Tootfinder

Improvement of Solid-Fluid Interaction Scheme in Lattice Boltzmann Immiscible Pseudopotential Models
Yizhong Chen, Zhibin Wang
https://arxiv.org/abs/2505.22256

Improvement of Solid-Fluid Interaction Scheme in Lattice Boltzmann Immiscible Pseudopotential Models
The pseudopotential model within the Lattice Boltzmann Method (LBM) framework has emerged as a prominent approach in computational fluid dynamics due to its dual strengths in physical intuitiveness and computational tractability. However, when modeling wettability phenomenon, existing solid-fluid interaction schemes exhibit persistent challenges in multi-component immiscible fluid systems, notably manifested through spurious velocity artifacts and unphysical mass-transfer boundary layers. This …

A fluctuating lattice Boltzmann method for viscoelastic fluid flows
Juanyong Wang, Xinyue Liu, Lei Wang, Yuan Yu, Yiran Ji
https://arxiv.org/abs/2506.13072

A fluctuating lattice Boltzmann method for viscoelastic fluid flows
This study introduces a novel fluctuating lattice Boltzmann (LB) method for simulating viscoelastic fluid flows governed by the Oldroyd-B model. In contrast to conventional LB approaches that explicitly compute the divergence of the polymer stress tensor using finite-difference schemes, the proposed method incorporates the polymer stress implicitly by introducing a polymer stress fluctuation term directly into the evolution equation. This treatment avoids the need for stress-gradient computatio…

This https://arxiv.org/abs/2501.02161 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Improved adjoint lattice Boltzmann method for topology optimization of laminar convective heat transfer
Solving flow-related inverse problems such as topology optimization problems is intricate but significant in various engineering fields. The lattice Boltzmann method (LBM) and the related adjoint method are highly suitable to perform sensitivity analysis in flow-related inverse problems thanks to their strong capability to handle complex structures and excellent parallel scalability. However, the current continuous adjoint LBM shows theoretical inconsistency and poor numerical stability for ope…

Higher-order Tuning of Interface Physics in Multiphase Lattice Boltzmann
Matteo Lulli, Emily S. C. Ching
https://arxiv.org/abs/2505.23647 https://

Higher-order Tuning of Interface Physics in Multiphase Lattice Boltzmann
Tuning the interface properties of multiphase models is of paramount importance to the final goal of achieving a one-to-one matching with nucleation and cavitation experiments. The surface tension, at the leading order, and the Tolman length, at higher order, play a crucial role in the estimation of the free-energy barrier determining the experimentally observed nucleation rates. The lattice Boltzmann method allows for a computationally efficient modelling approach of multiphase flows, however,…

A Method for Analytical Solutions in the Lattice Boltzmann Method
Jordan Larson, Alexander J. Wagner
https://arxiv.org/abs/2505.24170 https://

A Method for Analytical Solutions in the Lattice Boltzmann Method
Analytical solutions to the lattice Boltzmann Equation make it possible to study the method itself, explore the properties of its collision operator, and identify implementations of boundary conditions. In this paper, we propose a method to find analytical solutions where the macroscopic flow profile is known. We test this method on bulk Couette flow aligned and inclined to the simulation lattice with the quadratic and entropic equilibrium distributions. Our method indeed provides an analytical…

Reduction of Outflow Boundary Influence on Aerodynamic Performance using Neural Networks
Mario Christopher Bedrunka, Dirk Reith, Holger Foysi, {\L}ukasz {\L}aniewski-Wo{\l}{\l}k, Travis Mitchell
https://arxiv.org/abs/2506.05293

Reduction of Outflow Boundary Influence on Aerodynamic Performance using Neural Networks
The accurate treatment of outflow boundary conditions remains a critical challenge in computational fluid dynamics when predicting aerodynamic forces and/or acoustic emissions. This is particularly evident when employing the lattice Boltzmann method (LBM) as the numerical solution technique, which often suffers from inaccuracies induced by artificial reflections from outflow boundaries. This paper investigates the use of neural networks (NN) to mitigate these adverse boundary effects and enable…

This https://arxiv.org/abs/2505.22256 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Improvement of Solid-Fluid Interaction Scheme in Lattice Boltzmann Immiscible Pseudopotential Models
The pseudopotential model within the Lattice Boltzmann Method (LBM) framework has emerged as a prominent approach in computational fluid dynamics due to its dual strengths in physical intuitiveness and computational tractability. However, when modeling wettability phenomenon, existing solid-fluid interaction schemes exhibit persistent challenges in multi-component immiscible fluid systems, notably manifested through spurious velocity artifacts and unphysical mass-transfer boundary layers. This …

Analytical solution for dynamic evaporation of liquid in isothermal condition
Luiz Eduardo Czelusniak, Tim Niklas Bingert, Stephan Simonis, Alexander J. Wagner, Mathias J. Krause
https://arxiv.org/abs/2506.02270

Analytical solution for dynamic evaporation of liquid in isothermal condition
An analytical solution based on a diffuse interface model is presented for an isothermal evaporation problem under sub-saturation pressure. The macroscopic equations are derived from the free-energy method, widely recognized in the lattice Boltzmann literature, distinguishing our approach from conventional evaporation models that rely on jump conditions or pure kinetic theory. The interface behavior is fully described by differential equations, eliminating the need for assumptions such as local…