Ultrasonic tomographic reconstruction of local fiber orientation in multi-layer composites using Gabor filter-based Information Diagram method

2021 ◽  
pp. 102545
Author(s):  
Xiaoyu Yang ◽  
Bing-feng Ju ◽  
Mathias Kersemans
Keyword(s):  
Fiber Orientation ◽  
Gabor Filter ◽  
Tomographic Reconstruction ◽  
Diagram Method ◽  
Local Fiber

scholarly journals Oriented collagen fibers direct tumor cell intravasation

2016 ◽  
Vol 113 (40) ◽  
pp. 11208-11213 ◽  
Author(s):  
Weijing Han ◽  
Shaohua Chen ◽  
Wei Yuan ◽  
Qihui Fan ◽  
Jianxiang Tian ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Extracellular Matrix ◽  
Tumor Cell ◽  
Tumor Cells ◽  
Fiber Orientation ◽  
Breast Cancer Cells ◽  
Protein Concentration ◽  
Collagen Fiber ◽  
Fiber Alignment ◽  
Local Fiber

In this work, we constructed a Collagen I–Matrigel composite extracellular matrix (ECM). The composite ECM was used to determine the influence of the local collagen fiber orientation on the collective intravasation ability of tumor cells. We found that the local fiber alignment enhanced cell–ECM interactions. Specifically, metastatic MDA-MB-231 breast cancer cells followed the local fiber alignment direction during the intravasation into rigid Matrigel (∼10 mg/mL protein concentration).

scholarly journals Alterations in Microstructure and Local Fiber Orientation of White Matter Are Associated with Outcome after Mild Traumatic Brain Injury

2020 ◽  
Vol 37 (24) ◽  
pp. 2616-2623
Author(s):  
Mehrbod Mohammadian ◽  
Timo Roine ◽  
Jussi Hirvonen ◽  
Timo Kurki ◽  
Jussi P. Posti ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
White Matter ◽  
Mild Traumatic Brain Injury ◽  
Fiber Orientation ◽  
Local Fiber

Region-of-Interest X-Ray Tomography for the Non-Destructive Characterization of Local Fiber Orientation in Large Fiber Composite Parts

2019 ◽  
Vol 809 ◽  
pp. 587-593
Author(s):  
Simon Zabler ◽  
Katja Schladitz ◽  
Kilian Dremel ◽  
Jonas Graetz ◽  
Dascha Dobrovolskij
Keyword(s):  
Computed Tomography ◽  
Spatial Resolution ◽  
Fiber Orientation ◽  
Fiber Composite ◽  
Three Dimensional ◽  
Region Of Interest ◽  
Micro Computed Tomography ◽  
X Ray ◽  
Anisotropic Thermal Conductivity ◽  
Local Fiber

To detect and characterize materials defects in fiber composites as well as for evaluatingthe three-dimensional local fiber orientation in the latter, X-ray micro-CT is the preferred methodof choice. When micro computed tomography is applied to inspect large components, the method isreferred to as region-of-interest computed tomography. Parts can be as large as 10 cm wide and 1 mlong, while the measurement volume of micro computed tomography is a cylinder of only 4 − 5 mmdiameter (typical wall thickness of fiber composite parts). In this report, the potentials and limits ofregion-of-interest computed tomography are discussed with regard to spatial resolution and precisionwhen evaluating defects and local fiber orientation in squeeze cast components. The micro computedtomography scanner metRIC at Fraunhofer‘s Development Center X-ray Technology EZRT deliversregion-of-interest computed tomography up to a spatial resolution of 2 μm/voxel, which is sufficientfor determining the orientation of natural or synthetic fibers, wood, carbon and glass. The mean localfiber orientation is estimated on an isotropic structuring element of approximately 0.1 mm length bymeans of volume image analysis (MAVI software package by Fraunhofer ITWM). Knowing the exactlocal fiber orientation is critical for estimating anisotropic thermal conductivity and materials strength.

scholarly journals Local fiber orientation from X-ray region-of-interest computed tomography of large fiber reinforced composite components

2019 ◽  
Vol 183 ◽  
pp. 107786 ◽  
Author(s):  
Thomas Baranowski ◽  
Dascha Dobrovolskij ◽  
Kilian Dremel ◽  
Astrid Hölzing ◽  
Günter Lohfink ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Fiber Orientation ◽  
Region Of Interest ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
X Ray ◽  
Reinforced Composite ◽  
Large Fiber ◽  
Local Fiber

scholarly journals Modeling the Influence of Knots on Douglas-Fir Veneer Fiber Orientation

