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Proceedings Papers

Evaluation of Different Regression Models Tuned With Experimental Turbine Cascade Data

Matteo Dellacasagrande, Davide Lengani, Pietro Paliotta, Daniele Petronio, Daniele Simoni, Francesco Bertini
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT30A011, June 13–17, 2022
Paper No: GT2022-81357
https://doi.org/10.1115/GT2022-81357
View Paper titled, Evaluation of Different Regression Models Tuned With Experimental Turbine Cascade Data
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Topics: Cascades (Fluid dynamics), Regression models, Turbines, Databases, Accounting, Collaboration, Errors, Flow (Dynamics), Modeling, Optimization
Proceedings Papers

Reconstructing Turbine Non-Uniform Flow Including Hot Streaks Using Spatially Under-Sampled Measurements

Xu Zhu, Fangyuan Lou, Kai Zhou, Xinqian Zheng
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT30A033, June 13–17, 2022
Paper No: GT2022-83509
https://doi.org/10.1115/GT2022-83509
View Paper titled, Reconstructing Turbine Non-Uniform Flow Including Hot Streaks Using Spatially Under-Sampled Measurements
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Topics: Approximation, Flow (Dynamics), High pressure (Physics), Turbines, Wavelets, Temperature, Cooling, Temperature distribution, Engines, Annulus
Proceedings Papers

New Concept for Design in Turbomachinery Applications using Full RANS Gradient Methodology

Armando Del Rio, Ernesto Casartelli, Benno Fleischli, Luca Mangani
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT32A046, June 13–17, 2022
Paper No: GT2022-84035
https://doi.org/10.1115/GT2022-84035
View Paper titled, New Concept for Design in Turbomachinery Applications using Full RANS Gradient Methodology
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Topics: Design, Reynolds-averaged Navier–Stokes equations, Turbomachinery, Diffusers, Turbulence, Flow (Dynamics), Compressors, Computational fluid dynamics, Deformation, Impellers
Proceedings Papers

Automated Component Preliminary Design and Evaluation in the Overall Engine Using Fully Coupled Approaches

Jens Schmeink, Markus Schnoes
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A005, June 13–17, 2022
Paper No: GT2022-80634
https://doi.org/10.1115/GT2022-80634
View Paper titled, Automated Component Preliminary Design and Evaluation in the Overall Engine Using Fully Coupled Approaches
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Topics: Design, Engines, Engineering disciplines, Simulation, Compressors, Errors, Flow (Dynamics), Gas turbines, High pressure (Physics), Military systems
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
https://doi.org/10.1115/GT2022-78306
View Paper titled, Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor
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Topics: Compressors, Machine learning, Optimization, Turbochargers, Turbulence, Artificial neural networks, Diffusers, Errors, Flow (Dynamics), Pressure
Proceedings Papers

Investigating the Nature and Invariance of Field Inversion Based on Transition in a Turbine Cascade

Alexander Bleh, Jan Backhaus, Christian Morsbach
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A018, June 13–17, 2022
Paper No: GT2022-82917
https://doi.org/10.1115/GT2022-82917
View Paper titled, Investigating the Nature and Invariance of Field Inversion Based on Transition in a Turbine Cascade
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Topics: Cascades (Fluid dynamics), Turbines, Databases, Errors, Flow (Dynamics), Modeling, Turbulence
Proceedings Papers

Method of Analysis for Impact of Input Uncertainty Error Propagation in a Highly Nonlinear System: Applied to Modern Aircraft Engine

Timothy Castaldo
Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A011, June 13–17, 2022
Paper No: GT2022-82219
https://doi.org/10.1115/GT2022-82219
View Paper titled, Method of Analysis for Impact of Input Uncertainty Error Propagation in a Highly Nonlinear System: Applied to Modern Aircraft Engine
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Topics: Aircraft engines, Errors, Nonlinear systems, Uncertainty
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
https://doi.org/10.1115/GT2022-81152
View Paper titled, Stress Blended Eddy Simulations for Hydrogen-Air Rotating Detonation Engine With Wall Heat Transfer
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Topics: Eddies (Fluid dynamics), Engineering simulation, Engines, Explosions, Heat transfer, Hydrogen, Simulation, Stress, Waves, Heat
Proceedings Papers

