Recursive identification of time-variant model parameters from drying curves

R.J.C. van Ooteghem; E.Y.A. Amankwah; A.J.B. van Boxtel

Recursive identification of time-variant model parameters from drying curves

R.J.C. van Ooteghem, E.Y.A. Amankwah, A.J.B. van Boxtel

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

Abstract

This work applies the Extended Kalman Filter for recursive identification of time-variant drying rate constant and derives the behavior of the effective diffusion coefficient during drying of yam (Dioscoreaceae rotundata). The identification concerns drying at different temperatures and shrinkage behavior is taken into account. The results show for the initial phase a decreasing drying rate constant, which remains almost constant during the rest of drying. The effective diffusion coefficient is related to the product moisture content at higher moisture contents and constant for lower moisture contents. Recursive identification proved to be a very effective algorithm to reveal time-dependent behavior of drying parameters and is essential to explain underlying mechanisms in drying kinetics.

Original language	English
Title of host publication	Proceedings IDS2016, 20th International Drying Symposium, August 7-10 2016, Gifu, Japan
Number of pages	6
Publication status	Published - 2016
Event	20th International Drying Symposium - Nagarawa Convention Centre, Gifu, Japan Duration: 7 Aug 2016 → 10 Aug 2016 Conference number: 20 http://ids2016.org/

Conference

Conference	20th International Drying Symposium
Abbreviated title	IDS
Country/Territory	Japan
City	Gifu
Period	7/08/16 → 10/08/16
Internet address	http://ids2016.org/

Keywords

Drying rate constant, effective diffusion coefficient, drying curves, recursive identification, Extended Kalman Filter

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https://edepot.wur.nl/411384

Cite this

@inproceedings{bd53a82fa46f4d8087456a6ea2d7849f,

title = "Recursive identification of time-variant model parameters from drying curves",

abstract = "This work applies the Extended Kalman Filter for recursive identification of time-variant drying rate constant and derives the behavior of the effective diffusion coefficient during drying of yam (Dioscoreaceae rotundata). The identification concerns drying at different temperatures and shrinkage behavior is taken into account. The results show for the initial phase a decreasing drying rate constant, which remains almost constant during the rest of drying. The effective diffusion coefficient is related to the product moisture content at higher moisture contents and constant for lower moisture contents. Recursive identification proved to be a very effective algorithm to reveal time-dependent behavior of drying parameters and is essential to explain underlying mechanisms in drying kinetics.",

keywords = "Drying rate constant, effective diffusion coefficient, drying curves, recursive identification, Extended Kalman Filter",

author = "{van Ooteghem}, R.J.C. and E.Y.A. Amankwah and {van Boxtel}, A.J.B.",

year = "2016",

language = "English",

booktitle = "Proceedings IDS2016, 20th International Drying Symposium, August 7-10 2016, Gifu, Japan",

note = "20th International Drying Symposium, IDS ; Conference date: 07-08-2016 Through 10-08-2016",

url = "http://ids2016.org/ ",

}

TY - GEN

T1 - Recursive identification of time-variant model parameters from drying curves

AU - van Ooteghem, R.J.C.

AU - Amankwah, E.Y.A.

AU - van Boxtel, A.J.B.

N1 - Conference code: 20

PY - 2016

Y1 - 2016

N2 - This work applies the Extended Kalman Filter for recursive identification of time-variant drying rate constant and derives the behavior of the effective diffusion coefficient during drying of yam (Dioscoreaceae rotundata). The identification concerns drying at different temperatures and shrinkage behavior is taken into account. The results show for the initial phase a decreasing drying rate constant, which remains almost constant during the rest of drying. The effective diffusion coefficient is related to the product moisture content at higher moisture contents and constant for lower moisture contents. Recursive identification proved to be a very effective algorithm to reveal time-dependent behavior of drying parameters and is essential to explain underlying mechanisms in drying kinetics.

AB - This work applies the Extended Kalman Filter for recursive identification of time-variant drying rate constant and derives the behavior of the effective diffusion coefficient during drying of yam (Dioscoreaceae rotundata). The identification concerns drying at different temperatures and shrinkage behavior is taken into account. The results show for the initial phase a decreasing drying rate constant, which remains almost constant during the rest of drying. The effective diffusion coefficient is related to the product moisture content at higher moisture contents and constant for lower moisture contents. Recursive identification proved to be a very effective algorithm to reveal time-dependent behavior of drying parameters and is essential to explain underlying mechanisms in drying kinetics.

KW - Drying rate constant, effective diffusion coefficient, drying curves, recursive identification, Extended Kalman Filter

M3 - Conference paper

BT - Proceedings IDS2016, 20th International Drying Symposium, August 7-10 2016, Gifu, Japan

T2 - 20th International Drying Symposium

Y2 - 7 August 2016 through 10 August 2016

ER -

Recursive identification of time-variant model parameters from drying curves

Abstract

Conference

Keywords

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