Physical characterization of sweet sorghum bagasse, tobacco residue, soy hull and fiber sorghum bagasse particles: Density, particle size and shape distributions

Cardoso, Cássia Regina Primila; Oliveira, Tiago José Pires de; Santana, Juliana Alves; Ataíde, Carlos Henrique

doi:10.1016/j.powtec.2013.04.029

Cited by 52 publications

(25 citation statements)

References 25 publications

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“…Compared to the poplar and wheat straw samples, the pulverized wood showed a stronger anisotropy in shape (Symm = 0.68), which might be caused by the particle edge deformation during secondary comminution. Overall, 2D dynamic imaging analysis showed that the particles of a different size had similar rectangular shapes and that the ratio between particle dimensions did not change significantly with decreasing particle size, which is in line with the results of Cardoso et al [37]. In Fig.…”

Section: Particle Shape Analysissupporting

confidence: 91%

One way of representing the size and shape of biomass particles in combustion modeling

Trubetskaya

Beckmann²,

Wadenbäck

et al. 2017

Fuel

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a b s t r a c tThis study aims to provide a geometrical description of biomass particles that can be used in combustion models. The particle size of wood and herbaceous biomass was compared using light microscope, 2D dynamic imaging, laser diffraction, sieve analysis and focused beam reflectance measurement. The results from light microscope and 2D dynamic imaging analysis were compared and it showed that the data on particle width, measured by these two techniques, were identical. Indeed, 2D dynamic imaging was found to be the most convenient particle characterization method, providing information on both the shape and the external surface area. Importantly, a way to quantify all three dimensions of biomass particles has been established. It was recommended to represent a biomass particle in combustion models as an infinite cylinder with the volume-to-surface ratio (V/A) measured using 2D dynamic imaging.

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Section: Particle Shape Analysissupporting

confidence: 91%

One way of representing the size and shape of biomass particles in combustion modeling

Trubetskaya

Beckmann²,

Wadenbäck

et al. 2017

Fuel

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“…The particle size distribution of the samples used for the treatment was 75-1000 μm estimated through the sieve analysis [19]. The bulk density of the raw SSB powder was 85.79 (±5.73) (kg/m 3 ) estimated using a 100-mL measuring cylinder [20].…”

Section: Resultsmentioning

confidence: 99%

“…The particle size distribution of the SSB powder was estimated using sieve analysis [19], and the bulk density of the solid samples produced through the steam-assisted and microwave-assisted methods was estimated using a 100-mL measuring cylinder [20]. The dielectric properties of the SSB slurries with water and lime solution at 2450 MHz were measured by using a network analyser equipped with a probe (Agilent 8722 ES s-parameter, Agilent USA).…”

Section: Methodsmentioning

confidence: 99%

Comparison of steam-assisted versus microwave-assisted treatments for the fractionation of sweet sorghum bagasse

Kurian

Gariépy

Orsat

et al. 2015

Bioresour. Bioprocess.

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Background: The fractionation of lignocellulosic materials can be applied to get each of the components (cellulose, hemicellulose and lignin) of biomass in its maximum purity and yield. The individual component can be further processed to high-value products such as fuels and biomaterials at existing or newly developing biorefineries. The steam-assisted and microwave (MW)-assisted processes were used to fractionate sweet sorghum bagasse into hemicellulosic sugars, cellulose-rich and high-density residue and solid lignin. The treatment temperature evaluated for the fractionation process was 121°C for 30 to 120 min. The substrate was autohydrolysed to extract the hemicellulose, and the residue was delignified using lime solution to obtain cellulose-rich residue. The lignin and lime from the liquor obtained after the lime treatment of the autohydrolysed sweet sorghum bagasse (SSB) was precipitated using carbon dioxide gas. Results: Under optimum conditions, the steam-assisted autohydrolysis extracted 72.69 (±0.08) % by weight of the hemicelluloses while the MW-assisted autohydrolysis extracted 70.83 (±0.49) % of the hemicelluloses from the sweet sorghum bagasse. The steam-assisted lime treatment resulted in 69.67 (±1.26) % of the lignin extraction the MW-assisted lime treatment resulted in 68.27 (±1.19) % of the lignin extraction from the corresponding autohydrolysed sweet sorghum bagasse samples. The CO 2 treatment precipitated 58.85 (±3.2) % of the lignin dissolved in the yellow liquor of the steam-assisted process while 60.26 (±2.11) % of the dissolved lignin was recovered from the yellow liquor of the MW-assisted process.

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“…In particular, milling [6][7][8], densification [9,10] and thermal treatment [11 -13] affect particle size and shape distribution, bulk density and energy density. With specific reference to solids from particulate biomasses, handling and feeding present further difficulties due to peculiar properties both at particle level and at bulk level that make these materials even more unpredictable than other granular materials traditionally processed by industry, especially in terms of flow reliability and control [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Assessment on bulk solids best practice techniques for flow characterization and storage/handling equipment design for biomass materials of different classes

Berry

Larsson

Lestander

et al. 2015

Fuel Processing Technology

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This paper shows the results of a collaborative project in which four different laboratories have carried out complementary characterization tests on samples of the same set of lignocellulosic biomass materials with the objectives of better understanding their properties and identifying any critical features of the different characterization procedures. Three different types of material were used as model biomasses: 1) Scots pine wood chips, as an example of a coarse and flaky particulate biomass with some elastic properties; 2) chopped straw of reed canary grass as a nesting biomass having long and flaky fibers; 3) Scots pine wood powder as a fine particulate with elastic and cohesive properties. Particle size and shape analyses were carried out with; calipers, 2D image analysis, 3D image analysis (ScanChip) and through mechanical sieving. Applications and validity limits of each of these techniques are evaluated and discussed. The flow function and internal friction 2 were determined with a Schulze ring shear tester, a Brookfield powder flow tester and a large ring shear tester. No significant differences in the results generated by these shear testing techniques were found. Wall friction measurements were carried out with a Schulze ring shear tester; a Brookfield powder flow tester; a large Jenike shear tester and a Casagrande shear box. Results, in this case, showed significant differences with a higher wall friction coefficient obtained with the larger shear cell. Additionally, tensile strengths of biomass materials were measured by the use of a novel measurement technique. Arching tests were carried out in a pilot scale plane silo with variable hopper geometry and results were compared with those predicted by applying the Jenike procedure and a modified procedure which assumed tensile strength was the controlling material property (rather than unconfined yield strength). Finally, safety of handling and storage was assessed by carrying out explosion tests on dusts from Scots pine and reed canary grass.KEYWORDS: lignocellulosic biomass, particle size, particle shape, flowability, arching, explosion RESEARCH HIGHLIGHTS: Suitable test methods were classified for three biomass classes  Different particle sizing methods give a wide range of results  Shear tests do not discriminate flowability differences between the biomass classes  Arching behavior depends more on tensile strength than on compressive strength  Scots pine and reed canary grass dusts are flammable

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Physical characterization of sweet sorghum bagasse, tobacco residue, soy hull and fiber sorghum bagasse particles: Density, particle size and shape distributions

Cited by 52 publications

References 25 publications

One way of representing the size and shape of biomass particles in combustion modeling

One way of representing the size and shape of biomass particles in combustion modeling

Comparison of steam-assisted versus microwave-assisted treatments for the fractionation of sweet sorghum bagasse

Assessment on bulk solids best practice techniques for flow characterization and storage/handling equipment design for biomass materials of different classes

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