Fiber Volume Fraction Analysis
Fiber Volume Fraction Analysis - Related Videos
10:45
Real-time Iontophoresis with Tetramethylammonium to Quantify Volume Fraction and Tortuosity of Brain Extracellular Space
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Cited by 29 •
2017
This protocol describes real-time iontophoresis, a method that measures physical parameters of the extracellular space (ECS) of living brains. The diffusion of an inert molecule released into the ECS is used to calculate the ECS volume fraction and tortuosity. It is ideal for studying acute reversible changes to brain ECS.
08:22
Preparation of Mitochondrial Enriched Fractions for Metabolic Analysis in Drosophila
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Cited by 13 •
2015
Mitochondria play central roles in the regulation of metabolism and homeostasis. Subtle changes in mitochondrial metabolism that affect organismal physiology could be difficult to detect in whole organism metabolomics studies. Here we describe an isolation method that enhances the detection of subtle metabolic shifts in Drosophila melanogaster.
10:56
Polysome Fractionation and Analysis of Mammalian Translatomes on a Genome-wide Scale
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Cited by 217 •
2014
Ribosomes play a central role in protein synthesis. Polyribosome (polysome) fractionation by sucrose density gradient centrifugation allows direct determination of translation efficiencies of individual mRNAs on a genome-wide scale. In addition, this method can be used for biochemical analysis of ribosome- and polysome-associated factors such as chaperones and signaling molecules.
08:36
Semi-automated Analysis of Mouse Skeletal Muscle Morphology and Fiber-type Composition
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Cited by 26 •
2017
Immunohistochemical staining of myosin heavy chain isoforms has emerged as the state-of-the-art discriminator of skeletal muscle fiber-type (i.e., type I, type IIA, type IIX, type IIB). Here, we present a staining protocol along with a novel semi-automated algorithm that facilitates rapid assessment of fiber-type and fiber morphology.
10:09
Fractional Distillation
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2023
Source: Laboratory of Dr. Nicholas Leadbeater — University of Connecticut Distillation is perhaps the most common laboratory technique employed by chemists for the purification of organic liquids. Compounds in a mixture with different boiling points separate into individual components when the mixture is carefully distilled. The two main types of distillation are "simple distillation" and "fractional distillation", and both are widely used in organic chemistry laboratories. Simple distillation...
FAQs
Fiber volume fraction provides a compositional basis for interpreting stiffness, strength, and fatigue performance. Changes in this value indicate that the relative amounts of reinforcement and resin differ between specimens or manufacturing runs. Engineers can therefore use the measurement to connect observed mechanical behavior with material composition and to assess whether experimental results align with expected composite performance.
These approaches quantify constituents through different types of evidence. Matrix digestion separates the fiber from the surrounding matrix, density measurements infer constituent proportions from material density, and microscopy examines the composite structure directly. Image-based quantification uses analyzed images to estimate constituent areas or volumes. The selected method depends on the available measurement route and the form of the specimen.
A change in resin content alters the proportion of the composite occupied by fibers, even when the reinforcing material itself has not changed. Measuring this variation helps distinguish composition-related effects from other causes of performance differences. In manufacturing studies, the result can reveal inconsistent processing and provide evidence for optimizing resin distribution or controlling batch-to-batch variation.
Image-based quantification uses microscopy images to evaluate the spatial distribution of fibers and matrix within a composite section. It can reveal local variations that a single bulk measurement may not describe, supporting examination of material uniformity. The resulting measurements help engineers assess whether the observed structure is consistent across regions and suitable for comparison with other characterization results.
A typical workflow separates the matrix from the reinforcing fibers, measures or otherwise quantifies the remaining constituents, and calculates their relative volume within the composite. The result is then interpreted as a compositional measurement rather than as an isolated number. This approach is useful when constituent separation provides a practical route for evaluating resin and fiber proportions.
Engineers use this analysis during manufacturing evaluation, quality control, and comparison of experimental materials. It is especially relevant when specimens may differ in resin content or when measured mechanical behavior needs a compositional explanation. Including the result in a study helps document material consistency and supports more reliable interpretation of differences between composite samples.
The measured fiber proportion supplies an experimentally determined material parameter for comparing physical specimens with analytical or computational predictions. Agreement can strengthen confidence that the model represents the tested composite, while disagreement may indicate differences in composition or manufacturing quality. This comparison supports process optimization and improves the interpretation of predicted stiffness, strength, or fatigue behavior.