*** Data underlying the publication: Influence of Concentration on Sedimentation of a Dense Suspension in a Viscous Fluid *** 

Authors: Tariq Shajahan, Wim-Paul Breugem
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering, Department of Process & Energy, Multiphase Systems group.

Corresponding author: Wim-Paul Breugem

Contact Information:W.P.Breugem@tudelft.nl

Multiphase systems, Process and Energy, 3ME
Delft University of Technology
Mekelweg 2, 2628 CD, Delft, The Netherlands


*** General Introduction ***
In this work, we examine the effect of concentration on the structure and dynamics of sedimenting suspensions by performing direct numerical simulation based on an Immersed Boundary Method of monodisperse sedimenting suspensions of spherical particles
This data set contains the data to corresponding to the results of "Shajahan, T., Breugem, W. Influence of Concentration on Sedimentation of a Dense Suspension in a Viscous Fluid. Flow Turbulence Combust 105, 537–554 (2020). https://doi.org/10.1007/s10494-020-00172-8"


*** Method : Direct Numerical Simulations (DNS) ***
Fully resolved DNS is carried out in a triply periodic rectangular domain filled with a viscous fluid in which immersed non-colloidal spherical particles are allowed to settle under gravity. 
The two phases in the simulation (fluid and particulate) are treated independently and coupled through a no-slip boundary condition enforced on the surface of the particle. 
The solution to the fluid phase is computed on a fixed Eulerian mesh and the moving surface of the particle is represented using a Lagrangian mesh that translates with the particle.
The simulation code is developed in house and written in FORTRAN90. 
MATLAB has been used to generate the final figures presented in the article.


*** Description of the data ***
Fig1_CaseA-J	:	Settling velocity of suspensions
Fig2		:	Computational domain visualization
Fig3_DNS/Exp	:	Comparison of simulation and experiment of single settling particle
Fig4a-d		:	Instantaneous snapshots of settling particles
Fig5_CaseA/F/J	:	Particle conditioned average of particle distribution
Fig6a-c		:	Mean flow field around a particle
Fig7		:	Scaling of settling velocity
Fig8		:	Mean square displacement
Fig9		:	Dispersion rate
Fig10		:	Scaling of sedimentation flux
Fig11		: 	Propagation of Kinematic waves
Fig12		:	Comparison of velocity of kinematic waves with Kynch theory

"plotFigs.m" is a MATLAB script to plot the data set i.e all the figures in the published article. 
The name of the dataset corresponds to the figure number in the article. 
Some of the 2D profiles are provided as ".mat" files.


