Using image analysis to measure the porosity distribution of a porous pavement

Martin, William D.; Putman, Bradley J.; Kaye, Nigel B.

doi:10.1016/j.conbuildmat.2013.06.093

Cited by 53 publications

(18 citation statements)

References 7 publications

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“…The image was pre-processed by the GrabCut method; firstly to define the fiber boundary and the energy function, and then to employ the algorithm for separating the image into foreground and background segmentation; thus, the surface morphology of the initially processed surface was obtained. Based on the calculation and porosity analysis method of Martin III et al [18], the concept of representative elemental area (REA) was utilized to calculate the convergence value of the porosity by calculating a plurality of pore distribution. The value of average porosity is defined within the maximum of porosity curve region and within ±5% of the minimum region.…”

Section: Grabcut Analysismentioning

confidence: 99%

Multi-Scale Microstructure Investigation for a PM2.5 Air-Filter Efficiency Study of Non-Woven Polypropylene

Lam

Huang

et al. 2019

QuBS

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A N95 face-piece respirator and a 3M air filter composed of non-woven polypropylene filter material were investigated for their multi-scale microstructure and resulting filtration performance. Filtration mechanisms of each system are found and quantified. Both media showed a gradually decrease of the most penetrating particle size with respect to an increase in face velocity or surface charge density. Increasing the face velocity and porosity dramatically degraded the collection efficiency in the 3M filter rather than in the N95 system. We exploited three-dimensional X-ray tomography to characterize the morphological and geometrical properties of the fiber arrangement and deposition of aerosol on the fiber surface. Tuning the most predominant material parameters to achieve a precedence in lower pressure drop or higher collection efficiency in a specifically captured particle size range is of great requisite to a peculiar application of the filter media.

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Section: Grabcut Analysismentioning

confidence: 99%

Multi-Scale Microstructure Investigation for a PM2.5 Air-Filter Efficiency Study of Non-Woven Polypropylene

Lam

Huang

et al. 2019

QuBS

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“…To characterize internal porosity of the baked samples using image analysis, at least 24‐hour rested samples were cut in half vertically through the middle by using a razor blade (Martin et al, ). The porous cut face of the samples was scanned (Canon CanoScan 9000F MKII Color Image Scanner, Tokyo, Japan) at 600 dpi resolution.…”

Section: Methodsmentioning

confidence: 99%

Utilization of Beeswax Oleogel‐Shortening Mixtures in Gluten‐Free Bakery Products

Demirkesen

Mert

2019

J Americ Oil Chem Soc

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Formulating gluten-free bakery products with acceptable physical properties generally requires a high amount of fat. As the fat used in these products is often high in saturated fatty acids, the objective of this study was to evaluate beeswax (BW) containing oleogels for partial replacement of the shortening in gluten-free aerated products. Oleogels prepared with BW were cocrystallized with a commercial cake shortening in the laboratory scale crystallization unit. Then, the resulting blends were evaluated in the gluten-free cake formulations. When the BW oleogel was used alone, the overrun values of the batter samples decreased, indicating reduced air-holding ability. Product porosity and specific volume of the samples were also diminished with complete replacement of the shortening with BW oleogel. Nevertheless, 45%, 30%, and 15% replacement of the shortening with BW oleogel resulted in batter and baked product properties comparable to those of the control products. Rheological and textural measurements, microscopy, and bubble size distribution suggested that gradual replacement of shortening with oleogels may be an alternative method for a partial reduction of saturated fat without altering the physical properties of gluten-free aerated products.

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“…The surface of the samples was polished with SiC papers and diamond suspensions down to 1 μm. The porosity of the cathodes was estimated from micrographs at different magnifications by counting the volume fraction of the voids using the GIMP software [26]. The porosity of a minimum of 40 images was averaged for each sample.…”

Section: Characterizationmentioning

confidence: 99%

Microstructural and compositional optimization of La_0.5Ba_0.5CoO_3−δ—BaZr_1−zY_zO_3−δ (z = 0, 0.05 and 0.1) nanocomposite cathodes for protonic ceramic fuel cells

et al. 2019

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Cathodes are one of the key components of protonic ceramic fuel cells (PCFCs) requiring further development to enhance the performance of PCFCs. This encompasses the optimization of material compositions and microstructures, as well as a further understanding of the electrode processes. Here, a compositional optimization of a La 0.5 Ba 0.5 CoO 3−δ -BaZrO 3 -based nano-composite cathode prepared by exsolution of a single-phase material was performed by substituting 5 and 10 mol% Y at the B-site in the BaZrO 3 phase. Electrodes with different microstructures were prepared by two different deposition methods, spray coating and screen printing, and by varying the firing temperature from 600°C to 1100°C. Further, composite electrodes were prepared by directly coating and firing the single-phase materials on the dense electrolyte to prepare symmetric cells. A good adhesion of the cathode to the electrolyte was observed in all cases. In general, a more homogeneous microstructure was observed for the cathodes prepared by screen printing. The single step method encompassing exsolution of the single phase and firing of the symmetric cells yielded significant improvement in the cathode performance compared to the other routes. The best electrochemical performance was observed for La 0.5 Ba 0.5 CoO 3−δ -BaZr 0.9 Y 0.1 O 2.95 cathode with an area specific resistance of 4.02 Ω·cm 2 at 400°C and 0.21 Ω·cm 2 at 600°C in 3% moist synthetic air. These results are among the best reported for cathodes of PCFCs as will be discussed.

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Using image analysis to measure the porosity distribution of a porous pavement

Cited by 53 publications

References 7 publications

Multi-Scale Microstructure Investigation for a PM2.5 Air-Filter Efficiency Study of Non-Woven Polypropylene

Multi-Scale Microstructure Investigation for a PM2.5 Air-Filter Efficiency Study of Non-Woven Polypropylene

Utilization of Beeswax Oleogel‐Shortening Mixtures in Gluten‐Free Bakery Products

Microstructural and compositional optimization of La_0.5Ba_0.5CoO_3−δ—BaZr_1−zY_zO_3−δ (z = 0, 0.05 and 0.1) nanocomposite cathodes for protonic ceramic fuel cells

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Using image analysis to measure the porosity distribution of a porous pavement

Cited by 53 publications

References 7 publications

Multi-Scale Microstructure Investigation for a PM2.5 Air-Filter Efficiency Study of Non-Woven Polypropylene

Multi-Scale Microstructure Investigation for a PM2.5 Air-Filter Efficiency Study of Non-Woven Polypropylene

Utilization of Beeswax Oleogel‐Shortening Mixtures in Gluten‐Free Bakery Products

Microstructural and compositional optimization of La0.5Ba0.5CoO3−δ—BaZr1−zYzO3−δ (z = 0, 0.05 and 0.1) nanocomposite cathodes for protonic ceramic fuel cells

Contact Info

Product

Resources

About

Microstructural and compositional optimization of La_0.5Ba_0.5CoO_3−δ—BaZr_1−zY_zO_3−δ (z = 0, 0.05 and 0.1) nanocomposite cathodes for protonic ceramic fuel cells