GNBC-based front-tracking method for the three-dimensional simulation of droplet motion on a solid surface

2018 ◽  
Vol 172 ◽  
pp. 181-195 ◽  
Author(s):  
Xinglong Shang ◽  
Zhengyuan Luo ◽  
Elizaveta Ya. Gatapova ◽  
Oleg A. Kabov ◽  
Bofeng Bai
Keyword(s):  
Solid Surface ◽  
Three Dimensional ◽  
Front Tracking ◽  
Droplet Motion ◽  
Tracking Method ◽  
Front Tracking Method ◽  
Dimensional Simulation

scholarly journals The clustering morphology of freely rising deformable bubbles

2013 ◽  
Vol 721 ◽  
Author(s):  
Yoshiyuki Tagawa ◽  
Ivo Roghair ◽  
Vivek N. Prakash ◽  
Martin van Sint Annaland ◽  
Hans Kuipers ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Front Tracking ◽  
Direct Numerical Simulations ◽  
Regular Lattice ◽  
Tracking Method ◽  
Bubble Deformation ◽  
Front Tracking Method ◽  
Lattice Arrangement ◽  
Spherical Bubbles ◽  
Different Diameters

AbstractWe investigate the clustering morphology of a swarm of freely rising deformable bubbles. A three-dimensional Voronoï analysis enables us to distinguish quantitatively between two typical preferential clustering configurations: a regular lattice arrangement and irregular clustering. The bubble data are obtained from direct numerical simulations using the front-tracking method. It is found that the bubble deformation, represented by the aspect ratio $\chi $, plays a significant role in determining which type of clustering is realized: nearly spherical bubbles form a regular lattice arrangement, while more deformed bubbles show irregular clustering. Remarkably, this criterion for the clustering morphology holds for different diameters of the bubbles, surface tensions and viscosities of the liquid in the studied parameter regime. The mechanism of this clustering behaviour is most likely connected to the amount of vorticity generated at the bubble surfaces.

Communication analysis and optimization of 3D front tracking method for multiphase flow simulations

2017 ◽  
Vol 33 (1) ◽  
pp. 67-80 ◽  
Author(s):  
Muhammad Nufail Farooqi ◽  
Daulet Izbassarov ◽  
Metin Muradoğlu ◽  
Didem Unat
Keyword(s):  
Three Dimensional ◽  
Front Tracking ◽  
Communication Overhead ◽  
Communication Analysis ◽  
Data Movement ◽  
Tracking Method ◽  
Front Tracking Method ◽  
Different Types ◽  
Strong Scaling ◽  
Eulerian Grid

This paper presents a scalable parallelization of an Eulerian–Lagrangian method, namely the three-dimensional front tracking method, for simulating multiphase flows. Operating on Eulerian–Lagrangian grids makes the front tracking method challenging to parallelize and optimize because different types of communication (Lagrangian–Eulerian, Eulerian–Eulerian, and Lagrangian–Lagrangian) should be managed. In this work, we optimize the data movement in both the Eulerian and Lagrangian grids and propose two different strategies for handling the Lagrangian grid shared by multiple subdomains. Moreover, we model three different types of communication emerged as a result of parallelization and implement various latency-hiding optimizations to reduce the communication overhead. Good scalability of the parallelization strategies is demonstrated on two supercomputers. A strong scaling study using 256 cores simulating 1728 interfaces or bubbles achieves 32.5x speedup. We also conduct weak scaling study on 4096 cores simulating 27,648 bubbles on a 1024×1024×2048 Eulerian grid resolution.

A fully adaptive front tracking method for the simulation of two phase flows

2014 ◽  
Vol 58 ◽  
pp. 72-82 ◽  
Author(s):  
M.R. Pivello ◽  
M.M. Villar ◽  
R. Serfaty ◽  
A.M. Roma ◽  
A. Silveira-Neto
Keyword(s):  
Front Tracking ◽  
Two Phase Flows ◽  
Two Phase ◽  
Tracking Method ◽  
Front Tracking Method ◽  
Fully Adaptive
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