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Challenges in Micro-CT Characterization of Composites

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Micro-computed Tomography (micro-CT) in Medicine and Engineering

Abstract

Studies related to defect investigation of composite materials with x-ray-based micro-computed tomography (micro-CT) mostly focus on the void presence inside materials and its impact on the mechanical behavior of composites. This chapter focuses on the localization and the quantitative investigation of processing related anomalies like pore formation, sticking, and spreading of tows during a vacuum infusion process of glass fiber unidirectional non-crimp fabric (NCF) of four different yarn numbers but with constant areal weight. A case study is presented in order to provide information on purchased tow and resin properties and the nature of manufacturing process. Micro-CT analysis was employed to measure/evaluate this phenomenon nondestructively. Related post-processing parameters, namely, closed pore number, structure separation, structure thickness, and connectivity available in CT-An software are used in order to analyze the microstructure of manufactured composite specimens and their relationship to NCF composite material properties as well as to link these to the anomalies due to manufacturing process within the sample’s mesostructure. The limiting factors and challenges related to micro-CT scanning and 3D image analysis are also presented. Micro-CT analysis results demonstrate that the anomalies regarding resin infusion manufacturing process can be quantitatively evaluated with this non-destructive evaluation technique. The internal microstructure of composites can be quantified with selected post-processing parameters, and the ply-by-ply analysis reveals information about the movements of plies during resin flow-based impregnation. These results may lead to further studies where the relationship between stiffness and strength of composite materials and micro-CT analysis outputs could be interrelated.

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References

  1. Kiefel D, Stoessel R, Grosse C. Quantitative impact characterization of aeronautical CFRP materials with non-destructive testing methods. AIP Conference Proceedings. 2015;1650(1):591–8.

    Google Scholar 

  2. Gholizadeh S. A review of non-destructive testing of composite materials. Procedia Struct Integr. 2016;1:50–7.

    Article  Google Scholar 

  3. Ehrhart B, Valeske B, Bockenheimer C. Non-destructive evaluation (NDE) of aerospace composites: methods for testing adhesively bonded composites. Non-Destructive Eval Polym Matrix Compos. 2013:220–37.

    Google Scholar 

  4. Andrew JJ, Arumugam V, Bull DJ, Dhakal HN. Residual strength and damage characterization of repaired glass/epoxy composite laminates using AE and DIC. Compos Struct. 2016;152:124–39.

    Google Scholar 

  5. Cheng L, Tian GY. Comparison of nondestructive testing methods on detection of delaminations in composites. J Sensors. 2012;2012

    Google Scholar 

  6. Heuer H, Schulze MH. Eddy current testing of carbon fiber materials by high resolution directional sensors. Proc NDT Canada. 2011:1–13.

    Google Scholar 

  7. Surgeon M, Wevers M. Modal analysis of acoustic emission signals from CFRP laminates. NDT E Int. 1999;32(6):311–22.

    Article  Google Scholar 

  8. Tan KT, Watanabe N, Iwahori Y. X-ray radiography and micro-computed tomography examination of damage characteristics in stitched composites subjected to impact loading. Compos Part B Eng. 2011;42(4):874–84.

    Article  Google Scholar 

  9. Topal S, et al. Late-stage fatigue damage in a 3D orthogonal non-crimp woven composite: an experimental and numerical study. Compos Part A Appl Sci Manuf. 2015;79:155–63.

    Article  CAS  Google Scholar 

  10. Vallons K, Lomov SV, Verpoest I. Fatigue and post-fatigue behaviour of carbon/epoxy non-crimp fabric composites. Compos Part A Appl Sci Manuf. 2009;40(3):251–9.

    Article  Google Scholar 

  11. Bayraktar E, Antolovich SD, Bathias C. New developments in non-destructive controls of the composite materials and applications in manufacturing engineering. J Mater Process Technol. 2008;206(1–3):30–44.

    Article  Google Scholar 

  12. Feng Y, et al. Micro-CT characterization on porosity structure of 3D Cf/ SiCm composite. Compos Part A Appl Sci Manuf. 2011;42(11):1645–50.

    Article  Google Scholar 

  13. Stamopoulos AG, Tserpes KI, Prucha P, Vavrik D. Evaluation of porosity effects on the mechanical properties of carbon fiber-reinforced plastic unidirectional laminates by X-ray computed tomography and mechanical testing. J Compos Mater. 2016;50(16):2087–98.

    Google Scholar 

  14. Ponikiewski T, Katzer J, Bugdol M, Rudzki M. Determination of 3D porosity in steel fibre reinforced SCC beams using X-ray computed tomography. Construct Build Mater. 2014;68:333–40.

    Article  Google Scholar 

  15. Scott AE, Sinclair I, Spearing SM, Mavrogordato MN, Hepples W. Influence of voids on damage mechanisms in carbon/epoxy composites determined via high resolution computed tomography. Compos Sci Technol. 2014;90:147–53.

    Article  CAS  Google Scholar 

  16. Sisodia SM, Garcea SC, George AR, Fullwood DT, Spearing SM, Gamstedt EK. High-resolution computed tomography in resin infused woven carbon fibre composites with voids. Compos Sci Technol. 2016;131:12–21.

    Article  CAS  Google Scholar 

  17. Lambert J, Chambers AR, Sinclair I, Spearing SM. 3D damage characterisation and the role of voids in the fatigue of wind turbine blade materials. Compos Sci Technol. 2012;72(2):337–43.

    Article  CAS  Google Scholar 

  18. Pazmino J, Carvelli V, Lomov SV. Micro-CT analysis of the internal deformed geometry of a non-crimp 3D orthogonal weave E-glass composite reinforcement. Compos Part B Eng. 2014;65:147–57.

    Article  CAS  Google Scholar 

  19. Yoshimura A, Hosoya R, Koyanagi J. X-ray computed tomography used to measure fiber orientation in CFRP laminates. Adv Compos Mater. 2016;25(1):19–30.

    Article  CAS  Google Scholar 

  20. Djukic LP, Herszberg I, Walsh WR, Schoeppner GA, Gangadhara Prusty B, Kelly DW. Contrast enhancement in visualisation of woven composite tow architecture using a MicroCT Scanner. Part 1: Fabric coating and resin additives. Compos Part A Appl Sci Manuf. 2009;40(5):553–65.

    Article  Google Scholar 

  21. Schell JSU, Renggli M, van Lenthe GH, Müller R, Ermanni P. Micro-computed tomography determination of glass fibre reinforced polymer meso-structure. Compos Sci Technol. 2006;66(13):2016–22.

    Article  CAS  Google Scholar 

  22. Badel P, Sallé EV, Maire E, Boisse P. Simulation and tomography analysis of textile composite reinforcement deformation at the mesoscopic scale. Int J Mater Form. 2009;2(Suppl. 1):189–92.

    Article  Google Scholar 

  23. Djukic LP, Pearce GM, Herszberg I, Bannister MK, Mollenhauer DH. Contrast enhancement of microct scans to aid 3D modelling of carbon fibre fabric composites. Appl Compos Mater. 2013;20(6):1215–30.

    Article  CAS  Google Scholar 

  24. S. Kalafat, A.-M. Zelenyak, and Sause MG. In-situ monitoring of composite failure by computing tomography and acoustic emission. In: 20th International Conference on Composite Materials, pp. 1–8; 2015.

    Google Scholar 

  25. Naouar N, Vidal-Salle E, Schneider J, Maire E, Boisse P. 3D composite reinforcement meso F.E. analyses based on X-ray computed tomography. Compos Struct. 2015;132:1094–104.

    Article  Google Scholar 

  26. Li Y, Sun B, Gu B. Impact shear damage characterizations of 3D braided composite with X-ray micro-computed tomography and numerical methodologies. Compos Struct. 2017;176:43–54.

    Article  Google Scholar 

  27. Edgren F, Mattsson D, Asp LE, Varna J. Formation of damage and its effects on non-crimp fabric reinforced composites loaded in tension. Compos Sci Technol. 2004;64(5):675–92.

    Article  Google Scholar 

  28. Mattsson D, Joffe R, Varna J. Methodology for characterization of internal structure parameters governing performance in NCF composites. Compos Part B Eng. 2007;38(1):44–57.

    Article  Google Scholar 

  29. Mattsson D, Joffe R, Varna J. Damage in NCF composites under tension: Effect of layer stacking sequence. Eng Fract Mech. 2008;75(9):2666–82.

    Article  Google Scholar 

  30. Feldkamp L a, Davis LC, Kress JW. Practical cone-beam algorithm. J Opt Soc Am A. 1984;1(6):612.

    Article  Google Scholar 

  31. Boas FE, Fleischmann D. CT artifacts: Causes and reduction techniques. Imaging Med. 2012;4(2):229–40.

    Article  Google Scholar 

  32. Kandwal R, Kumar A, Bhargava S. Review : Existing Image Segmentation Techniques. Int J Adv Res Comput Sci Softw Eng. 2014;4(4):153–6.

    Google Scholar 

  33. Straumit I, Hahn C, Winterstein E, Plank B, Lomov SV, Wevers M. Computation of permeability of a non-crimp carbon textile reinforcement based on X-ray computed tomography images. Compos Part A Appl Sci Manuf. 2016;81:289–95.

    Article  CAS  Google Scholar 

  34. Bouxsein ML, Boyd SK, Christiansen BA, Guldberg RE, Jepsen KJ, Müller R. Guidelines for assessment of bone microstructure in rodents using micro-computed tomography. J Bone Miner Res. 2010;25(7):1468–86.

    Article  Google Scholar 

  35. Odgaard A. Three-dimensional methods for quantification of cancellous bone architecture. Bone. 1997;20(4):315–28.

    Article  CAS  Google Scholar 

  36. Bender D, Schuster J, Heider D. Flow rate control during vacuum-assisted resin transfer molding (VARTM) processing. Compos Sci Technol. 2006;66(13):2265–71.

    Article  CAS  Google Scholar 

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Correspondence to Güllü Kiziltaş .

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Kiziltaş, G., Papila, M., Yilmaz, B., Bilge, K. (2020). Challenges in Micro-CT Characterization of Composites. In: Orhan, K. (eds) Micro-computed Tomography (micro-CT) in Medicine and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-16641-0_14

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  • DOI: https://doi.org/10.1007/978-3-030-16641-0_14

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-16641-0

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