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Proceedings Papers

Aeroacoustic Interactions of Blade Skew and Leading Edge Serrations Applied to Low-Pressure Axial Fans

Till M. Biedermann, Nils Hintzen, Frank Kameier
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A009, June 13–17, 2022
Paper No: GT2022-82232
DOI: https://doi.org/10.1115/GT2022-82232
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Topics: Blades, Fans, Noise (Sound), Pressure
Proceedings Papers

Influence of Different Flow Solvers and Off-Design Conditions on the Determination of Fan-Rotor Wakes for Broadband Noise Prediction

Robert Meier zu Ummeln, Antoine Moreau, Markus Schnoes
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A002, June 13–17, 2022
Paper No: GT2022-78406
DOI: https://doi.org/10.1115/GT2022-78406
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Topics: Design, Flow (Dynamics), Noise (Sound), Rotors, Wakes, Turbulence, Acoustics, Aircraft engines, Engines, Flow simulation
Proceedings Papers

A Comprehensive Analytical Model for Vortex Shedding From Low-Speed Axial Fan Blades

Gábor Daku, János Vad
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A004, June 13–17, 2022
Paper No: GT2022-80190
DOI: https://doi.org/10.1115/GT2022-80190
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Topics: Blades, Noise (Sound), Vortex shedding
Proceedings Papers

A Proven Engine Optimizer for the Aeroderivative Industry: Challenges and Solutions

Nicolas Demougeot, Franklin van den Hout, Danny Grobbe, Wenping Wang
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T09A009, June 13–17, 2022
Paper No: GT2022-83026
DOI: https://doi.org/10.1115/GT2022-83026
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Topics: Engines, Gas turbines, Emissions, Dynamic models, Combustion systems, Combustion, Control equipment, Dynamics (Mechanics), Combustion chambers, Computer software
Proceedings Papers

Numerical Investigation of an Automotive Axial Fan: A Comparison Among Different CFD Software Packages and Experimental Validation

Nicola Aldi, Nicola Casari, Stefano Oliani, Michele Pinelli, Enrico Mollica, Filippo Menichini
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A001, June 13–17, 2022
Paper No: GT2022-78066
DOI: https://doi.org/10.1115/GT2022-78066
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Topics: Computational fluid dynamics, Computer software, Fans, Flow (Dynamics), Axial flow, Fluid dynamics, Noise (Sound), Vehicles, Air flow, Engineering simulation
Proceedings Papers

Machine-Learning Clustering Methods Applied to Detection of Noise Sources in Low-Speed Axial Fan

Lorenzo Tieghi, Stefan Becker, Alessandro Corsini, Giovanni Delibra, Stefan Schoder, Felix Czwielong
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A008, June 13–17, 2022
Paper No: GT2022-82116
DOI: https://doi.org/10.1115/GT2022-82116
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Topics: Machine learning, Noise (Sound), Algorithms, Design, Fans, Simulation, Acoustics, Aerodynamic noise, Blades, Density
Proceedings Papers

Inverse Design of a Centrifugal Fan for High Flow Rate Operating at Low Noise Level

Vijender Singh, Nikhil A. Baraiya, Jyotirmay Banerjee
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A016, June 13–17, 2022
Paper No: GT2022-82962
DOI: https://doi.org/10.1115/GT2022-82962
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Topics: Design, Flow (Dynamics), Noise (Sound)
Proceedings Papers

Heat Transfer Coefficient and Adiabatic Effectiveness on a Film-Cooled Pressure Side: Results and Assessment of the IR-Based Measurement Technique Reliability

T. Bacci, A. Picchi, S. Galeotti, B. Facchini, S. Cubeda
Proc. ASME. GT2022, Volume 6A: Heat Transfer — Combustors; Film Cooling, V06AT12A012, June 13–17, 2022
Paper No: GT2022-81161
DOI: https://doi.org/10.1115/GT2022-81161
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Topics: Heat transfer coefficients, Pressure, Reliability, Film cooling, Nozzle guide vanes, Uncertainty, Cooling systems, Design, Dimensions, Engines
Proceedings Papers

Validation of Broadband Noise Prediction Methodology Based on Linearised Navier-Stokes Analyses

Ricardo Blazquez-Navarro, Roque Corral
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT33A020, June 13–17, 2022
Paper No: GT2022-84013
DOI: https://doi.org/10.1115/GT2022-84013
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Topics: Noise (Sound), Reynolds-averaged Navier–Stokes equations, Turbulence
Proceedings Papers

A Hybrid, Runtime Coupled Incompressible CFD/CAA Method for Analysis of Thermoacoustic Instabilities

Hanna Reinhardt, Çetin Alanyalıoğlu, André Fischer, Claus Lahiri, Christian Hasse
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT33A014, June 13–17, 2022
Paper No: GT2022-82515
DOI: https://doi.org/10.1115/GT2022-82515
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Topics: Computational fluid dynamics, Acoustics, Engineering simulation, Simulation, Flow (Dynamics), Mach number, Navier-Stokes equations, Combustion, Combustion chambers, Computation
Proceedings Papers

High Accuracy Numerical Investigation of Trailing Edge Noise at Vortex Shedding Critical Angle of Attack

