Relevant bibliographies by topics / Particle trackng simulation

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Academic literature on the topic 'Particle trackng simulation'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Particle trackng simulation"

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Akatsuka, Maiko. "A Feasibility Study on a Monitoring for Seagrass beds Using Environmental DNA." ARPHA Conference Abstracts 4 (March 4, 2021): e65262. https://doi.org/10.3897/aca.4.e65262.

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In order to protect marine resources listed in the SDGs, it is important to conduct surveys to understand the current status and transition of aquatic species such as fish and seagrass. However, the area and frequency of surveys are often limited due to the lack of manpower and cost. Environmental DNA (eDNA) analysis is a method to obtain information of aquatic species in the sea or rivers. The aquatic species are identified by analyzing DNA contained in the sampled water. The eDNA analysis can be utilized as a new and efficient method for investigating aquatic species.The author is developing a monitoring method for seagrass beds using eDNA.Seagrasses are sessile organisms and don't move like a fish, the areas where eDNA is generated are fixed. Therefore, eDNA path in a seagrass beds area can be predicted by flow prediction simulation. The monitoring carries out in the path of eDNA released from seagrass.When there is a correlation between the amount of DNA and the amount of biomass, it is possible to gain knowledge of the amount of biomass from sampling water in the path of eDNA. For example, the changes in the amount of biomass due to growth and withering of seagrass beds can be studied by observing the changes in the amount of DNA. The purpose of this study is to examine the feasibility of the monitoring method using experiments, field surveys and numerical simulations for eDNA.The water tank experiments for 15 months, suggested that the amount of seagrass eDNA is related to the seasonal changes in the biomass of seagrass, which has been grown in the water tank. In the conducted four field surveys, the amount of eDNA tended to be high during times of spring with high amounts of seagrasses. In addition, the decomposition process of eDNA were examined by laboratory experiments using sea water. As a result, seagrass DNA contained in the sampling sea water was degraded and undetected within around 5 days. This result suggests that information obtained from the sampling water reflects biological information within a few days. These results suggest the possibility to estimate the changes in biomass by using eDNA in the sea.And, in the field surveys, it was shown that the amount of eDNA is small, so we have recognized that increasing the amount of sampling water and improvement of the DNA analysis method is an issue.This monitoring method is feasible when the collected eDNA is related to a specific seagrass bed. The feasibility of the method was considered using numerical simulation.In the numerical simulation, a particle tracking method using 10 types of simple bay shapes was used to trace the path of eDNA regarded as a particle.When the eDNA started from multiple positions, it was searched for position where the point where DNA starts and arrives is uniquely determined.As a result, at some observation points, the particles that departed from a specific position was observed without being mixed with particles departing from other starting positions, and this was true for all bay types. In addition, the same tendency could be obtained in calculations using the bathymetry of Ago bay, in Mie prefecture.These suggests that it may be possible to monitor seagrass beds by performing fixed-point observations according to the seagrass beds distribution and bay flow.Since few cases in the sea were conducted, the authors intend to continue the survey for the upcoming years and continue the study under various conditions including numerical analysis.
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Parker, Jason T., та Simo A. Mäkiharju. "Experimentally validated x-ray image simulations of 50 μm x-ray PIV tracer particles". Measurement Science and Technology 33, № 5 (2022): 055301. http://dx.doi.org/10.1088/1361-6501/ac4c0d.

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Abstract We evaluate Beer–Lambert (BL) ray-tracing and Monte Carlo N-Particle (MCNP) photon tracking simulations for prediction and comparison of x-ray imaging system performance. These simulation tools can aid the methodical design of laboratory-scale x-ray particle image velocimetry (XPIV) experiments and tracer particles by predicting image quality. Particle image signal-to-noise ratio (SNR) is used as the metric of system performance. Simulated and experiment data of hollow, silver-coated, glass sphere tracer particles (AGSF-33) are compared. As predicted by the simulations, the AGSF-33 particles are visible with a SNR greater than unity in 100 ms exposure time images, demonstrating their potential as x-ray PIV or particle tracking velocimetry (XPTV) tracers. The BL approach predicts the image contrast, is computationally inexpensive, and enables the exploration of a vast parameter space for system design. MCNP simulations, on the other hand, predict experiment images slightly more accurately, but are more than an order of magnitude more computationally expensive than BL simulations. For most practical XPIV system design applications, the higher computational expense of MCNP is likely not justified by the modest accuracy improvement compared to BL.
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Yin, Chungen. "A novel accurate model for tracking irregular particles: Development, implementation, and impact on biomass combustors." Bioresource Technology 429 (April 18, 2025): 132519. https://doi.org/10.1016/j.biortech.2025.132519.

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Multiphase flows with irregular solid particles are ubiquitous in engineering applications, where particle rotation critically influences dynamics, mixing, phase interactions, and chemical reactions. Conventional particle-tracking models often neglect rotation, focusing solely on translational motion. Recent advances in drag, lift, and torque coefficients for irregular particles, derived from particle-resolved direct numerical simulations, underscore the need of models that account for both translational and rotational motion. This study bridges this gap by developing a novel model that accurately couples these motions. Leveraging drag, lift, and torque coefficients derived from thousands of particle-resolved simulations and an advanced analytical discretization scheme, this model ensures high accuracy, numerical robustness and broad applicability. The model's capabilities are demonstrated through computational fluid dynamics (CFD) simulations of a natural gas/biomass co-fired burner, with biomass particles represented as prolate ellipsoids. The results reveal that biomass particles predominantly rotate around their minor axes, with rotation intensifying as particle size decreases. For equi-volume diameters decreasing from 16.5 mm to 165 µm, peak angular velocities around minor axes surge from approximately 4 to 6,600 rad/s, while those around major axes remain 1–2 orders of magnitude lower, rising from 0.03 to 71 rad/s. Compared to conventional models, this model provides unprecedented insights into particle rotation and significantly improves simulation outcomes without compromising computational efficiency. Notably, it extends particle residence times (∼20 % longer in the 10-meter-long burner chamber), enhances mixing and lateral particle dispersion, and intensifies phase interactions, making it a valuable tool for simulating particle-laden multiphase flows in engineering applications. © 2025 The Author(s)
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Chang, L., G. Bourianoff, B. Cole, and S. Machida. "A Parallel Implementation of Particle Tracking with Space Charge Effects on an Intel iPSC/860." Scientific Programming 2, no. 3 (1993): 37–47. http://dx.doi.org/10.1155/1993/397679.

