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Proceedings Papers

Optimisation of an ORC Radial Turbine Using a Reduced-Order Model Coupled With CFD

Eva Alvarez-Regueiro, Bijie Yang, Esperanza Barrera-Medrano, Ricardo Martinez-Botas, Srithar Rajoo
Proc. ASME. GT2022, Volume 4: Cycle Innovations; Cycle Innovations: Energy Storage, V004T06A011, June 13–17, 2022
Paper No: GT2022-80944
DOI: https://doi.org/10.1115/GT2022-80944
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Topics: Computational fluid dynamics, Optimization, Organic Rankine cycle, Turbines, Flow (Dynamics), Geometry, Design, Fluids, Algorithms, Cycles
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

Multi Operating Point Aerodynamic Optimization of a Radial Compressor Impeller for an Application in High Temperature Heat Pump

Robert Schaffrath, Maximilian Kriese, Bojan Kajasa, Martino Köhler, Eberhard Nicke, Christian Voß
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A011, June 13–17, 2022
Paper No: GT2022-82130
DOI: https://doi.org/10.1115/GT2022-82130
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Topics: Compressor impellers, Heat pumps, High temperature, Optimization, Compressors, Geometry, Pressure, Computational fluid dynamics, Design, Economics
Proceedings Papers

Comparing Gradient-Free and Gradient-Based Multi-Objective Optimization Methodologies on the VKI-LS89 Turbine Vane Test Case

Romain Hottois, Arnaud Châtel, Grégory Coussement, Tom Verstraete, Tom De Bruyn
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A013, June 13–17, 2022
Paper No: GT2022-82218
DOI: https://doi.org/10.1115/GT2022-82218
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Topics: Pareto optimization, Turbines, Optimization, Design, Algorithms, Cascades (Fluid dynamics), Entropy, Evolutionary algorithms, Flow (Dynamics), Flow turning
Proceedings Papers

Aerodynamic Optimization of the SRV2 Radial Compressor Using an Adjoint-Based Optimization Method

Arnaud Châtel, Tom Verstraete
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A014, June 13–17, 2022
Paper No: GT2022-82530
DOI: https://doi.org/10.1115/GT2022-82530
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Topics: Compressors, Optimization, Design, Algorithms, Compressor impellers, Degrees of freedom, Flow (Dynamics), Quadratic programming, Reynolds-averaged Navier–Stokes equations, Tradeoffs
Proceedings Papers

Optimization Approach for Wind Farm Cable Layout Based on Iterative Self-Organizing Data Analysis Technique Algorithm and Swap Sequence Based Particle Swarm Algorithms

Deqi Yu, Ming Li
Proc. ASME. GT2022, Volume 11: Wind Energy, V011T38A024, June 13–17, 2022
Paper No: GT2022-83860
DOI: https://doi.org/10.1115/GT2022-83860
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Topics: Algorithms, Cables, Optimization, Particle swarm optimization, Particulate matter, Self-organization, Wind farms
Proceedings Papers

Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor

Patrick Amstad, Kwok Kai So, Magnus Fischer
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A002, June 13–17, 2022
Paper No: GT2022-78306
DOI: https://doi.org/10.1115/GT2022-78306
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Topics: Compressors, Machine learning, Optimization, Turbochargers, Turbulence, Artificial neural networks, Diffusers, Errors, Flow (Dynamics), Pressure
Proceedings Papers

Application of the Harmonic Balance Method for Large Spread Multiple Frequency Scales

Thomas Biesinger, Maximilian Kölzer, Alexander Schukmann, Harald Roclawski, Marc Kainz, Philippe Godin, Juan Carlos Morales, Laith Zori
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT37A005, June 13–17, 2022
Paper No: GT2022-79393
DOI: https://doi.org/10.1115/GT2022-79393
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Topics: Algorithms, Computation, Computational fluid dynamics, Excitation, Flow (Dynamics), Machinery, Modeling, Optimization, Piston engines, Pressure
Proceedings Papers

Digital Replicas of Low Pressure Steam Turbine Moving Blades - Assessment of Geometrical and Mechanical Quality Requirements Using Roboter-Assisted Optical Scanning

Frederik Popig
Proc. ASME. GT2022, Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V08BT27A005, June 13–17, 2022
Paper No: GT2022-80464
DOI: https://doi.org/10.1115/GT2022-80464
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Topics: Blades, Pressure, Steam turbines, Inspection, Center of mass, Airfoils, Computer-aided design, Geometry, Optical measurement, Resonance
Proceedings Papers

Mixed Whirl Modes in Numerical Rotordynamics Analysis

Konrad Juethner, Ted Rose, J. S. Kumar, Jianming Cao, Gregory M. Savela, Chris J. Zuck, Parag H. Mathuria
Proc. ASME. GT2022, Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V08BT26A004, June 13–17, 2022
Paper No: GT2022-79755
DOI: https://doi.org/10.1115/GT2022-79755
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Topics: Rotordynamics, Whirls, Rotors, Design, Eigenvalues, Stability, Algorithms, Economics , Fatigue, Finite element analysis
Proceedings Papers

