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A conductometric method for determining of the upward gas-liquid-liquid three-phase flow

Małgorzata Płaczek Marcin Pietrzak Stanisław Witczak
Archives of Thermodynamics | 2018 | vol. 39 | No 3 | 97-110
Keywords conductometric method three-phase flow flow patterns
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Abstract

This paper reports the results of research involving observations of flow patterns during air-oil-water three-phase flow through a vertical pipe with an internal diameter of 0.03 m and a length of 3 m. The conductometric method based on the measurement of electrical conductivity of the gas-liquid-liquid system was used to evaluate the flow patterns. In the studies, a set of eight probes spaced concentrically in two tube sections (four probes per each) with a spacing of 0.015 m were used. The paper presents a theoretical description of the test method and the analysis of the measurement results for air-oil-water multiphase flow system. Results of this study indicate that the developed method of characterizing the voltage of the gas-liquid-liquid system can be an important tool supporting other methods to identify flow patterns, including visual observation.

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Authors and Affiliations

Małgorzata Płaczek
Marcin Pietrzak
Stanisław Witczak

Study on the Three-Phase Flow of the Water Transfer Export Elbow of Natural Gas Hydrate

Wei Chen Hai-liang Xu Bo Wu Fang-qiong Yang
Archives of Mining Sciences | 2022 | vol. 67 | No 2 | 239-258 | DOI: 10.24425/ams.2022.141456
Keywords deep-sea mining natural gas hydrates three-phase flow numerical simulation
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Abstract

The Euler multiphase flow and population equilibrium model were used to simulate the three-phase flow field in the bubble expansion stage of the outlet curved pipe section. The influence of the ratio of the bending diameter and the volume fraction of the gas phase on the pressure loss is revealed, and the safety range of the optimum bending diameter ratio and the volume fraction of the outlet gas phase is determined. The results show that the three-phase flow in the tube is more uniformly distributed in the vertical stage, and when the pipe is curved, the liquid-phase close to the pipe wall gathers along the pipe flank to the outside of the pipe, the solid phase is transferred along the pipe flank to the inside of the pipe, and the gas phase shrinks along the pipe flank to the inner centre. The maximum speed of each phase of the three-phase flow in the elbow is at the wall of the tube from 45° to 60° inside the elbow, and the distribution law along the axial direction of the pipe is about the same as the distribution law of volume fraction. The pressure loss of the elbow decreases with the increase of the bend diameter ratio, when the bend diameter ratio increases to 6, the pressure loss of the pipe decreases sharply, and the pressure loss decreases slowly with the increase of the bend diameter ratio. When the gas phase volume score in the elbow reaches 70%, there will be an obvious wall separation phenomenon, to keep the system in a stable working state and prevent blowout, the gas phase volume score should be controlled within 60%.
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Authors and Affiliations

Wei Chen
1 2 3
ORCID: ORCID
Hai-liang Xu
2 3
ORCID: ORCID
Bo Wu
2 3
ORCID: ORCID
Fang-qiong Yang
2 3
ORCID: ORCID
  1. Hunan University of Humanities, Department of Energy and Electrical Engineering, Science and Technology, Loudi, Hunan 417000, China
  2. Central South University, School of Mechanical and Electrical Engineering, Changsha, Hunan 410083, China
  3. State Key Laboratory of High Performance Complex Manufacturing, Changsha, Hunan 410083, China

Diffusive–inertial droplet separation model from two-phase flow

Jarosław Mikielewicz Oktawia Dolna Roman Kwidziński
Archives of Thermodynamics | 2021 | vol. 42 | No 3 | 141-158 | DOI: 10.24425/ather.2021.138113
Keywords two-phase flow Diffusive-inertial droplet separation Stopping distance
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Abstract

This paper concerns analytical considerations on a complex phenomenon which is diffusive-inertial droplet separation from the twophase vapour-liquid flow which occurs in many devices in the power industry (e.g. heat pumps, steam turbines, organic Rankine cycles, etc.). The new mathematical model is mostly devoted to the analysis of the mechanisms of diffusion and inertia influencing the distance at which a droplet separates from the two-phase flow and falls on a channel wall. The analytical model was validated based on experimental data. The results obtained through the analytical computations stay in a satisfactory agreement with available literature data.
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Bibliography