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Particle-tracking simulation is one of the scientific applications that is well suited to parallel computations. At the Superconducting Super Collider, it has been theoretically and empirically demonstrated that particle tracking on a designed lattice can achieve very high parallel efficiency on a MIMD Intel iPSC/860 machine. The key to such success is the realization that the particles can be tracked independently without considering their interaction. The perfectly parallel nature of particle tracking is broken if the interaction effects between particles are included. The space charge introduces an electromagnetic force that will affect the motion of tracked particles in three-dimensional (3-D) space. For accurate modeling of the beam dynamics with space charge effects, one needs to solve 3-D Maxwell field equations, usually by a particle-in-cell (PIC) algorithm. This will require each particle to communicate with its neighbor grids to compute the momentum changes at each time step. It is expected that the 3-D PIC method will degrade parallel efficiency of particle-tracking implementation on any parallel computer. In this paper, we describe an efficient scheme for implementing particle tracking with space charge effects on an INTEL iPSC/860 machine. Experimental results show that a parallel efficiency of 75% can be obtained.
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Du, Sichun, and Qing Deng. "Unscented Particle Filter Algorithm Based on Divide-and-Conquer Sampling for Target Tracking." Sensors 21, no. 6 (2021): 2236. http://dx.doi.org/10.3390/s21062236.

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Unscented particle filter (UPF) struggles to completely cover the target state space when handling the maneuvering target tracing problem, and the tracking performance can be affected by the low sample diversity and algorithm redundancy. In order to solve this problem, the method of divide-and-conquer sampling is applied to the UPF tracking algorithm. By decomposing the state space, the descending dimension processing of the target maneuver is realized. When dealing with the maneuvering target, particles are sampled separately in each subspace, which directly prevents particles from degeneracy. Experiments and a comparative analysis were carried out to comprehensively analyze the performance of the divide-and-conquer sampling unscented particle filter (DCS-UPF). The simulation result demonstrates that the proposed algorithm can improve the diversity of particles and obtain higher tracking accuracy in less time than the particle swarm algorithm and intelligent adaptive filtering algorithm. This algorithm can be used in complex maneuvering conditions.
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Leenaarts, Jorrit. "Tracing the evolution of radiation-MHD simulations of solar and stellar atmospheres in the Lagrangian frame." Astronomy & Astrophysics 616 (August 2018): A136. http://dx.doi.org/10.1051/0004-6361/201833176.

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Context. Radiation magnetohydrodynamics (radiation-MHD) simulations have become a standard tool for investigating the physics of solar and stellar atmospheres. Aims. The aim of this paper is to present a method that allows the efficient and accurate analysis of flows in such simulations in the Lagrangian frame. Methods. This paper presents a method that allows the construction of pathlines given a seed point that can be chosen freely at any location and at any time during the simulation where the simulation state is stored. The method is based on passive tracer particles. Through injection of particles in expanding regions the occurrence of particle-free volumes is avoided, even in the case of strongly compressive flows. Results. The method was implemented in the solar and stellar atmosphere simulation code Bifrost. It is efficient and accurate. As examples I present an analysis of a gas parcel in the convection zone and a particle in the solar transition region.
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LAVEZZO, V., A. SOLDATI, S. GERASHCHENKO, Z. WARHAFT, and L. R. COLLINS. "On the role of gravity and shear on inertial particle accelerations in near-wall turbulence." Journal of Fluid Mechanics 658 (June 15, 2010): 229–46. http://dx.doi.org/10.1017/s0022112010001655.

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Recent experiments in a turbulent boundary layer by Gerashchenko et al. (J. Fluid Mech., vol. 617, 2008, pp. 255–281) showed that the variance of inertial particle accelerations in the near-wall region increased with increasing particle inertia, contrary to the trend found in homogeneous and isotropic turbulence. This behaviour was attributed to the non-trivial interaction of the inertial particles with both the mean shear and gravity. To investigate this issue, we perform direct numerical simulations of channel flow with suspended inertial particles that are tracked in the Lagrangian frame of reference. Three simulations have been carried out considering (i) fluid particles, (ii) inertial particles with gravity and (iii) inertial particles without gravity. For each set of simulations, three particle response times were examined, corresponding to particle Stokes numbers (in wall units) of 0.9, 1.8 and 11.8. Mean and r.m.s. profiles of particle acceleration computed in the simulation are in qualitative (and in several cases quantitative) agreement with the experimental results, supporting the assumptions made in the simulations. Furthermore, by comparing results from simulations with and without gravity, we are able to isolate and quantify the significant effect of gravitational settling on the phenomenon.
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Perin, Rayhaan, Katie Cole, Michael R. van Heerden, et al. "On the Ability of Positron Emission Particle Tracking (PEPT) to Track Turbulent Flow Paths with Monte Carlo Simulations in GATE." Applied Sciences 13, no. 11 (2023): 6690. http://dx.doi.org/10.3390/app13116690.

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Positron emission particle tracking (PEPT) has offered important insights into the internal dynamics of multiphase flows. High precision and frequency measurements of the location of the tracer particle are required to resolve individual eddies at the millimetre scale or smaller. To explore the potential of PEPT to perform these measurements, a model was developed of the Siemens ECAT “EXACT3D” HR++ positron emission tomography (PET) scanner at the PEPT Cape Town facility in South Africa with the software Geant4 Application for Tomographic Emission (GATE) and was used to generate Lagrangian tracks from simulations of moving tracer particles. The model was validated with measurements from both experiment and simulation and was extended to two virtual scenarios inspired by turbulent flows. The location data from the simulation accurately captured linear portions of an oscillating path up to high speeds of 25 m s−1; however, tracking tended to undercut the turning points due to the high tracer acceleration. For a particle moving on a spiral path of decreasing radius, the location data tracked the path above a radius of 2.0 mm with an uncertainty equivalent to the radius of the tracer particle, 300 μm. Improvements to the measurement are required to track sub-millimetre flow structures, such as the application of PET scanners with higher spatial resolution and upgrades to the sampling processes used in location algorithms.
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Zhang, Lieping, Jinghua Nie, Shenglan Zhang, Yanlin Yu, Yong Liang, and Zuqiong Zhang. "Research on the Particle Filter Single-Station Target Tracking Algorithm Based on Particle Number Optimization." Journal of Electrical and Computer Engineering 2021 (September 4, 2021): 1–8. http://dx.doi.org/10.1155/2021/2838971.

