Integral Macrostructural Characteristics Of Carbon Composite Based On Microtomographic Data
Author:
Funder
Russian Science Foundation
Publisher
Elsevier BV
Subject
General Engineering,Energy Engineering and Power Technology
Reference17 articles.
1. Birt E A and Smith R A. A review of NDE methods for porosity measurement in fibrereinforced polymer composites. Insight 2004; 46(11): 681-686.
2. Cai, Y., Li, Y., & Li, M. (2017). A hybrid method for automatic segmentation of voids in X-ray computed tomography images of carbon fiber reinforced polymer composites. Composites Science and Technology, 139, 103-112. https://doi.org/10.1016/j.compscitech.2016.12.005
3. Ignatova A.M., Balakhnin A.N., Bannikov M.V., Kuper K.E., Nikitiuk A.S., Naimark O.B. Technique for obtaining an integral characteristic of the structure of a loaded composite material based on microtomographic research data // Procedia Structural Integrity. - 2022. - V.41. - P.550-556 https://doi.org/10.1016/j.prostr.2022.05.063.
4. Jiang, P.; Liu, X.; Li, W.; Guo, F.; Hong, C.; Liu, Y.; Yang, C. Damage Characterization of Carbon Fiber Composite Pressure Vessels Based on Modal Acoustic Emission. Materials 2022, 15, 4783. https://doi.org/10.3390/ma15144783
5. Kastner, J., Plank, B., Salaberger, D., & Sekelja, J. (2013). Defect and porosity determination of fibre reinforced polymers by X-ray computed tomography. Composites Science and Technology, 85, 74-81. doi: 10.1016/j.compscitech.2013.06.003.
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