网格自适应加密在汽车CFD中的应用

The application study of adaptive mesh refinement in automotive CFD

以CAERI Aero Model为基础研究模型,提出基于网格自适应加密方法的自动化计算流程,验证了该方法在汽车空气动力学CFD仿真中计算结果的准确性及应用可行性。对比网格自适应加密与传统网格加密计算方法,结果表明:应用基于网格自适应加密方法的CFD计算结果与风洞试验误差小于1%,该方法仿真精度高;在保证流场三维结构一致的情况下,能减少整车约13%的体网格数量;提高计算时间效率约9.6%。研究结果可为网格自适应加密方法在汽车CFD中的应用提供重要参考。

Based on the CAERI Aero Model,this paper proposes an automated computational workflow by employing adaptive mesh refinement method and validates the accuracy and feasibility of this method in automotive aerodynamics CFD simulations.Compared with the traditional grid refinement methods in wind tunnel experiments,the adaptive mesh refinement method used for CFD calculations exhibits an error of less than 1%,showcasing its high simulation accuracy.While maintaining a consistency in the three-dimensional structure of the flow field,it reduces the overall volume mesh count of the whole vehicle by approximately 13%and improves the computational efficiency by about 9.6%.Thus,our research findings may provide valuable reference for the application of the adaptive mesh refinement method in automotive CFD simulations.