Interface Reduction in an Equivalent Linearization Algorithm for Nonlinearly Coupled Systems Under Random Excitation

Alwin Förster, Lars Panning-von Scheidt
Proc. ASME. GT2022, Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V08BT27A001, June 13–17, 2022
Paper No: GT2022-78367
DOI: https://doi.org/10.1115/GT2022-78367
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Topics: Algorithms, Approximation, Couplings, Degrees of freedom, Disks, Dynamics (Mechanics), Excitation, Manufacturing, Polynomials, Random excitation
Proceedings Papers

Mission Severity Assessment Based on 1Hz Engine Data

Stefano Scarso, Stephan Staudacher, Christian Keller, Jürgen Mathes
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT31A007, June 13–17, 2022
Paper No: GT2022-80923
DOI: https://doi.org/10.1115/GT2022-80923
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Topics: Engines, Flight, Aircraft, Algorithms, Control systems, Machinery, NASA, Principal component analysis, Robustness
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
Proceedings Papers

Design Methodology and Mission Assessment of Parallel Hybrid Electric Propulsion Systems

Raj Ghelani, Ioannis Roumeliotis, Chana Anna Saias, Christos Mourouzidis, Vassilios Pachidis, Justin Norman, Marko Bacic
Proc. ASME. GT2022, Volume 1: Aircraft Engine; Ceramics and Ceramic Composites, V001T01A026, June 13–17, 2022
Paper No: GT2022-82478
DOI: https://doi.org/10.1115/GT2022-82478
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Topics: Design methodology, Electric propulsion, Fuels, Engines, Cycles, Aircraft, Gas turbines, Pressure, Algorithms, Architecture
Proceedings Papers

The Pore Size Dependence of the Radiative Scattering Coefficient in Yttria-Stabilized Zirconia Films

Yao Wang, Pei-feng Hsu, Mary Helen McCay
Proc. ASME. GT2022, Volume 1: Aircraft Engine; Ceramics and Ceramic Composites, V001T02A003, June 13–17, 2022
Paper No: GT2022-80853
DOI: https://doi.org/10.1115/GT2022-80853
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Topics: Scattering (Physics), Thermal barrier coatings, Absorption, Ceramics, Plasma spraying, Porosity, Spraying (Coating processes), Temperature, Algorithms, Aluminum
Proceedings Papers

Estimation of Dynamical Thermoacoustic Modes Using an Output Only Observer Kalman Filter-Based Identification (O 3 KID) Algorithm

Nikhil Balasubramanian, Driek Rouwenhorst, Jakob Hermann
Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A001, June 13–17, 2022
Paper No: GT2022-80650
DOI: https://doi.org/10.1115/GT2022-80650
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Topics: Algorithms, Filters, Modeling, Dynamics (Mechanics), Noise (Sound), Combustion, Kalman filters, Combustion chambers, Damping, Gas turbines
Proceedings Papers

Real Time Precursor Calculation for the Early Detection of Combustion Instabilities

R. Meloni, N. Giannini
Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A006, June 13–17, 2022
Paper No: GT2022-81310
DOI: https://doi.org/10.1115/GT2022-81310
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Topics: Combustion, Algorithms, Combustion chambers, Engines, Gas turbines, Pressure, Signals, Acoustics, Control systems, Emissions
Proceedings Papers

Explainable and Interpretable AI-Assisted Remaining Useful Life Estimation for Aeroengines

Giorgois Protopapadakis, Asteris Apostolidis, Anestis I. Kalfas
Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A002, June 13–17, 2022
Paper No: GT2022-80777
DOI: https://doi.org/10.1115/GT2022-80777
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Topics: Service life (Equipment), Maintenance, Algorithms, Artificial intelligence, Artificial neural networks, Cycles, Databases, Engines, Feature selection, Flight
Proceedings Papers

Stress Blended Eddy Simulations for Hydrogen-Air Rotating Detonation Engine With Wall Heat Transfer

Hossam A. Elasrag, Timothy Gallagher, Brent A. Rankin, S. Alexander Schumaker
Proc. ASME. GT2022, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A033, June 13–17, 2022
Paper No: GT2022-81152
DOI: https://doi.org/10.1115/GT2022-81152
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Topics: Eddies (Fluid dynamics), Engineering simulation, Engines, Explosions, Heat transfer, Hydrogen, Simulation, Stress, Waves, Heat
Proceedings Papers

Application of Machine Learning to Forced Response Predictions of an Industrial Axial Compressor Rotor Blade

Giuseppe Bruni, Senthil Krishnababu, Simon Jackson
Proc. ASME. GT2022, Volume 8A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Engineering Design, Analysis, and Additive Manufacturing; Fatigue, Fracture, and Life Prediction, V08AT21A019, June 13–17, 2022
Paper No: GT2022-82427
DOI: https://doi.org/10.1115/GT2022-82427
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Topics: Blades, Compressors, Machine learning, Rotors, Design, Artificial neural networks, Computational fluid dynamics, Algorithms, Cycles, Damping