AirShaper Launches Aerodynamic Shape Optimization Software
New software uses algorithms to automatically optimize your design, helping you achieve aerodynamic performance goals.
April 22, 2021
AirShaper has released the new Aerodynamic Shape Optimization software, which is designed to transform the conventional approach to aerodynamic design. Algorithms automatically optimize a design's shape, helping users achieve aerodynamic performance targets and reach the optimum solution faster, the company reports.
Aerodynamic Shape Optimization Explained
This technique is an iterative development process where a design’s shape is analyzed, modified and re-analyzed to improve performance. The cycle repeats until the optimum solution that meets drag, lift and downforce targets is found.
Wind tunnel tests and computational fluid dynamics simulations are often used for optimization, but involve manually adjusting physical and virtual models. Shape optimization algorithms can automate this process, iterating through thousands of optimization cycles quickly and efficiently.
Typically, this functionality is only available within expensive CFD packages. However, AirShaper is proud to launch a fast and easy alternative—making optimization software accessible for everyone.
How Does It Work?
Utilizing the adjoint optimization technique, algorithms create accurate sensitivity maps of an object’s surface in just a single simulation. The automated optimization sequence then morphs the shape of the object, the results are analyzed and the process repeats.
All that is needed is to upload a 3D model, specify the orientation, wind speed, morphing space and performance targets, and the software will deliver a fully optimized 3D model.
This software can optimize any application where drag, lift and downforce are relevant. So, whether users are aeronautical designers, a major sport performance company or a small start-up specializing in electric mobility—AirShaper’s Aerodynamic Shape Optimization software can streamline the aerodynamic development processes.
Several electric vehicle projects have used this shape optimization approach to reduce drag. The less drag an electric vehicle experiences, the less energy it requires and the further it can travel on one charge.
Companies such as MV Agusta have used the tool to increase top speed and downforce of their motorbikes.
The Aerodynamic Shape Optimization tool has also been used for Decathlon, a major sports equipment manufacturer, to optimize the performance of its upcoming Van Rysel bicycle helmet.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
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