Project Overview
Fluid dynamics simulation (CFD) uses numerical methods and computer algorithms to simulate and analyze fluid flow and related phenomena. This process involves discretizing the fluid field into computational grids and solving complex mathematical equations that control fluid dynamics. By using advanced computational models, CFD simulations can predict and display fluid behavior, including flow patterns, pressure distribution, temperature changes and turbulence in different environments or systems.
Core advantage
Our team specializes in complex hydrodynamic analysis and can handle the coupling and personalized requirements of a variety of complex situations. Using the advanced finite element method, we can construct a logical fluid model to ensure that the simulation results are highly consistent with the experimental values.
With the help of rich parameters and profound numerical simulation experience in the field of multi-scale simulation, we can provide sufficient and reliable input parameters to improve the accuracy and reliability of simulation results.
We have powerful CPU and GPU computing resources that can quickly handle large-scale models. The combination of mature statistical methods and AI technology can improve the accuracy and reliability of the data.
Classic case
We make an in-depth analysis of the complex three-dimensional flow and heat transfer phenomena in energy storage equipment. The temperature field is accurately predicted by large eddy simulation (LES), unsteady Reynolds average simulation (URANS) and advanced turbulence model; the significant influence of jet phenomenon on flow and heat transfer is revealed by three-dimensional flow field visualization; the machine learning framework is successfully applied to complex fluid (three-dimensional, transient) numerical simulation to realize engineering application.