An improved known vicinity algorithm based on geometry test for particle localization in arbitrary grid

Ke, Peng; Zhang, Shuguang; Wu, Jianghao; Yang, Can

doi:10.1016/j.jcp.2009.09.003

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…Several methods have been proposed for the particle locating on irregular meshes. Existing methods can be categorized into two types, i.e., the known vicinity face-to-face searching methods, such as Chen and Pereira [3], Vaidya et al [4], Haselbacher et al [5], Macpherson et al [6], Ke et al [7], Capodaglio [8], and Stuart et al [9], among others, and the auxiliary grid methods, such as Seldner and Westermann [10], Muradoglu and Kayaalp [11], Martin et al [12], and Jin et al [13], among others.…”

Section: Introductionmentioning

confidence: 99%

A Fast Particle-Locating Method for the Arbitrary Polyhedral Mesh

Wang

2019

Algorithms

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A fast particle-locating method is proposed for the hybrid Euler–Lagrangian models on the arbitrary polyhedral mesh, which is of essential importance to improve the computational efficiency by searching the host cells for the tracked particles very efficiently. A background grid, i.e., a uniform Cartesian grid with a grid spacing much smaller than computational mesh, is constructed over the whole computational domain. The many-to-many mapping relation between the computational mesh and the background grid is then specified through a recursive tetrahedron neighbor searching procedure, after the tetrahedral decomposition of computational cells and a mapping inverse operation. Finally, the host cell is straightforwardly identified by the point-in-cell test among the optional elements determined based on the mapping relation. The proposed method is checked on three meshes with different types of the cells and compared with the existing methods in the literatures. The results reveal that the present method is highly efficient and easy to implement on the arbitrary polyhedral mesh.

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Section: Introductionmentioning

confidence: 99%

A Fast Particle-Locating Method for the Arbitrary Polyhedral Mesh

Wang

2019

Algorithms

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“…Normalmente a determinação da célula computacional na qual uma bolha discreta se encontra pode ser feita de forma rápida e eficiente, utilizando-se a localização da bolha e do mapeamento da malha, em malhas cartesianas uniformes. No entanto, esta abordagem não pode ser diretamente utilizada em malhas não estruturadas (PENG et al, 2009), tornando o problema de rastreamento das partículas um elemento importante. O código UNSCYFL3D utiliza o algoritmo proposto por Haselbacher, Najjar e Ferry (2007).…”

Section: Rastreamento Da Fase Dispersaunclassified

Estudo numérico dos efeitos de microbolhas para redução de atrito em canais com escoamento ascendente

Velasco¹

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Our environment is surrounded by turbulence, and turbulent flows are often encountered in a variety of engineering applications, such as in compressors, pumps and pipelines. In most applications, friction is largely responsible for energy transformation and is considerably larger in turbulent flows than in laminar flows. Thus, reducing the drag force in turbulent flows is an issue that is constantly evolving and several techniques have been developed for this purpose. The use of microbubbles as a means of reducing friction draws attention to the reduction achieved with the technique and its environmental advantages. A better understanding of the physics that entails the reduction of microbubble drag can generate significant financial benefits in different types of transport. With this objective, numerical simulations were performed using the DNS methodology in flow with microbubbles in an ascending turbulent channel flow. For the simulations, the UNSCYFL3D code, developed in the MFlab, was used in which the Navier-Stokes equations in the incompressible formulation are solved numerically through the finite volume method in unstructured meshes. The Euler-Lagrange approach was used, where the continuous phase is treated on an Eulerian reference and the microbubbles by a Lagrangian reference, with the movement of the bubbles governed by Newton's second law, and a two-way coupling between the phases. The influence of two values for the volume fraction of the gas (0, 1% e 0, 5%) and three different diameters for the microbubbles (100 µm, 200 µm e 500 µm) was analyzed. The addition of the microbubbles in the flow caused that for the same pressure gradient the velocity profiles of the cases with microbubbles presented an increase in relation to the profile of the single phase flow, implying in the reduction of friction. The presence of microbubbles in the flow significantly impacted the flow in the viscous sublayer. By means of Fanning's coefficient of friction it was possible to quantify the overall reduction of friction in this study for the six possible combinations of cases, and the maximum reduction achieved was around 20%. This percentage was computed for the volume fraction of 0, 5% and the smaller diameter, 100 µm. The results confirm the direct influence of the volumetric fraction on the reduction of friction, besides showing that the size of the bubbles also plays a role in reducing friction, even if with less influence.

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Effects of Turbulent Dispersion on Water Droplet Impingement Based on Statistics Method

Xing

et al. 2018

Int. J. Aeronaut. Space Sci.

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An improved known vicinity algorithm based on geometry test for particle localization in arbitrary grid

Cited by 5 publications

References 18 publications

A Fast Particle-Locating Method for the Arbitrary Polyhedral Mesh

A Fast Particle-Locating Method for the Arbitrary Polyhedral Mesh

Estudo numérico dos efeitos de microbolhas para redução de atrito em canais com escoamento ascendente

Effects of Turbulent Dispersion on Water Droplet Impingement Based on Statistics Method

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