Swen has over 15 years experience of in bringing simulation technology to the Aerospace & Defense Industry. In his current role, he supports SIMULIA R&D in defining product requirements for A&D customers and enabling Sales and Partners to deploy SIMULIA solutions in the industry.
Prior to joining Dassault Systemes, he served as Vice President of Aerospace at Exa Corporation, leading a team to develop and deploy Exa’s fluid flow simulation technology. He spent over 20 years at Exa in technical and business development roles for the automotive and aerospace industries.
Swen received a Master of Science Degree in Mechanical and Aerospace Engineering from the University of Arizona and a Ph.D. in Aerospace Engineering from the University of Stuttgart, Germany.
Edoardo GRANDE was born in Avellino (Italy). He completed both his Bachelor's and Master's degrees in Aeronautical Engineering at Roma Tre University. Subsequently, he started a PhD at Delft University of Technology, focusing on the aeroacoustics of propellers for UAV applications, by using both experimental and numerical methods. Currently, Edoardo works as an Acoustic and Vibration Engineer at Airbus Defence and Space in Manching (Germany). His responsibilities primarily involve predicting rotor and cavity noise, and he is currently in the final stages of completing his PhD.
Edoardo GRANDE will participe with the following topic: "Aeroacoustic Study of a Twin-Turboprop Aircraft using the Lattice-Boltzmann Method "
Abstract: The present study focuses on the prediction of ground-based tonal noise generated by a twin-turboprop aircraft in cruise flight at different heights and thrust conditions, by means of a CFD/CAA-based approach. The unsteady flow solution of the 1:1 scale model is obtained by using the Lattice-Boltzmann/Very Large Eddy Simulation method. Numerical predictions are validated against noise measurements conducted on the entire aircraft configuration. Microphones were positioned both parallel and perpendicular to the flight path, in order to capture the directivity of the aircraft noise.
The far-field noise spectra, computed via the Ffowcs-Williams and Hawkings´ acoustic analogy applied to the propeller and airframe surfaces, show a good correspondence between the numerical and experimental results at the first and second blade passing frequencies. Furthermore, the on-ground noise footprints reveal that the employed method is able to capture the complex acoustic field generated by the propellers and its scattering on the airframe. Finally, the noise signatures over time at prescribed ground microphone locations are calculated using an atmospheric propagation model based on a ray tracing method.
Matt LANGFORD is the Chief Engineer at Techsburg, Inc. (located in Christiansburg VA), where he has worked since 2003. His technical focus over that time has been on aerodynamics and aeroacoustics of aircraft propulsion systems, including fans, propellers, vertical lift, and gas turbines. He has split time between experimental and computational projects, but efforts since 2020 have focused on unsteady computational fluid dynamics and computational aeroacoustics using the SIMULIA PowerFLOW® lattice-Boltzmann method solver.
Matthew LANGFORD will be involved with the following topic: “Aircraft Noise Prediction with PowerFLOW®”
Abstract: Predicting aircraft noise has historically forced a tradeoff between low-order tools with known limitations and high-fidelity simulations requiring massive computational resources. The lattice-Boltzmann method (LBM) offers a third way.
In this webinar, we will demonstrate how the LBM-based CFD solver SIMULIA PowerFLOW® breaks this paradigm, enabling rapid and robust aeroacoustic analysis for even the most complex geometries and flow conditions. Drawing on over five years of experience, Techsburg will showcase how we have used PowerFLOW® to tackle challenging problems in predicting aircraft noise, including: