Thesis - Hybrid Aeroacoustic investigation of rotating axial fan modelled as EMBB
The scope of this master thesis is to investigate aeroacoustic noise emission from the case of a rotating axial fan by modelling the fan as a rotating Embedded Body (EMBB) on a stationary mesh. Scale resolving approaches to simulation of turbulent flow fields e.g., Large-Eddy Simulation (LES), can directly deliver accurate acoustic source terms as input for the following acoustic simulation (AS).
The described workflow should be applied with AVL FIRE M, for the LES, where the rotating fan is modelled as an EMBB with openCFS for solving the PCWE. The flow and acoustic results should be analyzed and compared against literature for validation.
• Literature research on the hybrid CAA approach and current methods
• LES simulation of the rotating fans with the rotating fan modelled as EMBB to provide acoustic source terms
• Application of the workflow with AVL FIRE M and openCFS
• Result analysis and validation
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• Ongoing master studies in the field of Mechanical engineering, Electrical engineering or similar
• Experience with the 3D simulation and meshing is appreciated
• Programming skills are advantageous
• English or German language skills
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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.
The described workflow should be applied with AVL FIRE M, for the LES, where the rotating fan is modelled as an EMBB with openCFS for solving the PCWE. The flow and acoustic results should be analyzed and compared against literature for validation.
• Literature research on the hybrid CAA approach and current methods
• LES simulation of the rotating fans with the rotating fan modelled as EMBB to provide acoustic source terms
• Application of the workflow with AVL FIRE M and openCFS
• Result analysis and validation
===
• Ongoing master studies in the field of Mechanical engineering, Electrical engineering or similar
• Experience with the 3D simulation and meshing is appreciated
• Programming skills are advantageous
• English or German language skills
===
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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