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Given that the tracking accuracy and real-time performance of the particle filter (PF) target tracking algorithm are greatly affected by the number of sampled particles, a PF target tracking algorithm based on particle number optimization under the single-station environment was proposed in this study. First, a single-station target tracking model was established, and the corresponding PF algorithm was designed. Next, a tracking simulation experiment was carried out on the PF target tracking algorithm under different numbers of particles with the root mean square error (RMSE) and filtering time as the evaluation indexes. On this basis, the optimal number of particles, which could meet the accuracy and real-time performance requirements, was determined and taken as the number of particles of the proposed algorithm. The MATLAB simulation results revealed that compared with the unscented Kalman filter (UKF), the single-station PF target tracking algorithm based on particle number optimization not only was of high tracking accuracy but also could meet the real-time performance requirement.
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Heus, Thijs, Gertjan van Dijk, Harm J. J. Jonker, and Harry E. A. Van den Akker. "Mixing in Shallow Cumulus Clouds Studied by Lagrangian Particle Tracking." Journal of the Atmospheric Sciences 65, no. 8 (2008): 2581–97. http://dx.doi.org/10.1175/2008jas2572.1.

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Abstract Mixing between shallow cumulus clouds and their environment is studied using large-eddy simulations. The origin of in-cloud air is studied by two distinct methods: 1) by analyzing conserved variable mixing diagrams (Paluch diagrams) and 2) by tracing back cloud-air parcels represented by massless Lagrangian particles that follow the flow. The obtained Paluch diagrams are found to be similar to many results in the literature, but the source of entrained air found by particle tracking deviates from the source inferred from the Paluch analysis. Whereas the classical Paluch analysis seems to provide some evidence for cloud-top mixing, particle tracking shows that virtually all mixing occurs laterally. Particle trajectories averaged over the entire cloud ensemble also clearly indicate the absence of significant cloud-top mixing in shallow cumulus clouds.
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Dissertations / Theses on the topic "Particle trackng simulation"

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Brighton, Marc. "Tracing particle movement for simulation of light history and algal growth in airlift photobioreactors using Positron Emission Particle Tracking (PEPT)." Doctoral thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/27112.

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Sun, Yuanyuan. "Water Quality Simulation with Particle Tracking Method." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-129265.

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In the numerical simulation of fluid flow and solute transport in porous media, finite element method (FEM) has long been utilized and has been proven to be efficient. In this work, an alternative approach called random walk particle tracking (RWPT) method is proposed. In this method, a finite number of particles represent the distribution of a solute mass. Each particle carries a certain fraction of the total mass and moves in the porous media according to the velocity field. The proposed RWPT model is established on a scientific software platform OpenGeoSys (OGS), which is an open source initiative for numerical simulation of thermo-hydro-mechanical-chemical (THMC) processes in porous media. The flow equation is solved using finite element method in OGS. The obtained hydraulic heads are numerically differentiated to obtain the velocity field. The particle tracking method does not solve the transport equation directly but deals with it in a physically stochastic manner by using the velocity field. Parallel computing concept is included in the model implementation to promote computational efficiency. Several benchmarks are developed for the particle tracking method in OGS to simulate solute transport in porous media and pore space. The simulation results are compared to analytical solutions and other numerical methods to test the presented method. The particle tracking method can accommodate Darcy flow as it is the main consideration in groundwater flow. Furthermore, other flow processes such as Forchheimer flow or Richards flow can be combined with as well. Two applications indicate the capability of the method to handle theoretical real-world problems. This method can be applied as a tool to elicit and discern the detailed structure of evolving contaminant plumes<br>Bei der numerischen Simulation von Strömung und Stofftransport in porösen Medien hat die Nutzung der Finite-Elemente-Methode (FEM) eine lange Tradition und wird sich als effizient erweisen. In dieser Arbeit wird ein alternativer Ansatz, die random walk particle tracking (RWPT) Methode vorgeschlagen. Bei diesem Verfahren stellt eine endliche Anzahl von Partikeln die Verteilung eines gelösten Stoffes dar. Jedes Teilchen trägt einen bestimmten Bruchteil der Gesamtmasse und bewegt sich in den porösen Medien gemäß des Geschwindigkeitsfeldes. Das vorgeschlagene RWPT Modell basiert auf der wissenschaftlichen Softwareplattform OpenGeoSys (OGS), die eine Open-Source-Initiative für die numerische Simulation thermo-hydro-mechanisch-chemischen (THMC) in porösen Medien darstellt. Die Strömungsgleichung wird in OGS mit der Finite-Elemente-Methode gelöst. Der Grundwasserstand wird numerisch berechnet, um das Geschwindigkeitsfeld zu erhalten. Die Partikel-Tracking-Methode löst die Transportgleichung nicht direkt, sondern befasst sich mit ihr in einer physikalisch stochastische Weise unter Nutzung des Geschwindigkeitsfeldes. Zur Berücksichtigung der Recheneffizienz ist ein Parallel Computing-Konzept in der Modell-Implementierung enthalten. Zur Simulation des Stofftransports in porösen Medien und im Porenraum wurden mehrere Benchmarks für die Partikel-Tracking-Methode in OGS entwickelt. Die Simulationsergebnisse werden mit analytischen Lösungen und andere numerische Methoden verglichen, um die Aussagefähigkeit des vorgestellten Verfahrens zu bestätigen. Mit der Partikel-Tracking-Methode kann die Darcy-Strömung gelöst werden, die das wichtigste Kriterium in der Grundwasserströmung ist. Außerdem bewältigt die Methode auch andere Strömungsprozesse, wie die Forchheimer-Strömung und die Richards-Strömung. Zwei Anwendungen zeigen die Leistungsfähigkeit der Methode bei der prinzipiellen Handhabung von Problemen der realen Welt. Die Methode kann als ein Instrument zur Aufdeckung Erkennung der detaillierte Struktur von sich entwickelnden Schadstofffahnenangewendet werden
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Borovies, Drew A. "Particle filter based tracking in a detection sparse discrete event simulation environment." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion.exe/07Mar%5FBorovies.pdf.

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Thesis (M.S. in Modeling, Virtual Environment, and Simulation (MOVES))--Naval Postgraduate School, March 2007.<br>Thesis Advisor(s): Christian Darken. "March 2007." Includes bibliographical references (p. 115). Also available in print.
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Hanafy, Shalaby Hemdan. "ON THE POTENTIAL OF LARGE EDDY SIMULATION TO SIMULATE CYCLONE SEPARATORS." Doctoral thesis, Universitätsbibliothek Chemnitz, 2007. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200700133.

