重庆理工大学学报2024，Vol.38Issue(9)：95-101,7.DOI:10.3969/j.issn.1674-8425(z).2024.05.012
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
摘要
Abstract
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.关键词
汽车空气动力学/网格自适应加密/CAERI Aero Model/CFDKey words
automobile aerodynamics/adaptive mesh refinement/CAERI Aero Model/CFD分类
交通工程引用本文复制引用
陈祎,秦玲,肖竣夫,徐磊,王庆洋..网格自适应加密在汽车CFD中的应用[J].重庆理工大学学报,2024,38(9):95-101,7.基金项目
国家重点研发计划项目(2022YFE0208000) （2022YFE0208000）
