Viscosity Model Uncertainties in an Ash Stabilization Batch Mixing Process
(2000) IEEE Instrumentation and Measurement Technology Conference IMTC/2000 2. p.909-914- Abstract
- Recycling wood ash from burnt wood (back to the forest grounds) is of great ecological importance. However, the ash cannot be recycled directly after combustion. There are several reasons for this, one being the volatility of wood ashes. Mixing ash/dolomite/water in order to obtain granular material is one method to stabilize wood ashes. The main problem is predicting the quantity of water to be added, since the necessary amount varies with the wood ash quality. One possible solution is to measure the mixture viscosity and study whether this parameter can be used to control the amount of added water. In this paper, the viscosity is estimated in the batch mixing process by measuring the normalized effective power Pe(t), that represents the... (More)
- Recycling wood ash from burnt wood (back to the forest grounds) is of great ecological importance. However, the ash cannot be recycled directly after combustion. There are several reasons for this, one being the volatility of wood ashes. Mixing ash/dolomite/water in order to obtain granular material is one method to stabilize wood ashes. The main problem is predicting the quantity of water to be added, since the necessary amount varies with the wood ash quality. One possible solution is to measure the mixture viscosity and study whether this parameter can be used to control the amount of added water. In this paper, the viscosity is estimated in the batch mixing process by measuring the normalized effective power Pe(t), that represents the rate of useful work being performed by the three-phase asynchronous machine used for the stirrer drive. The coherence function is used in order to detect any nonlinear relationship between the input-output data-the variable water flow and the normalized effective power Pe(t). It is shown that measuring Pe(t) is extraordinary well suited for future control of the amount of added water. First and second stage experiments are carried through in order to obtain a model of the viscosity dynamics (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4358649
- author
- Svantesson, T. ; Lauber, A. and Olsson, Gustaf LU
- organization
- publishing date
- 2000
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- autoregressive processes batch processing (industrial) bioenergy conversion covariance matrices matrix decomposition mixing modelling process control recursive estimation recycling uncertain systems viscosity wood processing
- host publication
- Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
- volume
- 2
- pages
- 909 - 914
- conference name
- IEEE Instrumentation and Measurement Technology Conference IMTC/2000
- conference location
- Baltimore, Maryland, United States
- conference dates
- 2000-05-01
- external identifiers
-
- scopus:0033717064
- ISBN
- 0-7803-5890-2
- DOI
- 10.1109/IMTC.2000.848863
- language
- English
- LU publication?
- yes
- id
- 2ca639bd-a964-4a81-8677-f293ed6f91fe (old id 4358649)
- date added to LUP
- 2016-04-04 13:54:35
- date last changed
- 2022-04-16 06:55:00
@inproceedings{2ca639bd-a964-4a81-8677-f293ed6f91fe,
abstract = {{Recycling wood ash from burnt wood (back to the forest grounds) is of great ecological importance. However, the ash cannot be recycled directly after combustion. There are several reasons for this, one being the volatility of wood ashes. Mixing ash/dolomite/water in order to obtain granular material is one method to stabilize wood ashes. The main problem is predicting the quantity of water to be added, since the necessary amount varies with the wood ash quality. One possible solution is to measure the mixture viscosity and study whether this parameter can be used to control the amount of added water. In this paper, the viscosity is estimated in the batch mixing process by measuring the normalized effective power Pe(t), that represents the rate of useful work being performed by the three-phase asynchronous machine used for the stirrer drive. The coherence function is used in order to detect any nonlinear relationship between the input-output data-the variable water flow and the normalized effective power Pe(t). It is shown that measuring Pe(t) is extraordinary well suited for future control of the amount of added water. First and second stage experiments are carried through in order to obtain a model of the viscosity dynamics}},
author = {{Svantesson, T. and Lauber, A. and Olsson, Gustaf}},
booktitle = {{Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE}},
isbn = {{0-7803-5890-2}},
keywords = {{autoregressive processes batch processing (industrial) bioenergy conversion covariance matrices matrix decomposition mixing modelling process control recursive estimation recycling uncertain systems viscosity wood processing}},
language = {{eng}},
pages = {{909--914}},
title = {{Viscosity Model Uncertainties in an Ash Stabilization Batch Mixing Process}},
url = {{http://dx.doi.org/10.1109/IMTC.2000.848863}},
doi = {{10.1109/IMTC.2000.848863}},
volume = {{2}},
year = {{2000}},
}