Nondestructive Testing and Evaluation

Capacitive Imaging Technique for the Inspection of Composite Sucker Rod

  • Kefan Wang ,
  • Xiaokang Yin ,
  • Chen Li ,
  • Wei Li ,
  • Guoming Chen
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  • Centre for Ofshore Engineering and Safety Technology, China University of Petroleum (East China), Qingdao 266580, China

收稿日期: 2019-04-22

  修回日期: 2019-10-08

  网络出版日期: 2020-05-18

基金资助

Funding Supported by National Natural Science Foundation of China (Grant Nos. 51675536, 51574276), Fundamental Research Funds for the Central Universities of China (Grant No. 18CX02084A), and Innovative Talents Program of Far East NDT New Technology & Application Forum

Capacitive Imaging Technique for the Inspection of Composite Sucker Rod

  • Kefan Wang ,
  • Xiaokang Yin ,
  • Chen Li ,
  • Wei Li ,
  • Guoming Chen
Expand
  • Centre for Ofshore Engineering and Safety Technology, China University of Petroleum (East China), Qingdao 266580, China

Received date: 2019-04-22

  Revised date: 2019-10-08

  Online published: 2020-05-18

Supported by

Funding Supported by National Natural Science Foundation of China (Grant Nos. 51675536, 51574276), Fundamental Research Funds for the Central Universities of China (Grant No. 18CX02084A), and Innovative Talents Program of Far East NDT New Technology & Application Forum

摘要

Composite sucker rod has been extensively used due to its high strength, light weight and corrosion resistive nature. However, such composite sucker rod is difcult for conventional non-destructive evaluation (NDE) techniques to inspect because of its complex material and/or structure. It is thus useful to embark research on developing novel NDE technique to comply the inspection requirement. This work demonstrates the feasibility of using the capacitive imaging (CI) technique for the inspection of composite sucker rod. Finite element (FE) models were constructed in COMSOL to simulate the detection of defects in the glass-fber layer and on the carbon core surface. An FE Model based inversion method is proposed to obtain the profle of the carbon core. Preliminary CI experimental results are then presented, including the detection of surface wearing defect in the glass-fber layer, and obtaining the profle of the carbon core. A set of accelerated aging experiments were also carried out and the results indicate that the CI technique is potentially useful in evaluating the ageing status of such composite sucker rod. The CI technique described in this work shows great potential to target some challenging tasks faced in the non-destructive evaluation of composite sucker rod, including quality control, defect detection and ageing assessment.

本文引用格式

Kefan Wang , Xiaokang Yin , Chen Li , Wei Li , Guoming Chen . Capacitive Imaging Technique for the Inspection of Composite Sucker Rod[J]. Chinese Journal of Mechanical Engineering, 2019 , 32(6) : 105 -105 . DOI: 10.1186/s10033-019-0421-z

Abstract

Composite sucker rod has been extensively used due to its high strength, light weight and corrosion resistive nature. However, such composite sucker rod is difcult for conventional non-destructive evaluation (NDE) techniques to inspect because of its complex material and/or structure. It is thus useful to embark research on developing novel NDE technique to comply the inspection requirement. This work demonstrates the feasibility of using the capacitive imaging (CI) technique for the inspection of composite sucker rod. Finite element (FE) models were constructed in COMSOL to simulate the detection of defects in the glass-fber layer and on the carbon core surface. An FE Model based inversion method is proposed to obtain the profle of the carbon core. Preliminary CI experimental results are then presented, including the detection of surface wearing defect in the glass-fber layer, and obtaining the profle of the carbon core. A set of accelerated aging experiments were also carried out and the results indicate that the CI technique is potentially useful in evaluating the ageing status of such composite sucker rod. The CI technique described in this work shows great potential to target some challenging tasks faced in the non-destructive evaluation of composite sucker rod, including quality control, defect detection and ageing assessment.

