1
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Li C, Cui Y, Shi X, Gao J, Lan X. CFD simulation of mass transfer in bubble columns: Detailed study of mass transfer models. Chem Eng Sci 2022. [DOI: 10.1016/j.ces.2022.118173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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2
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Nedeltchev S, Katerla J, Basiak E. Novel Hybrid Methods for Identifying the Main Transition Velocities in Various Bubble Columns. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 2022. [DOI: 10.1252/jcej.21we082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Jakub Katerla
- Institute of Chemical Engineering, Polish Academy of Sciences
| | - Ewelina Basiak
- Institute of Chemical Engineering, Polish Academy of Sciences
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3
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Teli SM, Mathpati CS. Experimental and Numerical Study of Gas-Liquid Flow in a Sectionalized External-Loop Airlift Reactor. Chin J Chem Eng 2021. [DOI: 10.1016/j.cjche.2020.10.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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4
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Experimental investigation of hydrodynamic parameters and bubble characteristics in CO2 absorption column using pure ionic liquid and binary mixtures: Effect of porous sparger and operating conditions. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2020.116041] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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5
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Reliable identification of the first transition velocity in various bubble columns based on accurate sophisticated methods. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2020.11.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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6
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Arteaga-Arteaga HB, Mora-Rubio A, Florez F, Murcia-Orjuela N, Diaz-Ortega CE, Orozco-Arias S, delaPava M, Bravo-Ortíz MA, Robinson M, Guillen-Rondon P, Tabares-Soto R. Machine learning applications to predict two-phase flow patterns. PeerJ Comput Sci 2021; 7:e798. [PMID: 34909465 PMCID: PMC8641572 DOI: 10.7717/peerj-cs.798] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 11/07/2021] [Indexed: 05/15/2023]
Abstract
Recent advances in artificial intelligence with traditional machine learning algorithms and deep learning architectures solve complex classification problems. This work presents the performance of different artificial intelligence models to classify two-phase flow patterns, showing the best alternatives for this specific classification problem using two-phase flow regimes (liquid and gas) in pipes. Flow patterns are affected by physical variables such as superficial velocity, viscosity, density, and superficial tension. They also depend on the construction characteristics of the pipe, such as the angle of inclination and the diameter. We selected 12 databases (9,029 samples) to train and test machine learning models, considering these variables that influence the flow patterns. The primary dataset is Shoham (1982), containing 5,675 samples with six different flow patterns. An extensive set of metrics validated the results obtained. The most relevant characteristics for training the models using Shoham (1982) dataset are gas and liquid superficial velocities, angle of inclination, and diameter. Regarding the algorithms, the Extra Trees model classifies the flow patterns with the highest degree of fidelity, achieving an accuracy of 98.8%.
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Affiliation(s)
| | - Alejandro Mora-Rubio
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia
| | - Frank Florez
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia
| | - Nicolas Murcia-Orjuela
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia
| | | | - Simon Orozco-Arias
- Department of Computer Science, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia
- Department of Systems and Informatics, Universidad de Caldas, Manizales, Caldas, Colombia
| | - Melissa delaPava
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia
| | - Mario Alejandro Bravo-Ortíz
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia
- Department of Computer Science, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia
| | - Melvin Robinson
- College of Science and Engineering, Houston Baptist University, Houston, Texas, United States of America
| | - Pablo Guillen-Rondon
- Department of Computer Science, University of Houston Downtown, Houston, Texas, United States of America
- Biomedical and Energy Solutions LLC, Houston, Texas, United States of America
| | - Reinel Tabares-Soto
- Department of Electronics and Automation, Universidad Autónoma de Manizales, Manizales, Caldas, Colombia
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7
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Li X, Su W, Liu Y, Yan X, Wang L, Zhang H. Comparison of bubble velocity, size, and holdup distribution between single‐ and double‐air inlet in jet microbubble generator. ASIA-PAC J CHEM ENG 2020. [DOI: 10.1002/apj.2611] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Xiaoheng Li
- School of Chemical Engineering and Technology China University of Mining and Technology Xuzhou China
| | - Wenbing Su
- School of Chemical Engineering and Technology China University of Mining and Technology Xuzhou China
| | - Yu Liu
- School of Chemical Engineering and Technology China University of Mining and Technology Xuzhou China
| | - Xiaokang Yan
- School of Chemical Engineering and Technology China University of Mining and Technology Xuzhou China