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This study was concerned with the most common reverse flow type of cyclones where the flow enters the cyclone through a tangential inlet and leaves via an axial outlet pipe at the top of the cyclone. Numerical computations of two different cyclones were based on the so-called Stairmand cyclone. The difference in geometry between these two cyclones was basically characterized by the geometrical swirl number Sg of 3.5 and 4. Turbulent secondary flows inside a straight square channel have been studied numerically by using Large Eddy Simulation (LES) in order to verify the implementation process. Prandtl’s secondary motion calculated by LES shows satisfying agreement with both, Direct Numerical Simulation (DNS) and experimental results. Numerical calculations were carried out at various axial positions and at the apex cone of a gas cyclone separator. Two different NS-solvers (a commercial one, and a research code), based on a pressure correction algorithm of the SIMPLE method have been applied to predict the flow behavior. The flow was assumed as unsteady, incompressible and isothermal. A k − epsilon turbulence model has been applied first using the commercial code to investigate the gas flow. Due to the nature of cyclone flows, which exhibit highly curved streamlines and anisotropic turbulence, advanced turbulence models such as RSM (Reynolds Stress Model) and LES (Large Eddy Simulation) have been used as well. The RSM simulation was performed using the commercial package CFX4.4, while for the LES calculations the research code MISTRAL/PartFlow-3D code developed in our multiphase research group has been applied utilizing the Smagorinsky model. It was found that the k − epsilon model cannot predict flow phenomena inside the cyclone properly due to the strong curvature of the streamlines. The RSM results are comparable with LES results in the area of the apex cone plane. However, the application of the LES reveals qualitative agreement with the experimental data, but requires higher computer capacity and longer running times than RSM. These calculations of the continuous phase flow were the basis for modeling the behavior of the solid particles in the cyclone separator. Particle trajectories, pressure drop and the cyclone separation efficiency have been studied in some detail. This thesis is organized into five chapters. After an introduction and overview, chapter 2 deals with continuous phase flow turbulence modeling including the governing equations. The emphasis will be based on LES modelling. Furthermore, the disperse phase motion is treated in chapter 3. In chapter 4, the validation process of LES implementation with channel flow is presented. Moreover, prediction profiles of the gas flow are presented and discussed. In addition, disperse phase flow results are presented and discussed such as particle trajectories; pressure drop and cyclone separation efficiency are also discussed. Chapter 5 summarizes and concludes the thesis.
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Sharma, Gaurav. "Direct numerical simulation of particle-laden turbulence in a straight square duct." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/155.

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Particle-laden turbulent flow through a straight square duct at Reτ = 300 is studied using direct numerical simulation (DNS) and Lagrangian particle tracking. A parallelized 3-D particle tracking direct numerical simulation code has been developed to perform the large-scale turbulent particle transport computations reported in this thesis. The DNS code is validated after demonstrating good agreement with the published DNS results for the same flow and Reynolds number. Lagrangian particle transport computations are carried out using a large ensemble of passive tracers and finite-inertia particles and the assumption of one-way fluid-particle coupling. Using four different types of initial particle distributions, Lagrangian particle dispersion, concentration and deposition are studied in the turbulent straight square duct. Particles are released in a uniform distribution on a cross-sectional plane at the duct inlet, released as particle pairs in the core region of the duct, distributed randomly in the domain or distributed uniformly in planes at certain heights above the walls. One- and two-particle dispersion statistics are computed and discussed for the low Reynolds number inhomogeneous turbulence present in a straight square duct. New detailed statistics on particle number concentration and deposition are also obtained and discussed.
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Nerisson, Philippe. "Modélisation du transfert des aérosols dans un local ventilé." Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT001H/document.

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La protection des opérateurs et la surveillance des ambiances de travail en cas de mise en suspension d’aérosols radioactifs, dans un local ventilé d’une installation nucléaire, requièrent la connaissance de l’évolution spatio-temporelle de la concentration en particules, en tout point du local considéré. L’estimation précise de cette concentration a fait l’objet du développement de modèles spécifiques de transport et de dépôt d’aérosols dans un local ventilé, dans le cadre d’une thèse cofinancée par l’IRSN et EDF, en collaboration avec l’IMFT. Un formalisme eulérien de glissement est utilisé pour modéliser le transport des aérosols. Celui-ci est basé sur une unique équation de transport des concentrations en particules (« Diffusion-Inertia model »). L’étude spécifique du dépôt d’aérosols en parois a permis de développer un modèle de couche limite, qui consiste à déterminer précisément le flux de dépôt de particules en parois, quels que soient le régime de dépôt et l’orientation de la surface considérée. Les modèles de transport et de dépôt finalement retenus ont été implantés dans Code_Saturne, un logiciel de mécanique des fluides. La validation de ces modèles a été effectuée à partir de données de la littérature en géométries simples, puis sur la base de campagnes expérimentales de traçage dans des locaux ventilés d’environ 30 m&#179; et 1500 m&amp;#179<br>When particulate radioactive contamination is likely to become airborne in a ventilated room, assessment of aerosol concentration in every point of this room is important, in order to ensure protection of operators and supervision of workspaces. Thus, a model of aerosol transport and deposition has been developed as part of a project started with IRSN, EDF and IMFT. A simplified eulerian model, called “diffusion-inertia model” is used for particle transport. It contains a single transport equation of aerosol concentration. The specific study of deposition on walls has permitted to develop a boundary condition approach, which determines precisely the particle flux towards the wall in the boundary layer, for any deposition regime and surface orientation.The final transport and deposition models retained have been implemented in a CFD code called Code_Saturne. These models have been validated according to literature data in simple geometries and tracing experiments in ventilated rooms, which have been carried out in 30 m&#179; and 1500 m&#179; laboratory rooms
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Pachler, Klaus, Thomas Frank, and Klaus Bernert. "Simulation of Unsteady Gas-Particle Flows including Two-way and Four-way Coupling on a MIMD Computer Architectur." Universitätsbibliothek Chemnitz, 2002. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200200352.

