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January 17, 2026Journal of Fluid Mechanics3 citations

Lattice Boltzmann modelling of diverse particle deposition patterns by droplet evaporation

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FQFeifei QinLFLinlin FeiJZJianlin Zhao

Key Points

  • This work aims to develop a lattice Boltzmann model to understand particle deposition patterns caused by droplet evaporation.
  • Developed a lattice Boltzmann model for multiphase flow and particle deposition.
  • Validated the model with benchmarks against theoretical and experimental results.
  • Conducted parametric studies on the effects of solvent, particle, and substrate properties on deposition patterns.
  • Quantified deposition patterns using the average ratio of particles at droplet periphery versus center.
  • Successfully reproduced various deposition patterns including coffee rings and uniform patterns.
  • Identified the influence of capillary transport and particle diffusion on deposition pattern characteristics.
  • Established a linear relationship between the average ratio of deposited particles and the average Péclet number, validated across multiple simulation scales.

Abstract

In this work, we propose a lattice Boltzmann model (LBM) to simulate diverse particle deposition patterns induced by isothermal droplet evaporation. The model is composed of two distributions, for the multiphase flow with phase change, and the particle transport with deposition, coupled with a contact angle hysteresis model for the contact line stick-slip dynamics. The model is validated by two benchmarks, and our simulations agree well with the theoretical solutions or experimental results. With the validated LBM, we first reproduced diverse deposition patterns, ranging from the coffee ring, uniform, to mountain-type patterns in single and multiple symmetrical/unsymmetrical forms. Then a parametric study is conducted to investigate how the solvent/particle/substrate properties affect the evaporation dynamics and resultant deposition patterns. Afterwards, we apply the average ratio (r, ₀) of particles deposited at the droplet periphery and the centre to quantitatively classify the diverse emerging patterns. We show that r, ₀ is controlled by the competition between the capillary transport and particle diffusion, leading to a linear dependence on the average Péclet number Pe₀. Finally, we validated the scaling by lattice Boltzmann simulations with the proposed Pe₀ spanning over three orders of magnitude, supplemented by discussions from the aspect of the particle transport equation.

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Cite This Study

Qin et al. (2026) studied this question.

synapsesocial.com/papers/696b26d7d2a12237a934a117https://doi.org/10.1017/jfm.2025.11067
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