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Grant: Alliance Grants

University of Windsor

$105,000.00

Design Stage Assessment of Fan Inlet Distortion Response: Operability and Aeromechanical Impacts

EF 2023-24

Résumé
All fans are subject to limits on their ability to operate at flow rates lower than the design value due to flow instabilities such as rotating stall, in which flow breaks down in the space between two blades of the compressor, leading to a large drop in pressure rise and flow rate. To computationally predict the onset of this phenomenon requires high-fidelity, time-resolved computations which are most efficiently run in parallel with a large number of computing cores (either central processing units (CPUs) or graphical processing units (GPUs), depending on the software). This research project aims to identify the trade-offs between accuracy and computational cost for a variety of computational fluid dynamics (CFD) based approaches to determining the stalling flow rate for jet engine-style fans. Currently, fully resolving the stall inception process leads to very accurate predictions but computational costs that are not practical to include into the design process, so design guidelines must be conservative; this suggests that it is possible fan (and thus overall engine) efficiency could be improved while still maintaining acceptable stall margin if accurate design-time assessments could be made. This problem becomes even more important when considering inlet flow distortions, where the inflow velocity varies over the fan inlet area. This can lead to stall occurring at higher overall flow rates than with uniform inflow, and requires more expensive computations because the full fan wheel must be resolved. Recent advances in simplified fan modelling and turbulence modelling provide potential paths for stall prediction at significantly reduced cost, but these have not been assessed for inlet flow distortion. In this project, these will be assessed quantitatively using a GPU-based CFD code, Turbostream, whose developer is a partner on the project. To ensure accurate results, an experimental low-speed fan rig will be designed and fabricated, and computations will be carried out for both that design and a high speed version. This work is important to the Canadian aerospace industry and the other project partner Pratt & Whitney Canada to ensure continued competitiveness and reduced environmental impact from future aircraft in Canada and globally.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
586317-2023
Name nom
Defoe, Jeffrey JJ
Department département
Mechanical, Automotive and Materials Engineering
Organization id
37
Institution établissement
University of Windsor
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
105000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Not available
Research subject en
Non disponible
Research subject fr
Non disponible
Application title
Design Stage Assessment of Fan Inlet Distortion Response: Operability and Aeromechanical Impacts
Keyword
computational fluid dynamics; experimental measurements; fan aerodynamics; fan aeromechanics; fan operability; fan stall margin; inlet flow distortion; turbomachinery
Application summary
All fans are subject to limits on their ability to operate at flow rates lower than the design value due to flow instabilities such as rotating stall, in which flow breaks down in the space between two blades of the compressor, leading to a large drop in pressure rise and flow rate. To computationally predict the onset of this phenomenon requires high-fidelity, time-resolved computations which are most efficiently run in parallel with a large number of computing cores (either central processing units (CPUs) or graphical processing units (GPUs), depending on the software). This research project aims to identify the trade-offs between accuracy and computational cost for a variety of computational fluid dynamics (CFD) based approaches to determining the stalling flow rate for jet engine-style fans. Currently, fully resolving the stall inception process leads to very accurate predictions but computational costs that are not practical to include into the design process, so design guidelines must be conservative; this suggests that it is possible fan (and thus overall engine) efficiency could be improved while still maintaining acceptable stall margin if accurate design-time assessments could be made. This problem becomes even more important when considering inlet flow distortions, where the inflow velocity varies over the fan inlet area. This can lead to stall occurring at higher overall flow rates than with uniform inflow, and requires more expensive computations because the full fan wheel must be resolved. Recent advances in simplified fan modelling and turbulence modelling provide potential paths for stall prediction at significantly reduced cost, but these have not been assessed for inlet flow distortion. In this project, these will be assessed quantitatively using a GPU-based CFD code, Turbostream, whose developer is a partner on the project. To ensure accurate results, an experimental low-speed fan rig will be designed and fabricated, and computations will be carried out for both that design and a high speed version. This work is important to the Canadian aerospace industry and the other project partner Pratt & Whitney Canada to ensure continued competitiveness and reduced environmental impact from future aircraft in Canada and globally.