G M, Jiang J, Mu R D, Li C R and Luo Y T 2015 IEEE Photon. Technol. Lett. 27 177
[5] Liu H L, Zhu ZW, Zheng Y, Liu B and Xiao F 2018 Opt. Fiber Technol. 40 144
[6] Wu W and Liu X 2015 Optik 126 2411
[7] Zhang R, Pu S, Li Y, Zhao Y, Jia Z, Yao J and Li Y 2019 IEEE Sens. J. 19 4079
[8] Hu W Y, Chen Z, You J S, Wang R H, Zhou R and Qiao X G 2023 Chin. Phys. B 32 114201
[9] Wang D M, Lei Y H, Shi P F and Li Z A 2023 Chin. Phys. B 32 090505
[10] Xu M G, Reekie L, Chow Y T and Dakin J P 1993 Electron. Lett. 29 398
[11] Huang J, Zhou Z D, Wen X Y and Zhang D S 2013 Measurment 46 1041
[12] Zhao Y, Zheng H K, Lv R Q and Yang Y 2018 Sensor. Actuat. A-Phys. 279 101
[13] Zhu S Q, Liu M Y, Song H, Li C, Yang X L and Chen X C 2024 Opt. Fiber Technol. 84 103694
[14] Fajkus M, Nedoma J, Martinek R, Fridrich M, Bednar E, Zabka S and Zmij P 2021 Sensors 21 5158
[15] Xiong Y, He J, Yang W, Sheng L, Gao W and Chen Y 2012 Proceedings of 2012 International Conference on Measurement, Information and Control, May 18-20, 2012, Harbin, China, p. 787
[16] Chen L, Tong X L, Huang W Z, Zeng F C, Li C F, Wang Y H, Shi X F, Zeng C and Li Z K 2024 Opt. Fiber Technol. 84 103743
[17] Li C F, Tong X L, Huang W Z, Wang Y H and Zeng F C 2024 Opt. Fiber Technol. 87 103917
[18] Vorathin E, Hafizi Z M, Aizzuddin A M, Zaini M K A and Lim K S 2019 Opt. Lasers Eng. 117 49
[19] Feng D Q, Xu D P, Chen F Y, Chen Q and Qiao X G 2023 IEEE Sens. J. 23 3589
[20] Vaddadi V, Parne S R, Vijeesh V P, Gandi S, Panda S S S and Cenkeramaddi L R 2022 IEEE Photonics J. 14 1
[21] LiuMY, Cai Q H and Song H 2023 Sensor. Actuat. A-Phys. 355 114298
[22] Liang M F, Fang X Q and Ning Y S 2018 Photonic Sensors 8 157
[23] Burhanuddin W, Ahmad H, Alias M A, Sa'Ad M S M, Sun S F and Ismail M F 2024 IEEE Sens. J. 24 25793
[24] Xu G, He B, Li H L, Gui X and Li Z Y 2022 Opt. Express 30 21396
[25] Peng B J, Zhao Y, Yang H and Zhao M G 2005 Measurement 38 176
[26] Thakar V C, Patel B N and Karsh P K 2022 Materials Today: Proceedings 65 3683
[27] Nallathambi A, Shanmuganantham T and Sindhanaiselvi D 2018 Materials Today: Proceedings 5 1897
[28] Devi R, Gill S S and Singh B 2022 Meas.: Sens. 24 100522
[29] Jia Z A, Fan Q G, Feng D Q, Yu D K, Zhao X F and Yang K Q 2019 Opt. Eng. 58 097109
[30] Fan Q G, Jia Z A, Feng D Q and Yong Z 2021 Optik 225 165559
[31] BaoMH 2005 Analysis and Design Principles of MEMS Devices (Amsterdam: Elsevier) p. 103
[32] Wang Q and Ko W H 1999 Sensor. Actuat. A-Phys. 75 230
[33] Sharma A and George P J 2008 Sensor. Actuat. A-Phys. 141 376
[34] Sheng H J, Fu M Y, Chen T C, Liu W F and Bor S S 2004 IEEE Photonics Technol. Lett. 16 1146
[35] Pachava V R, Kamineni S, Madhuvarasu S S, Putha K and Mamidi V R 2015 Photonic Sensors 5 321
[36] Altenberger I, Kuhn H A, Müller H R, Mhaede M, Gholami- KermanshahiMandWagner L 2015 International Journal of Materials & Product Technology 50 124
[37] Sun Y 2023 Structures 57 105290
[38] Liu X B, Liang L, Jiang K and Xu G 2021 IEEE Sens. J. 21 9155
[39] Hafizi Z M, Aizuddin A M and Vorathin E 2019 IOP Conference Series: Materials Science and Engineering, July 30-31, 2019, Kuantan, Malaysia, p. 012088
[40] Guo H Y, Wang Z B and Li H Y 2018 J. Sens. 2018 2056452 |
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