Low-Cost and Efficient Solution for the Automation of Laboratory Scale Experiments: The Case of Distillation Column

Chemical laboratories badly need efficient support for human works when experiments are carried out. Process control and data acquisition at the laboratory scale are still practical challenges among others, due to equipment prices and the relative complexity of the different scientific disciplines....
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Florian Enyedi [verfasserIn] Huyen Trang Do Thi [verfasserIn] Agnes Szanyi [verfasserIn] Peter Mizsey [verfasserIn] Andras Jozsef Toth [verfasserIn] Tibor Nagy [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	microcontroller data acquisition process control labscale tuning

Übergeordnetes Werk:	In: Processes - MDPI AG, 2013, 10(2022), 737, p 737
Übergeordnetes Werk:	volume:10 ; year:2022 ; number:737, p 737

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/pr10040737

Katalog-ID:	DOAJ08534267X

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authorswithroles_txt_mv	Florian Enyedi @@aut@@ Huyen Trang Do Thi @@aut@@ Agnes Szanyi @@aut@@ Peter Mizsey @@aut@@ Andras Jozsef Toth @@aut@@ Tibor Nagy @@aut@@
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callnumber-first	T - Technology
author	Florian Enyedi
spellingShingle	Florian Enyedi misc TP1-1185 misc QD1-999 misc microcontroller misc data acquisition misc process control misc labscale misc tuning misc Chemical technology misc Chemistry Low-Cost and Efficient Solution for the Automation of Laboratory Scale Experiments: The Case of Distillation Column
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topic	misc TP1-1185 misc QD1-999 misc microcontroller misc data acquisition misc process control misc labscale misc tuning misc Chemical technology misc Chemistry
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title	Low-Cost and Efficient Solution for the Automation of Laboratory Scale Experiments: The Case of Distillation Column
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title_sort	low-cost and efficient solution for the automation of laboratory scale experiments: the case of distillation column
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title_auth	Low-Cost and Efficient Solution for the Automation of Laboratory Scale Experiments: The Case of Distillation Column
abstract	Chemical laboratories badly need efficient support for human works when experiments are carried out. Process control and data acquisition at the laboratory scale are still practical challenges among others, due to equipment prices and the relative complexity of the different scientific disciplines. There is, however, a large demand recently for the so-called Internet of Things (IoT), intelligent/smart labeled solutions that also include laboratory equipment items. Such solutions have enormous potential in making research activity and routine laboratory work efficient and easy by implementing proper data acquisition and control for laboratory-scale equipment items. To solve these practical challenges, an efficient and simple solution was designed and completed for the control and data acquisition of a laboratory-scale rectification process by a well-known microcontroller connected to MATLAB/Simulink. The straightforward application of this solution is demonstrated in case study measurements. The data acquired were used also for process identification. The data were then further processed for various simple and more advanced tunings that were applied, evaluated, and compared. By implementing gain scheduling, significant improvements can be achieved compared to model-based PID tunings while the application of self-tuning by adaptive interaction demands too much consideration for better evaluation with low benefit. Furthermore, the developed device introduces the advantages of digitalization and the 4.0 industrial revolution in the laboratory as well as supports human laboratory work. It also narrows the gap between the laboratory and industrial environment items since the final design can provide a complete process control experience already at the laboratory scale.
abstractGer	Chemical laboratories badly need efficient support for human works when experiments are carried out. Process control and data acquisition at the laboratory scale are still practical challenges among others, due to equipment prices and the relative complexity of the different scientific disciplines. There is, however, a large demand recently for the so-called Internet of Things (IoT), intelligent/smart labeled solutions that also include laboratory equipment items. Such solutions have enormous potential in making research activity and routine laboratory work efficient and easy by implementing proper data acquisition and control for laboratory-scale equipment items. To solve these practical challenges, an efficient and simple solution was designed and completed for the control and data acquisition of a laboratory-scale rectification process by a well-known microcontroller connected to MATLAB/Simulink. The straightforward application of this solution is demonstrated in case study measurements. The data acquired were used also for process identification. The data were then further processed for various simple and more advanced tunings that were applied, evaluated, and compared. By implementing gain scheduling, significant improvements can be achieved compared to model-based PID tunings while the application of self-tuning by adaptive interaction demands too much consideration for better evaluation with low benefit. Furthermore, the developed device introduces the advantages of digitalization and the 4.0 industrial revolution in the laboratory as well as supports human laboratory work. It also narrows the gap between the laboratory and industrial environment items since the final design can provide a complete process control experience already at the laboratory scale.
abstract_unstemmed	Chemical laboratories badly need efficient support for human works when experiments are carried out. Process control and data acquisition at the laboratory scale are still practical challenges among others, due to equipment prices and the relative complexity of the different scientific disciplines. There is, however, a large demand recently for the so-called Internet of Things (IoT), intelligent/smart labeled solutions that also include laboratory equipment items. Such solutions have enormous potential in making research activity and routine laboratory work efficient and easy by implementing proper data acquisition and control for laboratory-scale equipment items. To solve these practical challenges, an efficient and simple solution was designed and completed for the control and data acquisition of a laboratory-scale rectification process by a well-known microcontroller connected to MATLAB/Simulink. The straightforward application of this solution is demonstrated in case study measurements. The data acquired were used also for process identification. The data were then further processed for various simple and more advanced tunings that were applied, evaluated, and compared. By implementing gain scheduling, significant improvements can be achieved compared to model-based PID tunings while the application of self-tuning by adaptive interaction demands too much consideration for better evaluation with low benefit. Furthermore, the developed device introduces the advantages of digitalization and the 4.0 industrial revolution in the laboratory as well as supports human laboratory work. It also narrows the gap between the laboratory and industrial environment items since the final design can provide a complete process control experience already at the laboratory scale.
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title_short	Low-Cost and Efficient Solution for the Automation of Laboratory Scale Experiments: The Case of Distillation Column
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author2	Huyen Trang Do Thi Agnes Szanyi Peter Mizsey Andras Jozsef Toth Tibor Nagy
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Low-Cost and Efficient Solution for the Automation of Laboratory Scale Experiments: The Case of Distillation Column

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