Fiber identification of braided composites using micro-computed tomography

被引:14
|
作者
Melenka, Garrett W. [1 ]
Gholami, Ali [1 ]
机构
[1] Lassonde Sch Engn, Dept Mech Engn, 4700 Keele St, N York, ON M3J 1P3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Braided composites; Micro-computed tomography; Fiber identification; ELECTRON TOMOGRAMS; SIMULATION;
D O I
10.1016/j.coco.2021.100813
中图分类号
TB33 [复合材料];
学科分类号
摘要
Braided composites contain interwoven fibers that are embedded in a matrix material. Advanced measurement methods are required to accurately measure and characterize braided composites due to their interwoven composition. Micro-computed tomography (mu CT) is an X-ray based measurement method that allows for the internal structure of objects to be examined. High-resolution mu CT of braided composites allows for their internal geometry to be accurately measured. Braid samples were measured with a voxel size of 1.0 mu m(3), which resulted in a field of view of 4.904 x 4.904 x 3.064 mm(3). With this field of view, individual fibers within the braid yarns could be identified and measured. The scientific visualization software package Avizo and the XFiber extension was used to identify and measure braid yarn fibers from the collected mu CT measurements. Fiber properties such as orientation angles (phi and theta), curved fiber length, tortuosity, and fiber diameter were obtained. Additionally, finite element mesh geometries of the braid yarns within a braided structure were created. The presented methodology provides a roadmap for the accurate modeling of braided composite unit cell geometries using high-resolution mu CT data.
引用
收藏
页数:7
相关论文
共 50 条
  • [11] Micro-computed tomography for the identification and characterization of archaeological lime bark
    Jörg Stelzner
    Sebastian Million
    Ingrid Stelzner
    Oliver Nelle
    Johanna Banck-Burgess
    [J]. Scientific Reports, 13 (1)
  • [12] Visualization and quantification of low-velocity impact damage of three-dimensional braided CFRP composites by micro-computed tomography
    Sun, Mengyao
    Zhang, Diantang
    Qian, Kun
    [J]. HELIYON, 2022, 8 (12)
  • [13] A comparison of paraseptal to centrilobular emphysema using computed and micro-computed tomography
    Tanabe, Naoya
    Vasilescu, Dragos
    Hague, Cameron
    Kirby, Miranda
    Coxson, Harvey
    Verleden, Stijn
    Vanaudenaerde, Bart
    Hogg, James
    [J]. EUROPEAN RESPIRATORY JOURNAL, 2018, 52
  • [14] Stochastic framework for quantifying the geometrical variability of laminated textile composites using micro-computed tomography
    Vanaerschot, Andy
    Cox, Brian N.
    Lomov, Stepan V.
    Vandepitte, Dirk
    [J]. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2013, 44 : 122 - 131
  • [15] Correlation with Micro-Computed Tomography and Histology
    Jinnouchi, Hiroyuki
    Romero, Maria E.
    Torii, Sho
    Sakamoto, Atsushi
    Surve, Dipti
    Kolodgie, Frank
    Finn, Aloke
    Virmani, Renu
    [J]. MODERN PATHOLOGY, 2019, 32
  • [16] Correlation with Micro-Computed Tomography and Histology
    Jinnouchi, Hiroyuki
    Romero, Maria E.
    Torii, Sho
    Sakamoto, Atsushi
    Surve, Dipti
    Kolodgie, Frank
    Finn, Aloke
    Virmani, Renu
    [J]. LABORATORY INVESTIGATION, 2019, 99
  • [17] Coal cleat reconstruction using micro-computed tomography imaging
    Jing, Yu
    Armstrong, Ryan T.
    Ramandi, Hamed Lamei
    Mostaghimi, Peyman
    [J]. FUEL, 2016, 181 : 286 - 299
  • [18] Evaluation of the structure of the otoconial layer using micro-computed tomography
    Nishihara, Eriko
    Okada, Masahiro
    Kiyoi, Takeshi
    Shudou, Masachika
    Imai, Yuuki
    Hato, Naohito
    [J]. AURIS NASUS LARYNX, 2020, 47 (05) : 734 - 739
  • [19] Analysis of gas diffusivity in coal using micro-computed tomography
    Lu, Xiao
    Armstrong, Ryan T.
    Mostaghimi, Peyman
    [J]. FUEL, 2020, 261
  • [20] Analysis of airway pathology in COPD using a combination of computed tomography, micro-computed tomography and histology
    Tanabe, Naoya
    Vasilescu, Dragos M.
    Kirby, Miranda
    Coxson, Harvey O.
    Verleden, Stijn E.
    Vanaudenaerde, Bart M.
    Kinose, Daisuke
    Nakano, Yasutaka
    Pare, Peter D.
    Hogg, James C.
    [J]. EUROPEAN RESPIRATORY JOURNAL, 2018, 51 (02)