Analysis of standard sieving method for milled biomass through image processing. Effects of particle shape and size for poplar and corn stover

Gil, Miguel; Teruel, Enrique; Arauzo, Inmaculada

doi:10.1016/j.fuel.2013.08.011

Cited by 54 publications

(27 citation statements)

References 39 publications

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“…The particle size distribution via 2D image analysis [47] was carried out only on samples of the biomass types with larger particles, i.e. wood chips and RCG straw.…”

Section: D Image Analysismentioning

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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“…The particle size distribution via 2D image analysis [47] was carried out only on samples of the biomass types with larger particles, i.e. wood chips and RCG straw.…”

Section: D Image Analysismentioning

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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show abstract

“…This can be explained by the existing difference on particle shape and composition between the two biomass fuels. On the one hand, particle shape of different biomasses, woody and herbaceous biomass in this case, have been proved to be quite different [36] and be responsible of changes on combustion behavior [12] as well as flame structure and emissions [17,35]. On the other hand, thermogravimetric analysis reveals very different combustion behavior [25].…”

Section: Quantitative Indicators and Their Relation To Combustion Permentioning

confidence: 81%

Experimental analysis of biomass co-firing flames in a pulverized fuel swirl burner using a CCD based visualization system

González-Cencerrado

Peña

Gil

2015

Fuel Processing Technology

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“…It is logical since the milling process usually produces bigger and longer dimensions of biomass compared to the fiber dimension. The aspect ratio (AR), which is defined as the dimensionless ratio between the length and the thickness of the particle [24], was 5. This is also a realistic assumption since according to particle classification based on its shape factors, particles are classified into several classes, in which one of the classes is rectangle fibrous which has AR higher than 3.3 [24].…”

Section: Simulation Results Of Base Casementioning

confidence: 99%

“…The aspect ratio (AR), which is defined as the dimensionless ratio between the length and the thickness of the particle [24], was 5. This is also a realistic assumption since according to particle classification based on its shape factors, particles are classified into several classes, in which one of the classes is rectangle fibrous which has AR higher than 3.3 [24]. The effective diffusivity of the active compound (DeA) and the soluble product of reactive extraction (DeC) used in the base case simulation were 2.10 -4 cm 2 /min and 1.10 -4 cm 2 /min, respectively.…”

Section: Simulation Results Of Base Casementioning

confidence: 99%

Mathematical Modeling of Reactive Extraction of Solute from Slab Solid Material

et al. 2020

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Reactive extraction is gaining higher attention due its wide application in various solute separation processes. Here, a mathematical model of reactive extraction in slab has been proposed. The model was developed by considering simultaneous processes of active compound intra particle diffusion, second order elemental reaction of soluteactive compound, and intra-particle product diffusion. The obtained partial differential equations (PDEs) were solved using Finite Difference Approximation (FDA) method by using realistic parameters. Concentration profile as well as product yield were evaluated as a function of time. As a result, the model proposed here may serve as a basis design for reactive extraction unit. Sensitivity analyses was conducted to inspect the influence of slab thickness, diffusivity and reaction rate constant to the product yield. Eventually, model validation was conducted by comparing the simulation results with analytical solutions for special cases. Validation results showed that the model gave good agreement with the analytical solution.

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Analysis of standard sieving method for milled biomass through image processing. Effects of particle shape and size for poplar and corn stover

Cited by 54 publications

References 39 publications

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

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

Experimental analysis of biomass co-firing flames in a pulverized fuel swirl burner using a CCD based visualization system

Mathematical Modeling of Reactive Extraction of Solute from Slab Solid Material

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