Open AccessResearch on automatic aerodynamic optimization for a SUV based on RBF model
Author(s) -
Liguang Wu,
Yue Fu,
Xixi Bu,
X R Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/4/042025
Subject(s) - windshield , aerodynamics , drag coefficient , aerodynamic drag , angle of attack , automotive industry , software , computer science , drag , automotive engineering , mechanical engineering , engineering , simulation , aerospace engineering , programming language
Considering the continuous shortening of automobile R & D cycle, mathematical methods have been more used in automotive aerodynamic optimization design for their capability to fit the law and calculate the optimal results. In this paper, the deformation software, fluid analysis software and optimization software are connected to build an automatic aerodynamics optimization platform of automotive shape. Based on the RBF model, the automatic aerodynamic optimization for a SUV is completed with the front windshield angle, rear windshield angle, engine cover angle, approach angle and departure angle as design parameters and the drag coefficient as design objective. The drag coefficient of the optimal model is 9.40% lower than that of the initial model, and remarkable drag reduction effect is achieved.