Relevant bibliographies by topics / Particle dynamic

Academic literature on the topic 'Particle dynamic'

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Published: 14 March 2023

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Journal articles on the topic "Particle dynamic"

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Liu, Xueqing, Song Yue, Luyi Lu, Wei Gao, and Jianlan Li. "Numerical Simulations of a Gas–Solid Two-Phase Impinging Stream Reactor with Dynamic Inlet Flow." Energies 11, no. 7 (July 23, 2018): 1913. http://dx.doi.org/10.3390/en11071913.

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Fluid flow characteristics and particle motion behavior of an impinging stream reactor with dynamic inlet flow (both inlet velocity patterns exhibit step variation) are investigated and discussed with the computational fluid dynamics–discrete element method (CFD–DEM). The effect of T (variation period of the dynamic inlet flow) and ∆u (inlet velocity difference) on the motion characteristics of single and multiple particles, as well as the mean particle residence time, are studied and discussed. The research results indicate that, compared with the traditional impinging stream reactor (both inlet velocities are equal and constant) with equal mean inlet velocity (um) within one period, the impinging surface is instantaneously moving and the flow regime is varied with time in the impinging stream reactor with dynamic inlet flow. The impinging stream reactor with dynamic inlet flow provides higher cost performance over the traditional impinging stream reactor, under equal um, in terms of single-particle residence time. Moreover, three new particle motion modes exist in multi-particle motions of the impinging stream reactor with dynamic inlet flow; particles are accelerated by the original or reverse fluid and perform oscillatory motion at least once after an interparticle collision. Whether it is a single particle or multi-particles, the mean particle residence time reaches a maximum value when T/2 is approximately equal to the first particle acceleration time, since the maximum axial kinetic energy increases in every oscillatory motion compared with traditional impinging stream, and the number of oscillatory motions is increasing. The mean residence time of a particle in the impinging stream reactor with a dynamic inlet flow increases with increasing ∆u, since the dynamic inlet conditions and increasing ∆u can continuously supply more energy to particles and thus cause more particles to enter one of the three new modes of particle motion.
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Wang, Wenxu, Damián Marelli, and Minyue Fu. "Dynamic Indoor Localization Using Maximum Likelihood Particle Filtering." Sensors 21, no. 4 (February 5, 2021): 1090. http://dx.doi.org/10.3390/s21041090.

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A popular approach for solving the indoor dynamic localization problem based on WiFi measurements consists of using particle filtering. However, a drawback of this approach is that a very large number of particles are needed to achieve accurate results in real environments. The reason for this drawback is that, in this particular application, classical particle filtering wastes many unnecessary particles. To remedy this, we propose a novel particle filtering method which we call maximum likelihood particle filter (MLPF). The essential idea consists of combining the particle prediction and update steps into a single one in which all particles are efficiently used. This drastically reduces the number of particles, leading to numerically feasible algorithms with high accuracy. We provide experimental results, using real data, confirming our claim.
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Habibi, A., and A. Luciani. "Dynamic particle coating." IEEE Transactions on Visualization and Computer Graphics 8, no. 4 (October 2002): 383–94. http://dx.doi.org/10.1109/tvcg.2002.1044523.

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Ouriemi, Malika, and Petia M. Vlahovska. "Electrohydrodynamics of particle-covered drops." Journal of Fluid Mechanics 751 (June 16, 2014): 106–20. http://dx.doi.org/10.1017/jfm.2014.289.

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AbstractWe experimentally investigate the effect of surface-absorbed colloidal particles on the dynamics of a leaky dielectric drop in a uniform DC electric field. Depending on the particle polarizabilty, coverage and the electrical field intensity, particles assemble into various patterns such as an equatorial belt, pole-to-pole chains or a band of dynamic vortices. The particle structuring changes droplet electrohydrodynamics: under the same conditions where a particle-free drop would be a steady oblate spheroid, the belt can give rise to unsteady behaviours such as sustained drop wobbling or tumbling. Moreover, particle chaining can be accompanied by prolate drop deformation and tip-streaming.
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Malama, Terence, Agripa Hamweendo, and Ionel Botef. "Molecular Dynamics Simulation of Ti and Ni Particles on Ti Substrate in the Cold Gas Dynamic Spray (CGDS) Process." Materials Science Forum 828-829 (August 2015): 453–60. http://dx.doi.org/10.4028/www.scientific.net/msf.828-829.453.

