DataVXJournal of Nondestructive EvaluationPaper
journal article·2024-03

Nondestructive Evaluation of the Isolated Pore Spatial Distribution State in a Special-Shaped C/SiC Composite Component

Wenhan Qu, Yintang Wen, Zimeng Yu, Zhao Pan, Yuyan Zhang

Journal of Nondestructive Evaluation· Volume 43· Issue 1
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Composites

OpenAlex topics: Advanced X-ray and CT Imaging · Advanced machining processes and optimization · Advanced ceramic materials synthesis

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References (39)

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1. Naslain, R.: Design, preparation and properties of non-oxide CMCs for application in engines and nuclear reactors: an overview. Compos. Sci. Technol. 64(2), 155–170 (2004). https://doi.org/10.1016/S0266-3538(03)00230-610.1016/S0266-3538(03)00230-6 ↗
2. Chang, Y., Zhang, K., Jiao, G., Chen, J.: Application and analysis of plane woven C/SiC composites based on continuum damage mechanics. Adv. Mater. Res. 490, 3916–3919 (2012). https://doi.org/10.4028/www.scientific.net/AMR.490-495.391610.4028/www.scientific.net/AMR.490-495.3916 ↗
3. Guan, H., Zhang, T., He, X.: Current status of the research and applications of C/SiC ceramic matrix composites. Mater. Rep. 37(16), 21090178 (2023). https://doi.org/10.11896/cldb.2109017810.11896/cldb.21090178 ↗
4. Schmidt, S., Beyer, S., Knabe, H., Immich, H., Meistring, R., Gessler, A.: Advanced ceramic matrix composite materials for current and future propulsion technology applications. Acta Astronaut. 55(3–9), 409–420 (2004). https://doi.org/10.1016/j.actaastro.2004.05.05210.1016/j.actaastro.2004.05.052 ↗
5. Naslain, R.R.: SiC-matrix composites: nonbrittle ceramics for thermo‐structural application. Int. J. Appl. Ceram. Tec. 2(2), 75–84 (2005). https://doi.org/10.1111/j.1744-7402.2005.02009.x10.1111/j.1744-7402.2005.02009.x ↗
6. Zhang, Y., Liu, Y., Cao, Y., Cao, L., Wang, J., Pan, Y., Wang, N.: Effect of initial density on thermal conductivity of new micro-pipeline heat conduction C/SiC composites. J. Am. Ceram. Soc. 104(1), 645–653 (2021). https://doi.org/10.1111/jace.1747510.1111/jace.17475 ↗
7. Yu, J., Duan, J., Fan, X., Xiao, P., Chen, P., Tong, Y., Li, Y.: Corrosion behavior of CVI 2D Cf/SiC composites under high temperature burner rig tests. Corros. Sci. (2022). https://doi.org/10.1016/J.CORSCI.2022.11059610.1016/J.CORSCI.2022.110596 ↗
8. Mei, H., Zhang, D., Xia, J., Yin, L., Yu, C., Cheng, L.: Brief introduction on the method and progress of nondestructive testing for ceramic matrix composites. Aeronaut. Manuf. Technol. 60(5), 24–30 (2017). https://doi.org/10.16080/j.issn1671-833x.2017.05.02410.16080/j.issn1671-833x.2017.05.024 ↗
9. Hudson, T.B., Follis, P.J., Pinakidis, J.J., Sreekantamurthy, T., Palmieri, F.L.: Porosity detection and localization during composite cure inside an autoclave using ultrasonic inspection. Compos. Part A-Appl. S (2021). https://doi.org/10.1016/j.compositesa.2021.10633710.1016/j.compositesa.2021.106337 ↗
10. Yin, X., Cheng, L., Zhang, L., Xu, Y., You, C.: Microstructure and oxidation resistance of carbon/silicon carbide composites infiltrated with chromium silicide. Mater. Sci. Eng.: A 290(1–2), 89–94 (2000). https://doi.org/10.1016/S0921-5093(00)00931-X10.1016/S0921-5093(00)00931-X ↗
11. Weber, E., Fernandez, M., Wapner, P., Hoffman, W.: Comparison of X-ray micro-tomography measurements of densities and porosity principally to values measured by mercury porosimetry for carbon–carbon composites. Carbon 48(8), 2151–2158 (2010). https://doi.org/10.1016/j.carbon.2009.11.04710.1016/j.carbon.2009.11.047 ↗
