In addition to presentations on the latest developments in the FLOW-3D product family, speakers from Pöyry Energy GmbH, Roche Diagnostics GmbH, ArianeGroup GmbH, Mott MacDonald, EDF-CIH, Österreichisches Gießerei-Institut, JBA Consulting, Form Srl, Vienna University of Technology, Otto-von-Guericke-University Magdeburg, AQUATIS and Endurance Overseas contributed to a successful and informative conference.

CFD simulation of new designs, even in the case of minor changes, is computationally expensive since it requires solving the Navier-Stokes equation for many time steps. To accelerate the process, Umetani and Bickel propose a machine learning framework which predicts aerodynamic forces and velocity and pressure fields given a 3D shape input.

The designed blade shape was put to CFD (computational fluid dynamics) for performance prediction and the DOE (design of experiments) method was used to analyze the effects of the designing parameters on the functionality of the fan.

One of the most frequent requests that Pointwise receives is to add native import and export capability for a grid file format. Unfortunately, there are not enough hours in the workday to fulfill all of these requests.

Students will apply advanced technologies including computational fluid dynamics and electric propulsion to create a boat that is both lightweight to maximize range and ultra-quiet to help catch more fish.

Working with Advania Data Centers and their partner UberCloud, Numeca will now be able to offer its engineering customers the opportunity to run NUMECA’s design, analysis and optimization software in the cloud and on demand.