Huabin Zheng, Jinqiang Chen, Peixiang Yu, Hua Ouyang
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT33A019, June 13–17, 2022
Paper No: GT2022-83143
DOI: https://doi.org/10.1115/GT2022-83143
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Topics: Noise (Sound), Vortex shedding
Proceedings Papers

Validation of an Analytical Model for the Acoustic Impedance Eduction of Multi-Cavity Resonant Liners by a High-Fidelity LES Approach

Simone Giaccherini, Lorenzo Pinelli, Michele Marconcini, Roberto Pacciani, Andrea Arnone
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT33A007, June 13–17, 2022
Paper No: GT2022-81984
DOI: https://doi.org/10.1115/GT2022-81984
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Topics: Acoustics, Cavities, Resonance, Design, Emissions, Engineering simulation, Noise (Sound), Simulation, Absorption, Air traffic control
Proceedings Papers

Improved Design Space Exploration by Machine Learning Estimation for a Parametric Turbofan Model

Chad Foster, Jack Moore
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A010, June 13–17, 2022
Paper No: GT2022-81836
DOI: https://doi.org/10.1115/GT2022-81836
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Topics: Design, Machine learning, Turbofans, Simulation, Noise (Sound), Regression models
Proceedings Papers

A Study of Stall Process in an Axial Flow Compressor With Foam Metal Casing Treatment

Jia Li, Dakun Sun, Ruize Xu, Xu Dong, Xiaofeng Sun
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT37A024, June 13–17, 2022
Paper No: GT2022-82828
DOI: https://doi.org/10.1115/GT2022-82828
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Topics: Axial flow, Compressors, Metals, Stall inception, Flow (Dynamics), Rotors, Blades, Chords (Trusses), Design, Emissions
Proceedings Papers

Turbulence Model Impact on Predicting Precursors to Surge Flow Instabilities in a Turbocharger Compressor

E. Trigell, M. Mihaescu
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT37A030, June 13–17, 2022
Paper No: GT2022-83103
DOI: https://doi.org/10.1115/GT2022-83103
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Topics: Compressors, Flow instability, Surges, Turbochargers, Turbulence, Flow (Dynamics), Design, Blades, Calibration, Computer simulation
Proceedings Papers

On the Mode Characteristics of Rotating Instability With Different Tip Clearances

Zeyuan Yang, Lele Ming, Si Wu, Yadong Wu, Jie Tian, Hua Ouyang
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT37A013, June 13–17, 2022
Paper No: GT2022-82072
DOI: https://doi.org/10.1115/GT2022-82072
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Topics: Blades, Clearances (Engineering), Compressors, Design, Ducts, Flow (Dynamics), Noise (Sound), Pressure, Rotors, Shear (Mechanics)
Proceedings Papers

The Effects of Swirling Flows in Entropy Wave Convection Through High Pressure Turbine Stage

Lorenzo Pinelli, Michele Marconcini, Roberto Pacciani, Andrea Notaristefano, Paolo Gaetani
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT37A020, June 13–17, 2022
Paper No: GT2022-82594
DOI: https://doi.org/10.1115/GT2022-82594
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Topics: Convection, Entropy, High pressure (Physics), Swirling flow, Turbines, Waves, Combustion chambers, Computer simulation, Flow (Dynamics), Fluctuations (Physics)
Proceedings Papers

Parametric Design of Radial Guide Vanes for Power Augmentation of Darrieus-Type Vertical-Axis Wind Turbines

Pier Francesco Melani, Francesco Balduzzi, Giovanni Ferrara, Alessandro Bianchini, Roberto Bissanti, Palmiro Bissanti
Proc. ASME. GT2022, Volume 11: Wind Energy, V011T38A020, June 13–17, 2022
Paper No: GT2022-82867
DOI: https://doi.org/10.1115/GT2022-82867
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Topics: Guide vanes, Parametric design, Vertical axis wind turbines, Flow (Dynamics), Simulation, Blades, Design, Engineering simulation, Rotors, Turbines
Proceedings Papers

From Concept to Wind Tunnel Model: Efficient Design Methodology for Innovative Low-Noise Propellers

Lieven Baert, Gabriele Grasso, Caroline Sainvitu, Ingrid Lepot, Marinus J. van Enkhuizen, Karel Lammers, Nicholas Bown
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A001, June 13–17, 2022
Paper No: GT2022-77969
DOI: https://doi.org/10.1115/GT2022-77969
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Topics: Design methodology, Noise (Sound), Propellers, Wind tunnels, Design, Aircraft, Optimization, Shapes, Aviation, Blades
Proceedings Papers

A Coupled Computational Aero-Acoustics (CAA)/ Large-Eddy Simulation (LES) Approach for the Pressure Calculation in Internal Low-Mach Number Flows

Pierre Bénez, Ghislain Lartigue, Vincent Moureau, Guillaume Ribert, Marine Robin
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT32A009, June 13–17, 2022
Paper No: GT2022-80476
DOI: https://doi.org/10.1115/GT2022-80476
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Topics: Acoustics, Flow (Dynamics), Large eddy simulation, Pressure, Simulation, Algorithms, Entropy, Fluctuations (Physics), Internal flow, Navier-Stokes equations