CLIP: A CUDA-Accelerated Lattice Boltzmann Framework for Interfacial Phenomena with Application to Liquid Jet Simulations
Mehdi Shadkhah, Mohammad Taeibi Rahni, Azadeh Kebriaee, Mohammad Reza Salimi

TL;DR
CLIP is a GPU-accelerated lattice Boltzmann framework that enables efficient, large-scale simulations of complex two-phase flows, validated through benchmark tests and applied to liquid jet breakup analysis.
Contribution
This work introduces CLIP, a CUDA-accelerated lattice Boltzmann framework utilizing WMRT collision operator for stable, high-fidelity multiphase flow simulations on standard hardware.
Findings
Achieves significant speedups using GPU parallelism.
Successfully simulates liquid jet breakup and flow regimes.
Results align closely with experimental data.
Abstract
This work introduces CLIP, a CUDA-accelerated phase-field lattice Boltzmann framework for simulating immiscible two-phase flows with high density and viscosity ratios in both two- and three-dimensional domains. By leveraging GPU parallelism, the framework delivers substantial computational speedups, enabling large-scale simulations to be performed efficiently on standard desktop hardware without the need for high-performance computing clusters. It employs the Weighted Multi-Relaxation Time (WMRT) collision operator to enhance numerical stability and improve interface tracking under challenging multiphase conditions. The model is validated through a series of benchmark cases, including capillary wave dynamics, stationary drop tests, two-phase Poiseuille flow, shear-driven interface deformation, and Rayleigh-Taylor instability. It is further applied to simulate liquid jet breakup,…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Fluid Dynamics and Heat Transfer · Innovative Microfluidic and Catalytic Techniques Innovation