- National Engineering Research Center of Coal Preparation and Purification Xuzhou China
| | - Lijun Wang
- School of Electric Power Engineering China University of Mining and Technology Xuzhou China
| | - Haijun Zhang
- School of Chemical Engineering and Technology China University of Mining and Technology Xuzhou China
- National Engineering Research Center of Coal Preparation and Purification Xuzhou China
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8
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Zhang XB, Yan WC, Luo ZH. CFD-PBM Simulation of Bubble Columns: Sensitivity Analysis of the Nondrag Forces. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c02759] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Xi-Bao Zhang
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
| | - Wei-Cheng Yan
- School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, P. R. China
| | - Zheng-Hong Luo
- Department of Chemical Engineering, School of Chemistry and Chemical Engineering, State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, P. R. China
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9
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10
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Mowla A, Agnaou M, Treeratanaphitak T, Budman HM, Abukhdeir NM, Ioannidis MA. On the prediction of gas hold‐up in two‐phase flow systems using an Euler–Euler model. AIChE J 2020. [DOI: 10.1002/aic.16959] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Amir Mowla
- Department of Chemical EngineeringUniversity of Waterloo Waterloo Ontario Canada
| | - Mehrez Agnaou
- Department of Chemical EngineeringUniversity of Waterloo Waterloo Ontario Canada
| | | | - Hector M. Budman
- Department of Chemical EngineeringUniversity of Waterloo Waterloo Ontario Canada
| | - Nasser M. Abukhdeir
- Department of Chemical EngineeringUniversity of Waterloo Waterloo Ontario Canada
| | - Marios A. Ioannidis
- Department of Chemical EngineeringUniversity of Waterloo Waterloo Ontario Canada
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11
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Lu X, Zheng X, Ding Y, Lin W, Wang W, Yu J. Experimental study on the influence of the orifice size on hydrodynamic characteristics and bubble size distribution of an external loop airlift reactor. CAN J CHEM ENG 2020. [DOI: 10.1002/cjce.23699] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Xia Lu
- School of Mechanical and Electronic EngineeringWuhan Institute of Technology Wuhan City P. R. China
- The College of Post and Telecommunication of Wuhan Institute of Technology Wuhan City P. R. China
| | - Xiaotao Zheng
- School of Mechanical and Electronic EngineeringWuhan Institute of Technology Wuhan City P. R. China
| | - Yigang Ding
- School of Chemical and Engineering and PharmacyWuhan Institute of Technology Wuhan City P. R. China
| | - Wei Lin
- School of Mechanical and Electronic EngineeringWuhan Institute of Technology Wuhan City P. R. China
| | - Wei Wang
- School of Mechanical and Electronic EngineeringWuhan Institute of Technology Wuhan City P. R. China
| | - Jiuyang Yu
- School of Mechanical and Electronic EngineeringWuhan Institute of Technology Wuhan City P. R. China
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12
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Yan P, Jin H, He G, Guo X, Ma L, Yang S, Zhang R. Numerical simulation of bubble characteristics in bubble columns with different liquid viscosities and surface tensions using a CFD-PBM coupled model. Chem Eng Res Des 2020. [DOI: 10.1016/j.cherd.2019.11.030] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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13
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Affiliation(s)
- Shivanand M. Teli
- Department of Chemical Engineering, Institute of Chemical Technology, Mumbai, India
- Department of Chemical Engineering, Gharda Institute of Technology, Ratnagiri, India
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14
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Fan W, Yuan L, Li Y. CFD Simulation of flow pattern in a bubble column reactor for forming aerobic granules and its development. ENVIRONMENTAL TECHNOLOGY 2019; 40:3652-3667. [PMID: 29862894 DOI: 10.1080/09593330.2018.1484522] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 05/29/2018] [Indexed: 06/08/2023]
Abstract
The flow pattern is considered to play an important role in the formation of aerobic granular sludge in a bubble column reactor; therefore, it is necessary to understand the behavior of the flow in the reactor. A three-dimensional computational fluid dynamics (CFD) simulation for bubble column reactor was established to visualize the flow patterns of two-phase air-liquid flow and three-phase air-liquid-sludge flow under different ratios of height to diameter (H/D ratio) and superficial gas upflow velocities (SGVs). Moreover, a simulation of the three-phase flow pattern at the same SGV and different characteristics of the sludge was performed in this study. The results show that not only SGV but also properties of sludge involve the transformation of flow behaviors and relative velocity between liquid and sludge. For the original activated sludge floc to cultivate aerobic granules, the flow pattern has nothing to do with sludge, but is influenced by SGV, and the vortices is occurred and the relative velocity is increased with an increase in SGV; the two-phase flow can simplify the three-phase flow that predicts the flow pattern development in bubble column reactor (BCR) for aerobic granulation. For the aerobic granules, the liquid flow behavior developed from the symmetrical circular flow to numbers and small-size vortices with an increase in the sludge diameter, the relative velocity is amount up to ur = 5.0, it is 29.4 times of original floc sludge.
