2016
DOI: 10.1590/1807-1929/agriambi.v20n4p385-392
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Adjustment of mathematical models and quality of soybean grains in the drying with high temperatures

Abstract: A B S T R A C TThe aim of this study was to evaluate the influence of the initial moisture content of soybeans and the drying air temperatures on drying kinetics and grain quality, and find the best mathematical model that fit the experimental data of drying, effective diffusivity and isosteric heat of desorption. The experimental design was completely randomized (CRD), with a factorial scheme (4 x 2), four drying temperatures (75, 90, 105 and 120 ); however, not affect the final yield of the oil extracted fro… Show more

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Cited by 29 publications
(21 citation statements)
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“…For the models Peleg ( Figure 2E) and Wang & Singh ( Figure 2F), the statistical indicators used in the selection of the best model to represent the phenomenon were considered as good; however, based on the graphic representation of the fit to the data, they do not exhibit a physical behavior coherent with the study and even crossed the area of negative moisture ratio before reaching the equilibrium point of the dehydration process, indicating that these models can not be used to simulate the drying process of 'Miúda' prickly pear shoots within the studied range of temperatures. Such behavior is different from that found by Coradi et al (2016) for the Wang & Singh model, which was more adequate to describe the drying of soybean grains. However, one must consider the product to be dried, as well as its geometry, which influences not only the model, but also the drying speed.…”
Section: Resultscontrasting
confidence: 97%
“…For the models Peleg ( Figure 2E) and Wang & Singh ( Figure 2F), the statistical indicators used in the selection of the best model to represent the phenomenon were considered as good; however, based on the graphic representation of the fit to the data, they do not exhibit a physical behavior coherent with the study and even crossed the area of negative moisture ratio before reaching the equilibrium point of the dehydration process, indicating that these models can not be used to simulate the drying process of 'Miúda' prickly pear shoots within the studied range of temperatures. Such behavior is different from that found by Coradi et al (2016) for the Wang & Singh model, which was more adequate to describe the drying of soybean grains. However, one must consider the product to be dried, as well as its geometry, which influences not only the model, but also the drying speed.…”
Section: Resultscontrasting
confidence: 97%
“…The kinetics of soybean seed drying has been given in [8]. The obtained Wang and Singh mathematical model confirms the dependence of the soybean heating temperature on changes in moisture during drying.…”
Section: Literature Review and Problem Statementsupporting
confidence: 52%
“…As the drying air temperature increased, the rate of water removal from the grains also decreased, indicating a greater resistance to heat transfer and mass from the interior of the product to its surface. These results suggest that diffusion is the main mechanism that determines the movement of water (Coradi, Fernandes, & Helmich, 2016b;Jangam et al, 2010;Rafiee et al, 2009;Siqueira, Resende, & Chaves, 2012).The results of the specific mass analysis are shown in Tables 6 and 7. The temperature of the drying air changes the specific mass of the grains.…”
Section: Methodsmentioning
confidence: 93%