Evaluation of liquid-gas flow in pipeline using gamma-ray absorption technique and advanced signal processing

• Autorzy: Hanus Robert , Zych Marcin , Mosorov Volodymyr , Golijanek-Jędrzejczyk Anna , Jaszczur Marek , Andruszkiewicz Artur

Identyfikatory

DOI

10.24425/mms.2021.135997

• Języki publikacji: EN

Abstrakty

EN

Liquid-gas flows in pipelines appear in many industrial processes, e.g. in the nuclear, mining, and oil industry. The gamma-absorption technique is one of the methods that can be successfully applied to study such flows. This paper presents the use of the gamma-absorption method to determine the water-air flow parameters in a horizontal pipeline. Three flow types were studied in this work: plug, transitional plug-bubble, and bubble one. In the research, a radiometric set consisting of two Am-241 sources and two NaI(TI) scintillation detectors have been applied. Based on the analysis of the signals from both scintillation detectors, the gas phase velocity was calculated using the cross-correlation method (CCM). The signal from one detector was used to determine the void fraction and to recognise the flow regime. In the latter case, a Multi-Layer Perceptron-type artificial neural network (ANN) was applied. To reduce the number of signal features, the principal component analysis (PCA) was used. The expanded uncertainties of gas velocity and void fraction obtained for the flow types studied in this paper did not exceed 4.3% and 7.4% respectively. All three types of analyzed flows were recognised with 100% accuracy. Results of the experiments confirm the usefulness of the gamma-ray absorption method in combination with radiometric signal analysis by CCM and ANN with PCA for comprehensive analysis of liquid-gas flow in the pipeline.

Słowa kluczowe

EN

two-phase flow; void fraction; gamma-ray absorption; flow regime identification; artificial neural network

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2021
• Tom: Vol. 28, nr 1
• Strony: 145--159
• Opis fizyczny: Bibliogr. 40 po., rys., tab., wykr., wzory

Twórcy

autor

Hanus Robert

• Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, Powstańców Warszawy 12, 35-959 Rzeszów, Poland

autor

Zych Marcin

• AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, Al. Mickiewicza 30, 30-059 Kraków, Poland

autor

Mosorov Volodymyr

• Łódź University of Technology, Institute of Applied Computer Science, Żeromskiego 116, 90-537 Łódź, Poland

autor

Golijanek-Jędrzejczyk Anna

• Gdańsk University of Technology, Faculty of Electrical and Control Engineering, Narutowicza 11/12, 80-233 Gdańsk, Poland

autor

Jaszczur Marek

• AGH University of Science and Technology, Faculty of Energy and Fuels, Al. Mickiewicza 30, 30-059 Kraków, Poland

autor

Andruszkiewicz Artur

• Wrocław University of Science and Technology, Faculty of Mechanical and Power Engineering, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

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Uwagi

1. This work was supported by Rzeszów University of Technology under project UPB.EM.20.001 and by the Polish Ministry of Science and Higher Education under the program “Regional Initiative of Excellence” in 2019-2022, project number 027/RID/2018/19, funding amount 11 999 900 PLN.

2. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).