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Affiliation(s)
- Wenwen Fan
- Key Laboratory of Environmental Engineering, Shaanxi Province; Key Laboratory of Northwest Water Resources Environment and Ecology, MOE, Xi'an University of Architecture and Technology , Xi'an , People's Republic of China
| | - LinJiang Yuan
- Key Laboratory of Environmental Engineering, Shaanxi Province; Key Laboratory of Northwest Water Resources Environment and Ecology, MOE, Xi'an University of Architecture and Technology , Xi'an , People's Republic of China
| | - Yonglin Li
- Key Laboratory of Environmental Engineering, Shaanxi Province; Key Laboratory of Northwest Water Resources Environment and Ecology, MOE, Xi'an University of Architecture and Technology , Xi'an , People's Republic of China
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15
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Modeling and experiment of gas desorption of bubble column with an external loop in the heterogeneous flow regime. KOREAN J CHEM ENG 2019. [DOI: 10.1007/s11814-019-0368-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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16
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Lu X, Ding Y, Yu J, Long B, Zheng X. Experimental study of hydrodynamics and bubble size distribution of an external loop airlift reactor. CAN J CHEM ENG 2019. [DOI: 10.1002/cjce.23456] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Xia Lu
- School of Chemical and Engineering and PharmacyWuhan Institute of TechnologyWuhan CityHubei ProvinceP. R. China
- The College of Post and Telecommunication of Wuhan Institute of TechnologyWuhan CityHubei ProvinceP. R. China
| | - Yigang Ding
- School of Chemical and Engineering and PharmacyWuhan Institute of TechnologyWuhan CityHubei ProvinceP. R. China
| | - Jiuyang Yu
- School of Mechanical and Electronic EngineeringWuhan Institute of TechnologyWuhan CityHubei ProvinceP. R. China
| | - Bingwen Long
- School of Chemical and Engineering and PharmacyWuhan Institute of TechnologyWuhan CityHubei ProvinceP. R. China
| | - Xiaotao Zheng
- School of Mechanical and Electronic EngineeringWuhan Institute of TechnologyWuhan CityHubei ProvinceP. R. China
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17
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Su W, Yan X, Wang L, Zhang H, Cao Y. Effect of height of flotation column on flow field. ASIA-PAC J CHEM ENG 2019. [DOI: 10.1002/apj.2311] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Wenbing Su
- School of Chemical Engineering and TechnologyChina University of Mining & Technology Xuzhou 221116 China
| | - Xiaokang Yan
- School of Chemical Engineering and TechnologyChina University of Mining & Technology Xuzhou 221116 China
| | - Lijun Wang
- School of Power EngineeringChina University of Mining & Technology Xuzhou Jiangsu 221116 China
| | - Haijun Zhang
- School of Chemical Engineering and TechnologyChina University of Mining & Technology Xuzhou 221116 China
| | - Yijun Cao
- National Engineering Research Center of Coal Preparation & PurificationChina University of Mining & Technology Xuzhou Jiangsu 221116 China
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18
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Yan P, Jin H, He G, Guo X, Ma L, Yang S, Zhang R. CFD simulation of hydrodynamics in a high-pressure bubble column using three optimized drag models of bubble swarm. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2019.01.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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19
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Maximiano Raimundo P, Cloupet A, Cartellier A, Beneventi D, Augier F. Hydrodynamics and scale-up of bubble columns in the heterogeneous regime: Comparison of bubble size, gas holdup and liquid velocity measured in 4 bubble columns from 0.15 m to 3 m in diameter. Chem Eng Sci 2019. [DOI: 10.1016/j.ces.2018.12.043] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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20