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The transport or the separation of solid particles or droplets suspended in a fluid flow is a common task in mechanical and process engineering. To improve machinery and physical processes (e.g. for coal combustion, reduction of NO_x and soot) an optimization of complex phenomena by simulation applying the fundamental conservation equations is required. Fluid-particle flows are characterized by the ratio of density of the two phases gamma=rho_P/rho_F, by the Stokes number St=tau_P/tau_F and by the loading in terms of void and mass fraction. Those numbers (Stokes number, gamma) define the flow regime and which relevant forces are acting on the particle. Dependent on the geometrical configuration the particle-wall interaction might have a heavy impact on the mean flow structure. The occurrence of particle-particle collisions becomes also more and more important with the increase of the local void fraction of the particulate phase. With increase of the particle loading the interaction with the fluid phase can not been neglected and 2-way or even 4-way coupling between the continous and disperse phases has to be taken into account. For dilute to moderate dense particle flows the Euler-Lagrange method is capable to resolve the main flow mechanism. An accurate computation needs unfortunately a high number of numerical particles (1,...,10^7) to get the reliable statistics for the underlying modelling correlations. Due to the fact that a Lagrangian algorithm cannot be vectorized for complex meshes the only way to finish those simulations in a reasonable time is the parallization applying the message passing paradigma. Frank et al. describes the basic ideas for a parallel Eulererian-Lagrangian solver, which uses multigrid for acceleration of the flow equations. The performance figures are quite good, though only steady problems are tackled. The presented paper is aimed to the numerical prediction of time-dependend fluid-particle flows using the simultanous particle tracking approach based on the Eulerian-Lagrangian and the particle-source-in-cell (PSI-Cell) approach. It is shown in the paper that for the unsteady flow prediction efficiency and load balancing of the parallel numerical simulation is an even more pronounced problem in comparison with the steady flow calculations, because the time steps for the time integration along one particle trajectory are very small per one time step of fluid flow integration and so the floating point workload on a single processor node is usualy rather low. Much time is spent for communication and waiting time of the processors, because for cold flow particle convection not very extensive calculations are necessary. One remedy might be a highspeed switch like Myrinet or Dolphin PCI/SCI (500 MByte/s), which could balance the relative high floating point performance of INTEL PIII processors and the weak capacity of the Fast-Ethernet communication network (100 Mbit/s) of the Chemnitz Linux Cluster (CLIC) used for the presented calculations. Corresponding to the discussed examples calculation times and parallel performance will be presented. Another point is the communication of many small packages, which should be summed up to bigger messages, because each message requires a startup time independently of its size. Summarising the potential of such a parallel algorithm, it will be shown that a Beowulf-type cluster computer is a highly competitve alternative to the classical main frame computer for the investigated Eulerian-Lagrangian simultanous particle tracking approach.
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Winter, Henry deGraffenried III. "Combining hydrodynamic modeling with nonthermal test particle tracking to improve flare simulations." Thesis, Montana State University, 2009. http://etd.lib.montana.edu/etd/2009/winter/WinterH0509.pdf.

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Solar flares remain a subject of intense study in the solar physics community. These huge releases of energy on the Sun have direct consequences for humans on Earth and in space. The processes that impart tremendous amounts of energy are not well understood. In order to test theoretical models of flare formation and evolution, state of the art, numerical codes must be created that can accurately simulate the wide range of electromagnetic radiation emitted by flares. A direct comparison of simulated radiation to increasingly detailed observations will allow scientists to test the validity of theoretical models. To accomplish this task, numerical codes were developed that can simulate both the thermal and nonthermal components of a flaring plasma, their interactions, and their emissions. The HYLOOP code combines a hydrodynamic equation solver with a nonthermal particle tracking code in order to simulate the thermal and nonthermal aspects of a flare. A solar flare was simulated using this new code with a static atmosphere and with a dynamic atmosphere, to illustrate the importance of considering hydrodynamic effects on nonthermal beam evolution. The importance of density gradients in the evolution of nonthermal electron beams was investigated by studying their effects in isolation. The importance of the initial pitch-angle cosine distribution to flare dynamics was investigated. Emission in XRT filters were calculated and analyzed to see if there were soft X-ray signatures that could give clues to the nonthermal particle distributions. Finally the HXR source motions that appeared in the simulations were compared to real observations of this phenomena.
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Elmasdotter, Ajla. "An Interactive Eye-tracking based Adaptive Lagrangian Water Simulation Using Smoothed Particle Hydrodynamics." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281978.

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Many water animations and simulations usually depend on time consuming algorithms that create realistic water movement and visualization. However, the intrigue for realistic, real-time and interactive simulations is steadily growing for, among others, the game and Virtual Reality industry. A common method used for particle based water simulations is the Smoothed Particle Hydrodynamics, which also allows for refinement and adaptivity that focuses the computational power on the parts of the simulation that require it the most. This study suggests an eye-tracking based adaptive method for water simulations using Smoothed Particle Hydrodynamics, which is based on where a user is looking, with the assumption that what a user cannot see nor perceive is not of a greater importance. Its performance is evaluated by comparing the suggested method to a surface based adaptive method, by measuring frames per second, the amount of particles in the simulation, and the execution time . It is concluded that the eye-tracking based adaptive method performs better than the surface based adaptive method in four out of five scenarios and should hence be considered a method to further evaluate and possibly use when creating applications or simulations requiring real-time water simulations, with the restriction that eye-tracking hardware would be necessary for the method to work.<br>Flertalet vattensimuleringar samt animeringar brukar ofta vara beroende av tidskrävande algoritmer som skapar realistiskt utséende och realistiska rörelser. Däremot har intresset för realistiska, interaktiva realtidssimuleringar och liknande applikationer börjat växa inom, bland annat, spel- och virtual-realityindustrin. Smoothed Particle Hydrodynamics är en vanlig metod som används inom partikelbaserade vattensimuleringar, som även tillåter adaptivitet vilket fokuserar resurserna i datorn på de delar av simuleringen som kräver dem mest. Denna studie föreslår en eye-trackingbaserad adaptiv metod för vattensimuleringar som använder sig av Smoothed Particle Hydrodynamics, som fokuserar adaptiviteten där användaren tittar i simuleringen med antagandet att det en användare inte kan uppfatta eller se inte är av relevans. Metodens prestanda evalueras genom jämförelse mot en adaptiv method som fokuserar adaptiviteten på vattnets yta och objekt runt vattnet, genom att mäta antalet renderade bilder per sekund, antalet partiklar i simulationen, samt exikveringstiden. Slutsatsen är att den eye-trackingbaserade adaptiva metoden presterar bättre än metoden som fokuserar adaptiviteten på vattnets yta i fyra av fem scenarion, och bör därför ses som en metod som har potential att utforskas vidare samt en metod som kan användas vi realtidssimuleringar av vatten, med begränsningen att hårdvara för eye-tracking behövs.
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Contro, Alessandro. "Multi-sensing Data Fusion: Target tracking via particle filtering." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/16835/.

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In this Master's thesis, Multi-sensing Data Fusion is firstly introduced with a focus on perception and the concepts that are the base of this work, like the mathematical tools that make it possible. Particle filters are one class of these tools that allow a computer to perform fusion of numerical information that is perceived from real environment by sensors. For this reason they are described and state of the art mathematical formulas and algorithms for particle filtering are also presented. At the core of this project, a simple piece of software has been developed in order to test these tools in practice. More specifically, a Target Tracking Simulator software is presented where a virtual trackable object can freely move in a 2-dimensional simulated environment and distributed sensor agents, dispersed in the same environment, should be able to perceive the object through a state-dependent measurement affected by additive Gaussian noise. Each sensor employs particle filtering along with communication with other neighboring sensors in order to update the perceived state of the object and track it as it moves in the environment. The combination of Java and AgentSpeak languages is used as a platform for the development of this application.
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Books on the topic "Particle trackng simulation"

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Adam, Marion A. Mixing simulations based on particle tracking data. UMIST, 1996.