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This paper presents simulation of molecular dynamics for the deposition of Titanium (Ti) and Nickel (Ni) particles on Ti substrate during Cold Gas Dynamic Spray (CGDS) process. The influencing factors of the deposition process, such as particle incident velocity, particle size and particle temperature are taken into consideration. Ti and Ni were selected because of their potential applications in the aerospace, marine and bio-medical industries. CGDS is preferred because it is a state of the art technique by which coatings are created without significant heating of the sprayed powder. In CGDS, particles are accelerated to supersonic velocities using a high speed gas stream. However, there are inherent difficulties in relating particle deposition characteristics with influencing factors of the deposition process. Moreover, there is limited literature on molecular dynamics simulation of CGDS process. For this reason, this paper develops a simulation process for Ti and Ni particles under influence of many factors using molecular dynamics. In this process, particles are allowed to interact for a short time, giving a view of their motion. The trajectories of these particles are determined by numerically solving the Newton's equations of motion for a system of interacting particles, in which the forces between the particles are defined. The results of the simulation process show that higher incident velocities and larger particle sizes result in stronger interface between the particle and the substrate. Further, higher temperatures of the substrate and particles improve the bond strength.
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YU, K. W., G. Q. GU, J. P. HUANG, and J. J. XIAO. "DYNAMIC ELECTRORHEOLOGICAL EFFECTS OF ROTATING PARTICLES: A BRIEF REVIEW." International Journal of Modern Physics B 19, no. 07n09 (April 10, 2005): 1163–69. http://dx.doi.org/10.1142/s0217979205030013.

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Particle rotation leads to a steady-state which is different from the equilibrium state in the absence of rotational motion. The change of the polarization of the particle due to the rotational motion is called the dynamic electrorheological effect (DER). There are three cases to be considered: rotating particles in a dc field, particle rotation due to a rotating field and spontaneous rotation of particle in dc field (Quincke rotation). In the DER of rotating particles, the particle rotational motion generally reduces the interparticle force between the particles. The effect becomes pronounced when the frequency is on the order of the relaxation rate of the surface charges. In the electrorotation of particles, the mutual interaction between approaching particles will change the electrorotation spectrum significantly. The electrorotation spectrum depends strongly on the medium conductivity as well as the conductivity contrast between the particle and the medium. In the collective behaviors of Quincke rotors, the mutual interactions between the individual rotors lead to the assembly of chain-like structures which make an angle with the applied field. This has an implication of a new class of material.
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Temitope Oyinbo, Sunday, and Tien-Chien Jen. "Molecular Dynamics Simulation of Dislocation Plasticity Mechanism of Nanoscale Ductile Materials in the Cold Gas Dynamic Spray Process." Coatings 10, no. 11 (November 10, 2020): 1079. http://dx.doi.org/10.3390/coatings10111079.

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The dislocation plasticity of ductile materials in a dynamic process of cold gas spraying is a relatively new research topic. This paper offers an insight into the microstructure and dislocation mechanism of the coating using simulations of molecular dynamics (MD) because of the short MD simulation time scales. The nano-scale deposition of ductile materials onto a deformable copper substrate has been investigated in accordance with the material combination and impact velocities in the particle/substrate interfacial region. To examine the jetting mechanisms in a range of process parameters, rigorous analyses of the developments in pressure, temperature, dislocation plasticity, and microstructure are investigated. The pressure wave propagation’s critical function was identified by the molecular dynamics’ simulations in particle jet initiation, i.e., exterior material flow to the periphery of the particle and substrate interface. The initiation of jet occurs at the point of shock waves interact with the particle/substrate periphery and leads to localization of the metal softening in this region. In particular, our findings indicate that the initial particle velocity significantly influences the interactions between the material particles and the substrate surface, yielding various atomic strain and temperature distribution, processes of microstructure evolution, and the development of dislocation density in the particle/substrate interfacial zone for particles with various impact velocities. The dislocation density in the particle/substrate interface area is observed to grow much more quickly during the impact phase of Ni and Cu particles and the evolution of the microstructure for particles at varying initial impact velocities is very different.
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Stratmann, F., E. Herrmann, T. Petäjä, and M. Kulmala. "Modelling Ag-particle activation and growth in a TSI WCPC model 3785." Atmospheric Measurement Techniques Discussions 2, no. 5 (September 25, 2009): 2217–39. http://dx.doi.org/10.5194/amtd-2-2217-2009.

