Simulation of particulate matter movement characteristics in multiphase flow field system

2021 ◽  
Author(s):  
Zhangliang Xu ◽  
Zhifeng Li ◽  
Maochuan Sun
Keyword(s):  
Particulate Matter ◽  
Flow Field ◽  
Multiphase Flow ◽  
Field System ◽  
Movement Characteristics

The simulation of multiphase flow field in implantable blood pump and analysis of hemolytic capability

2013 ◽  
Vol 25 (4) ◽  
pp. 606-615 ◽  
Author(s):  
Tie-yan Li ◽  
Liang Ye ◽  
Fang-wen Hong ◽  
Deng-cheng Liu ◽  
Hui-min Fan ◽  
...  
Keyword(s):  
Flow Field ◽  
Multiphase Flow ◽  
Blood Pump

scholarly journals The Research on Optimization of the Multiphase Flow Field of Biogas Plant by Using CFD Software

2014 ◽  
Vol 8 (6) ◽  
Author(s):  
Ruyi Huang ◽  
Yan Long ◽  
Tao Luo ◽  
Zili Mei ◽  
Jun Wang ◽  
...  
Keyword(s):  
Flow Field ◽  
Multiphase Flow ◽  
Biogas Plant

Filtration of Particles by a Fiberglass Bed

2013 ◽  
Author(s):  
Graham B. Wallis
Keyword(s):  
Particulate Matter ◽  
Multiphase Flow ◽  
Physical Reality ◽  
Nuclear Plant ◽  
Suspension Flows ◽  
Pore Sizes ◽  
Loss Of Coolant Accident ◽  
Loss Of Coolant ◽  
And Mathematics ◽  
Effective Models

This paper was inspired by interest in assessing the effectiveness with which a bed of fibers, composed of fiberglass released from fractured insulation and deposited on a strainer or grid following a loss-of-coolant-accident (LOCA) in a nuclear plant, would filter and trap particulate matter of various sizes and properties. The limiting structures or random morphology of a fiber bed are analyzed, leading to estimates of the pore sizes of the passages through which the particulate suspension flows, and the likelihood of entrapment is then deduced. This multiphase flow topic appears particularly appropriate for the symposium as it exemplifies Professor Zuber’s characteristic approach of using fundamental mechanics and mathematics to derive approximate and effective models of physical reality.

Multiphase Flow Analysis for Air-Water Bubbly Flow in a Multiphase Pump

2017 ◽  
Author(s):  
Jun-Won Suh ◽  
Young-Seok Choi ◽  
Jin-Hyuk Kim ◽  
Kyoung-Yong Lee ◽  
Won-Gu Joo
Keyword(s):  
Flow Field ◽  
Multiphase Flow ◽  
Gas Phase ◽  
Volume Fraction ◽  
High Reliability ◽  
Bubbly Flow ◽  
Flow Analysis ◽  
Internal Flow ◽  
Hydraulic Performance ◽  
Multiphase Pump

Owing to the exhaustion of onshore resources, the development of resources has been expanded to the deep subsea. As the necessity of offshore plants is steadily increasing, there is an increasing interest in studying multiphase transportation technology. Multiphase pumps differ from single phase pumps in many ways, including performance evaluation, internal flow characteristics, and complex design methods. The primary issue of multiphase flow transport technology is that the characteristics of the internal flow change according to the gas volume fraction (GVF). Many theoretical and experimental analyses have been conducted to understand the mechanism of the internal flow field in multiphase pumps. As advanced computational fluid dynamics (CFD) based on the three-dimensional Reynolds-averaged Navier-Stokes (RANS) equations have become reliable tools, numerical analyses accompanied by experimental research have been applied to investigate the hydraulic performance and internal flow field of multiphase pumps. A number of studies have been conducted to investigate these phenomena. However, the understanding of the detailed mechanisms of phase separation and the forces that occur in the internal flow is not completely clear. This study aimed to establish a multiphase flow analysis method with high reliability when the internal flow of the multiphase pump is bubbly flow. To ensure the reliability of the numerical analysis, the numerical results were compared with the experimental data. Additionally, to analyze the detailed dynamic flow phenomena in the multiphase pump, the effects of various interphase forces acting between the liquid and gas phase and the particle diameter of the gas phase on the hydraulic performance were investigated.

