Discrete particle simulations predicting mixing behavior of solid substrate particles in a rotating drum fermenter

Schutyser, M.A.I.; Padding, JT Johan; Weber, F.J.; Briels, Willem J.; Rinzema, A.; Boom, R.M.

doi:10.1002/bit.1192

Cited by 62 publications

(42 citation statements)

References 31 publications

(25 reference statements)

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“…An increased rotation rate is thus favorable for better water distribution. This result is logical, because we know from previous research that the numbers of rotations needed for complete mixing of the particles are identical for different rotation rates (Schutyser et al, 2001). As stated earlier, at increased rotation rates, the more favorable distribution may not outweigh the larger shear forces.…”

Section: Influence Of Process Parameters On Water Distribution In Thementioning

confidence: 54%

“…For more information concerning the modeling approach we refer to previous work (Schutyser et al, 2001). The wheat grains are modeled as perfect spheres (diameter 4.9 mm).…”

Section: Mathematical Modelmentioning

confidence: 99%

“…A two-dimensional (2D) discrete particle model was used, originally developed to predict radial mixing in rotating drums (Schutyser et al, 2001). The model can provide accurate predictions of mixing by calculating the movements of an array of particles from forces acting on each individual particle.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…We believe that the development of mathematical models that give more fundamental insight in mixing, and the effect of mixing on the local gradients, can be of great support for the rational design of SSF with discontinuous mixing (Schutyser et al, 2001(Schutyser et al, , 2002. In previous research we developed a discrete particle model that could successfully predict the mixing of substrate particles in various rotating drums (Schutyser et al, 2002).…”

Section: Introductionmentioning

confidence: 98%

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Heat and water transfer in a rotating drum containing solid substrate particles

Schutyser

Weber

Briels

et al. 2003

Biotech & Bioengineering

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In previous work we reported on the simulation of mixing behavior of a slowly rotating drum for solid-state fermentation (SSF) using a discrete particle model. In this investigation the discrete particle model is extended with heat and moisture transfer. Heat transfer is implemented in the model via interparticle contacts and the interparticle heat transfer coefficient is determined experimentally. The model is shown to accurately predict heat transfer and resulting temperature gradients in a mixed wheat grain bed. In addition to heat transfer, the addition and subsequent distribution of water in the substrate bed is also studied. The water is added to the bed via spray nozzles to overcome desiccation of the bed during evaporative cooling. The development of moisture profiles in the bed during spraying and mixing are studied experimentally with a water-soluble fluorescent tracer. Two processes that affect the water distribution are considered in the model: the intraparticle absorption process, and the interparticle transfer of free water. It is found that optimum distribution can be achieved when the free water present at the surface of the grains is quickly distributed in the bed, for example, by fast mixing. Alternatively, a short spraying period, followed by a period of mixing without water addition, can be applied. The discrete particle model developed is used successfully to examine the influence of process operation on the moisture distribution (e.g., fill level and rotation rate). It is concluded that the extended discrete particle model can be used as a powerful predictive tool to derive operating strategies and criteria for design and scale-up for mixed SSF and other processes with granular media.

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Section: Influence Of Process Parameters On Water Distribution In Thementioning

confidence: 54%

“…For more information concerning the modeling approach we refer to previous work (Schutyser et al, 2001). The wheat grains are modeled as perfect spheres (diameter 4.9 mm).…”

Section: Mathematical Modelmentioning

confidence: 99%

Section: Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

Heat and water transfer in a rotating drum containing solid substrate particles

Schutyser

Weber

Briels

et al. 2003

Biotech & Bioengineering

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“…An in-house developed routine in Matlab (version 7.10.0 with image processing toolbox) was used to determine the amount of red and yellow pixels in each grid cell. To quantify the degree of mixing the mixing entropy was used (Schutyser et al 2001). The mixing entropy for a single grid cell was calculated using:…”

Section: Degree Of Mixingmentioning

confidence: 99%

Cross-flow deep fat frying and its effect on fry quality distribution and mobility

Koerten

Schutyser

Somsen³

et al. 2015

J Food Sci Technol

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Conventional industrial frying systems are not optimised towards homogeneous product quality, which is partly related to poor oil distribution across the packed bed of fries. In this study we investigate an alternative frying system with an oil cross-flow from bottom to top through a packed bed of fries. Fluidization of rectangular fries during frying was characterised with a modified Ergun equation. Mixing was visualized by using two coloured layers of fries and quantified in terms of mixing entropy. Smaller fries mixed quickly during frying, while longer fries exhibited much less mixing, which was attributed to the higher minimum fluidization velocity and slower dehydration for longer fries. The cross-flow velocity was found an important parameter for the homogeneity of the moisture content of fries. Increased oil velocities positively affected moisture distribution due to a higher oil refresh rate. However, inducing fluidization caused the moisture distribution to become unpredictable due to bed instabilities.

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Granular mixing and segregation in a horizontal rotating drum: A simulation study on the impact of rotational speed and fill level

et al. 2008

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in Wiley InterScience (www.interscience.wiley.com).The rich phase behavior of granular beds of bidisperse hard spherical particles in a rotating horizontal drum is studied by Discrete Element Method (DEM) simulations. Several flow regimes and various forms of radial segregation, as well as mixing, are observed by systematically varying the operational parameters of the drum, i.e. fill level and angular velocity, over a wide range. Steady states after several dozen revolutions are summarized in two bed behavior diagrams, showing strong correlations between flow regime and segregation pattern. An entropy method quantifies the overall degree of mixing, while density and velocity plots are used to analyze the local properties of the granular bed. The percolation mechanism may provide a qualitative explanation for the distinct segregation processes, and for the transient mixing in nonradially segregated beds. Initially blockwise segregated beds are found to mix before radial segregation sets in. High fill fractions ([65%) show the most intense segregation.

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Discrete particle simulations predicting mixing behavior of solid substrate particles in a rotating drum fermenter

Cited by 62 publications

References 31 publications

Heat and water transfer in a rotating drum containing solid substrate particles

Heat and water transfer in a rotating drum containing solid substrate particles

Cross-flow deep fat frying and its effect on fry quality distribution and mobility

Granular mixing and segregation in a horizontal rotating drum: A simulation study on the impact of rotational speed and fill level

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