Assessment of the initial moisture content on soybean drying kinetics and transport properties

Defendi, Rafael Oliveira; Nicolin, Douglas Júnior; Paraíso, Paulo Roberto; Jorge, Luíz Mário de Matos

doi:10.1080/07373937.2015.1055496

Cited by 25 publications

(69 citation statements)

References 27 publications

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“…The air imparts heat to the grain mass in a continuous, intermittent or stationary manner (Defendi, Nicolin, Paraíso, & Jorge, 2016;Hashemi, Mowla, & Kazemeini, 2009;Hemis, Choudhary, & Watson, 2012). Several studies have been conducted for developing new dryers and improving the existing ones to obtain a higher yield and maintain the quality of the agricultural products.…”

Section: Introductionmentioning

confidence: 99%

<b>Validation of an experimental prototype of thick-layer fixed bed dryer and determination of the quality of the dried soybean grains

Coradi

Lemes

2018

Acta Sci. Agron.

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ABSTRACT. The aim of this study was to validate an experimental prototype dryer with a thick-layer fixed bed and determine the quality of the dried soybean grains. The drying system was designed as a chamber with four independent drying cells, with a capacity of 164 kilograms, an air ventilation system and heating with electric heaters. This prototype was used for soybeans with an initial water content of 17% (w.b.). The samples were collected from the top, middle and bottom of the four cells to evaluate the quality of the grains. The experimental design was completely randomized factorial (3 x 4 x 3), with three temperatures settings for the drying air (30, 40, and 50°C), four drying cells and three evaluation positions (upper, middle and lower). The grains did not undergo quality changes as a function of the drying cells. In the upper part of the drying cells, there was a reduction in the specific grain mass (851 kg m -³), an increase in electrical conductivity (140.02 μS cm, reduction in germination (63%) and oil content (7%) compared with the middle and lower dryer positions. The experimental prototype of the fixed bed dryer allowed a uniform distribution of the heated air in the drying cells, which was effective in the drying operation and in maintaining the quality of the soybean grains.Keywords: control and optimization of the drying; loss reduction of grain quality in the drying; yield of the drying processes.

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Section: Introductionmentioning

confidence: 99%

<b>Validation of an experimental prototype of thick-layer fixed bed dryer and determination of the quality of the dried soybean grains

Coradi

Lemes

2018

Acta Sci. Agron.

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“…However, if process conditions are not controlled effectively, the drying can damage the material and energy consumption can reach unfeasible levels. In this regard, several authors (Benali, ; Defendi, Nicolin, Paraíso, & Jorge, ; Defendi, Paraíso, & Jorge, , ; Fregolente, Santos, & Jorge, ; Golmohammadi, Rajabi‐Hamane, & Hashemi, ; Itaya, Mori, & Hasatani, ; Meisami‐asl, Rafiee, Keyhani, & Tabatabaeefar, 2010; Shei & Chen, ; Vega‐Gálvez et al, ) have studied the drying process of agricultural products in order to determine the effects that control the process, adjust, and propose mathematical models of drying kinetics or optimize the process to minimize energy consumption or minimize the loss of material quality.…”

Section: Introductionmentioning

confidence: 99%

“…Most agricultural products do not undergo the drying stage at constant rates, so that the drying rate decreases from beginning to end in the process (Benali, ; Defendi, Nicolin, et al, ; Defendi, Paraíso, et al, , ; Meisami‐asl et al, ; Oliveira & Rocha, ; Vega‐Gálvez et al, ). Thus, internal diffusive effects of the material can affect the process more intensely and they will increasingly affect the process up to the equilibrium stage, when the net rate of drying is zero (Defendi, Nicolin, et al, ; Defendi, Paraíso, et al, , ). Due to this behavior, it is appropriate to work with intermittent drying, as observed in some studies (Golmohammadi et al, ; Itaya et al, ), since it is possible to lower energy consumption and better preserve the quality of material, compared with drying with air supply in steady state conditions, since the inner diffusive effect of the material is what controls the process.…”

