Robust Aerodynamic Shape Optimization of Automotive Vehicles

该项目的主要目标是展示基于伴随的空气动力学设计优化的应用，以改善汽车在满足车辆实用性和美学约束的情况下的外观形状的空气动力学性能。汽车的空气动力学基本上是由减少阻力压力分量的需要驱动的，在这种情况下，车辆后部通常会有一个大的分离区域。此外，次要部件，如侧视镜，在挑战中引入障碍物和化合物，以减少总阻力。因此，评估气动性能和重新设计外形的数值方法对于在这个竞争激烈的领域取得进展至关重要。菲亚特克莱斯勒汽车加拿大公司(FCA)目前采用开源计算流体力学软件与商业伴随包相结合的方式来形成ADO数值框架，以实现所述目标。然而，多年来，这一框架的应用导致了不一致的结果。此外，这种方法经常产生不平坦的表面几何图形，从美学的角度来看，这使得形状无效。因此，该项目的目标是展示我们内部数字框架在通用汽车几何设计方面的能力。

The primary objective of the project is to demonstrate the application of adjoint-based aerodynamic design optimization to improve the aerodynamic performance of automotive vehicles with respect to the exterior shape of the vehicle subject to constraints on the vehicle utility and aesthetics. Aerodynamics of automotive vehicles are essentially driven by the need to reduce the pressure component of drag, where a large separated region often prevail in the rear of the vehicle. In addition secondary components such as side-view mirrors introduce obstructions and compounds on the challenge to reduce the total drag. Thus numerical methods to assess the aerodynamic performance and redesign the shape is critical to advance in this highly competitive field. Fiat Chrysler Automobiles Canada (FCA) currently employs a combination of open source computational fluid dynamics software with a commercial adjoint package to form an ADO numerical framework to achieve the stated objective. However, application of this framework has resulted into inconsistent results over the years. Moreover the approach often yields uneven surface geometries which renders the shape ineffective from an aesthetics point of view. Therefore the objective of this engagement is to demonstrate the capabilities of our in-house numerical framework on the design of a generic automotive geometry.