Wind Funnel to Replace CFD
Anyone well versed in aerodynamics knows that Computational Fluid Dynamics (CFD) is an indispensable analysis tool - just ask the automotive industry. However, CFD, like all analysis methods, has limitations. For example, try calculating the unsteady air flow around an entire Formula One (F1) car in less than a week. Fear not though; help may be at hand in the form of a new experimental analysis method using a Wind Funnel.
Researchers at the Institute of Fluid Dynamics and Turbulence (IFDT) have recently found that funneling air around scale models of airplanes and cars in a device called a Wind Funnel (WF) can produce reasonably good agreement with CFD predictions of lift/downforce and drag.
The WF is a special shaped duct (similar to a venturi) that focuses oncoming air (much like a lens focuses light) to flow over an object. The mobile WF duct is simply placed in a windy location (similar to locating a wind turbine) and with minimal setup time it is ready to perform an air flow simulation. Using renewable wind power means that the WF is carbon neutral, in contrast to power hungry CFD simulations running on high performance computer clusters.
WF can produce results almost instantaneously once the model is configured, whereas to obtain results from a CFD calculation can take from seconds to weeks.
Professor Prandtl Reynolds, leading the IFDT research team, cites a number of challenges that still require more research before WFs can fully, if ever, replicate CFD results.
The models currently used in the WF have smooth surfaces, free of the faceted surfaces found in CFD. To achieve better agreement with CFD results, Reynolds is investigating using rapid prototyping machines that accurately preserve the faceted surfaces used in the CFD simulation.
The WF neglects certain key CFD features such as turbulence models and artificial viscosity, but Reynolds believes that advanced real-time averaging of the WF data, combined with carefully tuned correction factors, will compensate for these discrepancies.
Reynolds doesn't have any answer yet for how to replicate general potential flow simulations. However, he does note that for smooth streamlined shapes the results from WF are usually in good agreement with computed potential flow results.
With the latest manufacturing techniques it is possible to produce scale models for the WF quicker than the time it takes to mesh a complex CFD model. WF researchers are also investigating nano-manufacturing, where objects are built molecule by molecule. See the nano-machine in action. This approach was inspired by CFD meshing principles, where a mesh is built element by element. The drawback to such an approach is that in both scenarios the process can take a long time - in the order of weeks.
While it's unlikely that the WF will ever totally replace CFD, it is clearly a promising tool for the aerodynamic arsenal in tackling the toughest air flow problems.
Reynolds jokes that in the future he may consider selling carbon credits so those performing CFD simulations can offset the carbon produced in powering their high performance computer clusters.
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