Fiber identification of braided composites using micro-computed tomography

Melenka, Garrett W.; Gholami, Ali

doi:10.1016/j.coco.2021.100813

Cited by 16 publications

(6 citation statements)

References 33 publications

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“…The cross-sectional images of the yarn can be obtained by slicing the yarn using a microtome and then imaging these slices using an optical microscope [18,19]. In addition to the microtome approach, the yarn's slices can be obtained by micro-computed tomography scanning machines, where the yarn is three-dimensionally (3D) scanned and a digital actual 3D model of the yarn is constructed [20][21][22]. The cross-section images/slices can be reconstructed from that scan, the computed tomography slices give insight into the internal and external structure of the yarn; hence, these slices can be useful for modeling and understanding the parameters of the textile yarn.…”

Section: The Measurement Of the Fibers' Diameter 231 Obtaining Yarn's...mentioning

confidence: 99%

MATLAB Algorithms for Diameter Measurements of Textile Yarns and Fibers through Image Processing Techniques

Abdelkader

2022

Materials

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Textile yarns are the fundamental building blocks in the fabric industry. The measurement of the diameter of the yarn textile and fibers is crucial in textile engineering as the diameter size and distribution can affect the yarn’s properties, and image processing can provide automatic techniques for faster and more accurate determination of the diameters. In this paper, facile and new methods to measure the yarn’s diameter and its individual fibers diameter based on image processing algorithms that can be applied to microscopic digital images. Image preprocessing such as binarization and morphological operations on the yarn image were used to measure the diameter automatically and accurately compared to the manual measuring using ImageJ software. Additionally, the image preprocessing, the circular Hough transform was used to count the individual fibers in a yarn’s cross-section and count the number of fibers. The algorithms were built and deployed in a MATLAB (R2020b, The MathWorks, Inc., Natick, Massachusetts, United States) environment. The proposed methods showed a reliable, fast, and accurate measurement compared to other different image measuring softwares, such as ImageJ.

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Section: The Measurement Of the Fibers' Diameter 231 Obtaining Yarn's...mentioning

confidence: 99%

MATLAB Algorithms for Diameter Measurements of Textile Yarns and Fibers through Image Processing Techniques

Abdelkader

2022

Materials

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“…In this research, a 3D model was utilized to evaluate the impact-induced damage in geopolymer composites reinforced with carbon, E-glass, and basalt fibres. Melenka and Gholami [9] used µCT to extract the geometrical properties of TBC fibres.…”

Section: Introductionmentioning

confidence: 99%

Extracting parameters of µCT scanned open mesh tubular braided composite materials' yarn using image processing techniques

Gholami,

Melenka

2023

Progress in Canadian Mechanical Engineering. Volume 6

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“…Therefore, the mechanical properties of this structure such as tensile properties and internal geometry braided composites have been the subject of a large number of research works. [19][20][21][22][23][24][25][26][27][28][29][30][31] For example, Wang et al [21] Studied the torsional properties of 3D braided composite shafts numerically and experimentally. The experimental results validated the FE model.…”

Section: Introductionmentioning

confidence: 99%

An experimentally validated model for predicting the tensile modulus of tubular biaxial and triaxial hybrid braids

et al. 2022

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Braiding is a versatile and cost-effective approach to generating various composite structures for mechanical, sports, and biomedical engineering applications, which are different from each other. For example, a stent is a braided structure and blood penetration in it is essential as much as the right function. Predicting the tensile responses is a prerequisite for the success of implementation of braided structures, and it is usually performed via destructive mechanical testing that might be costly and/or time-consuming. Therefore, it is essential to provide a model that can accurately predict the tensile modulus. In this research, a theoretical model is developed using the simplification of a braided structure and is validated via testing of biaxial and triaxial braids composed of polyester, glass, and basalt yarns on a 16-carrier vertical braiding machine. Experimental results not only are used for the model validation but also show the effectiveness of axial yarn presence, hybridization, and the presence of high-performance yarn in the braided structures on the tensile properties. A good correlation between theoretical values and experimental results is observed approving the high accuracy of the proposed model. This paper is likely to fill a gap in the state of the art and provide pertinent results that are instrumental in the design of hybrid-braided structures with minimum computational/experimental effort. The research innovation centers on the use of two different yarns to make hybridization, simplicity of the model to be used for biaxial and triaxial braided structures, and a start to omit destructive tests.

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Fiber identification of braided composites using micro-computed tomography

Cited by 16 publications

References 33 publications

MATLAB Algorithms for Diameter Measurements of Textile Yarns and Fibers through Image Processing Techniques

MATLAB Algorithms for Diameter Measurements of Textile Yarns and Fibers through Image Processing Techniques

Extracting parameters of µCT scanned open mesh tubular braided composite materials' yarn using image processing techniques

An experimentally validated model for predicting the tensile modulus of tubular biaxial and triaxial hybrid braids

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