宾尼法利纳风洞广泛应用于空气动力学和空气声学领域，主要用于全尺寸乘用车。
风洞服务
- 空气动力学测试
- 空气声学测试
- 建筑结构测试
空气动力学测试
宾尼法利纳风洞是一种用于空气动力学测试的精密工具。通过不断引入前沿技术和方法，可以不断提高测量工作的真实性和准确性。例如，通过利用地面效应模拟系统复现地面与车辆之间的相对运动，可以大大提高车身底部流动特征的准确性。此外，可以通过湍流生成系统模拟环境风、超车和阵风，进而可以在逼真的流动条件下进行空气动力学和气动声学分析。除空气动力测量以外，风洞还提供一系列测量技术，能够捕获冷却流、压力场、涡度和逆流区域。
地面效应模拟系统
地面效应模拟系统（GESS）可以复现地面与移动车辆之间的相对运动。该系统由四个滚筒以及三条与流速同步移动的皮带组成。三条皮带的宽度相当于前轴前方的车辆宽度，中间皮带在整个车辆长度的下方移动。这种配置可以在车辆前部提供相当近似的地面效应，非常适合高性能应用场景和赛车运动。
湍流生成系统
湍流生成系统（TGS）利用车辆上游的五对扑翼，生成整个冯卡门频谱频率的湍流。通过改变TGS的扑动频率和相位，可以复现各种流动条件。利用该系统，客户获得的空气动力学和空气声学测量结果可以更准确地代表现实世界条件下的情况。TGS能够复现：
• 产生下压压力的车辆的尾流
• 产生升力的车辆的尾流
• 环境风况（高流量和低流量）
• 车辆超车动作的初始阶段
• 连续偏航角变化
• 阵风（正面和侧面）
流动可视化与测量
基于数十年的研发经验，宾尼法利纳掌握了各种流动可视化和测量技术。专有的PF14压力探头可用于快速测量平面沿线的速度场、压力场、涡度和微阻力，从而为给定流场的评估以及与CFD模拟的相关性提供有价值的信息。此外，对于外流和冷却流的测量，宾尼法利纳还提供3D立体PIV、基于压力的方法、叶轮风速测量方法等光学测量方法。
空气声学测试
无论是在车舱内、游艇舵柄处还是高层建筑的阳台上，气动噪声都会对用户舒适度和感知产生巨大影响。无论面对何种应用场景，宾尼法利纳风洞都有着完备的配置，能够对气动噪声进行识别和特征化处理。此风洞采用正面、侧面和顶面外部麦克风阵列，结合波束形成分析来精确定位外部气动噪声的声源。对于内部噪声，可通过四个校准后的声头进行量化处理，或者也可通过球形麦克风矩阵进行可视化处理，从而识别噪声的进入点。
建筑结构测试
宾尼法利纳风洞（Pininfarina Wind Tunnel）的应用范围远不止汽车行业。例如，可以在风洞中评估建筑物的比例模型以及全尺寸架构组件，从而确定空气动力学和气动声学方面的性能。
考虑到建筑结构的几何形状，某些建筑特征可能会给建筑物带来过度的振动和风荷载，从而危及建筑物的结构完整。此外，建筑元素的设计或布局不当可能会给建筑所在的整个街道以及住户带来巨大的风噪声。因此，对于发现和解决潜在问题以及保障最高的结构性能和噪声舒适度水平来说，在风洞中进行空气动力学和空气声学分析至关重要。
应用领域
车辆的空气动力学和空气声学分析
乘用车
赛车
低阻力研究车
重型卡车（比例模型）
两轮车
飞行器（比例模型）
工业用车
高速列车（比例模型）
组件（敞篷、软顶、内流、散热器、滑雪板架等）
风力工程、体育运动等
建筑（比例模型或剖面）
基础设施（比例模型或剖面）
桥梁（比例模型或剖面）
体育用品
运动员
Expertise in Aerodynamic and Aeroacoustic Testing
Design and Validation
Pininfarina’s Wind Tunnel in Grugliasco, near Turin, is a key in-house facility for a design house that directly connects design, engineering and experimental validation. This integration allows aerodynamic performance to inform the project from its earliest stages, supported by data generated within the same development environment.
The testing process can begin with initial sketches and early volumetric data, continue through simulations and physical models, and progress to the testing and validation of the final prototype. Aerodynamics therefore becomes an integral part of product development rather than a separate verification activity performed only once the design has been defined.
CFD and Wind Tunnel Testing
Computational Fluid Dynamics analysis enables teams to assess geometries and configurations rapidly, identifying the most promising design directions. Subsequent wind tunnel testing makes it possible to compare numerical predictions with experimental measurements collected under controlled conditions.
Through iterative cycles of CFD simulation, physical testing and model refinement, the correlation between numerical and experimental data becomes progressively more accurate. Aerodynamic findings can then be translated into practical guidance for both design and engineering, supporting decisions on form, performance and technical development.
Wind Tunnel Applications
The flexibility of the facility supports testing programs tailored to a wide variety of objects and operating conditions. In addition to cars, the test chamber can accommodate motorcycles in different riding configurations, individual components, sports equipment, technical fabrics and sections of buildings.
Testing can assess performance, stability and aerodynamic, thermal and acoustic comfort. It may also examine how people respond when exposed to airflow, within clearly defined safety parameters.
This versatility extends the scope of aerodynamic research beyond conventional vehicle development. Testing equipment, configurations and protocols can be adapted to the specific objectives, dimensions and requirements of each project.
Tailored Workflows
Much of the software used to acquire, control, process and present test data is developed in-house. This makes it possible to configure workflows, reports and deliverables around each client’s requirements, without relying exclusively on standardized tools and predefined outputs.
The Wind Tunnel therefore operates as a flexible development platform. It measures performance, makes aerodynamic and aeroacoustic phenomena visible, and turns test results into actionable information. By supporting faster and better-informed decisions, it contributes to product development from early exploration through final validation.