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Im H, Park J, Lee JW. Prediction of Main Regime Transition with Variations of Gas and Liquid Phases in a Bubble Column. ACS OMEGA 2019; 4:1329-1343. [PMID: 31459402 PMCID: PMC6648151 DOI: 10.1021/acsomega.8b02657] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 12/31/2018] [Indexed: 06/10/2023]
Abstract
Industrial bubble columns mainly operate in a heterogeneous flow regime and identifying transition from homogeneous to heterogeneous flow is important. This work addresses the determination of flow regimes with gas-liquid systems in a bubble column. Various parameters of gas holdup, volumetric mass transfer coefficient, drift flux, and pressure standard deviations were investigated to precisely determine the superficial gas velocity at the transition regime. For a column aspect ratio (H/D: static liquid height to column diameter ratio) of 2.5 to 5, the transitional superficial gas velocity generally became higher with lower liquid height. However, the reverse trend was observed with a low density gas system due to the difference in force balance acting around the bubble. The weak body force and drag force in a lower axial position interrupted the mass transfer process. The experimental results showed similar ranges of the transitional superficial gas velocity regardless of the choice of parameter for detecting it. Because there is no precise correlation about transition regime properties, we proposed new correlations to predict both transition regime superficial gas velocity and gas holdup by taking the intersection of the two regimes. The correlations precisely captured the transition regime properties within 15% deviations even in gas-liquid systems that are not tested in this work.
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21
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Bombač A, Rek Z, Levec J. Void fraction distribution in a bisectional bubble column reactor. AIChE J 2019. [DOI: 10.1002/aic.16534] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Andrej Bombač
- Laboratory for Fluid Dynamics and Thermodynamics, Faculty of Mechanical Engineering; University of Ljubljana; Ljubljana, 1000 Slovenia
| | - Zlatko Rek
- Laboratory for Fluid Dynamics and Thermodynamics, Faculty of Mechanical Engineering; University of Ljubljana; Ljubljana, 1000 Slovenia
| | - Janez Levec
- Laboratory for Chemical Reaction Engineering; National Institute of Chemistry; Ljubljana, 1000 Slovenia
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22
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Decaying Swirl Flow and Particle Behavior through the Hole Cleaning Device for Horizontal Drilling of Fossil Fuel. ENERGIES 2019. [DOI: 10.3390/en12030336] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The hole cleaning device is a powerful application which can effectively slow down the deposition of cuttings during drilling. However, in this complicated swirl flow created by the device, the decay of the swirl flow and the particle behavior are not evident yet. In this paper, the decay of the swirl flow and the particle behavior in the swirl flow field are studied by the Eulerian–Eulerian two-fluid model (TFM) coupled with the kinetic theory of granular flows (KTGF), and sliding mesh (SM) technique for simulating the fluid flow. The results show that the swirl intensity decays exponentially along the flow direction under laminar flow conditions. The swirl flow has a longer acting distance at a higher rotational speed, which can effectively slow down the deposition of cutting particles. The initial swirl intensity of swirl flow induced by the blades increases significantly with the increase of blade height and the decrease of the blade angle. The tangential velocity of the cutting particles in the annulus is more significant near the central region, gradually decreases toward the wall in the radial direction, and rapidly decreases to 0 at the wall surface. The decay rate is negatively correlated with the initial swirl intensity. The results presented here may provide a useful reference for the design of the hole cleaning device.
