Comparison of two non-equilibrium models for static grain deep-bed drying by numerical simulations

Aregba, Aworou-Waste; Nadeau, Jean-Pierre

doi:10.1016/j.jfoodeng.2005.12.030

Cited by 33 publications

(20 citation statements)

References 16 publications

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“…Heat transfer coefficient was calculated by using the Lewis analogy and is given by: [10] h ¼ q a C p a h m ð19Þ…”

Section: Deep-bed Drying Modelmentioning

confidence: 99%

“…One possible reason for this trend may be the use of horizontal flow of air during the drying of thin layers, whereas vertical airflow is used during drying of wheat in deep beds. In thin-layer drying nearly half of the surface was exposed to the moving air, so the heating was slow in the beginning, whereas in the case of vertical flow in a 1.29 Specific heat of dry air (J=kg Á C) [10] 1005 Specific heat of the water vapor (J=kg Á C) [10] 1883 Specific heat of water (J=kg Á C) [10] 4187 Latent heat of evaporation from grain (J=kg) [10] 2.3 Â 10 6…”

Section: Deep-bed Drying Modelmentioning

confidence: 99%

“…Giner et al [9] developed a simulation model for static cross-flow deep-bed drying of wheat based on diffusion and used a kinetic equation to estimate viability loss; however, they did not validate the model by drying the grain and determining the moisture of dried grain. Aregba and Nadeau [10] compared two nonequilibrium deep-bed drying models for wheat by simulation. Ziegler and Richter [11] developed a deep-bed drying model for wheat using enthalpy-water content approach for grain and drying air.…”

Section: Introductionmentioning

confidence: 99%

“…[10] Nonequilibrium models are developed based on the assumption that there is no heat and mass equilibrium between drying air and grain and are represented by a set of partial differential equations. Equilibrium and logarithmic models are simplified forms of nonequilibrium models with certain assumptions at boundary conditions in order to reduce the complexity and computation time.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Experimental Study of Wheat Drying in Thin Layer and Mathematical Simulation of a Fixed-Bed Convective Dryer

et al. 2009

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Drying of wheat (Algerian cultivar: Hadba03) in thin layers was studied and mass flux phenomenon was used to characterize the thin-layer drying process. Thin-layer drying of wheat was determined for drying air temperature range of 40-60 C, relative humidity of drying air from 10 to 30%, air velocity of 0.7 m/s, and initial grain moisture from 26 to 31% (dry basis). Equilibrium moisture content of wheat was determined using desorption isotherms obtained from the thin-layer drying data. An equilibrium model for a stationary deep bed with drying air moving vertically upward was developed using mass and energy balance between grain and drying air in the bed and drying air characteristics obtained from thin-layer drying experiments. The developed model was validated by drying wheat in a laboratory dryer using different drying air temperatures and initial moisture contents.

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“…Heat transfer coefficient was calculated by using the Lewis analogy and is given by: [10] h ¼ q a C p a h m ð19Þ…”

Section: Deep-bed Drying Modelmentioning

confidence: 99%

Section: Deep-bed Drying Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Experimental Study of Wheat Drying in Thin Layer and Mathematical Simulation of a Fixed-Bed Convective Dryer

et al. 2009

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“…Thus, innovations in drying with actions related to energy efficient drying systems, air pollution control, and quality product preservation post-drying plays an important role [52][53][54]. Improvement in energy efficiency of the conventional drying equipment can include [2,4,5,37,55]: How related in previous sections, for choice of an appropriated drying energy system or comparing between different dryers depends on the drying energy consumption and equipment costs, drying time and mainly product quality involved in them.…”

Section: Heat Recovery and Advanced Drying Techniquesmentioning

confidence: 99%

Drying of Bioproducts: Quality and Energy Aspects

Lima

Silva

Pereira

et al. 2015

Advanced Structured Materials

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This chapter briefly focuses on the drying of wet bioproducts with particular reference to fruits, vegetables and grains. Different related topics in terms of drying foundations, dryer selection, product quality, energy savings, energy sources, energy efficiency, energy recovery, operating safety, environmental impact, and advanced drying techniques are presented and discussed. The study confirm drying as a highly energy-consuming process, one of the major source of pollutant emissions, and one dehydration technique that strongly affect product quality under different aspects such as color, flavor, appearance, aroma, losses of nutrients and vitamins, and many others physical, chemical, structural, and nutritional quality parameters.

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Pore Network Model and Simulation of Transport Process for Grain Drying

et al. 2011

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A nonequilibrium model was developed and simulated by adopting a dual-scale pore network approach. The distributions of temperature, moisture, and pressure in drying air, as well as the temperature and moisture content profiles in grain kernels were obtained from the pore scale model and the kernel scale model, respectively. A small test bin was built to conduct in-bin drying experiments and to validate the model. The results from the experiments and the simulations indicate that the dual-scale pore network approach could explain the drying process of the deep-bed grain drying process well. The influences of grain bulk porosity and cereal particle size distribution were also investigated by numerical simulations.

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Comparison of two non-equilibrium models for static grain deep-bed drying by numerical simulations

Cited by 33 publications

References 16 publications

An Experimental Study of Wheat Drying in Thin Layer and Mathematical Simulation of a Fixed-Bed Convective Dryer

An Experimental Study of Wheat Drying in Thin Layer and Mathematical Simulation of a Fixed-Bed Convective Dryer

Drying of Bioproducts: Quality and Energy Aspects

Pore Network Model and Simulation of Transport Process for Grain Drying

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