Vibro-Acoustic Response Prediction of the Bartolomeo Multi-Purpose Payload
K. Abdoly, L. Van Der Smissen Airbus Defence and Space GmbH - Bremen (Germany)
M. Brandstetter, D. Binet, Free Field Technologies, part of Hexagon's Manufacturing Intelligence division
How to get acoustic performances in real-time using machine learning?
Predicting the Acoustic Signature of Electric Vehicle Powertrains
Sound Attenuation Prediction of High Speed Railway Sound Barrier with Actran
Make your tire noise predictions smarter with acoustic simulation
Royal Enfield - Motorbike Pass-by Noise
Actran Helps to Predict the Vibro-acoustic Response of Satellite Solar Arrays
Shaping a Smart and Connected World: Avio to Ensure Spatial Launchers Structural Integrity
Sustainable Engineering is Good Business Sense: CAE Can Solve Global Environmental Challenges
Actran Helps Reduce Time to Optimize Design of Active Pedestrian Alerting System by 50%
Numerical investigation of indirect combustion noise mechanisms in a nozzle
T. Deconninck; A. Appel de Gardane; Y. Detandt; C. Legendre and G. Lielens - Hexagon | Free Field Technologies
A. Vallon - Safran Helicopter Engines
Proceeding of the 23rd International Congress on Acoustics (ICA)
Parametric analysis of an automotive wheel arch acoustic treatment
R. Baudson, V. Sujjur Balaramraja, B. Van den Nieuwenhof - Hexagon | Free Field Technologies
T. Lafont, F. Ronzio - Autoneum Management AG
Proceedings of the Automotive Acoustics Conference 2019