Fibers ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 54
Author(s):  
Rémy Frayssinhes ◽  
Stéphane Girardon ◽  
Louis Denaud ◽  
Robert Collet
Keyword(s):  
Fiber Orientation ◽  
Douglas Fir ◽  
Branch Ratio ◽  
Theory Approach ◽  
Scanner Data ◽  
Insertion Angle ◽  
Orientation Model ◽  
Local Deviation ◽  
Tree Branch ◽  
Local Fiber

This study presents a method for predicting the local fiber orientation of veneers made from peeled Douglas-fir logs based on the knowledge of the tree branch characteristics (location, radius, insertion angle, azimuth angle, and living branch ratio). This model is based on the Rankine oval theory approach and focuses on the local deviation of the fiber orientation in the vicinity of knots. The local fiber orientation was measured online during the peeling process with an in-house-developed scanner based on the tracheid effect. Two logs from the same tree were peeled, and their ribbons were scanned. The knot locations and fiber orientation were deduced from the scanner data. The first objective was to compare the fiber orientation model with measurements to enhance and validate the model for French Douglas-fir. The second objective was to link data measurable on logs to veneer quality.

scholarly journals Experimental and Numerical Determination of the Local Fiber Volume Content of Unidirectional Non-Crimp Fabrics with Forming Effects

2019 ◽  
Vol 3 (1) ◽  
pp. 19 ◽  
Author(s):  
Siegfried Galkin ◽  
Eckart Kunze ◽  
Luise Kärger ◽  
Robert Böhm ◽  
Maik Gude
Keyword(s):  
Volume Content ◽  
Fiber Orientation ◽  
Detailed Knowledge ◽  
Transverse Compression ◽  
Forming Process ◽  
Fiber Volume ◽  
Forming Simulation ◽  
Draping Simulation ◽  
Local Fiber

Detailed knowledge of the local fiber orientation and the local fiber volume content within composite parts provides an opportunity to predict the structural behavior more reliably. Utilizing forming simulation methods of dry or pre-impregnated fabrics allows for predicting the local fiber orientation. Additionally, during the forming process, so-called draping effects like waviness, gapping or shear-induced transverse compression change the local fiber volume content. To reproduce and investigate such draping effects, different manufacturing tools have been developed in this work. The tools are used to create fabric samples with pre-defined deformation states, representing the different draping effects. The samples are evaluated regarding the resulting fiber volume content. The experimental results are compared with the predictions of an analytical solution and of a numerical solution based on draping simulation results. Furthermore, the interaction of the draping effects at arbitrary strain states is discussed regarding the resulting fiber volume content.

scholarly journals Model Calibration and Data Set Determination Considering the Local Micro-Structure for Short Fiber Reinforced Polymers

2021 ◽  
Vol 5 (2) ◽  
pp. 40
Author(s):  
Andreas Primetzhofer ◽  
Gabriel Stadler ◽  
Gerald Pinter ◽  
Florian Grün
Keyword(s):  
Fiber Orientation ◽  
Model Calibration ◽  
Short Fiber ◽  
Fiber Reinforced Polymers ◽  
Fiber Reinforced ◽  
Micro Structure ◽  
Data Set ◽  
Reinforced Polymers ◽  
Whole Life Cycle ◽  
Local Fiber

To ensure the usability of parts made of fiber-reinforced polymers, a lifetime assessment has to be made in an early stage of the development process. To describe the whole life cycle of these parts, continuous simulation chains can be used. From production to the end of the service life, all influences are mapped virtually. The later material strength is already given after the manufacturing process due to the process dependent fiber alignment. To be able to describe this fiber orientation within the lifetime assessment, this paper presents an approach for model calibration and data set determination to consider the local micro-structure. Therefore, quasi-static and cyclic tests were performed on specimens with longitudinal and transversal fiber orientation. A supplementary failure analysis provides additional information about the local micro-structure. The local fiber orientation is determined with µCT (micro computer tomography)-measurements, correlated to the extraction positions of the specimen, and implemented in a dataset. With an attached lifetime calculation on a demonstrator, a major influence of the local micro-structure on the calculation results can be shown. Therefore, it is indispensable to consider the local fiber orientation in the data set determination of short fiber reinforced polymers.

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