Open AccessAerodynamic shape optimization of racing car front wing
Author(s) -
M Kalinowski,
M. Szczepanik
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1037/1/012058
Subject(s) - computational fluid dynamics , shape optimization , automotive industry , aerodynamics , solver , wing , drag , computer science , process (computing) , flow (mathematics) , mechanical engineering , engineering , aerospace engineering , mathematical optimization , finite element method , mathematics , structural engineering , geometry , operating system
Nowadays, the automotive industry is one of the largest areas of CFD (Computational Fluid Dynamics) simulation applications. The big challenge that engineers dealing with CFD simulations in this industry have to face is shape optimization, which is often very time-consuming and requires a lot of iterations. To reduce the time needed to achieve an optimal shape and make the design process more efficient, more and more CFD analysts are turning to Adjoint Solver (AS) formulas, a new methodology used for optimization in the automotive as well as railway industry. The AS method calculates gradients (directions, quantities) directly by solving conjugate equations, which makes them independent of design variables. The article concerns optimization the shape of the front wing of the racing car in order to obtain the highest possible downforce-to-drag ratio. At the beginning, 2D shape optimization of the front wing was performed. The next stage of work was the preparation of a CAD (3D) model that took into account the change in the shape of the wing, obtained during the optimization process, and then performing a flow analysis for it.