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Abstract. In this work, we modelled activation and growth of silver particles in the water-operated TSI model 3785 water condensation particle counter (WCPC). Our objective was to investigate theoretically how various effects influence the counting efficiency of this CPC. Coupled fluid and particle dynamic processes were modelled with the computational fluid dynamics (CFD) code FLUENT in combination with the Fine Particle Model (FPM) to obtain profiles of temperature, vapour concentration, nucleation rate, and particle size. We found that the counting efficiency of the TSI 3785 for small particles might be affected by the presence of larger particles. Moreover, homogeneous nucleation processes can significantly influence counting efficiency.
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Stratmann, F., E. Herrmann, T. Petäjä, and M. Kulmala. "Modelling Ag-particle activation and growth in a TSI WCPC model 3785." Atmospheric Measurement Techniques 3, no. 1 (February 25, 2010): 273–81. http://dx.doi.org/10.5194/amt-3-273-2010.

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Abstract. In this work, we modelled activation and growth of silver particles in the water-operated TSI model 3785 water condensation particle counter (WCPC). Our objective was to investigate theoretically how various effects influence the counting efficiency of this CPC. Coupled fluid and particle dynamic processes were modelled with the computational fluid dynamics (CFD) code FLUENT in combination with the Fine Particle Model (FPM) to obtain profiles of temperature, vapour concentration, nucleation rate, and particle size. We found that the counting efficiency of the TSI 3785 for small particles might be affected by the presence of larger particles. Moreover, homogeneous nucleation processes can significantly influence counting efficiency.
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Kok, S., and J. A. Snyman. "A Strongly Interacting Dynamic Particle Swarm Optimization Method." Journal of Artificial Evolution and Applications 2008 (March 31, 2008): 1–9. http://dx.doi.org/10.1155/2008/126970.

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A novel dynamic interacting particle swarm optimization algorithm (DYN-PSO) is proposed. The algorithm can be considered to be the synthesis of two established trajectory methods for unconstrained minimization. In the new method, the minimization of a function is achieved through the dynamic motion of a strongly interacting particle swarm, where each particle in the swarm is simultaneously attracted by all other particles located at positions of lower function value. The force of attraction experienced by a particle at higher function value due to a particle at a lower function value is equal to the difference between the respective function-values divided by their stochastically perturbed position difference. The resultant motion of the particles under the influence of the attracting forces is computed by solving the associated equations of motion numerically. An energy dissipation strategy is applied to each particle. The specific chosen force law and the dissipation strategy result in the rapid collapse (convergence) of the swarm to a stationary point. Numerical results show that, in comparison to the standard particle swarm algorithm, the proposed DYN-PSO algorithm is promising.
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Dissertations / Theses on the topic "Particle dynamic"

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Kim, JaeMo. "Dynamic simulation of suspended particles and drops at finite Reynolds numbers by dissipative particle dynamics /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.

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Wang, Ge 1965. "Particle modeling of dynamic fragmentation." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102230.

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In this paper, we first theoretically revise the traditional particle modeling (PM) by means of mathematical derivation in that, adopting of Lennard Jones (LJ) format equations, four conservative rules are satisfied in order to determine the four unknown in a LJ equation, such as the mass, the elastic energy, the Young's modulus and the tensile strength conservations in the PM and molecular dynamic (MD) models. This enables the new developed PM to uniquely define a material's properties to be studied and promisingly become a predictive tool in mining industries. A safe time increment scheme is also defined and a new modification to the model to avoid giving a pseudo-dynamic solution.
Consequently, we test this new PM by simulating fracture response of an elastic-brittle material---epoxy, with randomly distributed holes, in tension and then comparing the model results with the experiments.
Then, we use this developed PM to many applications, such as (i) simulating dynamic fragmentation of minerals encountered in comminution and blasting processes in the mining industry. In particular, we simulate single as well as multi-phase materials in two dimensions (2-D) and 3-D. We redefine the interactive particle relationship by which material impact-collision problems are realistically simulated and computational time is saved as well; (ii) investigating cracking propagation of a plate with crack-tip under mode-I loading.
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Rafferty, Thomas. "Dynamic properties of condensing particle systems." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/91746/.