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Cunningham, William L. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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L, Cunningham William. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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L, Cunningham William. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Cunningham, William L. Evaluation of ground-water flow by particle tracking, Wright-Patterson Air Force Base, Ohio. U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Paretzke, H. Simulation von Elektronenspuren im Energiebereich 0,01-10 keV in Wasserdampf. Gesellschaft für Strahlen- und Umweltforschung, 1988.

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Geological Survey (U.S.) and National Water-Quality Assessment Program (U.S.), eds. Simulations of groundwater flow and particle-tracking analysis in the zone of contribution to a public-supply well in San Antonio, Texas. U.S. Dept. of the Interior, U.S. Geological Survey, 2011.

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Crandall, Christy A. Simulations of groundwater flow and particle tracking analysis in the area contributing recharge to a public-supply well near Tampa, Florida, 2002-05. U.S. Dept. of the Interior, U.S. Geological Survey, 2009.

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United States. Department of Energy, USGS Georgia Water Science Center, and Geological Survey (U.S.), eds. Simulation and particle-tracking analysis of ground-water flow near the Savannah River site, Georgia and South Carolina, 2002, and for selected ground-water management scenarios, 2002 and 2020. U.S. Geological Survey, 2006.

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Hydrodynamic simulation and particle-tracking techniques for identification of source areas to public-water intakes on the St. Clair-Detroit River Waterway in the Great Lakes basin. U.S. Geological Survey, 2004.

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Book chapters on the topic "Particle trackng simulation"

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Méot, François. "Classical Cyclotron." In Particle Acceleration and Detection. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-59979-8_3.

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AbstractThis chapter introduces the classical cyclotron, and the theoretical material needed for the simulation exercises. It begins with a brief reminder of the historical context, and continues with beam optics and with the principles and methods which the classical cyclotron leans on, including ion orbit in a cyclic accelerator, weak focusing and periodic transverse motion, revolution period and isochronism, voltage gap and resonant acceleration, the cyclotron equation. The simulation of a cyclotron dipole will either resort to an analytical model of the field: the optical element DIPOLE, or will resort to using a field map together with the keyword TOSCA to handle it and raytrace through. An additional accelerator device needed in the exercises, CAVITE, simulates a local oscillating voltage. Running a simulation generates a variety of output files, including the execution listing zgoubi.res, always, and other zgoubi.plt, zgoubi.CAVITE.out, zgoubi.MATRIX.out, etc., aimed at looking up program execution, storing data for post-treatment, producing graphs, etc. Additional keywords are introduced as needed, such as the matching procedure FIT[2]; FAISCEAU and FAISTORE which log local particle data in zgoubi.res or in a user defined ancillary file; MARKER; the “system call” command SYSTEM; REBELOTE, a ‘do loop’; and some more. This chapter introduces in addition to spin motion in accelerator magnets; dedicated simulation exercises include a variety of keywords: SPNTRK, a request for spin tracking, SPNPRT or FAISTORE, to log spin vector components in respectively zgoubi.res or some ancillary file, and the “IL = 2” flag to log stepwise particle data, including spin vector, in zgoubi.plt file. Simulations include deriving transport matrices, beam matrix, optical functions and their transport, from rays, using MATRIX and TWISS keywords.
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Roettger, Stefan, Martin Schulz, Wolf Bartelheimer, and Thomas Ertlt. "Automotive Soiling Simulation Based On Massive Particle Tracing." In Eurographics. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6215-6_33.

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Wegmann, Tim, Matthias Meinke, and Wolfgang Schröder. "Dynamic Load Balancing of a Coupled Lagrange Particle Tracking Solver for Direct Injection Engine Application." In Sustained Simulation Performance 2022. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-41073-4_4.

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Asai, M., K. Amako, J. Apostolakis, H. Kurasige, T. Sasaki, and J. P. Wellisch. "Design of Tracking and Generic Processes in Geant4." In Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-18211-2_179.

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Nikjoo, H., S. Uehara, I. K. Khvostunov, and F. A. Cucinotta. "Track Structure in Molecular Radiation Biology." In Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-18211-2_40.

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Clercx, H. J. H., V. Lavezzo, and F. Toschi. "Direct Numerical Simulation and Lagrangian Particle Tracking in turbulent Rayleigh Bénard convection." In ERCOFTAC Series. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2482-2_58.

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Salvetti, Maria-Vittoria, Cristian Marchioli, and Alfredo Soldati. "Lagrangian Tracking of Heavy Particles in Large-Eddy Simulation of Turbulent Channel Flow." In Quality and Reliability of Large-Eddy Simulations. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8578-9_29.

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Emfietzoglou, D. "Inelastic Cross-Sections for Use in Monte Carlo Track Structure Codes." In Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-18211-2_43.

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Dingfelder, M., and W. Friedland. "Basic Data for Track Structure Simulations: Electron Interaction Cross-Sections in Liquid Water." In Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-18211-2_42.

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Corre, Cédric, Jean-Luc Estivalezes, Stéphane Vincent, Olivier Simonin, and Stéphane Glockner. "Simulation of a Fluidized Bed Using a Hybrid Eulerian-Lagrangian Method for Particle Tracking." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14139-3_12.

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Conference papers on the topic "Particle trackng simulation"

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Zagnoli, Daniel, Robin Prenter, Ali Ameri, and Jeffrey P. Bons. "Numerical Study of Deposition in a Full Turbine Stage Using Steady and Unsteady Methods." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-43613.

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A computational study was performed to investigate deposition phenomena in a high-pressure turbine stator and rotor stage. Steady mixing-plane and unsteady sliding mesh calculations were utilized. 3D, steady and unsteady RANS calculations were performed in conjunction with published experiments completed on identical turbine geometry in order to extract boundary conditions and to validate flow solutions. Particles were introduced into the flow domain and deposition was predicted using a Lagrangian particle tracking method with the critical viscosity model to predict deposition. For the steady method, in order to track particles from the mixing plane through the blade domain, particle positions were saved after passing through the vane domain and inserted into the blade domain using two different methods: averaged and preserved. Both methods yielded nearly identical results. For the unsteady simulation particles were tracked through a sliding mesh interface with particle position, velocity, and temperature preserved at exit of the vane domain and inlet of the blade domain. Deposition results for the steady mixing plane using both particle averaging techniques and unsteady sliding interface were compared for particles of different sizes. Large particles produced localized impact and deposit zones near the hub and tip of the pressure surface for all methods. Steady methods overpredicted impacts and deposits relative to unsteady methods by averaging out discrete unsteady vane wake motion which caused particle motion towards blade surfaces.
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Bobzin, K., N. Bagcivan, D. Parkot, and I. Petkovic. "Simulation of PYSZ-Particles Impact and Solidification in Atmospheric Plasma Spraying Coating Process." In ITSC2008, edited by B. R. Marple, M. M. Hyland, Y. C. Lau, C. J. Li, R. S. Lima, and G. Montavon. Verlag für Schweißen und verwandte Verfahren DVS-Verlag GmbH, 2008. http://dx.doi.org/10.31399/asm.cp.itsc2008p0548.

