A drying model for hygroscopic porous material

Kari Hillebrand (Corresponding Author), Markku Kallio, Pertti Frilander

Research output: Contribution to journalArticleScientificpeer-review

Abstract

A drying model was developed to simulate the drying of hygroscopic porous material in a soil-residue-atmosphere system. An experimental plan for controlling the five climate condition variables and four material variables in 35 different experiments was set up. The results obtained were analyzed by multivariate modelling software. The calculations were made with partial least squares regression. Besides the initial moisture content and the residue loading rate, other variables in the drying model are: solar radiation, air temperature, relative humidity, average wind speed, average particle size of the residue, and the number of times the residue is turned. The predicted drying times calculated from the model are in good agreement with the experimental results.

Original languageEnglish
Pages (from-to)419-422
Number of pages4
JournalChemometrics and Intelligent Laboratory Systems
Volume14
Issue number1-3
DOIs
Publication statusPublished - 1992
MoE publication typeA1 Journal article-refereed

Fingerprint

Porous materials
Drying
Solar radiation
Atmospheric humidity
Moisture
Particle size
Soils
Air
Experiments
Temperature

Cite this

Hillebrand, Kari ; Kallio, Markku ; Frilander, Pertti. / A drying model for hygroscopic porous material. In: Chemometrics and Intelligent Laboratory Systems. 1992 ; Vol. 14, No. 1-3. pp. 419-422.
@article{0fbaef3038b0499cb9581af507fde470,
title = "A drying model for hygroscopic porous material",
abstract = "A drying model was developed to simulate the drying of hygroscopic porous material in a soil-residue-atmosphere system. An experimental plan for controlling the five climate condition variables and four material variables in 35 different experiments was set up. The results obtained were analyzed by multivariate modelling software. The calculations were made with partial least squares regression. Besides the initial moisture content and the residue loading rate, other variables in the drying model are: solar radiation, air temperature, relative humidity, average wind speed, average particle size of the residue, and the number of times the residue is turned. The predicted drying times calculated from the model are in good agreement with the experimental results.",
author = "Kari Hillebrand and Markku Kallio and Pertti Frilander",
note = "Project code: plt1009",
year = "1992",
doi = "10.1016/0169-7439(92)80123-L",
language = "English",
volume = "14",
pages = "419--422",
journal = "Chemometrics and Intelligent Laboratory Systems",
issn = "0169-7439",
publisher = "Elsevier",
number = "1-3",

}

A drying model for hygroscopic porous material. / Hillebrand, Kari (Corresponding Author); Kallio, Markku; Frilander, Pertti.

In: Chemometrics and Intelligent Laboratory Systems, Vol. 14, No. 1-3, 1992, p. 419-422.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - A drying model for hygroscopic porous material

AU - Hillebrand, Kari

AU - Kallio, Markku

AU - Frilander, Pertti

N1 - Project code: plt1009

PY - 1992

Y1 - 1992

N2 - A drying model was developed to simulate the drying of hygroscopic porous material in a soil-residue-atmosphere system. An experimental plan for controlling the five climate condition variables and four material variables in 35 different experiments was set up. The results obtained were analyzed by multivariate modelling software. The calculations were made with partial least squares regression. Besides the initial moisture content and the residue loading rate, other variables in the drying model are: solar radiation, air temperature, relative humidity, average wind speed, average particle size of the residue, and the number of times the residue is turned. The predicted drying times calculated from the model are in good agreement with the experimental results.

AB - A drying model was developed to simulate the drying of hygroscopic porous material in a soil-residue-atmosphere system. An experimental plan for controlling the five climate condition variables and four material variables in 35 different experiments was set up. The results obtained were analyzed by multivariate modelling software. The calculations were made with partial least squares regression. Besides the initial moisture content and the residue loading rate, other variables in the drying model are: solar radiation, air temperature, relative humidity, average wind speed, average particle size of the residue, and the number of times the residue is turned. The predicted drying times calculated from the model are in good agreement with the experimental results.

U2 - 10.1016/0169-7439(92)80123-L

DO - 10.1016/0169-7439(92)80123-L

M3 - Article

VL - 14

SP - 419

EP - 422

JO - Chemometrics and Intelligent Laboratory Systems

JF - Chemometrics and Intelligent Laboratory Systems

SN - 0169-7439

IS - 1-3

ER -