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Condensation transitions are observed in many physical and social systems, ranging from Bose-Einstein condensation to traffic jams on the motorway. The understanding of the critical phenomena prevalent in these systems presents many interesting mathematical challenges. We are interested in understanding the various definitions of condensation which are suitable in the field of stochastic particle systems and how they are related. Furthermore, we are also interested in dynamic properties of processes that undergo the condensation transition, such as typical convergence time scales and monotonicity properties. Condensation can be defined in many different ways; considering the thermodynamic limit, a weak law of large numbers for the maximum occupation number, and an infinite particle limit on fixed finite lattices. For the latter definition, and processes that exhibit a family of stationary product measures, we prove an equivalent characterisation in terms of sub-exponential distributions generalising previous known results. All known examples of condensing processes that exhibit homogeneous stationary product measures are non-monotone, i.e. the dynamics do not preserve a partial ordering of the state space. This non-monotonicity is typically characterised by an overshoot of the canonical current, which on a heuristic level is related to metastability. We prove that these processes with a finite critical density are necessarily non-monotone confirming a previous conjecture. If the critical density is infinite, condensation can still occur on finite lattices. We present partial evidence that there also exist monotone condensing processes. We also study the typical convergence time scales of condensing inhomogeneous zero-range processes. Our results represent a first rigours calculation of the relaxation time of a condensing zero-range process, where we prove a dynamic transition in the order of the relaxation time as the density crosses a critical value. We also derive bounds for homogeneous condensing models and obtain results consistent with known metastable time scales.
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Urade, Hemlata S., and Rahila Patel. "Performance Evaluation of Dynamic Particle Swarm Optimization." IJCSN, 2012. http://hdl.handle.net/10150/283597.

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Optimization has been an active area of research for several decades. As many real-world optimization problems become increasingly complex, better optimization algorithms are always needed. Unconstrained optimization problems can be formulated as a D-dimensional minimization problem as follows: Min f (x) x=[x1+x2+……..xD] where D is the number of the parameters to be optimized. subjected to: Gi(x) <=0, i=1…q Hj(x) =0, j=q+1,……m Xε [Xmin, Xmax]D, q is the number of inequality constraints and m-q is the number of equality constraints. The particle swarm optimizer (PSO) is a relatively new technique. Particle swarm optimizer (PSO), introduced by Kennedy and Eberhart in 1995, [1] emulates flocking behavior of birds to solve the optimization problems.
In this paper the concept of dynamic particle swarm optimization is introduced. The dynamic PSO is different from the existing PSO’s and some local version of PSO in terms of swarm size and topology. Experiment conducted for benchmark functions of single objective optimization problem, which shows the better performance rather the basic PSO. The paper also contains the comparative analysis for Simple PSO and Dynamic PSO which shows the better result for dynamic PSO rather than simple PSO.
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Devarakonda, SaiPrasanth. "Particle Swarm Optimization." University of Dayton / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1335827032.

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Cavallo, Antonio. "Four dimensional particle tracking in biological dynamic processes." [S.l.] : [s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=964904667.

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Li, Changhe. "Particle swarm optimization in stationary and dynamic environments." Thesis, University of Leicester, 2011. http://hdl.handle.net/2381/10284.

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Inspired by social behavior of bird flocking or fish schooling, Eberhartand Kennedy first developed the particle swarm optimization (PSO) algorithm in 1995. PSO, as a branch of evolutionary computation, has been successfully applied in many research and application areas in the past several years, e.g., global optimization, artificial neural network training, and fuzzy system control, etc… Especially, for global optimization, PSO has shown its superior advantages and effectiveness. Although PSO is an effective tool for global optimization problems, it shows weakness while solving complex problems (e.g., shifted, rotated, and compositional problems) or dynamic problems (e.g., the moving peak problem and the DF1 function). This is especially true for the original PSO algorithm. In order to improve the performance of PSO to solve complex problems, we present a novel algorithm, called self-learning PSO (SLPSO). In SLPSO, each particle has four different learning strategies to deal with different situations in the search space. The cooperation of the four learning strategies is implemented by an adaptive framework at the individual level, which can enable each particle to choose the optimal learning strategy according to the properties of its own local fitness landscape. This flexible learning mechanism is able to automatically balance the behavior of exploration and exploitation for each particle in the entire search space during the whole running process. Another major contribution of this work is to adapt PSO to dynamic environments, we propose an idea that applies hierarchical clustering techniques to generate multiple populations. This idea is the first attempt to solve some open issues when using multiple population methods in dynamic environments, such as, how to define the size of search region of a sub-population, how many individuals are needed in each sub-population, and how many sub-populations are needed, etc. Experimental study has shown that this idea is effective to locate and track multiple peaks in dynamic environments.
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Sharma, Samvaran. "DARTPIV : Dynamic Adaptive Real-Time Particle Image Velocimetry." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85496.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 65-67).
Particle Image Velocimetry (PIV) is a technique that allows for the detailed visualization of fluid flow. By performing computational analysis on images taken by a high-sensitivity camera that monitors the movement of laser-illuminated tracer particles over time, PIV is capable of producing a vector field describing instantaneous velocity measurements of the fluid captured in the field of view. Nearly all PIV implementations perform offline processing of the collected data, a feature that limits the scope of the applications of this technique. Recently, however, researchers have begun to explore the possibility of using FPGAs or PCs to greatly improve the efficiency of these algorithms in order to obtain real-time speeds for use in feedback loops. Such approaches are very promising and can help expand the use of PIV into previously unexplored fields, such as high performance Unmanned Aerial Vehicles (UAVs). Yet these real-time algorithms have the potential to be improved even further. This thesis outlines an approach to make real-time PIV algorithms more accurate and versatile in large part by applying principles from another emerging technique called adaptive PIV, and in doing so will also address new issues created from the conversion of traditional PIV to a real-time context. This thesis also documents the implementation of this Dynamic Adaptive Real- Time PIV (DARTPIV) algorithm on a PC with CUDA parallel computing, and its performance and results analyzed in the context of normal real-time PIV.
by Samvaran Sharma.
M. Eng.
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Wu, Yadong Carleton University Dissertation Mathematics. "Dynamic particle systems and multilevel measure branching processes." Ottawa, 1991.

