REAL-TIME MODELLING OF WOOD DRYING SYSTEMS - Learning from Experiment and Theory

Stanislaw Tarasiewicz, Belkacem Kada

2005

Abstract

Predictive control in a wood drying systems is still at an early stage, because of the difficulties with the estimating a temporal moisture distribution for the whole dried lumber. Therefore, based on the dry and wet-bulb temperatures as the state variables the temporal moisture distribution in kiln-dried lumber is determined from numerical solutions of mathematical model for the wood drying systems. This computer model is represented by a set of several partial nonlinear differential equations coupled with the operating functions and a set of several calculating algorithms. The accuracy of the model solutions in a real-time calculation is evaluated by the on-line identification of the operating functions that represent both the system parameters (heat transfer coefficients, thermal conductivity, heat capacity etc) and selected state variables (air temperature, humidity, velocity etc).

References

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Paper Citation


in Harvard Style

Tarasiewicz S. and Kada B. (2005). REAL-TIME MODELLING OF WOOD DRYING SYSTEMS - Learning from Experiment and Theory . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-31-7, pages 132-136. DOI: 10.5220/0001159601320136


in Bibtex Style

@conference{icinco05,
author={Stanislaw Tarasiewicz and Belkacem Kada},
title={REAL-TIME MODELLING OF WOOD DRYING SYSTEMS - Learning from Experiment and Theory},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2005},
pages={132-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001159601320136},
isbn={972-8865-31-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - REAL-TIME MODELLING OF WOOD DRYING SYSTEMS - Learning from Experiment and Theory
SN - 972-8865-31-7
AU - Tarasiewicz S.
AU - Kada B.
PY - 2005
SP - 132
EP - 136
DO - 10.5220/0001159601320136