Assessment of angle of repose of granular plant material using computer image analysis

Frączek, J.; Złobecki, A.; Zemanek, Joseph

doi:10.1016/j.jfoodeng.2006.11.028

Cited by 70 publications

(32 citation statements)

References 1 publication

(1 reference statement)

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“…Three common methods mentioned in the literature are injection method, discharge method, and tilting method (Linoya et al, 1990;Kalman et al, 1993). Two common ways to implement the injection method are constant height and constant base (Fowler and Wyatt, 1960;Kalman et al, 1993;Fraczek et al, 2007). The discharge method is also called the emptying method (Fraczek et al, 2007).…”

Section: Bulk Angle Of Reposementioning

confidence: 99%

“…Two common ways to implement the injection method are constant height and constant base (Fowler and Wyatt, 1960;Kalman et al, 1993;Fraczek et al, 2007). The discharge method is also called the emptying method (Fraczek et al, 2007). The revolving cylinder and tilting box are both used in the tilting method Train, 1958;Fowler and Wyatt, 1960;Burmistrova et al, 1963;Kalman et al, 1993).…”

Section: Bulk Angle Of Reposementioning

confidence: 99%

“…3) because it is easier to model with the discrete element method than the alternatives. In addition, alternatives such as injection and discharge methods were avoided because of the problems and questions that arise when they are used (Fraczek et al, 2007;Kalman et al, 1993). A box measuring 240 × 120 × 40 mm was drawn and filled with soybean particles in the simulation.…”

Section: Bulk Angle Of Repose Testmentioning

confidence: 99%

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Material and Interaction Properties of Selected Grains and Oilseeds for Modeling Discrete Particles

Boac

Casada²,

Maghirang

et al. 2010

Transactions of the ASABE

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Experimental investigations of grain flow can be expensive and time consuming, but computer simulations can reduce the large effort required to evaluate the flow of grain in handling operations. Published data on material and interaction properties of selected grains and oilseeds relevant to discrete element method (DEM) modeling were reviewed. Material properties include grain kernel shape, size, and distribution; Poisson's ratio; shear modulus; and density. Interaction properties consist of coefficients of restitution, static friction, and rolling friction. Soybeans were selected as the test material for DEM simulations to validate the model fundamentals using material and interaction properties. Single-and multi-sphere soybean particle shapes, comprised of one to four overlapping spheres, were compared based on DEM simulations of bulk properties (bulk density and bulk angle of repose) and computation time. A single-sphere particle model best simulated soybean kernels in the bulk property tests. The best particle model had a particle coefficient of restitution of 0.6, particle coefficient of static friction of 0.45 for soybean-soybean contact (0.30 for soybean-steel interaction), particle coefficient of rolling friction of 0.05, normal particle size distribution with standard deviation factor of 0.4, and particle shear modulus of 1.04 MPa.

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Section: Bulk Angle Of Reposementioning

confidence: 99%

Section: Bulk Angle Of Reposementioning

confidence: 99%

Section: Bulk Angle Of Repose Testmentioning

confidence: 99%

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Material and Interaction Properties of Selected Grains and Oilseeds for Modeling Discrete Particles

Boac

Casada²,

Maghirang

et al. 2010

Transactions of the ASABE

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“…A linear relation describes changes of mass fraction of not granulated bed during drum granulation in a broad range of changes in drum diameters, rotational speed and degree of drum filling [37]. The process of granular material translocation is inevitably accompanied by friction [38]. The results other authors showed that density, hardness and sphericity cassava pearl were not significantly different ( p > 0.05) when filling degree increased.…”

Section: Tests Resultsmentioning

confidence: 99%

Spectrophotometric analysis of disintegration mechanisms (abrasion and crushing) of agglomerates during the disc granulation of dolomite

