Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow
M. Heinemann, J. Potyka, K. Schulte, F. Sadlo, and T. Ertl. Dataset, (2024)Related to: M. Heinemann, J. Potyka, K. Schulte, F. Sadlo and T. Ertl, "Visualization of Finite-Time Separation in Multiphase Flow" in IEEE Transactions on Visualization and Computer Graphics. doi: 10.1109/TVCG.2024.3493607.
DOI: 10.18419/darus-4225
Abstract
Collision of a droplet chain of a 50% water-glycerol solution colliding with a continuous jet of silicon oil M5, which is a combination of immiscible liquids. The collision process leads to the separation of compound droplets, i.e., the droplets are encapsulated by the jet's liquid. The Cartesian simulation grid originally had a size of 2048 x 1024 x 256 cells covering a domain of 0.704 cm x 0.352 cm x 0.088 cm. The dataset consists of 157 output time steps covering a time span of 1.872 ms. Only half of the jet and droplets were simulated with a mirror boundary condition at the z=0 plane. We reduced the size of the here published data by converting all double-precision floating-point values to single-precision and cropping the grid to regions containing fluid. This results in a grid size of 2048 x 768 x 128 cells. Finally, the data is stored in the VTK XML file format utilizing the built-in zlib compression. The dataset is stored as a rectilinear grid and contains the following fields: f3-function[-]: volume fractions of the f3-field ("droplets"). vof-function[-]: volume fractions of the f-field ("jet"). n_c_3ph[1]: PLIC normals for the f-field in three-phase cells. velocity[cm/s]: velocity-field. In addition, two spatially downsampled variants of the dataset are attached. The 'ds1' directory is a downsampled variant where every eight cells were averaged to a single cell. The 'ds2' directory is downsampled the same way using the 'ds1' data.This simulation is a variant of the simulation initially presented in [1] using a slightly larger domain and was run on the Hawk supercomputer specifically for our paper. The specific method used in the simulation is presented in [2] and is implemented in FS3D [3]. References:[1] Potyka et al.: Towards DNS of Droplet-Jet Collisions of Immiscible Liquids with FS3D, https://doi.org/10.1007/978-3-031-46870-4_14.[2] Potyka and Schulte: A volume of fluid method for three dimensional direct numerical simulations of immiscible droplet collisions, https://doi.org/10.1016/j.ijmultiphaseflow.2023.104654.[3] Eisenschmidt et al., Direct Numerical Simulations for Multiphase Flows: An Overview of the Multiphase Code FS3D, https://doi.org/10.1016/j.amc.2015.05.095.
Heinemann, Moritz/University of Stuttgart, Potyka, Johanna/University of Stuttgart, Schulte, Kathrin/University of Stuttgart, Sadlo, Filip/Universität Heidelberg, Ertl, Thomas/University of Stuttgart
Related to: M. Heinemann, J. Potyka, K. Schulte, F. Sadlo and T. Ertl, "Visualization of Finite-Time Separation in Multiphase Flow" in IEEE Transactions on Visualization and Computer Graphics. doi: 10.1109/TVCG.2024.3493607
%0 Generic
%1 heinemann2024replication
%A Heinemann, Moritz
%A Potyka, Johanna
%A Schulte, Kathrin
%A Sadlo, Filip
%A Ertl, Thomas
%D 2024
%K darus mult ubs_10005 ubs_10006 ubs_10017 ubs_10021 ubs_20008 ubs_20010 ubs_20019 ubs_30086 ubs_30098 ubs_30165 ubs_40153 ubs_40460 unibibliografie
%R 10.18419/darus-4225
%T Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow
%X Collision of a droplet chain of a 50% water-glycerol solution colliding with a continuous jet of silicon oil M5, which is a combination of immiscible liquids. The collision process leads to the separation of compound droplets, i.e., the droplets are encapsulated by the jet's liquid. The Cartesian simulation grid originally had a size of 2048 x 1024 x 256 cells covering a domain of 0.704 cm x 0.352 cm x 0.088 cm. The dataset consists of 157 output time steps covering a time span of 1.872 ms. Only half of the jet and droplets were simulated with a mirror boundary condition at the z=0 plane. We reduced the size of the here published data by converting all double-precision floating-point values to single-precision and cropping the grid to regions containing fluid. This results in a grid size of 2048 x 768 x 128 cells. Finally, the data is stored in the VTK XML file format utilizing the built-in zlib compression. The dataset is stored as a rectilinear grid and contains the following fields: f3-function[-]: volume fractions of the f3-field ("droplets"). vof-function[-]: volume fractions of the f-field ("jet"). n_c_3ph[1]: PLIC normals for the f-field in three-phase cells. velocity[cm/s]: velocity-field. In addition, two spatially downsampled variants of the dataset are attached. The 'ds1' directory is a downsampled variant where every eight cells were averaged to a single cell. The 'ds2' directory is downsampled the same way using the 'ds1' data.This simulation is a variant of the simulation initially presented in [1] using a slightly larger domain and was run on the Hawk supercomputer specifically for our paper. The specific method used in the simulation is presented in [2] and is implemented in FS3D [3]. References:[1] Potyka et al.: Towards DNS of Droplet-Jet Collisions of Immiscible Liquids with FS3D, https://doi.org/10.1007/978-3-031-46870-4_14.[2] Potyka and Schulte: A volume of fluid method for three dimensional direct numerical simulations of immiscible droplet collisions, https://doi.org/10.1016/j.ijmultiphaseflow.2023.104654.[3] Eisenschmidt et al., Direct Numerical Simulations for Multiphase Flows: An Overview of the Multiphase Code FS3D, https://doi.org/10.1016/j.amc.2015.05.095.
