抄録
Pneumatic conveying drying (PCD) has been widely used in industrial production because it is regarded as highly efficient for heating and mass product operation. Drying rate and the time required to dry depend on the drying conditions and thermal properties of the food material. A model was developed to predict heat and mass transfer between rice powder particles defined as spherical in shape and moist air in a PC dryer. The system of coupled non-linear differential equations was solved numerically by means of the Runge-Kutta-Gill method. For validation of the model, data was collected using a trial up-stream pneumatic dryer. The model was successfully validated for its prediction of the moisture content and the temperature of rice powder. Monte Carlo simulations were also carried out to investigate the influence of initial moisture content and particle size distributions on the propagation of the frequency of moisture distribution of the product in a PC dryer.
| 元の言語 | 英語 |
|---|---|
| ページ（範囲） | 492-498 |
| ページ数 | 7 |
| ジャーナル | Journal of Food Engineering |
| 巻 | 88 |
| 発行部数 | 4 |
| DOI | |
| 出版物ステータス | 出版済み - 10 1 2008 |
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All Science Journal Classification (ASJC) codes
- Food Science
これを引用
Mathematical modeling of pneumatic drying of rice powder. / Fumihiko, Tanaka; Uchino, Toshitaka; Hamanaka, Daisuke; Atungulu, Griffiths Gregory.
：: Journal of Food Engineering, 巻 88, 番号 4, 01.10.2008, p. 492-498.研究成果: ジャーナルへの寄稿 › 記事
}
TY - JOUR
T1 - Mathematical modeling of pneumatic drying of rice powder
AU - Fumihiko, Tanaka
AU - Uchino, Toshitaka
AU - Hamanaka, Daisuke
AU - Atungulu, Griffiths Gregory
PY - 2008/10/1
Y1 - 2008/10/1
N2 - Pneumatic conveying drying (PCD) has been widely used in industrial production because it is regarded as highly efficient for heating and mass product operation. Drying rate and the time required to dry depend on the drying conditions and thermal properties of the food material. A model was developed to predict heat and mass transfer between rice powder particles defined as spherical in shape and moist air in a PC dryer. The system of coupled non-linear differential equations was solved numerically by means of the Runge-Kutta-Gill method. For validation of the model, data was collected using a trial up-stream pneumatic dryer. The model was successfully validated for its prediction of the moisture content and the temperature of rice powder. Monte Carlo simulations were also carried out to investigate the influence of initial moisture content and particle size distributions on the propagation of the frequency of moisture distribution of the product in a PC dryer.
AB - Pneumatic conveying drying (PCD) has been widely used in industrial production because it is regarded as highly efficient for heating and mass product operation. Drying rate and the time required to dry depend on the drying conditions and thermal properties of the food material. A model was developed to predict heat and mass transfer between rice powder particles defined as spherical in shape and moist air in a PC dryer. The system of coupled non-linear differential equations was solved numerically by means of the Runge-Kutta-Gill method. For validation of the model, data was collected using a trial up-stream pneumatic dryer. The model was successfully validated for its prediction of the moisture content and the temperature of rice powder. Monte Carlo simulations were also carried out to investigate the influence of initial moisture content and particle size distributions on the propagation of the frequency of moisture distribution of the product in a PC dryer.
UR - http://www.scopus.com/inward/record.url?scp=43549093728&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=43549093728&partnerID=8YFLogxK
U2 - 10.1016/j.jfoodeng.2008.03.014
DO - 10.1016/j.jfoodeng.2008.03.014
M3 - Article
AN - SCOPUS:43549093728
VL - 88
SP - 492
EP - 498
JO - Journal of Food Engineering
JF - Journal of Food Engineering
SN - 0260-8774
IS - 4
ER -