Parcels 2.2 - An increasingly versatile, open-source Lagrangian ocean simulation tool

2021 ◽  
Author(s):  
Christian Kehl ◽  
Daan Reijnders ◽  
Reint Fischer ◽  
Roel Brouwer ◽  
Raoul Schram ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Flow Field ◽  
Open Source ◽  
Case Studies ◽  
Time Scales ◽  
Transport Processes ◽  
Integration Scheme ◽  
Advection Schemes ◽  
Matter Transport ◽  
Major Interest

<p>Lagrangian simulations contribute to the study and comprehension of particulate-matter transport, its dissolution and dispersion in the oceans. Parcels is an open-source, Python-based module for Lagrangian ocean simulations. It is a known tool in the oceanographic community that has been applied to a variety of case studies, such as the tracing of microplastics, the backtracking of ocean floor plankton, and the migration of fish. In this module, particles are advected over time according to a selected flow field, where those particles can represent particulate-matter, biota or other objects with physical, hydrodynamic or biogeochemical properties. In this contribution, we present the substantial extensions of Parcels with respect to usability, physics modelling aspects of particle advection, and computational aspects of versatile, scalable and efficient simulations.</p><p>Specifically, a suite of simple, concise notebook tutorials are tailored to novice user, covering step-by-step simulation setup instructions, whereas self-contained special-issue tutorials address advanced- and proficient user requirements. The considerable expansion of supported OGCM flow field input formats (e.g. MITgcm, POP and MOM5, among others) is a major interest in Parcels v2.2 for our steadily-growing user base.</p><p>The new version further integrates previously-published physics methods into practical lagrangian particle simulations. As such, we implement an analytical advection scheme in addition to existing Runge-Kutta advection schemes. Furthermore, two-dimensional advection-diffusion is upgraded with the Milstein stochastic integration scheme and improved documentation. Those capabilities enable a more consistent modelling of diffusion- and uncertainty-dominated fluid transport processes.</p><p>The case studies performed with previous versions indicate increased computational demands. Simulations are run over long decadal time scales as well as over day-periods with sub-second temporal increments, involving multiple basins and global scenarios, while also modelling increasingly complex particle processes. Overall, our developments respond to the big-data requirements of modern oceanographic studies, which include the aspects of (i) high record volume (i.e. large number of particles), (ii) high dimensionality in multi-variate records, (iii) high spatial resolution, (iv) high temporal resolution, (v) high scenario (i.e. case study) variability and (vi) the prevention of numerical error accumulation over long simulation time scales.</p><p>The novel features of Parcels v2.2 are illustrated on distinct case studies within our contribution, in order to connect the technical features to their impact on particulate-matter ocean transport studies.</p>

Numerical Analyses of the Effects of Bend Orientation on Sand Erosion in Elbows for Annular Flow

2020 ◽  
Author(s):  
Rong Kang ◽  
Haixiao Liu
Keyword(s):  
Numerical Model ◽  
Flow Field ◽  
Multiphase Flow ◽  
Annular Flow ◽  
Oil And Gas ◽  
Particle Model ◽  
Severe Problem ◽  
Hydrocarbon Reservoir ◽  
Sand Erosion ◽  
Sand Particles

Abstract Sand erosion is a severe problem during the transportation of oil and gas in pipelines. The technology of multiphase transportation is widely applied in production, due to its high efficiency and low cost. Among various multiphase flow patterns, annular flow is a common flow pattern in the transportation process. During the transportation of oil and gas from the hydrocarbon reservoir to the final destination, the flow direction of the mixture in pipelines is mainly changed by the bend orientation. The bend orientation obviously changes the distributions of the liquid film and sand particles in annular flow, and this would further affect the sand erosion in elbows. Computational Fluid Dynamics (CFD) is an efficient tool to investigate the issues of sand erosion in multiphase flow. In the present work, a CFD-based numerical model is adopted to analyze the effects of bend orientation on sand erosion in elbows for annular flow. Volume of Fluid (VOF) method is adopted to simulate the flow field of annular flow, and sand particles in the flow field are tracked by employing Discrete Particle Model (DPM) simultaneously. Then, the particle impingement information is combined with the erosion model to obtain the maximum erosion ratio. The present numerical model is validated by experiments conducted in vertical-horizontal upward elbows. Finally, the effects of various bend orientations on the erosion magnitude are investigated according to the numerical simulations.

Analysis of Flow Simulation Based on Particle Movement

2011 ◽  
Vol 204-210 ◽  
pp. 453-457
Author(s):  
Zhen Yu Zhong
Keyword(s):  
Flow Field ◽  
Multiphase Flow ◽  
Fluid Structure Interaction ◽  
Flow Simulation ◽  
Calculation Error ◽  
Particle Movement ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Simulation Based

It is proposed the method based on particle movement to simulate flow in this paper. The force on particles can be obtained from N-S equations, and the calculation error caused by particles’ simulation is discussed. Results show that the method is more effective through the example of flow field affected by the cube. The advantage of this method is to solve problems of multiphase flow and fluid-structure interaction.

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