Thesis - Hybrid Aeroacoustic Investigation: Aeroacoustic source terms from PANS
The scope of this master thesis is to investigate aeroacoustic noise emission from the case of a rotating axial fan, applying to the so-called hybrid Computational Aero-Acoustic (CAA) approach. A primary objective is to investigate the capabilities of the Partially Averaged Navier-Stokes (PANS) equations to compute aeroacoustic source terms and compare it to source terms from Large-Eddy Simulation.
If you are seeking an opportunity to combine theoretical and practical knowledge, while expanding your experience in the exciting field of aeroacoustics through the application of 3D Computational Aero-Acoustic (CAA) analysis, then this thesis is the perfect opportunity for you!
The following tasks should be achieved within this master thesis:
• Literature research on the hybrid CAA approach and current methods.
• Utilize Partially Averaged Navier-Stokes (PANS) equations to compute acoustic source terms with FIRE M.
• Analyze and compare the results of LES and PANS simulations to assess the differences in the provided source terms.
• Apply AVL FIRE M in combination with openCFS as the second software tool to simulate the incompressible turbulent flow field and acoustic wave propagation.
• Analyze and compare the obtained flow and acoustic results with relevant literature for validation purposes.
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• Ongoing master studies in the fields of Mechanical engineering, Electrical engineering or similar
• Programming skills in Python, C, Fortran for data analysis and post-processing tasks
• Experience with the 3D CFD simulation and meshing is beneficial
• Background knowledge in aerodynamics and acoustics recommended but not required
• Problem-solving abilities and attention to detail
• Proficient language skills in English or German
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AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. The company provides concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.
If you are seeking an opportunity to combine theoretical and practical knowledge, while expanding your experience in the exciting field of aeroacoustics through the application of 3D Computational Aero-Acoustic (CAA) analysis, then this thesis is the perfect opportunity for you!
The following tasks should be achieved within this master thesis:
• Literature research on the hybrid CAA approach and current methods.
• Utilize Partially Averaged Navier-Stokes (PANS) equations to compute acoustic source terms with FIRE M.
• Analyze and compare the results of LES and PANS simulations to assess the differences in the provided source terms.
• Apply AVL FIRE M in combination with openCFS as the second software tool to simulate the incompressible turbulent flow field and acoustic wave propagation.
• Analyze and compare the obtained flow and acoustic results with relevant literature for validation purposes.
===
• Ongoing master studies in the fields of Mechanical engineering, Electrical engineering or similar
• Programming skills in Python, C, Fortran for data analysis and post-processing tasks
• Experience with the 3D CFD simulation and meshing is beneficial
• Background knowledge in aerodynamics and acoustics recommended but not required
• Problem-solving abilities and attention to detail
• Proficient language skills in English or German
===
AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. The company provides concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.
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