12. Kumar, M.R., Ghosh, A., Karuppannan, D., Sundaram, R.: Numerical and experimental studies of porosity on aerospace grade advanced composites. Mater. Today: Proc. 4(8), 8697–8705 (2017). https://doi.org/10.1016/j.matpr.2017.07.21810.1016/j.matpr.2017.07.218 ↗
13. Gao, X., Wang, L., Yao, L.: Porosity prediction of ceramic matrix composites based on random forest. In IOP Conference Series: Materials Science and Engineering (Vol. 768, No. 5, p. 052115). IOP Publishing. (2020). https://doi.org/10.1088/1757-899X/768/5/05211510.1088/1757-899X/768/5/052115 ↗
14. Hausherr, J.M., Krenkel, W., Fischer, F., Altstädt, V.: Nondestructive characterization of high-performance C/SiC‐ceramics using X‐ray‐computed tomography. Int. J Appl. Ceram. Tec. 7(3), 361–368 (2010). https://doi.org/10.1111/j.1744-7402.2009.02449.x10.1111/j.1744-7402.2009.02449.x ↗
15. Zhao, Z.: Review of non-destructive testing methods for defect detection of ceramics. Ceram. Int. 47(4), 4389–4397 (2021). https://doi.org/10.1016/j.ceramint.2020.10.06510.1016/j.ceramint.2020.10.065 ↗
16. Liu, S., Liu, F., Zhang, Q., Li, Z., Zhang, B., Wang, L.: Non-destructive characterisation and evaluation of manufacturing defects in SiCf/SiC composites using the relative energy attenuation behaviour of X-rays. Ceram. Int. 46(16), 26044–26054 (2020). https://doi.org/10.1016/j.ceramint.2020.07.09710.1016/j.ceramint.2020.07.097 ↗
17. Deng, X., Cheng, L., Mei, H., et al.: Infrared thermal wave imaging for nondestructive detection and measurement of the C/SiC composites. Acta Mater. Compos. Sinica 26(5), 112–119 (2009). https://doi.org/10.13801/j.cnki.fhclxb.2009.05.00910.13801/j.cnki.fhclxb.2009.05.009 ↗
18. Bahonar, M., Safizadeh, M.S.: Investigation of real delamination detection in composite structure using air-coupled ultrasonic testing. Compos. Struct. 280, 114939 (2022). https://doi.org/10.1016/j.compstruct.2021.11493910.1016/j.compstruct.2021.114939 ↗
19. Wang, L., Yuan, K., Luan, X., Li, Z., Feng, G., Wu, J.: 3D characterizations of pores and damages in C/SiC composites by using X-ray computed tomography. Appl. Compos. Mater. 26, 493–505 (2019). https://doi.org/10.1007/s10443-018-9712-210.1007/s10443-018-9712-2 ↗
20. Wang, J., Zhang, Z., Zhao, L., Tong, Z.: Research progress on effects of pores on fiber reinforced ceramic matrix composites. J. Hebei Univ. Technol. 51(05), 34–42 (2022). https://doi.org/10.14081/j.cnki.hgdxb.2022.05.00310.14081/j.cnki.hgdxb.2022.05.003 ↗
21. Feng, Y., Feng, Z., Li, S., Zhang, W., Luan, X., Liu, Y., et al.: Micro-CT characterization on porosity structure of 3D Cf/SiCm composite. Compos. Part A-Appl. S 42(11), 1645–1650 (2011). https://doi.org/10.1016/j.compositesa.2011.07.01510.1016/j.compositesa.2011.07.015 ↗
22. Zou, C., Marrow, T.J., Reinhard, C., Li, B., Zhang, C., Wang, S.: Porosity characterization of fiber-reinforced ceramic matrix composite using synchrotron X-ray computed tomography. J. Instrum. 11(03), C03052 (2016). https://doi.org/10.1088/1748-0221/11/03/C0305210.1088/1748-0221/11/03/C03052 ↗
23. Widiarini, P., & Suparta, G. B.: Testing on porosity of composite material composed by ultrafine amorphous silica (UFAS) from rice husk using X-ray micro-computed tomography. In Journal of Physics: Conference Series (Vol. 1040, No. 1, p. 012049). IOP Publishing. (2018). https://doi.org/10.1088/1742-6596/1040/1/01204910.1088/1742-6596/1040/1/012049 ↗
24. Douarche, N., Rouby, D., Peix, G., Jouin, J.M.: Relations between X-ray tomography, density and mechanical properties in carbon–carbon composites. Carbon 39(10), 1455–1465 (2001). https://doi.org/10.1016/S0008-6223(00)00196-210.1016/S0008-6223(00)00196-2 ↗
25. Mei, H., Zhang, D., Xia, J., Yu, C., Cheng, L.: The effect of hole defects on the oxidation behaviour of two-dimensional C/SiC composites. Ceram. Int. 42(14), 15479–15484 (2016). https://doi.org/10.1016/j.ceramint.2016.06.20010.1016/j.ceramint.2016.06.200 ↗
26. Tretiak, I., Smith, R.A.: A parametric study of segmentation thresholds for X-ray CT porosity characterisation in composite materials. Compos. Part A Appl. Sci. Manuf. 123, 10–24 (2019). https://doi.org/10.1016/j.compositesa.2019.04.02910.1016/j.compositesa.2019.04.029 ↗
27. Mehdikhani, M., Gorbatikh, L., Verpoest, I., Lomov, S.V.: Voids in fiber-reinforced polymer composites: a review on their formation, characteristics, and effects on mechanical performance. J. Compos. Mater. (2019). https://doi.org/10.1177/002199831877215210.1177/0021998318772152 ↗
28. Li, B., Yao, J., Chen, G., Li, Y., Liang, C.: Effect of porosity defects on crack initiation and propagation behavior in SiC/AZ91 D composites. Acta Mater. Compos. Sinica (2023). https://doi.org/10.13801/j.cnki.fhclxb.20230711.00210.13801/j.cnki.fhclxb.20230711.002 ↗
29. Xia, Y., Cai, J., Perfect, E., Wei, W., Zhang, Q., Meng, Q.: Fractal dimension, lacunarity and succolarity analyses on CT images of reservoir rocks for permeability prediction. J. Hydrol. 579, 124198 (2019). https://doi.org/10.1016/j.jhydrol.2019.12419810.1016/j.jhydrol.2019.124198 ↗
30. Ji, H.M., Zhang, W.Q., Li, X.W.: Fractal analysis of microstructure-related indentation toughness of Clinocardium californiense shell. Ceram. Int. 40(5), 7627–7631 (2014). https://doi.org/10.1016/j.ceramint.2013.12.03510.1016/j.ceramint.2013.12.035 ↗
31. Erdem, S.: X-ray computed tomography and fractal analysis for the evaluation of segregation resistance, strength response and accelerated corrosion behaviour of self-compacting lightweight concrete. Constr. Build Mater. 61, 10–17 (2014). https://doi.org/10.1016/j.conbuildmat.2014.02.07010.1016/j.conbuildmat.2014.02.070 ↗
32. Shi, X., Pan, J., Hou, Q., Jin, Y., Wang, Z., Niu, Q., Li, M.: Micrometer-scale fractures in coal related to coal rank based on micro-CT scanning and fractal theory. Fuel 212, 162–172 (2018). https://doi.org/10.1016/j.fuel.2017.09.11510.1016/j.fuel.2017.09.115 ↗
33. Matsuoka, J., Koga, T., Suetake, N., et al.: Robust non-local median filter. Opt. Rev. (2017). https://doi.org/10.1007/s10043-016-0299-210.1007/s10043-016-0299-2 ↗
34. Bai, X., Zhou, F.: A unified form of multi-scale top-hat transform based algorithms for image processing. Optik 124(13), 1614–1619 (2013). https://doi.org/10.1016/j.ijleo.2012.06.01610.1016/j.ijleo.2012.06.016 ↗
35. Pandey, D., Yin, X., Wang, H., Zhang, Y.: Accurate vessel segmentation using maximum entropy incorporating line detection and phase-preserving denoising. Comput. Vis. Image Und. 155, 162–172 (2017). https://doi.org/10.1016/j.cviu.2016.12.00510.1016/j.cviu.2016.12.005 ↗
36. Buczkowski, S., Kyriacos, S., Nekka, F., Cartilier, L.: The modified box-counting method: analysis of some characteristic parameters. Pattern Recogn. 31(4), 411–418 (1998). https://doi.org/10.1016/S0031-3203(97)00054-X10.1016/S0031-3203(97)00054-X ↗
37. Nugroho, H.A., Kirana, T., Pranowo, V., Hutami, A.: Optic cup segmentation using adaptive threshold and morphological image processing. Commun. Sci. Technol. 4(2), 63–67 (2019). https://doi.org/10.21924/cst.4.2.2019.12510.21924/cst.4.2.2019.125 ↗
38. Katherine, Rulaningtyas, R., Ain, K.: CT scan image segmentation based on hounsfield unit values using Otsu thresholding method. In Journal of Physics: Conference Series (Vol. 1816, No. 1, p. 012080). IOP Publishing. (2021). https://doi.org/10.1088/1742-6596/1816/1/01208010.1088/1742-6596/1816/1/012080 ↗
39. Lan, J., Zeng, Y.: Multi-threshold image segmentation using maximum fuzzy entropy based on a new 2D histogram. Optik-Int. J. Light Electron. Opt. 124(18), 3756–3760 (2013). https://doi.org/10.1016/j.ijleo.2012.11.02310.1016/j.ijleo.2012.11.023 ↗