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Bao, Yanyao. "Smoothed Particle Hydrodynamics Simulations for Dynamic Capillary Interactions." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/19592.

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Complex interactions in porous media play an important role on many industrial and geotechnical applications, such as groundwater treatment, porous catalysts, carbon geosequestration, and oil recovery. Rate-dependent wetting effects are of great significance in understanding the multiphase behaviours of porous media thus further throw light on engineering solutions to the above problems. In this thesis, a modified smoothed particle hydrodynamics (SPH) model is applied to simulate (1) the contact angle dynamics and (2) stretching of liquid bridge at meso-scale. This SPH model adopted an inter-particle force formulation with short-range repulsive force and long-range attractive force to take into account single-phase and multiphase interactions. Particularly, a newly-introduced viscous force is imposed at the liquid-solid interface to capture the rate-dependent behaviours of contact angle without prescribing additional arbitrary condition or force. After identification of model parameters, the rate-dependent contact angle behaviours are studied for both wetting and dewetting phenomena. By analysing the contact angle results of fluid at triple-line region with different moving speeds, the dynamic contact angles and corresponding capillary numbers can be correlated by power law functions. The derived correlation and constants are compared with different forms of empirical power law functions and the results are satisfactory. Moreover, we investigated the properties of stretching liquid bridges, including shape evolution, liquid transfer ratio and flow condition under dynamic loading. Different stretching rates are applied, and the shapes of liquid bridge at same breakup distance is presented. By differentiating the wettability of top and bottom substrates, the liquid transfer ratio regarding wettability difference and substrate moving speed is studied.
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Books on the topic "Particle dynamic"

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Falk, Martin, Sebastian Grottel, Michael Krone, and Guido Reina. Interactive GPU-based Visualization of Large Dynamic Particle Data. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02604-1.

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Brockmann, J. E. The response of the aerodynamic particle sizer to nonspherical particles and use in experimental determination of dynamic shape factor. Washington, DC: Division of Systems Research, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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1922-, Soo S. L., ed. Instrumentation for fluid-particle flow. Norwich, N.Y: Noyes Publications, 1999.

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Coutinho, Murilo G. Guide to Dynamic Simulations of Rigid Bodies and Particle Systems. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4417-5.

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Coutinho, Murilo G. Guide to Dynamic Simulations of Rigid Bodies and Particle Systems. London: Springer London, 2013.

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Paone, N. Application of particle image displacement velocimetry to a centrifugal pump. Rhode Saint Genese, Belgium: von Karman Institute for Fluid Dynamics, 1988.

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Bernard, Guerts, Clercx H. J. H, and Uijttewaal Wim S. J, eds. Particle-laden flow: From geophysical to Kolmogorov scales. Dordrecht: Springer, 2007.

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United States. National Aeronautics and Space Administration., ed. Motion of the heliospheric termination shock at high heliographic latitude. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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B, Marion Jerry, ed. Classical dynamics of particles and systems. 5th ed. Belmont, CA: Brooks/Cole, 2004.