Topological Optimisation and 3d Printing of a Bladed Disc

Vincent Barreau, Enora Denimal, Loic Salles
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, V08AT23A002, June 13–17, 2022
Paper No: GT2022-78141
https://doi.org/10.1115/GT2022-78141
View Paper titled, Topological Optimisation and 3d Printing of a Bladed Disc
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Topics: Additive manufacturing, Disks, Optimization, Topology, Blades, Engineering simulation, Errors, Geometry, Mechanical properties, Simulation
Proceedings Papers

Quantification of the Impact of the Crack Shape Constraint Assumption Onto Predicted Remaining Useful Life

Adrian Loghin
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, V08AT24A005, June 13–17, 2022
Paper No: GT2022-80229
https://doi.org/10.1115/GT2022-80229
View Paper titled, Quantification of the Impact of the Crack Shape Constraint Assumption Onto Predicted Remaining Useful Life
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Topics: Fatigue cracks, Finite element analysis, Fracture (Materials), Service life (Equipment), Shapes, Stress, Crack propagation, Errors, Modeling, Computer software
Proceedings Papers

Mistuning Effects on Aero-Elastic Stability of Civil Transonic Fan Blades

Bo Lian, Xiaocheng Zhu, Zhaohui Du
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, V08AT21A005, June 13–17, 2022
Paper No: GT2022-80613
https://doi.org/10.1115/GT2022-80613
View Paper titled, Mistuning Effects on Aero-Elastic Stability of Civil Transonic Fan Blades
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Topics: Blades, Damping, Eigenvalues, Flutter (Aerodynamics), Stability, Design, Commercial air transport, Engineering simulation, Engines, Errors
Proceedings Papers

Uncertainty Quantification of Computational Flutter Estimates of a Compressor Cascade

Marco Rauseo, Fanzhou Zhao, Mehdi Vahdati, Quentin Rendu
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, V08AT21A010, June 13–17, 2022
Paper No: GT2022-81935
https://doi.org/10.1115/GT2022-81935
View Paper titled, Uncertainty Quantification of Computational Flutter Estimates of a Compressor Cascade
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Topics: Cascades (Fluid dynamics), Compressors, Flutter (Aerodynamics), Uncertainty quantification, Damping, Flow (Dynamics), Blades, Design, Uncertainty, Aircraft engines
Proceedings Papers

Anomaly Detection for Large Fleets of Industrial Equipment: Utilizing Machine Learning With Applications to Power Plant Monitoring

Cody W. Allen, Chad Holcomb, Maurício de Oliveira
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A016, June 7–11, 2021
Paper No: GT2021-60116
https://doi.org/10.1115/GT2021-60116
View Paper titled, Anomaly Detection for Large Fleets of Industrial Equipment: Utilizing Machine Learning With Applications to Power Plant Monitoring
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Topics: Machine learning, Power stations, Machinery, Gas turbines, Algorithms, Errors, Failure, Model development, Neural network models, Reliability
Proceedings Papers

An Efficient Prediction Method for the Azimuthal Migration of Combustion Inhomogeneity in Multi-Stage Cooled Turbines

Qingfu He, Zhongran Chi, Shusheng Zang
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A017, June 7–11, 2021
Paper No: GT2021-60220
https://doi.org/10.1115/GT2021-60220
View Paper titled, An Efficient Prediction Method for the Azimuthal Migration of Combustion Inhomogeneity in Multi-Stage Cooled Turbines
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Topics: Combustion, Turbines, Annulus, Simulation, Thermocouples, Combustion chambers, Errors, Exhaust systems, Steady state, Temperature
Proceedings Papers

Assessment of Non-Standard Procedure in Field Testing of Gas Turbine Driven Centrifugal Compressors

