Fully automated measurement of the spatial distribution of both fibre length and orientation from micro-CT images of short fibre reinforced polymers
Source abstract
Abstract
The morphology of Short Fibre Reinforced Polymers (SFRPs) plays a fundamental role in determining their stiffness, strength and fracture behaviour. Measurements tools for the analysis of their microstructure are therefore of paramount importance. To this end, a fully automated algorithm able to segment single fibres from X-ray micro-computed tomography images was developed. This method was tailored to reconstruct the microstructure of large volumes of material; in particular, to acquire fibre length, position and orientation, even dealing with low-resolution images. The algorithm was tested on different specimens of short glass fibre-reinforced polyamide and it was validated comparing the fibre orientation with the one obtained with commercial software analysis and the fibre length with the experimentally determined one. Therefore, the proposed algorithm allows to easily identify microstructural trends without requiring the usual complex evaluating procedures.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Composite Material Mechanics · Optical measurement and interference techniques · Mechanical Behavior of Composites
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (54)
Show source-provided references
1. The use of tensors to describe and predict fiber orientation in short fiber composites10.1122/1.549945 ↗
2. Comparison and error estimation of 3D fibre orientation analysis of computed tomography image data for fibre reinforced composites10.1016/j.ndteint.2018.01.001 ↗
3. Micro-CT analysis of internal structure of sheared textile composite reinforcement10.1016/j.compositesa.2015.03.008 ↗
4. Micro-CT based structure tensor analysis of fibre orientation in random fibre composites versus high-fidelity fibre identification methods10.1016/j.compstruct.2019.111818 ↗
5. Quantification of the internal structure and automatic generation of voxel models of textile composites from X-ray computed tomography data10.1016/j.compositesa.2014.11.016 ↗
6. A novel image analysis procedure for measuring fibre misalignment in unidirectional fibre composites10.1016/j.compscitech.2008.10.020 ↗
7. Analysis of fibre orientation distribution in short fibre reinforced polymers: a comparison between optical and tomographic methods10.1016/j.compscitech.2012.08.018 ↗
8. Zanini · 2019 · vol. 24
9. Validation of the modified rule of mixtures using a combination of fibre orientation and fibre length measurements10.1016/j.compositesa.2014.04.017 ↗
10. A novel fiber length measurement technique for discontinuous fiber‐reinforced composites: a comparative study with existing methods10.1002/pc.24466 ↗
11. Automatic glass fiber length measurement for discontinuous fiber-reinforced composites10.1016/j.compositesa.2018.06.016 ↗
12. Automatic determination of fiber-length distribution in composite material using 3D CT data
13. Evaluation of computed tomography data from fibre reinforced polymers to determine fibre length distribution10.3139/217.2441 ↗
14. A novel method for the determination of fibre length distributions from μCT-data
15. A monte-carlo algorithm for 3D fibre detection from microcomputer tomography10.1155/2016/2753187 ↗
16. Microstructural analysis of short glass fiber reinforced thermoplastics based on x-ray micro-computed tomography10.1016/j.compscitech.2019.107752 ↗
17. Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions10.1016/j.compscitech.2022.109458 ↗
18. Carbon fibre sheet moulding compounds with high in-mould flow: linking morphology to tensile and compressive properties10.1016/j.compositesa.2019.105600 ↗
19. Effect of reprocessing on the fatigue strength of a fibreglass reinforced polyamide10.1016/j.compositesa.2006.09.012 ↗
20. Carvelli · 2017
21. Effect of fiber length on thermomechanical properties of short carbon fiber reinforced polypropylene composites10.1016/j.matdes.2008.05.005 ↗
22. Effects of fiber length and fiber orientation distributions on the tensile strength of short-fiber-reinforced polymers10.1016/S0266-3538(96)00072-3 ↗
23. Analysis of the effect of mechanical recycling upon tensile strength of a short glass fibre reinforced polyamide 6,610.1016/j.engfracmech.2006.10.002 ↗
24. On the possibility of reduced variable predictions for the thermoelastic properties of short fibre composites10.1016/j.compscitech.2003.09.007 ↗
25. 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 ↗
26. Micromechanical modelling of short fibre composites considering fibre length distributions10.1016/j.compositesb.2023.110868 ↗
27. Prediction of failure properties of injection-molded short glass fiber-reinforced polyamide 6,610.1016/j.compositesa.2013.05.004 ↗
28. Prediction of tensile strength of discontinuous carbon fiber/polypropylene composite with fiber orientation distribution10.1016/j.compositesa.2012.05.006 ↗
29. An original approach for mechanical modelling of short-fibre reinforced composites with complex distributions of fibre orientation10.1016/j.compositesa.2014.03.016 ↗
30. Identification of the flax fibre modulus based on an impregnated quasi-unidirectional fibre bundle test and X-ray computed tomography10.1016/j.compscitech.2017.07.029 ↗
31. A review of Long fibre thermoplastic (LFT) composites10.1080/09506608.2019.1585004 ↗
32. 2020 · 1997
33. Volume Graphics. VG-studio Max n.d.
34. Fibre and failure characterization in long glass fibre reinforced polypropylene by X-ray computed tomography10.1016/j.polymertesting.2023.108313 ↗
35. Measurement and quantitative analysis of fiber orientation distribution in long fiber reinforced part by injection molding10.1016/j.polymertesting.2015.01.016 ↗
36. Influence of flowability, casting time and formwork geometry on fiber orientation and mechanical properties of UHPFRC10.1016/j.cemconres.2017.02.017 ↗
37. Fiber orientation quantification utilizing X-ray micro-computed tomography10.1177/0021998320962555 ↗
38. Orientation behavior of fibers in concentrated suspensions10.1177/073168448400300201 ↗
39. Fiber orientation in simple injection moldings. Part I: theory and numerical methods10.1002/pc.750130409 ↗
40. Fiber orientation in simple injection moldings. Part II: experimental results10.1002/pc.750130410 ↗
41. Improved fiber orientation predictions for injection molded fiber composites10.1016/j.compositesa.2017.04.004 ↗
42. Rudolph · 2015
43. Fiber orientation predictions—a review of existing models10.3390/jcs4020069 ↗
44. Measuring fiber length in the core and shell regions of injection molded long fiber-reinforced thermoplastic plaques10.3390/jcs4030104 ↗
45. Analysis of fiber damage mechanisms during processing of reinforced polymer melts10.1016/S0955-7997(02)00018-8 ↗
46. Chen · 2017
47. Automated tracing of microtubules in electron tomograms of plastic embedded samples of Caenorhabditis elegans embryos10.1016/j.jsb.2011.12.004 ↗
48. Statistical validation of individual fibre segmentation from tomograms and microscopy10.1016/j.compscitech.2018.03.027 ↗
49. X-ray scattering tensor tomography based finite element modelling of heterogeneous materials10.1038/s41524-024-01234-5 ↗
50. Meso-FE modelling of textile composites and X-ray tomography10.1007/s10853-020-05225-x ↗
51. Single carbon and glass fibre properties characterised using large data sets obtained through automated single fibre tensile testing10.1016/j.compositesa.2021.106389 ↗
52. Synthesising realistic 2D microstructures of unidirectional fibre-reinforced composites with a generative adversarial network10.1016/j.compscitech.2024.110539 ↗
53. Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion10.1038/s42256-021-00322-1 ↗
54. A long-range force based random method for generating anisotropic 2D fiber arrangement statistically equivalent to real composites10.1016/j.compscitech.2019.05.013 ↗