A novel application of barycentric coordinates to Lagrange two-way coupled spray calculations

Sinigersky, A.; Koch, Rainer; Bauer, H.-J.

doi:10.1504/pcfd.2013.057100

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method is defined in terms of the displacement, in which the particle's location given by its barycentric coordinates is handled as the primary data and it is automatically updated during particle tracking. [37][38][39] In barycentric particle tracking, it is quite known where and when the particle hits the cell faces on its path. So, the particle's location is always known and updated after each movement.…”

Section: Introductionmentioning

confidence: 99%

“…As known, barycentric tracking is a continuous particle tracking method, which provides more computational efficiency in case of handling computational domains with general 3D mesh shapes. This method is defined in terms of the displacement, in which the particle's location given by its barycentric coordinates is handled as the primary data and it is automatically updated during particle tracking 37–39 . In barycentric particle tracking, it is quite known where and when the particle hits the cell faces on its path.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Employment of an efficient particle tracking algorithm based on barycentric coordinates in hybrid finite‐volume/probability‐density‐function Monte Carlo methods

Barezban,

Darbandi

2024

Numerical Methods in Fluids

View full text Add to dashboard Cite

One main concern of this work is to develop an efficient particle‐tracking‐managing algorithm in the framework of a hybrid pressure‐based finite‐volume/probability‐density‐function (FV/PDF) Monte‐Carlo (MC) solution algorithm to extend the application of FV/PDF MC methods to absolutely incompressible flows and speedup the convergence rate of solving the fluctuating velocity‐turbulent frequency joint PDF equation in turbulent flow simulations. Contrary to the density‐based algorithms, the pressure‐based algorithms have stable convergence rates even in zero‐Mach number flows. As another contribution, literature shows that the past developed methods mostly used mesh searching techniques to attribute particles to cells at the beginning of each tracking time‐step. Also, they had to calculate the linear basis functions at every time‐step to estimate the particle mean fields and interpolate the data. These calculations would be computationally very expensive, time‐consuming, and inefficient in computational domains with arbitrary‐shaped 3D meshes. As known, the barycentric tracking is a continuous particle tracking method, which provides more efficiency in case of handling 3D domains with general mesh shapes. The barycentric tracking eliminates any mesh searching technique and readily provides the convenient linear basis functions. So, this work benefits from these advantages and tracks the particles based on their barycentric coordinates. It leads to less computational work and a better efficiency for the present method. A bluff‐body turbulent flow case is examined to validate the present FV/PDF MC method. From the accuracy perspective, it is shown that the results of the present algorithm are in great agreement with experimental data and available numerical solutions. The present study shows that the number of particle time‐steps required to reach the statistically steady‐state condition is at least one‐sixth less than the previously developed algorithms. This also approves a faster convergence rate for the present hybrid pressure‐based algorithm.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Employment of an efficient particle tracking algorithm based on barycentric coordinates in hybrid finite‐volume/probability‐density‐function Monte Carlo methods

Barezban,

Darbandi

2024

Numerical Methods in Fluids

View full text Add to dashboard Cite

show abstract

An optimized Eulerian–Lagrangian method for two-phase flow with coarse particles: Implementation in open-source field operation and manipulation, verification, and validation

Zhang

2021

Physics of Fluids

View full text Add to dashboard Cite

The solid–liquid two-phase flow with coarse particles is ubiquitous in natural phenomena and engineering practice, which is characterized by coarse particles, high particle concentration, and large particle size distribution. In this work, the numerical models describing two-phase flows are reviewed, which given that the Eulerian–Lagrangian method is applicable in this work. Then, some modified models are proposed for the situation where the conventional Eulerian–Lagrangian method is not applicable to deal with coarse particles. The continuous phase equations of liquid are solved based on the finite volume method. The pressure implicit with splitting of operators algorithm for solving the Navier–Stokes (N–S) equations of the pseudo-single-phase flow, considering phase fraction and momentum exchange source term, is proposed. The discrete coarse particle is tracked in the Lagrangian method. A virtual mass distribution function is proposed for calculating coarse particle volume fraction. A weighted function method relating to the particle size is given for the interpolation between the Eulerian and Lagrangian fields. The barycentric coordinates are introduced into the particle localization. All the modified models are algorithmically implanted in the open-source field operation and manipulation (OpenFOAM) as a new solver named coarse discrete particle method FOAM (CoarseDPMFoam). Subsequently, the applicability of the numerical simulation method is verified by some typical test cases. The proposed numerical simulation method provides new ideas and methods for the mechanism investigation and engineering application of the two-phase flow with coarse particles.

show abstract

A novel application of barycentric coordinates to Lagrange two-way coupled spray calculations

Cited by 2 publications

References 0 publications

Employment of an efficient particle tracking algorithm based on barycentric coordinates in hybrid finite‐volume/probability‐density‐function Monte Carlo methods

Employment of an efficient particle tracking algorithm based on barycentric coordinates in hybrid finite‐volume/probability‐density‐function Monte Carlo methods

An optimized Eulerian–Lagrangian method for two-phase flow with coarse particles: Implementation in open-source field operation and manipulation, verification, and validation

Contact Info

Product

Resources

About