A clustering method for analysis of morphology of short natural fibers in composites based on X-ray microtomography
Source abstract
Abstract
Abstract The work presented here concerns the methodology for the analysis of X-ray micro-CT scans of composite materials with a discontinuous phase. An automatized method has been devised for the measurement of geometric features and identification of distinct morphological types. This approach offers new insights into the composition of a microstructure based on the analysis of phase morphology and its relative volume percentage. It stays in contrast to the frequency-based approach that attributes the same importance to all elements of the structure, and is thus biased towards numerous, but not necessarily essential components of the material. The method is general and can be applied to any type of discontinuous, dispersed phase in composites identified with X-ray micro-tomography. We have verified our approach for short natural fibers but it may be of interest for characterizing void distribution in RTM manufactured composites or cracks after failure.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Composite Material Mechanics · Natural Fiber Reinforced Composites · Mechanical Behavior of Composites
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (56)
Show source-provided references
1. Stiffness predictions for unidirectional short-fiber composites: review and evaluation10.1016/S0266-3538(98)00120-1 ↗
2. Numerical predictions of 3-D filler orientation and elastic compliance for reinforced plastics containing fillers with aspect ratio distribution10.1002/pc.20016 ↗
3. The effect of non-symmetric distribution of fiber orientation and aspect ratio on elastic properties of composites10.1016/j.compositesb.2006.05.002 ↗
4. Polypropylene-natural fibre composites. Analysis of fibre structure modification during compounding and its influence on the final properties10.1163/156855408783810849 ↗
5. X-ray micro-computed tomography investigation of fibre length degradation during the processing steps of short-fibre composites10.1016/j.compscitech.2014.10.011 ↗
6. Effects of defects on the tensile strength of short-fibre composite materials10.1016/j.mechmat.2014.04.003 ↗
7. Berthet M-A, Mayer-Laigle C, Rouau X, Gontard N, Angellier-Coussy H. Sorting natural fibres: a way to better understand the role of fibre size polydispersity on the mechanical properties of biocomposites. Compos Part A: Appl Sci Manuf 2017;95:12–21.10.1016/j.compositesa.2017.01.011 ↗
8. Monte Carlo simulations of effective electrical conductivity in short-fiber composites
9. Characterization of composite materials made from discontinuous carbon fibres within the framework of composite recycling10.1016/j.compositesa.2015.05.002 ↗
10. Numerical simulation of the effects of volume fraction, aspect ratio and fibre length distribution on the elastic and thermoelastic properties of short fibre composites10.1016/S0266-3538(02)00089-1 ↗
11. Numerical modelling of flax short fibre reinforced and flax fibre fabric reinforced polymer composites
12. Porosity reduction using optimized flow velocity in Resin Transfer Molding10.1016/j.compositesa.2008.09.008 ↗
13. Preparation and properties of polypropylene composites reinforced with wheat and flax straw fibres. Part II. Analysis of composite microstructure and mechanical properties JMS60060 JMS6006010.1023/A:1018578322498 ↗
14. Mechanical properties of short-flax-fibre reinforced compounds10.1016/j.compositesa.2005.10.011 ↗
15. The influence of fibre microstructure on fibre breakage and mechanical properties of natural fibre reinforced polypropylene10.1016/j.compscitech.2009.03.020 ↗
16. Albrecht K, Baur E, Endres H-J, Gente R, Graupner N, Koch M, et al. Measuring fibre orientation in sisal fibre-reinforced, injection moulded polypropylene-pros and cons of the experimental methods to validate injection moulding simulation. Compos Part A: Appl Sci Manuf 2017;95:54–64.10.1016/j.compositesa.2016.12.022 ↗
17. Natural fiber suspensions in thermoplastic polymers. I. Analysis of fiber damage during processing10.1002/app.24704 ↗
18. Study on 3D spatial distribution of steel fibers in fiber reinforced cementitious composites through micro-CT technique10.1016/j.conbuildmat.2013.07.052 ↗
19. Fiber orientation measurements in composite materials10.1016/j.compositesa.2005.04.021 ↗