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Authors and Affiliations

Jarosław Mikielewicz
1
Oktawia Dolna
1
Roman Kwidziński
1
  1. Institute of Fluid Flow Machinery, Polish Academy of Sciences, Fiszera 14, 80-231 Gdansk, Poland

Ultrasonic Simulation Research of Two-Dimensional Distribution in Gas-Solid Two-Phase Flow by Backscattering Method

Jinhui Fan Fei Wang
Archives of Acoustics | 2022 | vol. 47 | No 3 | 373-382 | DOI: 10.24425/aoa.2022.142011
Keywords gas-solid two-phase flow COMSOL simulation ultrasonic backscattering method
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Abstract

The two-dimensional distribution of gas-solid flow parameters is a great research significance to reflect the actual situation in industry. The commonly used method is the ultrasonic tomography method, in which multiple probes are arranged at various angles, or the measurement device is rotated as that in medicine, but in most industrial situations, it is impossible to install probes at all angles or rotate the measured pipe. The backscattering method, however, uses only one transducer to both transmit and receive signals, and the twodimensional information is obtained by only rotating the transducer. Ultrasound attenuates greatly in the air, and the attenuation changes with frequency. Therefore, COMSOL is used to study the reflection of particles with different radii in the air to ultrasound with various frequencies. It is found that the backscattering equivalent voltage is the largest when the product of ultrasonic frequency and particle radius is about 27.78 Hz �� m, and the particle concentration of 30% causes the strongest backscattering. The simulated results are in good agreement with the Faran backscattering model, which can provide references for selecting the appropriate frequency and obtaining the concentration when measuring gas-solid two-phase flow with the ultrasonic backscattering method.
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Authors and Affiliations

Jinhui Fan
1
Fei Wang
1
  1. State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China

Numerical investigation for convective heat transfer of nanofluid laminar flow inside a circular pipe by applying various models

Farqad Rasheed Saeed Marwah Abdulkareem Al-Dulaimi
Archives of Thermodynamics | 2021 | vol. 42 | No 1 | 71-95 | DOI: 10.24425/ather.2021.136948
Keywords Convective heat transfer Reynolds number Nanofluid Single-phase flow thermophysical properties
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Abstract

The work presents a numerical investigation for the convective heat transfer of nanofluids under a laminar flow inside a straight tube. Different models applied to investigate the improvement in convective heat transfer, and Nusselt number in comparison with the experimental data. The impact of temperature dependence, temperature independence, and Brownian motion, was studied through the used models. In addition, temperature distribution and velocity field discussed through the presented models. Various concentrations of nanoparticles are used to explore the results of each equation with more precision. It was shown that achieving the solution through specific models could provide better consistency between obtained results and experimental data than the others.
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Bibliography

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[4] Choi S.U.S., Eastman J.A.: Enhancing thermal conductivity of fluids with nanoparticles. Argonne National Lab., ANL/MSD/CP-84938, CONF-951135-29, 1995.
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[15] Corcione M.: Empirical correlating equations for predicting the effective thermal conductivity and dynamic viscosity of nanofluids. Energ. Convers. Manage. 52(2011), 1, 789–793.
[16] Onyiriuka E.J., Obanor A.I., Mahdavi M., Ewim D.R.E.: Evaluation of singlephase, discrete, mixture and combined model of discrete and mixture phases in predicting nanofluid heat transfer characteristics for laminar and turbulent flow regimes. Adv. Powder Technol. 29(2018), 11, 2644–2657.
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Authors and Affiliations

Farqad Rasheed Saeed
1
Marwah Abdulkareem Al-Dulaimi
  1. Ministry of Science and Technology, Directorate of Materials Research, 55509 Al-Jadriya, Iraq

Numerical investigation and sensitivity analysis of entropy generation of Al2O3/H2O nanofluid in turbulent regime using response surface methodology

O.G. Fadodun B.A. Olokuntoye A.O. Salau Adebimpe A. Amosun
Archives of Thermodynamics | 2020 | vol. 41 | No 2 | 119-146 | DOI: 10.24425/ather.2020.133625
Keywords Entropy production Reynolds number Response-surface-methodology Nanofluid Single-phase flow
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Abstract