Nicola Casari, Ettore Fadiga, Michele Pinelli, Alessio Suman, Rainer Kurz, Kevin C. Davis, Flavio Marin
Proc. ASME. GT2021, Volume 8: Oil and Gas Applications; Steam Turbine, V008T20A002, June 7–11, 2021
Paper No: GT2021-04249
https://doi.org/10.1115/GT2021-04249
View Paper titled, Assessment of Non-Standard Procedure in Field Testing of Gas Turbine Driven Centrifugal Compressors
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Topics: Compressors, Gas turbines, Testing, Equations of state, Errors, Fuel consumption, Modeling, Natural gas, Performance, Resistance thermometers
Proceedings Papers

On Virtual Clearance Monitoring of Steam Turbine by Using Model Order Reduction

Hiroshi Ito, Shoichiro Hosomi, Norikazu Tezuka, Tomohiro Ishida
Proc. ASME. GT2021, Volume 9A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Design and Engineering, V09AT25A002, June 7–11, 2021
Paper No: GT2021-59003
https://doi.org/10.1115/GT2021-59003
View Paper titled, On Virtual Clearance Monitoring of Steam Turbine by Using Model Order Reduction
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Topics: Clearances (Engineering), Steam turbines, Sensors, Errors, Rotors, Data fusion, Finite element analysis, Stress, Finite element model, High temperature
Proceedings Papers

Identification of Slip Load, Friction Force and External Force Using Unscented Kalman Filter for Frictionally Damped Turbine Blades

Himanshu Patel, Alok Sinha
Proc. ASME. GT2021, Volume 9A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Design and Engineering, V09AT25A003, June 7–11, 2021
Paper No: GT2021-59863
https://doi.org/10.1115/GT2021-59863
View Paper titled, Identification of Slip Load, Friction Force and External Force Using Unscented Kalman Filter for Frictionally Damped Turbine Blades
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Topics: Friction, Kalman filters, Stress, Turbine blades, Dampers, Excitation, Vibration, Differential equations, Errors, Modeling
Proceedings Papers

Numerical Methods for Calculating Component Modes for Geometric Mistuning Reduced-Order Models

Joseph A. Beck, Jeffrey M. Brown, Alex A. Kaszynski, Daniel L. Gillaugh
Proc. ASME. GT2021, Volume 9B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V09BT29A016, June 7–11, 2021
Paper No: GT2021-59126
https://doi.org/10.1115/GT2021-59126
View Paper titled, Numerical Methods for Calculating Component Modes for Geometric Mistuning Reduced-Order Models
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Topics: Eigenvalues, Errors, Finite element model, Geometry, Numerical analysis, Optical scanners, Parallel processing, Rotors, Stiffness, Storage
Proceedings Papers

Challenges With Measuring Supercritical CO2 Compressor Performance When Approaching the Liquid-Vapor Dome

Jason Mortzheim, Doug Hofer, Stephan Priebe, Aaron McClung, J. Jeffery Moore, Stefan Cich
Proc. ASME. GT2021, Volume 10: Supercritical CO2, V010T30A019, June 7–11, 2021
Paper No: GT2021-59527
https://doi.org/10.1115/GT2021-59527
View Paper titled, Challenges With Measuring Supercritical CO2 Compressor Performance When Approaching the Liquid-Vapor Dome
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Topics: Compressors, Domes (Structural elements), Supercritical carbon dioxide, Vapors, Uncertainty, Density, Carbon dioxide, Compression, Pressure, Cycles
Proceedings Papers

Bayesian Inference of Experimental Data for Axial Compressor Performance Assessment

Gonçalo G. Cruz, Cedric Babin, Xavier Ottavy, Fabrizio Fontaneto
Proc. ASME. GT2021, Volume 2A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, V02AT31A029, June 7–11, 2021
Paper No: GT2021-59200
https://doi.org/10.1115/GT2021-59200
View Paper titled, Bayesian Inference of Experimental Data for Axial Compressor Performance Assessment
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Topics: Compressors, Algorithms, Flow (Dynamics), Instrumentation, Computer simulation, Errors, Inverse problems, Kalman filters, Pressure, Turbomachinery