20. Numerical modeling of the flax fiber morphology variability10.1016/j.compositesa.2014.03.020 ↗
21. Visualization of three-dimensional microstructures10.1016/j.matchar.2004.10.002 ↗
22. In situ experiments with X ray tomography: an attractive tool for experimental mechanics10.1007/s11340-010-9333-7 ↗
23. Quantitative X-ray tomography10.1179/1743280413Y.0000000023 ↗
24. Three dimensional experimental and numerical multiscale analysis of a fatigue crack10.1016/j.cma.2009.09.013 ↗
25. Influence of closure on the 3D propagation of fatigue cracks in a nodular cast iron investigated by X-ray tomography and 3D volume correlation10.1016/j.actamat.2010.01.024 ↗
26. Experimental investigation of void coalescence in a dual phase steel using X-ray tomography10.1016/j.actamat.2013.07.058 ↗
27. Characterization of the morphology of cellular ceramics by 3D image processing of X-ray tomography10.1016/j.jeurceramsoc.2006.05.097 ↗
28. Characterization by X-ray tomography of granulated alumina powder during in situ die compaction10.1016/j.matchar.2013.04.004 ↗
29. Meso-scale FE analyses of textile composite reinforcement deformation based on X-ray computed tomography10.1016/j.compstruct.2014.04.026 ↗
30. Processing of co-bonded scarf repairs: void reduction strategies and influence on strength recovery10.1016/j.compositesa.2016.01.016 ↗
31. Microstructure characterization of CVI-densified carbon/carbon composites with various fiber distributions10.1016/j.compscitech.2012.08.009 ↗
32. Geometrical characterization and micro-structural modeling of short steel fiber composites10.1016/j.compositesa.2014.08.025 ↗
33. Random forests10.1023/A:1010933404324 ↗
34. The WEKA data mining software10.1145/1656274.1656278 ↗
35. X-ray microtomography applications for quantitative and qualitative analysis of porosity in woven glass fiber reinforced thermoplastic10.1016/j.compscitech.2014.02.009 ↗
36. Influence of fibre distribution and grain size on the mechanical behaviour of friction stir processed Mg-C composites10.1016/j.matchar.2015.07.010 ↗
37. Three-dimensional mathematical analysis of particle shape using X-ray tomography and spherical harmonics: application to aggregates used in concrete10.1016/S0008-8846(02)00836-0 ↗
38. A feature extracting and meshing approach for sheet-like structures in rocks10.1016/j.cma.2014.03.020 ↗
39. Geometry and context for semantic correspondences and functionality recognition in manmade 3D shapes10.1145/2516971.2516975 ↗
40. Functional map networks for analyzing and exploring large shape collections
41. Polypropylene/natural fibres composites: analysis of fibre dimensions after compounding and observations of fibre rupture by rheo-optics10.1016/j.compositesa.2011.07.027 ↗
42. Characterisation of void and reinforcement distributions in a metal matrix composite by X-ray edge-contrast microtomography10.1016/S1359-6462(03)00050-2 ↗
43. Three-dimensional analysis of a compression test on stone wool10.1016/j.actamat.2009.03.038 ↗
44. Morphometric classification and spatial organization of spiral ganglion neurons in the human cochlea: consequences for single fiber response to electrical stimulation10.1016/j.neuroscience.2012.03.033 ↗
45. Quantitative analysis of nanostructures’ shape and distribution in micrographs using image analysis10.1016/j.compag.2012.02.013 ↗
46. 3D complex shape characterization by statistical analysis: application to aluminium alloys10.1016/j.matchar.2007.01.012 ↗
47. Automated clustering of lignocellulosic fibres based on morphometric features and using clustering of variables10.1016/j.indcrop.2012.12.021 ↗
48. PN 86/ P-04676: 1986 test methods for textile raw materials - flax and hemp straw - determination of static tensile indices; 1986.
49. Microstructure and mechanical performance of modified hemp fibre and shiv mortars: discovering the optimal formulation10.1016/j.matdes.2015.06.102 ↗
50. Tanatex Chemicals B.V.. EDOLAN UH product information. Tech rep; 2012. .
51. Herman · 2009
52. Baruchel J, Buffiere J, Maire E, Merle P, Peix G. X ray tomography in material science; 2000. p. 204.
53. Efficient implementation of marching cubes’ cases with topological guarantees10.1080/10867651.2003.10487582 ↗
54. Frey · 2008
55. Material-driven mesh of the lumbar spine derived from CT data
56. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. An open source platform for biological image analysis. Nat Meth 2012; 9(7): 676–82. arXiv:1081-8693. doi:http://dx.doi.org/10.1038/nmeth.2019.Fiji.