This work investigates the effect of Reynolds number, nanoparticle volume ratio, nanoparticle size and entrance temperature on the rate of entropy generation in Al2O3 /H2O nanofluid flowing through a pipe in the turbulent regime. The Reynolds average Navier-Stokes and energy equations were solved using the standard k-ε turbulent model and the central composite method was used for the design of experiment. Based on the number of variables and levels, the condition of 30 runs was defined and 30 simulations were run. The result of the regression model obtained showed that all the input variables and some interaction between the variables are statistically significant to the entropy production. Furthermore, the sensitivity analysis result shows that the Reynolds number, the nanoparticle volume ratio and the entrance temperature have negative sensitivity while the nanoparticle size has positive sensitivity.

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Authors and Affiliations

O.G. Fadodun
B.A. Olokuntoye
A.O. Salau
Adebimpe A. Amosun

Numerical investigation and sensitivity analysis of turbulent heat transfer and pressure drop of Al2O3/H2O nanofluid in straight pipe using response surface methodology

Olatomide G. Fadodun Adebimpe A. Amosun Ayodeji O. Salau David O. Olaloye Johnson A. Ogundeji Francis I. Ibitoye Fatai A. Balogun
Archives of Thermodynamics | 2020 | vol. 41 | No 1 | 3-30 | DOI: 10.24425/ather.2020.132948
Keywords Nusselt number Reynolds number pressure drop Response-surface-methodology Nanofluid Single-phase flow
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Abstract

In this paper, investigation of the effect of Reynolds number, nanoparticle volume ratio, nanoparticle diameter and entrance temperature on the convective heat transfer and pressure drop of Al2O3/H2O nanofluid in turbulent flow through a straight pipe was carried out. The study employed a computational fluid dynamic approach using single-phase model and response surface methodology for the design of experiment. The Reynolds average Navier-Stokes equations and energy equation were solved using k-" turbulent model. The central composite design method was used for the response-surface-methodology. Based on the number of variables and levels, the condition of 30 runs was defined and 30 simulations were performed. New models to evaluate the mean Nusselt number and pressure drop were obtained. Also, the result showed that all the four input variables are statistically significant to the pressure drop while three out of them are significant to the Nusslet number. Furthermore, sensitivity analysis carried out showed that the Reynolds number and volume fraction have a positive sensitivity to both the mean Nusselt number, and pressure drop, while the entrance temperature has negative sensitivities to both.

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Authors and Affiliations

Olatomide G. Fadodun
Adebimpe A. Amosun
Ayodeji O. Salau
David O. Olaloye
Johnson A. Ogundeji
Francis I. Ibitoye
Fatai A. Balogun

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

Robert Hanus Marcin Zych Volodymyr Mosorov Anna Golijanek-Jędrzejczyk Marek Jaszczur Artur Andruszkiewicz
Metrology and Measurement Systems | 2021 | vol. 28 | No 1 | 145-159 | DOI: 10.24425/mms.2021.135997
Keywords two-phase flow void fraction gamma-ray absorption flow regime identification artificial neural network
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Abstract

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.
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Authors and Affiliations

Robert Hanus
1
Marcin Zych
2
Volodymyr Mosorov
3
Anna Golijanek-Jędrzejczyk
4
Marek Jaszczur
5
Artur Andruszkiewicz
6
  1. Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, Powstanców Warszawy 12, 35-959 Rzeszów, Poland
  2. AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, Al. Mickiewicza 30, 30-059 Kraków, Poland
  3. Łódz University of Technology, Institute of Applied Computer Science, Zeromskiego 116, 90-537 Łódz, Poland
  4. Gdansk University of Technology, Faculty of Electrical and Control Engineering, Narutowicza 11/12, 80-233 Gdansk, Poland
  5. AGH University of Science and Technology, Faculty of Energy and Fuels, Al. Mickiewicza 30, 30-059 Kraków, Poland
  6. Wrocław University of Science and Technology, Faculty of Mechanical and Power Engineering, Wybrzeze Wyspianskiego 27, 50-370 Wrocław, Poland

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