We have launched our new web application for aerodynamic glider plane design. The new glider plane design web app is now available for you on gliderplanedesign.com. It is based on CAESES running in the background of the web app and allows designers to create their own glider plane design within minutes by changing typical geometry parameters.
Predicting the transitional boundary layer is still an almost impossible task for arbitrary flow conditions. The consideration of the impact of boundary conditions such as pressure gradient, free-stream turbulence and surface roughness demand improved transition models, which are the interest of a research group at the Karlsruhe University for Applied Sciences. CAESES was introduced as the process integration and design optimization (PIDO) platform to optimize the leading edge contour.
We are happy to announce the start of the CAESES Student Award Competition 2020.
Take a look at the first published articles in our academic blog.
You always wanted to know something about the European R&D project HOLISHIP? Check out the new video about the project’s objectives and achievements.
The aerodynamic optimization of bicycle wheels can lead to decisive gains in running pace. Nowadays, aerodynamic performance is one of the key factors considered when racing cyclists purchase new equipment. The aim of this project was to investigate the aerodynamics involved in bicycle wheel design, and to optimize and design a very low drag bicycle wheel rim shape using CAESES & TCFD.
Many of you are experiencing difficulties and restrictions as the new Coronavirus SARS-CoV-2 is spreading throughout the world. Despite these challenging circumstances, we at FRIENDSHIP SYSTEMS are continuing our activities and remain committed to providing the same high level of service and technical support you have grown used to over the past years.
The design and optimization of valves is one of many applications where using CAESES® to robustly automate the processes of systematic geometry variation and analysis of the generated variants with a suitable CFD solver can lead to significant reductions in time-to-market, as well as to a truly optimal design within the specified constraints.