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Stumpf, Harald. Composite particle dynamics in quantum field theory. Braunschweig [Germany]: Vieweg, 1994.

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Book chapters on the topic "Particle dynamic"

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Pusey, P. N., and R. J. A. Tough. "Particle Interactions." In Dynamic Light Scattering, 85–179. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2389-1_4.

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Coutinho, Murilo G. "Particle Systems." In Dynamic Simulations of Multibody Systems, 61–153. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3476-8_3.

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Fernandes, Carlos M., J. L. J. Laredo, J. J. Merelo, C. Cotta, and A. C. Rosa. "Dynamic Topologies for Particle Swarms." In Transactions on Computational Collective Intelligence XXIV, 1–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53525-7_1.

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Stock, Ruth S., and W. Harmon Ray. "Measuring Particle Size Distribution of Latex Particles Using Dynamic Light Scattering." In Particle Size Distribution, 105–14. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch007.

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Rathi, Yogesh, Samuel Dambreville, and Allen Tannenbaum. "Particle Filtering with Dynamic Shape Priors." In Lecture Notes in Computer Science, 886–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11867586_80.

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Blackwell, Tim. "Particle Swarm Optimization in Dynamic Environments." In Studies in Computational Intelligence, 29–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49774-5_2.

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Zheng, Binbin, Yuanxiang Li, Xianjun Shen, and Bojin Zheng. "A New Dynamic Particle Swarm Optimizer." In Lecture Notes in Computer Science, 481–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11903697_61.

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Kiranyaz, Serkan, Turker Ince, and Moncef Gabbouj. "Dynamic Data Clustering." In Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition, 151–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37846-1_6.

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Vaidya, R. A., M. J. Mettille, and R. D. Hester. "A Comparison of Methods for Determining Macromolecular Polydispersity from Dynamic Laser Light Scattering Data." In Particle Size Distribution, 62–73. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0332.ch004.

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Borowska, Bożena. "Dynamic Inertia Weight in Particle Swarm Optimization." In Advances in Intelligent Systems and Computing II, 79–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70581-1_6.

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Conference papers on the topic "Particle dynamic"

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Wang, Guozhi, Shuyan Wang, Shan Feng, and Zhengrong Wang. "Dynamic particle holographic instrument." In 19th Intl Congress on High-Speed Photography and Photonics. SPIE, 1991. http://dx.doi.org/10.1117/12.24080.

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Kennedy, James. "Dynamic-probabilistic particle swarms." In the 2005 conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1068009.1068040.

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Cheng, W., K. Farhang, and Y. Kwon. "On the Dynamics of Particle-Particle Interaction." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81375.

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In numerous engineering and science applications understanding the dynamic behavior of two interacting particles plays an indispensable role as it is the foundation based upon which the behavior of a large number of particles may be predicted. When two particles interact, two prominent forces of adhesion and elasticity are at work and, in some respect, in competition. This is especially true when particle-particle collision dynamics is of interest. Upon collision, two particles either develop physical bond, coalesce to form an agglomeration or rebound, each following a distinct path. A promising theory to address particle-particle collision dynamics is due to Johnson, Kendal and Roberts [1] referred to as the JKR method. However, JKR suffers from two main shortcomings in application to particle dynamics. These are (1) implicit relations between force and displacement and (2) representation of a two-particle system as a conservative system. These shortcomings were treated in [2] by first deriving a highly accurate approximate equation based on the JKR theory in which force and displacement are explicitly related and the extension of the JKR theory wherein the Kelving-Voigt viscoelastic model is used instead of the elastic model. This formulation provides an opportunity to study particle-particle collision dynamics, which is the study in the present paper.
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Zhang, Chao, Zhijian Li, Xin Du, and Hui Qian. "DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/679.

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The recently developed Particle-based Variational Inference (ParVI) methods drive the empirical distribution of a set of fixed-weight particles towards a given target distribution by iteratively updating particles' positions. However, the fixed weight restriction greatly confines the empirical distribution's approximation ability, especially when the particle number is limited. In this paper, we propose to dynamically adjust particles' weights according to a Fisher-Rao reaction flow. We develop a general Dynamic-weight Particle-based Variational Inference (DPVI) framework according to a novel continuous composite flow, which evolves the positions and weights of particles simultaneously. We show that the mean-field limit of our composite flow is actually a Wasserstein-Fisher-Rao gradient flow of the associated dissimilarity functional. By using different finite-particle approximations in our general framework, we derive several efficient DPVI algorithms. The empirical results demonstrate the superiority of our derived DPVI algorithms over their fixed-weight counterparts.
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Wang, Yizhou, Dennis Wai, and Masayoshi Tomizuka. "Steady-State Marginalized Particle Filter for Attitude Estimation." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-5981.