Obraniak

Ławińska²

2017

Granular Matter

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The analysis of mechanisms which affect the formation of agglomerates and determine the granulation process in a broad sense encounters difficulties related to the many ways of the formation of granules. The aim of the study was to perform a qualitative and quantitative analysis of granulation mechanisms with special reference to agglomerates' disintegration in the disc granulation process. This paper contains an analysis of disintegration mechanisms (abrasion and crushing) of agglomerates during the disc granulation of dolomite. The analysis of the mechanisms taking place during the process concerns the granulation stage after wetting. During the research, each time after the wetting stage, the size fraction 10-12.5 mm was substituted with an analogous fraction wetted by means of an aqueous solution of a coloring agent and the process was continued. After the specified time of granulation, the obtained product was sieved through laboratory sieves and then the content of the provided coloring agent in different size fractions was analyzed by means of a spectrophotometer. Measuring the absorbance of the analyzed samples and granulometric composition of the bed, the level and cause of the migration of material of the tested fraction into other size classes were determined, and at the same time, the occurring granulation mechanisms were analyzed. The proposed model and measurement method consisting of determining the absorbance of the tested granulometric fraction enable the qualitative and quantitative analysis of granulation mechanisms are encountered during the carrying-out of the process after wetting the bed.

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“…Another method used for measuring dynamic angle of repose is the Brown and Richards (1959) method. Fraczek et al (2007) encountered problems in measuring angle of repose using injection and discharge methods. These methods are based on the assumption that the mounted granular slope acquires a cone shape, but results of experimental measurements often contradicted this assumption.…”

Section: Bulk Angle Of Reposementioning

confidence: 99%

Material and Interaction Properties of Selected Grains and Oilseeds for Modeling Discrete Particles

Boac¹,

Casada²,

Maghirang³

et al. 2009

2009 Reno, Nevada, June 21 - June 24, 2009

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ABSTRACT. Experimental investigations of grainhysical characteristics are important in analyzing the behavior of grains in handling operations (Mohsenin, 1986). Bulk handling behavior of the grains can be studied experimentally, but large-scale investigations of grain flow can be expensive and time consuming. On the other hand, computer simulations can reduce the large effort required to evaluate the flow of grain in handling operations.Recently, grain segregation and identity preservation operations have become important as grain handlers respond to an increased use of specialty grain (Berruto and Maier, 2001;Herrman et al., 2001Herrman et al., , 2002 , 2003, 2006) and with farm equipment (Greenlees and Shouse, 2000;Hirai et al., 2006;Hanna et al., 2006). Limited data on grain commingling during handling in grain elevators (Ingles et al., 2003(Ingles et al., , 2006 make it difficult to accurately predict levels of impurities that would propagate through grain handling systems. Thus, a validated mechanistic model for predicting grain commingling in various types of elevator equipment will be valuable for extending the knowledge of grain commingling beyond current experimental studies.Different modeling techniques such as continuum models and discrete element models (Wightman et al., 1998) have potential to simulate grain commingling in elevator equipment. The discrete element method (DEM) is considered one of the most promising techniques to simulate movement of individual particles (Wightman et al., 1998) such as grain kernals in bucket elevator equipment. DEM is an explicit numerical scheme in which particle interaction is monitored contact by contact and the motion of individual particles is modeled (LoCurto et al., 1997b). This explicit scheme requires small time steps, resulting in potential problems with developing realistic models that can run in a reasonable time on available computers. The model must use a critical time increment that achieves stability and simulates the true physics with a manageable number of calculations (O'Sullivan and Bray, 2004;Li et al., 2005).Relevant grain physical properties must be known to accurately simulate grain handling operations. The objectives of this study were (1) to review published physical properties of grains and oilseeds needed to model grain commingling in DEM, and (2) to develop and validate an appropriate particle model for one test seed, soybeans, based on these physical properties. Soybeans were chosen as the test seed due to their almost spherical shape for simplicity of modeling. Addition-P

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Assessment of angle of repose of granular plant material using computer image analysis

Cited by 70 publications

References 1 publication

Material and Interaction Properties of Selected Grains and Oilseeds for Modeling Discrete Particles

Material and Interaction Properties of Selected Grains and Oilseeds for Modeling Discrete Particles

Spectrophotometric analysis of disintegration mechanisms (abrasion and crushing) of agglomerates during the disc granulation of dolomite

Material and Interaction Properties of Selected Grains and Oilseeds for Modeling Discrete Particles

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