Figure 2 - uploaded by Yifan Zhang
Content may be subject to copyright.
Schematic diagram of compression devices.  

Schematic diagram of compression devices.  

Source publication
Article
Full-text available
The high-performance filament yarns, such as carbon fiber yarn, glass fiber yarn, and Kevlar fiber yarn, have characterized as unidirectional,high parallel filament in fiber bundle. However, due to the difficulties in statistically analyzing the micro-structural characteristics of high-performance fiber bundles comprising of thousands of filaments,...

Contexts in source publication

Context 1
... energy range of the beamline was 10-65 keV and the beam cross-section was 45 mm × 5 mm. Compression devices ( Figure 2) were made of Plexiglas (density of 1.18 g/cm 3 ) with 11-mm width and 40-mm length. The physical specifications were listed in Table 1. ...
Context 2
... testing, nylon filaments were cut into the required length and paralleled in the compression device as shown in Figure 2. The device was fastened to a multi- dimensional motion platform with six degrees of freedom; therefore, the orientation of fiber bundles can be adjusted during the process of imaging with a CCD. ...

Similar publications

Article
Full-text available
Aims The Z-disc is a crucial structure of the sarcomere and is implicated in mechanosensation/transduction. Dysregulation of Z-disc proteins often result in cardiomyopathy. We have previously shown that the Z-disc protein Cytoskeletal Heart-enriched Actin-associated Protein (CHAP) is essential for cardiac and skeletal muscle development. Furthermo...
Article
Full-text available
The somatic translocation t(8;21)(q22;q22)/RUNX1-RUNX1T1 is one of the most frequent rearrangements found in children with standard-risk acute myeloid leukemia (AML). Despite the favorable prognostic role of this aberration, we recently observed a higher than expected frequency of relapse. Here, we employed an integrated high-throughput approach ai...
Article
Full-text available
Reduced one-dimensional equations for the stationary, isothermal rotational spinning process of slender fibers are considered for the case of large Reynolds ($\delta=3/\text{Re}\ll 1$) and small Rossby numbers ($\varepsilon \ll 1$). Surface tension is included in the model using the parameter $\kappa=\sqrt{\pi}/(2 \text{We})$ related to the inverse...
Article
Full-text available
In this study, we investigated the mechanical behavior of short fiber reinforced composite by using a computational approach for predicting damage evolution and mechanical properties according to the respective mechanical characteristics of the matrix, the fibers and the volume fraction. In this computational approach, for a more accurate calculati...
Article
Full-text available
In this study, tensile experiments of Twaron fiber tows under different strain rates (quasi-static: 0.001 s⁻¹, dynamic: 800–2400 s⁻¹) were tested with an MTS materials tester (MTS 810.23) and a split Hopkinson tension bar, respectively. The results showed that the mechanical properties of the Twaron fiber tows were sensitive to strain rate: the sti...

Citations

... To investigate the transverse compression mechanisms in meso-scale, the synchrotron X-ray microcomputed tomography (CT) has been used to in-situ observe the cross-sectional deformation caused by the variation of fibers distribution in the fiber bundle crosssection. 24,25 The bundle cross-sectional parameters which include cross-sectional area, perimeter, filling factor, etc. can be calculated on the basis of the fibers distribution within the bundle cross-section. Although the bundle model with closely distributed fibers has been established to study transverse compressive strains of Kevlar KM2 fibers, 26,27 the scanning electron microscope (SEM) images 28 indicated that fibers were stochastically distributed in the bundle cross-section. ...
Article
Full-text available
Transverse compression-induced cross-sectional deformation of parallel fiber bundles usually acts as the fundamental structural mechanism for bundle-based materials. In the present article, a meso-scale insight into the cross-sectional responses of parallel fiber bundle under transverse compression was made. A novel algorithm was proposed to design and model the bundle cross-sectional meso-structure with randomly distributed fibers. The transverse compression induced bundle cross-sectional responses (including cross-sectional perimeter, area and filling factor) were simulated and analyzed based on the finite element method, and were verified experimentally for the bundle with 91 fibers. Results showed that the load began to increase significantly when the perimeter growth rate of the bundle cross-section was larger than 0.8, and the load gradually reached the peak value when the perimeter growth rate was about 1.5. The Mises stress distribution of the bundle gradually neared to the Gaussian distribution when load sharply increased. The results presented in the current paper can provide a novel method to generate randomly distributed fibers and a theoretical guidance for the mechanical properties prediction of bundle-based materials by analyzing the bundle cross-sectional deformation in transverse compression.
... When yarn is compressed transversely, the yarn distribution and fiber volume fraction change, which affects the resin impregnation velocity when making composites and the end mechanical properties. 7 The pressure required to push the resin through the matrix is created when the fabric is saturated, and the resin has completely filled all of the pores. It should be sufficient to create a resin flow through the yarns and between the yarns, leading to fabric compaction. ...
Article
Full-text available
The inherent complexity of textile preforms and a high degree of consistency in dry fabrics and yarns present a number of modeling challenges, including uncertainty in geometrical characteristics under external loads, non-elastic deformations of fibrous media, and multiple deformation modes at the fiber and yarn scales. The prediction of the compaction reaction for different preforms is still possible thanks to the direct measurements of yarn compaction. The data are checked against compression stress-thickness curves that were produced by compacting yarns and preforms. The yarn and fabric compaction model given in this article demonstrates the final characteristics of woven preforms. The yarn compaction curve exhibits asymptotic hardening with a restricted compaction state attained at high compression stress and as the limit deformations are being approached. The yarn count, yarn fiber volume ratio, and the spinning method all affected the compression modulus. The transverse compression behaviour of yarns and fabrics was studied both analytically and experimentally. Mechanisms of fabric compressibility have been found to be reliant on both fabric and yarn specifications of warp and weft Young’s modulus. Investigations were made into the fabric’s fiber volume fraction under compression stress. When producing composite with low fiber volume fraction preforms, it may be more efficient to use more compression, according to research on the link between compressive stress and fabric volume fraction. The relationship between the compressive stress and fabric volume fraction was investigated, as well as the value of maximum compression stress.
Article
A macroscale non-orthogonal constitutive material model for woven fabrics based on a mesoscale unit cell is developed and implemented in an explicit finite element code. The model utilizes two important deformation mechanisms involved in woven fabrics: (1) Yarn elongation, and (2) Relative yarn rotation due to shear loads. The yarns' uniaxial tensile response is modeled using nonlinear springs within the unit cell formulation while a nonlinear rotational spring is used to define the fabric's shear stiffness. Continuum mechanics are employed to keep track of the yarn orientations at a given unit cell configuration. Material properties/parameters of the model can be easily determined from standard experimental tests. The material model is validated using uniaxial tensile, bias extension, 30° off axis tension and indentation tests for two different plain weave Kevlar fabrics. The results show that the developed model is capable of the mechanical response of the woven fabrics under various loading conditions.