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A marginalized particle filter (MPF) is designed for attitude estimation problem. Unit quaternions are used to parameterize rotations. The linear structure in the gyroscope bias dynamics enables us to completely decouple its evolution from quaternion particles. We further show that the linear part of the proposed MPF reaches a steady state, similar to what Kalman filter does for controllable and observable linear stochastic systems. Although the steady-state MPF is similar to the particle filter in structure, it has two advantages: (i) the theoretical superiority of marginalizing linear substructure, and (ii) the reduction in total computational time. Numerical simulations are performed to demonstrated the performance of the proposed filter.
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Bastos-Filho, C. J. A., D. F. Carvalho, E. M. N. Figueiredo, and P. B. C. de Miranda. "Dynamic Clan Particle Swarm Optimization." In 2009 Ninth International Conference on Intelligent Systems Design and Applications. IEEE, 2009. http://dx.doi.org/10.1109/isda.2009.10.

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Assadi, Armand D., and James H. Oliver. "Real-Time Particle Simulation for Virtual Environments." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/dfm-4422.

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Abstract A real-time interactive environment for particle simulation is presented with specific attention given to fluid flow from a fountain system. The complex Navier-Stokes equations from fluid dynamics theory give way to simple dynamic equations of motion for systems of independent particles from particle theory. Due to the ease of integration of the dynamic linear first order differential equations, compared to the nonlinear second order partial differential equations of Navier-Stokes, a real-time rate was achieved for a visually aesthetic model of fluid flow. The primary contribution is that interactive changes made by the user are perceived to occur simultaneously in the environment. There is no need to resolve a predetermined set of equations when making the changes.
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Kassab, Asmaa Sadek, Victor M. Ugaz, Maria D. King, and Yassin A. Hassan. "Dynamic Measurements of Micro-Meter Particle Detachment on Glass Surfaces." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87786.

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This work presents a high resolution study of the condition under which a transient fluid flow causes spherical glass beads particles of 10–100 μm in size to detach from glass surfaces. The general approach is to conduct well-controlled experiments, to observe individual microparticle motion in short term resuspension, within a period up to 5s, and to focus on the basic detachment mechanisms of the resuspended particles to fully understand and quantify the behavior of particles immediately before liftoff. Particle tracking obtained from high-speed imaging of individual particle with 4000 frames/s, reveal three different types of motion: rolling/bouncing, immediate liftoff (where the particle showed immediate liftoff without any initial rolling/bouncing) and complex motion where particles travel with rolling/bouncing motion on the surface for a certain distance before liftoff. The longer it will take the particle to start its initial movement the more rapid is the liftoff once motion is initiated. The majority of particle trajectories from the glass substrate were parallel to the surface with complex motion, covering 25% of the total distance traveled in rolling/bouncing motion before liftoff. Additionally, Single layer detachment showed that the detachment percentage initially follow an exponentially increasing trend for a period of ∼ 1s, followed by a plateau phase for a period of 5s.
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Zhang, D., P. H. Shipway, and D. G. McCartney. "Particle-Substrate Interactions in Cold Gas Dynamic Spraying." In ITSC2003, edited by Basil R. Marple and Christian Moreau. ASM International, 2003. http://dx.doi.org/10.31399/asm.cp.itsc2003p0045.

