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...
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| Format: | Article |
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MDPI AG
2021-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/21/7170 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:53:00Z |
| format | Article |
| id | doaj.art-80f3caad7ef547c6b747a950bee4cb77 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T05:53:00Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-80f3caad7ef547c6b747a950bee4cb772023-11-22T21:37:37ZengMDPI AGSensors1424-82202021-10-012121717010.3390/s21217170System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance TomographyMarzieh Hosseini0Anna Kaasinen1Mahdi Aliyari Shoorehdeli2Guido Link3Timo Lähivaara4Marko Vauhkonen5Department of Applied Physics, University of Eastern Finland, 70211 Kuopio, FinlandDepartment of Applied Physics, University of Eastern Finland, 70211 Kuopio, FinlandMechatronics Department, Electrical Engineering Faculty, K.N. Toosi University of Technology, Tehran 16315-1355, IranInstitute for Pulsed Power and Microwave Technology, Karlsruhe Institute of Technology, 76131 Karlsruhe, GermanyDepartment of Applied Physics, University of Eastern Finland, 70211 Kuopio, FinlandDepartment of Applied Physics, University of Eastern Finland, 70211 Kuopio, FinlandThe 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.https://www.mdpi.com/1424-8220/21/21/7170microwave dryingmodelingsystem identificationindustrial tomographyelectrical capacitance tomography |
| spellingShingle | 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 Sensors microwave drying modeling system identification industrial tomography electrical capacitance tomography |
| title | 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_short | 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 |
| topic | microwave drying modeling system identification industrial tomography electrical capacitance tomography |
| url | https://www.mdpi.com/1424-8220/21/21/7170 |
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