Section: Introductionmentioning

confidence: 99%

“…Another variable that has a strong influence on the drying rates is the air temperature (Benali, ; Defendi, Nicolin, et al, ; Defendi, Paraíso, et al, , ; Meisami‐asl et al, ; Oliveira & Rocha, ). Some authors (Benali, ; Defendi, Paraíso, et al, ; Vega‐Gálvez et al, ) have observed that air velocity has less influence than air temperature, while others found that air velocity did not affect thin layer drying (Defendi, Nicolin, et al, ; Yaldýz & Ertekýn, ). For the same type of soybean, it was observed that air velocity affected thick layer but had no effect on drying rates on thin layer (Defendi, Nicolin, et al, ; Defendi, Paraíso, et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…Some authors (Benali, ; Defendi, Paraíso, et al, ; Vega‐Gálvez et al, ) have observed that air velocity has less influence than air temperature, while others found that air velocity did not affect thin layer drying (Defendi, Nicolin, et al, ; Yaldýz & Ertekýn, ). For the same type of soybean, it was observed that air velocity affected thick layer but had no effect on drying rates on thin layer (Defendi, Nicolin, et al, ; Defendi, Paraíso, et al, ). It was also observed that the drying rates can increase with increasing surface area of the product on contact with the drying air (Meisami‐asl et al, ).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mathematical modeling of soybean drying by a fractional‐order kinetic model

Nicolin

Defendi

Rossoni

et al. 2017

J Food Process Engineering

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In this article, a mathematical model based on the generalization of first‐order kinetic model, to model soybean drying kinetic, is proposed by taking into account that the humidity variation rate is given by a derivative of arbitrary order. The Bootstrap technique was used to study the minimum required number of terms of the analytic solution to fit the parameters with stable variability. Results were highly successful for the estimated moisture curves. These results were compared with the first‐order kinetic model and with the classic Page model. Series solution minimum number of terms varied both with respect to the model parameters and temperature. Practical applications The modeling procedure presented in this article presents the use of fractional calculus as a potential tool to generalize mathematical models based on differential equations. The proposed model proved to be statistically better than its version which was based on conventional calculus. Thus, the model proposed is suitable for modeling kinetic processes in general and can be used to project drying equipment. Due to the fact that drying of food could present nonexponential behavior, the fractional model proposed would be an adequate option to capture the characteristics of the kinetic curve which the conventional calculus cannot. In addition, this article presents a statistical approach to evaluate the correct number of terms to be used in an equation based on an infinite series in order to result the least variability possible. Such approach provides more reliable results when the model is applied to experimental data.

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Mathematical modelling of wheat drying by fractional order and assessment of transport properties

Aranha,

Ferrari,

Bissaro

et al. 2023

Can J Chem Eng

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The purpose of this study is to evaluate both the temperature and the initial moisture content of the material in mathematical models of drying. For this, empirical lumped parameter models were fitted based on experimental data of moisture over time. Furthermore, a new semi‐empirical drying kinetics model was applied. This model was developed using the generalization of arbitrary order of the Lewis equation obtained through the Laplace transform. After performing the fit, the fractional order model for drying wheat seeds as a temperature function was generalized. Distributed parameter models were also fitted to evaluate the influence of initial moisture content on drying kinetics and to estimate the moisture profile along the position inside the seed. It was verified that the fractional order model presented statistical results similar to models with a higher number of constants, being used to generalize the kinetic drying model for the three wheat cultivars. Generalized models showed better fits for the 3 cultivars with first‐degree function, and the maximum global deviation was 10%, 15%, and 20% for the cultivars BRS–Atobá, BRS–Jacana, and BRS–Sanhaço, respectively. In addition, the distribution of moisture content inside the seed was verified by the distributed parameter model, which predicted the experimental data with an overall deviation of around 10%.

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Assessment of the initial moisture content on soybean drying kinetics and transport properties

Cited by 25 publications

References 27 publications

<b>Validation of an experimental prototype of thick-layer fixed bed dryer and determination of the quality of the dried soybean grains

<b>Validation of an experimental prototype of thick-layer fixed bed dryer and determination of the quality of the dried soybean grains

Mathematical modeling of soybean drying by a fractional‐order kinetic model

Mathematical modelling of wheat drying by fractional order and assessment of transport properties

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