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Abstract Aluminium powder of 99.7wt% purity and in the nominal particle size range –75+15µm has been sprayed onto a range of substrates by cold gas dynamic spraying (cold spraying). The substrates examined include metals with a range of hardness, polymers and ceramics. The substrate surfaces had very low roughness before deposition of aluminium in an attempt to separate effects of mechanical bonding from other forms of bonding. The cross-sectional area of a single track of aluminium sprayed onto the substrate was taken as a measure of the ease of initiation of deposition, assuming that once a coating had begun to deposit onto a substrate, its growth would occur at a constant rate regardless of substrate type. It has been shown that initiation of deposition depends critically upon substrate type. For metals where initiation was not easy, then small aluminium particles were seen to be deposited preferentially to large ones (due to their higher impact velocities); these may have acted as an interlayer to promote further building of the coating. A number of phenomena have been observed following spraying onto various substrates, such as substrate melting, substrate and particle deformation and evidence for the formation of a metal-jet (akin to that seen in explosive welding). Such phenomena have been related to the processes occurring during impact of the particles on the substrate. Generally, initiation of aluminium deposition was seen to be poor for non-metallic materials (where no metallic bonding between the particle and substrate was possible) and for very soft metals (in the case of tin, melting of the substrate was observed). Metallic substrates harder than the aluminium particles generally promoted deposition, although deposition onto aluminium alloy was difficult due to the presence of a tenacious oxide layer. Initiation was seen to be rapid on hard metallic substrates, even when deformation of the substrate was not visible.
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Li, Nai-Jen, and Wen-June Wang. "Fuzzy dynamic turning for particle swarm optimization with weighted particle." In 2014 11th IEEE International Conference on Control & Automation (ICCA). IEEE, 2014. http://dx.doi.org/10.1109/icca.2014.6870922.

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Reports on the topic "Particle dynamic"

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Hu, M. Z.-C. Dynamic Particle Growth Testing - Phase I Studies. Office of Scientific and Technical Information (OSTI), May 2001. http://dx.doi.org/10.2172/786478.

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Crawford, O. (Symposium on dynamic particle-condensed matter interactions). Office of Scientific and Technical Information (OSTI), December 1988. http://dx.doi.org/10.2172/7093946.

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Datta, Subhendu K. Dynamic Behavior of Fiber and Particle Reinforced Composites. Fort Belvoir, VA: Defense Technical Information Center, March 1993. http://dx.doi.org/10.21236/ada266905.

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CHHABILDAS, LALIT C., DENNIS EDWARD GRADY, CLINT A. HALL, WILLIAM D. REINHART, and GREG A. MANN. Dynamic Properties of Concrete through Particle Velocity Profile Measurements. Office of Scientific and Technical Information (OSTI), October 2002. http://dx.doi.org/10.2172/802024.

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Yamamoto, Yosuke, Takayuki Sato, and Genki Anraku. Dynamic Simulation of Water and Soil Using Particle Method. Warrendale, PA: SAE International, November 2011. http://dx.doi.org/10.4271/2011-32-0563.

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Schmalz, Mark S. Computational Particle Dynamic Simulations on Multicore Processors (CPDMu) Final Report Phase I. Office of Scientific and Technical Information (OSTI), July 2011. http://dx.doi.org/10.2172/1019271.

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Chen, Kuangcai. Development and applications of single particle orientation and rotational tracking in dynamic systems. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1342544.

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Hughes, Kyle, and John Charonko. Shocked Transport: Experiments to Study Dynamic Particle Behavior under Varying Volume Fraction Conditions. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1779626.

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Morkun, Volodymyr, Natalia Morkun, Andrii Pikilnyak, Serhii Semerikov, Oleksandra Serdiuk, and Irina Gaponenko. The Cyber-Physical System for Increasing the Efficiency of the Iron Ore Desliming Process. CEUR Workshop Proceedings, April 2021. http://dx.doi.org/10.31812/123456789/4373.

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It is proposed to carry out the spatial effect of high-energy ultrasound dynamic effects with controlled characteristics on the solid phase particles of the ore pulp in the deslimer input product to increase the efficiency of thickening and desliming processes of iron ore beneficiation products. The above allows predicting the characteristics of particle gravitational sedimentation based on an assessment of the spatial dynamics of pulp solid- phase particles under the controlled action of high-energy ultrasound and fuzzy logical inference. The object of study is the assessment of the characteristics and the process of control the operations of thickening and deslaming of iron ore beneficiation products in the conditions of the technological line of the ore beneficiation plant. The subject of study is a cyber-physical system based on the use of high-energy ultrasound radiation pressure effects on iron-containing beneficiation products in the technological processes of thickening and desliming. The working hypothesis of the project is that there is a relationship between the physical-mechanical and chemical-mineralogical characteristics of the iron ore pulp solid- phase particles and their behavior in technological flows under the influence of controlled ultrasonic radiation, based on which the imitation modeling of the gravitational sedimentation process of the iron ore pulp solid-phase particles can be performed directly in the technological process. Also, the optimal control actions concerning the processes of thickening and desliming can be determined.
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Aiken, Allison C. Submicron Aerosol Chemical Composition and Optical Properties: In Situ Field Measurements and Controlled Laboratory Studies to Probe Dynamic Particle Processes for Climate. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1529506.

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