参考文献

[1] G Carra, V Carvelli. Long-term bending performance and service life prediction of pultruded Glass Fibre Reinforced Polymer composites. Composite Structures, 2015, 127: 308-315.
[2] J Koyanagi, M Nakada, Y Miyano. Prediction of long-term durability of unidirectional CFRP. Journal of Reinforced Plastics and Composites, 2011, 30(15): 1305-1313.
[3] J Tanks, S Sharp, D Harris, et al. Durability of CFRP cables exposed to simulated concrete environments. Advanced Composite Materials, 2017, 26(3): 245-258.
[4] M A A Siddique, A A El Damatty. Enhancement of buckling capacity of steel plates strengthened with GFRP plates. Thin-Walled Structures, 2012, 60: 154-162.
[5] C Meola, S Boccardi, G M Carlomagno, et al. Nondestructive evaluation of carbon fbre reinforced composites with infrared thermography and ultrasonics. Composite Structures, 2015, 134: 845-853.
[6] J Dong, B Kim, A Locquet, et al. Nondestructive evaluation of forced delamination in glass fber-reinforced composites by terahertz and ultrasonic waves. Composites Part B: Engineering, 2015, 79: 667-675.
[7] X Zhang, X Wu, Y He, et al. CFRP barely visible impact damage inspection based on an ultrasound wave distortion indicator. Composites Part B: Engineering, 2019, 168: 152-158.
[8] S C Garcea, Y Wang, P J Withers. X-ray computed tomography of polymer composites. Composites Science and Technology, 2018, 156: 305-319.
[9] J F Florez-Ospina, H D Benitez-Restrepo. Toward automatic evaluation of defect detectability in infrared images of composites and honeycomb structures. Infrared Physics & Technology, 2015, 71: 99-112.
[10] S Mukherjee, A Tamburrino, M Haq, et al. Far feld microwave NDE of composite structures using time reversal mirror. NDT & E International, 2018, 93: 7-17.
[11] K Mizukami, Y Mizutani, A Todoroki, et al. Detection of in-plane and out-of-plane fber waviness in unidirectional carbon fber reinforced composites using eddy current testing. Composites Part B: Engineering, 2016, 86: 84-94.
[12] K Mizukami, Y Mizutani, K Kimura, et al. Detection of in-plane fber waviness in cross-ply CFRP laminates using layer selectable eddy current method. Composites Part A: Applied Science and Manufacturing, 2016, 82: 108-118.
[13] Y He, G Tian, M Pan, et al. Impact evaluation in carbon fber reinforced plastic (CFRP) laminates using eddy current pulsed thermography. Composite Structures, 2014, 109: 1-7.
[14] L Cheng, G Y Tian. Surface crack detection for carbon fber reinforced plastic (CFRP) materials using pulsed eddy current thermography. IEEE Sensors Journal, 2011, 11(12): 3261-3268.
[15] Y He, G Tian, M Pan, et al. Non-destructive testing of low-energy impact in CFRP laminates and interior defects in honeycomb sandwich using scanning pulsed eddy current. Composites Part B: Engineering, 2014, 59: 196-203.
[16] F M Al-Oqla, S M Sapuan, T Anwer, et al. Natural fber reinforced conductive polymer composites as functional materials: A review. Synthetic Metals, 2015, 206: 42-54.
[17] H Sohn, D Dutta, J Y Yang, et al. Delamination detection in composites through guided wave feld image processing. Composites Science and Technology, 2011, 71(9): 1250-1256.
[18] C A C Leckey, M D Rogge, F Raymond Parker. Guided waves in anisotropic and quasi-isotropic aerospace composites: Three-dimensional simulation and experiment. Ultrasonics, 2014, 54(1): 385-394.
[19] Z Wang, G Tian, M Meo, et al. Image processing based quantitative damage evaluation in composites with long pulse thermography. NDT & E International, 2018, 99: 93-104.
[20] W Li, Y Xu, X Qing, et al. Quantitative imaging of surface cracks in polymer bonded explosives by surface wave tomographic approach. Polymer Testing, 2019, 74: 63-71.
[21] X Yin, D A Hutchins, G Chen, et al. Studies of the factors infuencing the imaging performance of the capacitive imaging technique. NDT & E International, 2013, 60: 1-10.
[22] D Chen, X Hu, W Yang. Design of a security screening system with a capacitance sensor matrix operating in single-electrode mode. Measurement Science and Technology, 2011, 22(11): 114026.
[23] Y Huang, Z Zhan, N Bowler. Optimization of the coplanar interdigital capacitive sensor. AIP Conference Proceedings, 2017, 1806(1).
[24] X Yin, D A Hutchins, G Chen, et al. Detecting surface features on conducting specimens through an insulation layer using a capacitive imaging technique. NDT & E International, 2012, 52: 157-166.
[25] S C Mukhopadhyay, C P Gooneratne. A novel planar-type biosensor for noninvasive meat inspection. IEEE Sensors Journal, 2007, 7(9): 1340-1346.
[26] S Gholizadeh. A review of non-destructive testing methods of composite materials. Procedia Structural Integrity, 2016, 1: 50-57.
[27] R T Sheldon, N Bowler. An interdigital capacitive sensor for nondestructive evaluation of wire insulation. IEEE Sensors Journal, 2014, 14(4): 961-970.
[28] M Morozov, W Jackson, S G Pierce. Capacitive imaging of impact damage in composite material. Composites Part B: Engineering, 2017, 113: 65-71.
[29] X Yin, D A Hutchins, G Chen, et al. Investigations into the measurement sensitivity distribution of coplanar capacitive imaging probes. NDT & E International, 2013, 58: 1-9.
[30] S Lafamme, M Kollosche, J J Connor, et al. Soft capacitive sensor for structural health monitoring of large‐scale systems. Structural Control and Health Monitoring, 2012, 19(1): 70-81.
[31] X Yin, G Chen, W Li, et al. Negative measurement sensitivity values of planar capacitive imaging probes. AIP Conference Proceedings, 2014, 1581(1): 1500-1504.
[32] C Li, G Xian, H Li. Water absorption and distribution in a pultruded unidirectional carbon/glass hybrid rod under hydraulic pressure and elevated temperatures. Polymers, 2018, 10(6): 627.
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