International journal of agricultural and biological engineering · 2021 · 14 citations · 20 references
EngineeringAgricultural EngineeringFood ScienceComputational Heat TransferFood EngineeringVentilationFood DryingHeat Transfer In FoodsVentilation ModelingVentilation RequirementsVentilation System DesignVentilation SystemsDesign ExperimentationDryingDrying Process ControlEnergy ConsumptionHeat Transfer In DryingMathematical Modeling Of DryingMoisture ContentMoisture Content Effects
To obtain the optimal operation parameters of fixed-bed reversing ventilation drying of peanuts, a set of partial differential equations indicating the heat and mass transfer relationships between the peanut pods and air during drying was proposed. Then, a series of discretized models were established for simulation, and the time consumed, unevenness, and energy consumption for batch drying were calculated. The results showed that reversing ventilation and segmented drying was helpful to these issues for high drying ability. The optimal operation parameters were determined by uniform design experimentation of mathematical simulation. The result showed that when the moisture content (wet basis) was above 22%, a ventilation velocity of 0.46 m/s was optimal; when the moisture content was between 8% and 22%, a ventilation velocity of 0.20 m/s was optimal. Using the optimal parameters, the computer simulating result was compared with the experimental results. The correlation coefficients between the simulating and the experimental values for the temperature and moisture content were all above 0.98 and the quality of dried peanuts was close to that of natural sun-dried ones, which indicates that the optimization results of the drying parameters are highly reliable. Keywords: peanut, fix bed drying, reversing ventilation, simulation, optimization DOI: 10.25165/j.ijabe.20211405.6354 Citation: Yan J C, Xie H X, Wei H, Wu H C, You Z Y. Optimizing the drying parameters of a fixed bed with reversing ventilation for peanut using computer simulation. Int J Agric & Biol Eng, 2021; 14(5): 255–266.
20
Postharvest Biology and Technology
Elsevier Sdol · 2009 · 1K citations
Agriculture, Biochemistry, Biology +12
The American Society of Agricultural Engineers
Science · 1932 · 331 citations
Agriculture, Agricultural Engineering, Biosystems Engineering +7
Distribution of fungi and aflatoxins in a stored peanut variety
Viviane Kobuchi Nakai, Liliana de Oliveira Rocha, Edlayne Gonçalez et al. · Food Chemistry · 2007 · 161 citations