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Abstract In this work numerical simulation results of the impact and solidification of molten PYSZ-particles on flat and rough substrate surfaces are presented. This investigation deals with the effect of the particle state prior impact, particle diameter and substrate roughness, on splats spreading behaviour and final morphology. The particles have a diameter range between 20 – 60 µm. Particle initial conditions prior to impact: speed, temperature and melting state, are taken from previous simulation modelling approaches of particle accelerating and heating. Simulations of fluid dynamics, heat transfer and solidification during the particle impact were performed using computational fluid dynamics. Tracing of free surfaces determinates volume of fluid method. Heat flux at the particle-substrate interface and temperature dependent liquid phase viscosity of PYSZ are studied and discussed. Simulated splat morphologies are compared with experimentally obtained splats.
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Zhang, Lanyue, Fabian Weigler, Zhaochen Jiang, et al. "Investigation of 3D particle flow in a flighted rotating drum." In 21st International Drying Symposium. Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/ids2018.2018.7389.

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To validate the particle motion in flighted rotating drum (FRD), a laboratory FRD was built and operated at 15% filling degree and 10 rpm rotation speed using plastic balls as bed material. The particle tracking velocimetry (PTV) and magnetic particle tracking (MPT) techniques were applied to investigate the particle flow behavior. The 3D particle flow was modeled by Discrete Element Method (DEM) with LIGGGHTS. The height of the barycenter of all overall particles and particle instantaneous velocity were calculated from PTV and DEM data. The 3D time-averaged particle velocity distributions obtained from MPT experiment and DEM simulation were compared.Keywords: flighted rotating drum; particle motion; particle tracking velocimetry; magnetic particle tracking; DEM simulation.
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Mirzaee, Iman, Majid Charmchi, Hongwei Sun, and Minghao Song. "Micro Scale Air Sampling Devices: A Numerical Study." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-68061.

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Numerical simulation of particle collection in a newly developed microfluidic air sampling device is presented in this study. In the simulations, the air carrying the particles is injected into a liquid column to form a bubble. The bubble then releases from the air inlet following with interface deformations and rises in the liquid column carrying the particles inside. During this bubbling process, the particles having impact with the bubble interface are collected in the extraction liquid. For the simulations, Navier-Stokes equations are solved along with piecewise-linear Volume-of-Fluid (VOF) method for tracking the interface deformations. The particle trajectories are predicted on a Lagrangian frame of reference by integrating the force balance on each particle. To validate the numerical model, the results for bubble terminal velocity and shape, and particle removal rate are compared with the available experimental data in the literature. Finally, particle removal from different bubble sizes is studied.
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Yoshida, Hiroyuki, and Shinichiro Uesawa. "Numerical Simulation of Microparticles Motion in Two-Phase Bubbly Flow." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16393.

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Abstract The radioactive aerosol removal equipment is used as one of the safety systems of nuclear reactors. In this equipment, microparticles of aerosol are removed through gas-liquid interfaces of two-phase flow. The mechanism related to the removal of microparticles through the gas-liquid interface is not precise; a numerical evaluation method of performance of aerosol removal equipment is not realized. Then, we have started to construct a numerical simulation method to simulate the removal of microparticles through gas-liquid interfaces. In this simulation method, a detailed two-phase flow simulation code TPFIT is used as the basis of this method. TPFIT adopts an advanced interface tracking method and can simulate interface movement and deformation directly. Also, to simulate the movement of particles, the Lagrangian particle tracking method is incorporated. By combining the interface tracking method, and the Lagrangian particle tracking method, the interaction between interfaces and microparticles can be simulated in detail. To solve the Lagrangian equations of particles, fluid properties and fluid velocity surrounding aerosol particles are evaluated by considering the relative position of particles and gas-liquid interface, to simulate particle movement near the interface. In this paper, we show an outline and preliminary results of this simulation method.
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Agrawal, Madhusuden, Ahmadreza Haghnegahdar, and Rahul Bharadwaj. "Improved Prediction of Sand Erosion by Accurate Particle Shape Representation in CFD-DEM Modelling." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206122-ms.

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Abstract Predicting accurate erosion rate due to sand particles in oil and gas production is important for maintaining safe and reliable operations while maximizing output efficiency. Computational Fluid Dynamic (CFD) is a powerful tool for erosion prediction as it provides detailed erosion pattern in complex geometry. In an effort to improve accuracy of erosion prediction, this paper proposes an algorithm to accurately represent particle shape in CFD erosion simulation through coupling with Discrete Element Method (DEM) for non-spherical shape particles. The fluid motions are predicted by CFD and the particle movements (including particle-particle and particle-wall collisions) and fluid-particle interaction are calculated using DEM. It is widely known that sand particles are of finite volume with a non-spherical shape, accurate representation of sand particles is important in CFD modelling for accurate prediction of erosion rate. Traditional CFD approach usages lagrangian tracking of sand particles through Discrete Phase Model (DPM), where a particle is assumed as a point mass for the calculation of trajectory and particle-wall interaction. Particle impact velocity and impact angle are important parameter in determining erosion. Assumption of point mass in DPM approach, will not capture particle-wall interaction accurately especially when particles are of non-spherical in shape. In additional, DPM approach ignores particle-particle interactions. This can adversary affect the accuracy of erosion predictions. Integrating non-spherical DEM collision algorithm with CFD erosion simulation, will overcome these limitations and improve erosion predictions. Benefits of this CFD-DEM erosion modelling was demonstrated for gas-solid flow in a 2" pipework which consists of out-of-plane elbows in series and blind-tees. Experimental dataset [1] for erosion pattern on each elbow was used to validate CFD predictions. Three different erosion CFD simulations were performed, traditional DPM based CFD simulation, CFD-DEM simulation for spherical shape particles and CFD-DEM simulation for non-spherical shape particles. CFD-DEM coupled simulations clearly show an improvement on erosion predictions compared to DPM based CFD simulation. Effect of non-spherical shape on rebound angle during particle-wall collision is captured accurately in CFD-DEM simulation. CFD-DEM simulation using non-spherical particle, was able to predict erosion pattern closer to experimental observations. This paper will demonstrate an increase in accuracy of sand erosion prediction by integrating DEM collision algorithm in CFD modelling. The prediction results of elbow erosion subject to a condition of dilute gas-particle flow are validated against experimental data. Improved prediction of erosion risk will increase the safety and reliability of oil &amp; gas operations, while maximizing output efficiency.
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Zahedi, Peyman, Soroor Karimi, Marzieh Mahdavi, Brenton S. McLaury, and Siamack A. Shirazi. "Parametric Analysis of Erosion in 90 Degree and Long Radius Bends." In ASME 2016 Fluids Engineering Division Summer Meeting collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fedsm2016-7735.