@misc{heinemann2024replication,
abstract = {Collision of a droplet chain of a 50% water-glycerol solution colliding with a continuous jet of silicon oil M5, which is a combination of immiscible liquids. The collision process leads to the separation of compound droplets, i.e., the droplets are encapsulated by the jet's liquid. The Cartesian simulation grid originally had a size of 2048 x 1024 x 256 cells covering a domain of 0.704 cm x 0.352 cm x 0.088 cm. The dataset consists of 157 output time steps covering a time span of 1.872 ms. Only half of the jet and droplets were simulated with a mirror boundary condition at the z=0 plane. We reduced the size of the here published data by converting all double-precision floating-point values to single-precision and cropping the grid to regions containing fluid. This results in a grid size of 2048 x 768 x 128 cells. Finally, the data is stored in the VTK XML file format utilizing the built-in zlib compression. The dataset is stored as a rectilinear grid and contains the following fields: f3-function[-]: volume fractions of the f3-field ("droplets"). vof-function[-]: volume fractions of the f-field ("jet"). n_c_3ph[1]: PLIC normals for the f-field in three-phase cells. velocity[cm/s]: velocity-field. In addition, two spatially downsampled variants of the dataset are attached. The 'ds1' directory is a downsampled variant where every eight cells were averaged to a single cell. The 'ds2' directory is downsampled the same way using the 'ds1' data.This simulation is a variant of the simulation initially presented in [1] using a slightly larger domain and was run on the Hawk supercomputer specifically for our paper. The specific method used in the simulation is presented in [2] and is implemented in FS3D [3]. References:[1] Potyka et al.: Towards DNS of Droplet-Jet Collisions of Immiscible Liquids with FS3D, https://doi.org/10.1007/978-3-031-46870-4_14.[2] Potyka and Schulte: A volume of fluid method for three dimensional direct numerical simulations of immiscible droplet collisions, https://doi.org/10.1016/j.ijmultiphaseflow.2023.104654.[3] Eisenschmidt et al., Direct Numerical Simulations for Multiphase Flows: An Overview of the Multiphase Code FS3D, https://doi.org/10.1016/j.amc.2015.05.095. },
added-at = {2024-11-25T13:03:51.000+0100},
affiliation = {Heinemann, Moritz/University of Stuttgart, Potyka, Johanna/University of Stuttgart, Schulte, Kathrin/University of Stuttgart, Sadlo, Filip/Universität Heidelberg, Ertl, Thomas/University of Stuttgart},
author = {Heinemann, Moritz and Potyka, Johanna and Schulte, Kathrin and Sadlo, Filip and Ertl, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ae844fcab559cdbd96bea8db09e4095d/unibiblio},
doi = {10.18419/darus-4225},
howpublished = {Dataset},
interhash = {e7e4464007d6e22d66eb3614bc2a44b5},
intrahash = {ae844fcab559cdbd96bea8db09e4095d},
keywords = {darus mult ubs_10005 ubs_10006 ubs_10017 ubs_10021 ubs_20008 ubs_20010 ubs_20019 ubs_30086 ubs_30098 ubs_30165 ubs_40153 ubs_40460 unibibliografie},
note = {Related to: M. Heinemann, J. Potyka, K. Schulte, F. Sadlo and T. Ertl, "Visualization of Finite-Time Separation in Multiphase Flow" in IEEE Transactions on Visualization and Computer Graphics. doi: 10.1109/TVCG.2024.3493607},
orcid-numbers = {Heinemann, Moritz/0000-0001-5718-8903, Potyka, Johanna/0000-0003-1310-4434, Schulte, Kathrin/0000-0001-8650-5840, Sadlo, Filip/0000-0002-8949-8452, Ertl, Thomas/0000-0003-4019-2505},
timestamp = {2025-03-11T10:37:05.000+0100},
title = {Replication Data for: Visualization of Finite-Time Separation in Multiphase Flow},
year = 2024
}