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| Absalan, Ghafour; Kianmehr, Mohammad Hossein; Arabhosseini, Akbar. |
| Compost compression processes, such as pelleting, increase bulk density, improve storability, reduce transportation costs and make easier materials handling using existing equipment for handling and storage of grains. It is important to prevent quality deterioration of pellets in long time storage. Therefore, it is necessary to reduce the moisture content of the pellets to less than or less. In this research the drying kinetics of compost pellets were studied at air temperatures of 50, 60 and 70 , air velocities of 0.5, 1 and 1.5 , particle sizes of 1.18 and 2 mm and pellet diameters of 6 and 8 mm. The maximum effective moisture diffusivity (1.78× ) was obtained at air velocity of , air temperature of 70 , particle size of 1.18 mm and pellet diameter of 8... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Drying kinetics; Effective moisture diffusivity; Mathematical modeling; Pellet. |
| Ano: 2016 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3656 |
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| Zare, Dariush. |
| The drying characteristics of green peas during combined hot air-infrared drying were examined. The experiments were carried out for combination of four infrared power intensities (0, 0.2, 0.4 and 0.6 W.cm-2) and three levels of drying air flow rate (0.5, 1 and 1.5 m.s-1) and three levels of drying air temperatures (30, 40 and 50° C). Among several models which were fitted to the experimental data, the Three Term model was introduced to be the most appropriate model to predict moisture ratio as a function of air flow rate, drying air temperature and infrared power density. The statistics indexes of 99.7%, 0.000121, 0.0000 and 0.000121 for R2, X2, MBE and RMSE were obtained for the Three Term model, respectively. Application of infrared radiation in... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Hot air-infrared drying; Effective moisture diffusivity; Thin layer drying; Green peas; Iran. |
| Ano: 2015 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3155 |
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| Amiri Chayjan, Reza; Kaveh, Mohammad; Khayati, Sasan. |
| The effect of air temperature, air velocity and infrared (IR) radiation on the drying kinetics of sour cherry was investigated using a laboratory infrared dryer. Experiments were conducted at air temperatures of 35, 50 and 65°C, air velocities of 0.5, 1.1 and 1.7 m/s and IR radiations of 500, 1,000 and 1,500 W. Five empirical drying models for describing time dependence of the moisture ratio change were fitted to experimental data. Artificial neural network (ANN) method was used to predict the effective moisture diffusivity and specific energy consumption of the samples. Among the applied models, Midilli et al. model was the best to predict the thin layer drying behavior of sour cherry. Effective moisture diffusivity of sour cherry varied between... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Sour cherry; Drying; Effective moisture diffusivity; Activation energy; Artificial neural network. |
| Ano: 2014 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2552 |
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| ISIK,Ayla; OZDEMIR,Murat; DOYMAZ,Ibrahim. |
| Abstract The aim of this study was to investigate the effect of hot air drying on quality characteristics, physicochemical properties, morphological structure and organoleptic characteristics of bee pollen, and compute the effective moisture diffusivity and activation energy during hot air drying of bee pollen. Bee pollen samples were dried at 40, 45, 50, 55 and 60 °C. Effective moisture diffusivity (Deff) values ranged from 1.38 × 10 −10 to 4.00 × 10−10 m2/s, and the activation energy (Ea) was found to be 42.96 kJ/mol. Protein, fat, total carbohydrates and vitamin C of bee pollen were affected by the drying temperature. Dried bee pollen samples had high solubility index, and had lower L* and b* values as compared with those of the fresh bee pollen. Total... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bee pollen; Hot air drying; Effective moisture diffusivity; Activation energy; Quality. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612019000100224 |
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