Submitted by Richard Smith on December 9, 2013 - 07:14
It seems that a day doesn't go by without the announcement of a new and innovative flying drone. Joining the throng we have researchers from New York University (NYU) who have developed a drone that flies like a jellyfish, but without the sting! Their work was showcased at the 2013 APS Division of Fluid Dynamics Meeting.
Submitted by Richard Smith on November 15, 2013 - 15:52
Looking to nature for inspiration (biomimicry) is nothing new. I've already covered turbine blades inspired by humpback whale fins and drag-reducing textures that mimic shark skin, so next up we have the elegant spinning maple seed.
CFD Simulation of a Spinning Maple SeedLeading edge vortex shown by streamlines
Submitted by Richard Smith on October 7, 2013 - 14:27
What difference will adding a rear wing to a car make? You can expect an increase in downforce, equivalent to a reduction in lift, and an increase in drag. To quantify these effects I simulated the aerodynamics of a BMW Z3 using Computational Fluid Dynamics (CFD) without a wing and with a wing.
CFD Simulation of a Car with a Rear WingVelocity contours and streamline arrows
Submitted by Richard Smith on September 26, 2013 - 13:40
Given the availability of Computer Aided Engineering (CAE) analysis tools, such as Computational Fluid Dynamics (CFD), it is a surprise that analysis tools are not used more by architects during building concept design, especially relative to the local environment around a building.
Submitted by Richard Smith on September 19, 2013 - 12:07
Researchers at the University of Southampton have tested a model of a Microraptor (a feathered, four-winged dinosaur) in a wind tunnel and found that it was optimized for slow gliding. Its multiple wings performed the same function as a modern-day, high-lift configuration used on airliners for takeoff and landing.
Submitted by symscape on September 4, 2013 - 08:32
The ease of Cartesian or wrapper-based meshing for Computational Fluid Dynamics (CFD), including immersed boundary methods, is predicated on having a suitable surface mesh (e.g., STL) as an input. That surface mesh has certain constraints that, if not satisfied, will either cause a poor final mesh or can cause the Cartesian meshing process to fail.
CFD Cartesian MeshSource: Richard Smith EngD Thesis 1996
Submitted by Richard Smith on August 27, 2013 - 12:26
Often in a Computational Fluid Dynamics (CFD) study you will find yourself repeating a series of operations that are prime candidates for automation. For instance, performing an angle of attack (alpha) sweep for an airplane configuration is a great example where automation can be a significant time saver as I will demonstrate.
CFD Simulation of an AirlinerAlpha = 6 degrees, velocity contours and arrows