Modelling variability in initial parameters for the simulation of rough rice drying using the covariance decomposition algorithm

Tanaka Fumihiko, Kazuo Morita, Hiroyuki Sekiya, Naoya Izumi, Toshitaka Uchino, Daisuke Hamanaka, Griffiths Gregory Atungulu

研究成果: ジャーナルへの寄稿記事

1 引用 (Scopus)

抄録

The drying of rough rice kernels was studied using Monte Carlo modelling of batch behaviour at a constant low air temperature and relative humidity. In order to determine the effects of air temperature and initial moisture content on the drying constant and equilibrium moisture content, the tests were performed in a laboratory-scale drying system at various temperatures (15, 20, 25 and 30 °C) at a constant air velocity of 0.5 m s-1 and a relative humidity of 35±2%. The drying model to describe the batch behaviour was developed by coupling drying kinetics with a Monte Carlo method based on a covariance decomposition algorithm. It was concluded that the proposed drying model could successfully describe the batch drying of rough rice under the range of conditions studied.

元の言語英語
ページ(範囲)53-57
ページ数5
ジャーナルBiosystems Engineering
100
発行部数1
DOI
出版物ステータス出版済み - 5 1 2008

Fingerprint

rough rice
Drying
rice
drying
Air
decomposition
Humidity
Decomposition
Temperature
degradation
modeling
simulation
Monte Carlo Method
relative humidity
Atmospheric humidity
moisture content
air temperature
Moisture
water content
Monte Carlo method

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Food Science
  • Animal Science and Zoology
  • Agronomy and Crop Science
  • Soil Science

これを引用

Modelling variability in initial parameters for the simulation of rough rice drying using the covariance decomposition algorithm. / Fumihiko, Tanaka; Morita, Kazuo; Sekiya, Hiroyuki; Izumi, Naoya; Uchino, Toshitaka; Hamanaka, Daisuke; Atungulu, Griffiths Gregory.

:: Biosystems Engineering, 巻 100, 番号 1, 01.05.2008, p. 53-57.

研究成果: ジャーナルへの寄稿記事

Fumihiko, Tanaka ; Morita, Kazuo ; Sekiya, Hiroyuki ; Izumi, Naoya ; Uchino, Toshitaka ; Hamanaka, Daisuke ; Atungulu, Griffiths Gregory. / Modelling variability in initial parameters for the simulation of rough rice drying using the covariance decomposition algorithm. :: Biosystems Engineering. 2008 ; 巻 100, 番号 1. pp. 53-57.
@article{d68f0ac0958c48ba9d39b7ad77bfc725,
title = "Modelling variability in initial parameters for the simulation of rough rice drying using the covariance decomposition algorithm",
abstract = "The drying of rough rice kernels was studied using Monte Carlo modelling of batch behaviour at a constant low air temperature and relative humidity. In order to determine the effects of air temperature and initial moisture content on the drying constant and equilibrium moisture content, the tests were performed in a laboratory-scale drying system at various temperatures (15, 20, 25 and 30 °C) at a constant air velocity of 0.5 m s-1 and a relative humidity of 35±2{\%}. The drying model to describe the batch behaviour was developed by coupling drying kinetics with a Monte Carlo method based on a covariance decomposition algorithm. It was concluded that the proposed drying model could successfully describe the batch drying of rough rice under the range of conditions studied.",
author = "Tanaka Fumihiko and Kazuo Morita and Hiroyuki Sekiya and Naoya Izumi and Toshitaka Uchino and Daisuke Hamanaka and Atungulu, {Griffiths Gregory}",
year = "2008",
month = "5",
day = "1",
doi = "10.1016/j.biosystemseng.2008.01.009",
language = "English",
volume = "100",
pages = "53--57",
journal = "Biosystems Engineering",
issn = "1537-5110",
publisher = "Academic Press Inc.",
number = "1",

}

TY - JOUR

T1 - Modelling variability in initial parameters for the simulation of rough rice drying using the covariance decomposition algorithm

AU - Fumihiko, Tanaka

AU - Morita, Kazuo

AU - Sekiya, Hiroyuki

AU - Izumi, Naoya

AU - Uchino, Toshitaka

AU - Hamanaka, Daisuke

AU - Atungulu, Griffiths Gregory

PY - 2008/5/1

Y1 - 2008/5/1

N2 - The drying of rough rice kernels was studied using Monte Carlo modelling of batch behaviour at a constant low air temperature and relative humidity. In order to determine the effects of air temperature and initial moisture content on the drying constant and equilibrium moisture content, the tests were performed in a laboratory-scale drying system at various temperatures (15, 20, 25 and 30 °C) at a constant air velocity of 0.5 m s-1 and a relative humidity of 35±2%. The drying model to describe the batch behaviour was developed by coupling drying kinetics with a Monte Carlo method based on a covariance decomposition algorithm. It was concluded that the proposed drying model could successfully describe the batch drying of rough rice under the range of conditions studied.

AB - The drying of rough rice kernels was studied using Monte Carlo modelling of batch behaviour at a constant low air temperature and relative humidity. In order to determine the effects of air temperature and initial moisture content on the drying constant and equilibrium moisture content, the tests were performed in a laboratory-scale drying system at various temperatures (15, 20, 25 and 30 °C) at a constant air velocity of 0.5 m s-1 and a relative humidity of 35±2%. The drying model to describe the batch behaviour was developed by coupling drying kinetics with a Monte Carlo method based on a covariance decomposition algorithm. It was concluded that the proposed drying model could successfully describe the batch drying of rough rice under the range of conditions studied.

UR - http://www.scopus.com/inward/record.url?scp=41749083019&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=41749083019&partnerID=8YFLogxK

U2 - 10.1016/j.biosystemseng.2008.01.009

DO - 10.1016/j.biosystemseng.2008.01.009

M3 - Article

AN - SCOPUS:41749083019

VL - 100

SP - 53

EP - 57

JO - Biosystems Engineering

JF - Biosystems Engineering

SN - 1537-5110

IS - 1

ER -