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23
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24
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Wen J, Sun Q, Sun Z, Gu H. The effect of multi-orifice plate configuration on bubble detachment volume. Chin J Chem Eng 2019. [DOI: 10.1016/j.cjche.2018.09.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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25
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Extended Short-Time Fourier Transform for Ultrasonic Velocity Profiler on Two-Phase Bubbly Flow Using a Single Resonant Frequency. APPLIED SCIENCES-BASEL 2018. [DOI: 10.3390/app9010050] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This study introduces a measurement technique for simultaneous phase-separated velocity in two-phase bubbly flow. The non-invasive technique, based on an Ultrasonic Velocity Profiler (UVP), is used in order to obtain an instantaneous, separate velocity profile for both liquid and bubble. The aim of this paper is to measure each phase velocity at the same time and position it using only a single resonant frequency. To achieve this aim, extended signal processing of the Short-Time Fourier Transform (STFT) is proposed, combining with amplitude classification to analyze Doppler signal influenced from the bubbly flow. The use of developed algorithms allows the instantaneous separation of liquid and bubble velocity profiles. In this work, the developed technique is used to measure the velocity profile of bubbly flow in the vertical pipe, demonstrating the classification of liquid and bubble velocity. To confirm the accuracy of each velocity profile phase, the Particle Image Velocimetry (PIV) method is used for comparison. The results clarify that the proposed method is in good agreement with the PIV measurement. Finally, the effect of void fraction against velocity measurement of both phases was demonstrated.
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Liu L, Keplinger O, Ma T, Ziegenhein T, Shevchenko N, Eckert S, Yan H, Lucas D. Euler-Euler simulation and X-ray measurement of bubble chain in a shallow container filled with liquid metals. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.07.034] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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27
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Shi W, Yang J, Li G, Yang X, Zong Y, Cai X. Modelling of breakage rate and bubble size distribution in bubble columns accounting for bubble shape variations. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2018.05.013] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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28
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Fan W, Yuan L, Qu X. CFD simulation of hydrodynamic behaviors and aerobic sludge granulation in a stirred tank with lower ratio of height to diameter. Biochem Eng J 2018. [DOI: 10.1016/j.bej.2018.05.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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29
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30
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Gao Y, Hong D, Lu H, Cheng Y, Wang L, Li X. Gas holdup and liquid velocity distributions in the up flow jet-loop reactor. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.05.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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31
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Computational fluid-dynamic modeling of the mono-dispersed homogeneous flow regime in bubble columns. NUCLEAR ENGINEERING AND DESIGN 2018. [DOI: 10.1016/j.nucengdes.2018.03.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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32
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Study of Bubble Size, Void Fraction, and Mass Transport in a Bubble Column under High Amplitude Vibration. CHEMENGINEERING 2018. [DOI: 10.3390/chemengineering2020016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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33
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34
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Peña-Monferrer C, Monrós-Andreu G, Chiva S, Martínez-Cuenca R, Muñoz-Cobo J. A CFD-DEM solver to model bubbly flow. Part II: Critical validation in upward vertical pipes including axial evolution. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2017.11.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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35
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A CFD-DEM solver to model bubbly flow. Part I: Model development and assessment in upward vertical pipes. Chem Eng Sci 2018. [DOI: 10.1016/j.ces.2017.11.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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36
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Guo X, Chen C. Simulating the impacts of internals on gas–liquid hydrodynamics of bubble column. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2017.09.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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37
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DEM numerical investigation of wet particle flow behaviors in multiple-spout fluidized beds. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2017.06.025] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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38
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Besagni G, Inzoli F. The effect of liquid phase properties on bubble column fluid dynamics: Gas holdup, flow regime transition, bubble size distributions and shapes, interfacial areas and foaming phenomena. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2017.03.043] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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39
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Guan X, Yang N. CFD simulation of pilot-scale bubble columns with internals: Influence of interfacial forces. Chem Eng Res Des 2017. [DOI: 10.1016/j.cherd.2017.08.019] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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40
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The effect of electrolyte concentration on counter-current gas–liquid bubble column fluid dynamics: Gas holdup, flow regime transition and bubble size distributions. Chem Eng Res Des 2017. [DOI: 10.1016/j.cherd.2016.12.012] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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