System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography

The microwave drying process has a wide application in industry, including drying polymer foams after the impregnation process for sealings in the construction industry. The objective of the drying process is to reach a certain moisture in the foam by adjusting the power levels of the microwave sour...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Marzieh Hosseini, Anna Kaasinen, Mahdi Aliyari Shoorehdeli, Guido Link, Timo Lähivaara, Marko Vauhkonen
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/80f3caad7ef547c6b747a950bee4cb77
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:80f3caad7ef547c6b747a950bee4cb77
record_format dspace
spelling oai:doaj.org-article:80f3caad7ef547c6b747a950bee4cb772021-11-11T19:09:42ZSystem Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography10.3390/s212171701424-8220https://doaj.org/article/80f3caad7ef547c6b747a950bee4cb772021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7170https://doaj.org/toc/1424-8220The microwave drying process has a wide application in industry, including drying polymer foams after the impregnation process for sealings in the construction industry. The objective of the drying process is to reach a certain moisture in the foam by adjusting the power levels of the microwave sources. A moisture controller can be designed to achieve this goal; however, a process model is required to design model-based controllers. Since complex physics governs the microwave drying process, system identification tools are employed in this paper to exploit the process input and output information and find a simplified yet accurate model of the process. The moisture content of the foam that is the process output is measured using a designed electrical capacitance tomography (ECT) sensor. The ECT sensor estimates the 2D permittivity distribution of moving foams, which correlates with the foam moisture. Experiments are conducted to collect the ECT measurements while giving different inputs to the microwave sources. A state-space model is estimated using one of the collected datasets and is validated using the other datasets. The comparison between the model response and the actual measurements shows that the model is accurate enough to design a controller for the microwave drying process.Marzieh HosseiniAnna KaasinenMahdi Aliyari ShoorehdeliGuido LinkTimo LähivaaraMarko VauhkonenMDPI AGarticlemicrowave dryingmodelingsystem identificationindustrial tomographyelectrical capacitance tomographyChemical technologyTP1-1185ENSensors, Vol 21, Iss 7170, p 7170 (2021)
institution DOAJ
collection DOAJ
language EN
topic microwave drying
modeling
system identification
industrial tomography
electrical capacitance tomography
Chemical technology
TP1-1185
spellingShingle microwave drying
modeling
system identification
industrial tomography
electrical capacitance tomography
Chemical technology
TP1-1185
Marzieh Hosseini
Anna Kaasinen
Mahdi Aliyari Shoorehdeli
Guido Link
Timo Lähivaara
Marko Vauhkonen
System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
description The microwave drying process has a wide application in industry, including drying polymer foams after the impregnation process for sealings in the construction industry. The objective of the drying process is to reach a certain moisture in the foam by adjusting the power levels of the microwave sources. A moisture controller can be designed to achieve this goal; however, a process model is required to design model-based controllers. Since complex physics governs the microwave drying process, system identification tools are employed in this paper to exploit the process input and output information and find a simplified yet accurate model of the process. The moisture content of the foam that is the process output is measured using a designed electrical capacitance tomography (ECT) sensor. The ECT sensor estimates the 2D permittivity distribution of moving foams, which correlates with the foam moisture. Experiments are conducted to collect the ECT measurements while giving different inputs to the microwave sources. A state-space model is estimated using one of the collected datasets and is validated using the other datasets. The comparison between the model response and the actual measurements shows that the model is accurate enough to design a controller for the microwave drying process.
format article
author Marzieh Hosseini
Anna Kaasinen
Mahdi Aliyari Shoorehdeli
Guido Link
Timo Lähivaara
Marko Vauhkonen
author_facet Marzieh Hosseini
Anna Kaasinen
Mahdi Aliyari Shoorehdeli
Guido Link
Timo Lähivaara
Marko Vauhkonen
author_sort Marzieh Hosseini
title System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
title_short System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
title_full System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
title_fullStr System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
title_full_unstemmed System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography
title_sort system identification of conveyor belt microwave drying process of polymer foams using electrical capacitance tomography
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/80f3caad7ef547c6b747a950bee4cb77
work_keys_str_mv AT marziehhosseini systemidentificationofconveyorbeltmicrowavedryingprocessofpolymerfoamsusingelectricalcapacitancetomography
AT annakaasinen systemidentificationofconveyorbeltmicrowavedryingprocessofpolymerfoamsusingelectricalcapacitancetomography
AT mahdialiyarishoorehdeli systemidentificationofconveyorbeltmicrowavedryingprocessofpolymerfoamsusingelectricalcapacitancetomography
AT guidolink systemidentificationofconveyorbeltmicrowavedryingprocessofpolymerfoamsusingelectricalcapacitancetomography
AT timolahivaara systemidentificationofconveyorbeltmicrowavedryingprocessofpolymerfoamsusingelectricalcapacitancetomography
AT markovauhkonen systemidentificationofconveyorbeltmicrowavedryingprocessofpolymerfoamsusingelectricalcapacitancetomography
_version_ 1718431594771906560