Aircraft manufacturers continually strive to design faster and more efficient airplanes. Reducing the aerodynamic drag of an aircraft produces a proportional reduction in fuel consumption. Predicting drag with computational fluid dynamics (CFD) can be very challenging, particularly for modern commercial aircraft that fly at transonic speeds. For the complex geometries encountered on these aircraft, creating meshes that resolve flow structures to achieve the necessary accuracy can be tedious and
In this webinar, discover how to:
Chris Sideroff joined Pointwise in September 2007 after working as a petroleum engineer for the NATCO Group, a CAD engineer for ARV Development, and a computer technician for Harddata Ltd. Dr. Sideroff earned both a B.S. and M.S. in mechanical engineering from the University of Alberta in 2000 and 2003. He earned a Ph.D. in mechanical engineering from Syracuse University in 2009, where his dissertation subject was "Detailed Examinations of the Human Micro-Environment by CFD".
Travis Carrigan joined Pointwise as a senior engineer after completing his M.S. in aerospace engineering at The University of Texas at Arlington in May 2011 where his graduate research involved aerodynamic design optimization. Currently, as Manager of Technical Sales, Mr. Carrigan works with prospective customers and demonstrates how Pointwise software can be used to improve their CFD process. He also produces technical marketing content and works with customers and software partners to demonstrate best practices in grid generation, solver setup, and solution post-processing for a variety of industries.