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Solid particle erosion has been recognized as a major concern in the oil and gas production industry. It has been observed that erosion can cause serious and costly damage to equipment and pipelines. Accordingly, different studies have been performed in order to investigate erosion caused by solid particles entrained in the flow. Both experimental and modeling approaches have been used in the past to analyze solid particle erosion under different conditions to be able to mitigate these problems. The goal of this paper is to use a Computational Fluid Dynamic (CFD) erosion model to predict erosion caused by particles flowing in 90 degree and long radius bends. The fluid flow model is coupled with a Lagrangian particle tracking approach. The CFD-based prediction procedure consists of three main steps: flow modeling, particle tracking and erosion calculation. The Reynolds Stress Model (RSM) is used as the turbulence model for all fluid flow simulations. Solid particles are injected from the inlet of the pipe and tracked throughout the bend. The effect of the number of particles released on the predicted maximum erosion magnitude has been investigated. In order to study the grid independency of the solution, erosion is predicted for 5 different grid spacings to accurately predict the flow and erosion rates. In order to assess the quality of the numerical predictions of the erosion rate, experimental data for single-phase (gas) flow with sand in a 3-inch pipe were used. The effects of particle size, fluid velocity, pipe diameter and radius as well as particle rebound model on erosion pattern and magnitude are also investigated. Comparison of these results with experimental erosion data demonstrates good agreement of the erosion trends. It is found that the location of highest erosion for single-phase (gas) flow at low pressure containing sand is around 45° in the elbow. It has been also observed that the 300 μm particles cause approximately two times higher metal loss compared to the 150 μm particles. This higher erosion magnitude is not only caused by the increase in particle momentum but also by the significant increase in particle sharpness for the 300 μm sand. Moreover, simulation results indicate that the increase in gas superficial velocity leads to an increase in the erosion magnitude. According to the results, erosion ratios were reduced exponentially with the increase in pipe diameter at constant flow conditions and particle properties. Furthermore, two available rebound models in the literature were investigated, and simulations illustrate that both methods are in reasonable agreement with experimental data.
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Ghenaiet, Adel. "Simulation of Particle Trajectories and Erosion Through a Centrifugal Compressor." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-22417.

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Under particulate environments, turbocompressors suffer from erosion which is of serious concern to both manufacturers and users of these equipments. In this paper, the results of a numerical study of particle laden air flows through a radial compressor ‘Schwitzer’ are presented. Particle trajectories used an updated version of our in-house code based on a stochastic Lagrangian tracking approach, where equations of particle motion are solved separately from the air-stream. This latter considers the effects of turbulence on particles, initial locations of particles and random particle size and rebound. The tracking of particles in different computational cells and theirs corresponding impacts used the finite element method. The number of particles, their sizes and initial positions were specified according to a concentration profile and an AC coarse (0–200 micron) size distribution. The simulations results are depicting that the impeller rotating speed and particle size strongly affect the trajectories, locations of impacts and erosion rates. For a high rotational speed, erosion is spreading over the pressure side of the main blade and splitter. Regions of high erosion rates are seen on the blades leading edges and towards the upper corner at blade exit. However, the main blade is highly eroded than the splitter. The suction side is almost without erosion except near the leading edge. Furthermore, the casing is mainly affected over the inducer and along the tips of blades.
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Lin, Jian-Hung, and Keh-Chin Chang. "A Cost-Effective Search of Collision Pairs in Lagrangian Particle Tracking Method." In ASME/JSME/KSME 2015 Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ajkfluids2015-32577.

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In the simulation of particle-laden flows, in which the inter-particle collisions have to be considered, using the Eulerian-Lagrangian approach, it is agreed that the search of collision pairs based on the deterministic particle tracking method together with the binary-collision, hard-sphere model is a time consuming job in the computational procedure particularly for the flow laden with a remarkably high number density of particles. A cost-effective algorithm for the particle tracking processes which include solving the equations of motion, searching the collision pairs, and updating the list of neighboring particles’ indices is developed. It is demonstrated in the turbulent, fully developed, particle-laden channel flows that the computational expenditure required for completing the particle tracking processes in a given Lagrangian time step can be optimally made with an approximately linear proportionally to the total number of particles (NPT) by setting the number of Lagrangian cells (Ncell) for computation in accordance with the criterion of NPT / Ncell = O(10°).
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Katinas, Christopher, Weixiao Shang, Yung C. Shin, and Jun Chen. "Modeling Particle Spray and Capture Efficiency for Direct Laser Deposition Using a Four Nozzle Powder Injection System." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2974.

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Powder capture efficiency is indicative of the amount of material that is added to the substrate during laser additive manufacturing processes, and thus, being able to predict capture efficiency provides capability of predictive modeling during such processes. The focus of the work presented in this paper is to create a numerical model to understand particle trajectories and velocities, which in turn allows for the prediction of capture efficiency. To validate the numerical model, particle tracking velocimetry experiments at two powder flow rates were conducted on free stream particle spray to track individual particles such that particle concentration and velocity fields could be obtained. Results from the free stream comparison showed good agreement to the trends observed in experimental data and were subsequently used in a direct laser deposition simulation to assess capture efficiency and temperature profile at steady-state. The simulation was validated against a single track deposition experiment and showed proper correlation of the free surface geometry, molten pool boundary, heat affected zone boundary and capture efficiency.
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Reports on the topic "Particle trackng simulation"

1

Mestha, L. K. Particle tracking code of simulating global RF feedback. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/5986588.

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Shishlo, Andrei P., and Jeffrey A. Holmes. Physical Models for Particle Tracking Simulations in the RF Gap. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1240531.

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sun, yipeng. A Linac Simulation Code for Macro-Particles Tracking and Steering Algorithm Implementation. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1039538.

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Sun, Yipeng. A Linac Simulation Code for Macro-particles Tracking and Steering Algorithm Implementation. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1046379.

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