Data for the paper "Self-sorting of bidisperse particles in evaporating sessile droplets"

This dataset contains simulation data corresponding to the study presented in the paper titled: "Self-sorting of bidisperse particles in evaporating sessile droplets" Authors: Aman Kumar Jain, Fabian Denner, and Berend van Wachem

Dataset Structure The dataset includes six folders, each representing a distinct simulation case (C1 through C6) from Stage 2 of the simulation study, as outlined in Table 3 of the paper.

Cases C1 and C2: Simulate droplets with an initial contact angle of 60°.

Cases C3 and C4: Simulate droplets with an initial contact angle of 90°.

Cases C5 and C6: Correspond to additional conditions as specified in the publication.

In each pair of cases:

Odd-numbered cases (C1, C3, C5) neglect Marangoni stresses.

Even-numbered cases (C2, C4, C6) include Marangoni stresses.

The suffixes in the case folder names denote particle types:

“_S”: Standard silica particles

“_N”: Neutrally buoyant particles

Each case folder contains:

Subdirectories:

Fields: Fluid field data (e.g., velocity, pressure)

DMs: Particle and domain-related metadata

Meshes: Computational mesh files

Particles: Lagrangian particle data

Visualization files:

results.xmf: XMF wrapper for reading fluid data (velocity, pressure, liquid volume fraction α) in ParaView

results_DEM.xmf: XMF wrapper for particle data visualization (e.g., position, velocity)

Particle position data:

Five CSV files representing particle positions at five distinct time instances.

Analysis Script A Python script named ParticleCombined.py is included. This script processes the particle position CSV files from each case folder to compute particle surface density over time.