| A python-based phase-field MRT lattice Boltzmann model for three-component flows |
| کد مقاله : 1692-ISME2025 |
| نویسندگان |
|
محمدرضا عهدی، عادل عبادی، علی باقری برمس، سید مصطفی حسینعلی پور * دانشگاه علم و صنعت ایران |
| چکیده مقاله |
| This study presents the development of a Python-based phase-field MRT-LBM model capable of handling high-density ratio flows up to O(1000) while ensuring computational stability. The model is implemented using PyTorch, leveraging GPU parallel computing to enhance performance. A comparative analysis between single-relaxation-time (SRT) and multi-relaxation-time (MRT) formulations demonstrates that the MRT model more effectively recovers the governing equations and maintains numerical stability, making it a robust choice for multiphase flow simulations. To assess computational efficiency, performance benchmarking was conducted using RTX 3070 and RTX 4070 GPUs, achieving 7.32× and 16.30× process speed, respectively, compared to CPU-based implementations. These results underscore the potential of PyTorch as a viable alternative to low-level programming languages (e.g., FORTRAN, C++) for computational fluid dynamics (CFD) simulations, particularly in lattice Boltzmann methods (LBM). The findings highlight the feasibility of high-performance, GPU-accelerated numerical solvers in advancing CFD applications while maintaining ease of implementation through high-level programming frameworks. |
| کلیدواژه ها |
| Lattice Boltzmann Method, Multi-Component flows, PyTorch. |
| وضعیت: پذیرفته شده برای ارائه شفاهی |