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Journal Articles

Assimilation of Disparate Data for Improving the Performance Prediction of Body-Force Model

Xuegao Wang, Jun Hu, Shuai Ma

J. Turbomach.

Paper No: TURBO-22-1137

DOI: https://doi.org/10.1115/1.4062610

Published Online: May 23, 2023

View Article titled, Assimilation of Disparate Data for Improving the Performance Prediction of Body-Force Model

Topics: Blades, Compressors, Computation, Computational fluid dynamics, Computer simulation, Errors, Kalman filters, Modeling, Navier-Stokes equations, Pressure

Journal Articles

Collaborative Robust Design Optimization of Blade Geometry and Manufacturing Tolerance for a Transonic Centrifugal Impeller

Yiming Liu, Yaping Ju, Ruihong Qin, Wei Jiang, Stephen Spence, Chuhua Zhang

J. Turbomach. July 2023, 145(7): 071001.

Paper No: TURBO-22-1123

DOI: https://doi.org/10.1115/1.4056680

Published Online: February 9, 2023

View Article titled, Collaborative Robust Design Optimization of Blade Geometry and Manufacturing Tolerance for a Transonic Centrifugal Impeller

Topics: Blades, Design, Errors, Geometry, Impellers, Manufacturing, Optimization, Uncertainty quantification, Flow (Dynamics), Computational fluid dynamics

Journal Articles

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

Armando Del Rio, Ernesto Casartelli, Benno Fleischli, Luca Mangani

J. Turbomach. April 2023, 145(4): 041009.

Paper No: TURBO-22-1256

DOI: https://doi.org/10.1115/1.4055869

Published Online: November 7, 2022

View Article titled, New Concept for Design in Turbomachinery Applications Using Full RANS Gradient Methodology

Topics: Compressors, Computational fluid dynamics, Deformation, Design, Diffusers, Flow (Dynamics), Geometry, Machinery, Optimization, Pressure

Journal Articles

Temperature Dependent Property Considerations for Biot Number Matching With Composite Materials

Carol E. Bryant, James L. Rutledge

J. Turbomach. April 2023, 145(4): 041010.

Paper No: TURBO-21-1261

DOI: https://doi.org/10.1115/1.4055927

Published Online: November 7, 2022

View Article titled, Temperature Dependent Property Considerations for Biot Number Matching With Composite Materials

Topics: Ceramic matrix composites, Composite materials, Engines, Errors, Low temperature, Temperature, Thermal conductivity, Cooling, Anisotropy, Turbine components

Journal Articles

Assessment of the Flow Field and Heat Transfer in a Vane Cooling System Using Magnetic Resonance Velocimetry, Thermochromic Liquid Crystals, and Computational Fluid Dynamics

Martin Bruschewski, Carolin Wüstenhagen, Clemens Domnick, Robert Krewinkel, Chao-Cheng Shiau, Sven Grundmann, Je-Chin Han

J. Turbomach. March 2023, 145(3): 031010.

Paper No: TURBO-22-1157

DOI: https://doi.org/10.1115/1.4055611

Published Online: October 20, 2022

View Article titled, Assessment of the Flow Field and Heat Transfer in a Vane Cooling System Using Magnetic Resonance Velocimetry, Thermochromic Liquid Crystals, and Computational Fluid Dynamics

Topics: Computational fluid dynamics, Flow (Dynamics), Heat transfer, Magnetic resonance, Turbulence, Liquid crystals, Errors, Cooling systems

Journal Articles

A Data-Driven Tip Flow Loss Prediction Method for a Transonic Fan Under Boundary Layer Ingesting Inflow Distortion

Zhe Yang, Hanan Lu, Tianyu Pan, Qiushi Li

J. Turbomach. January 2023, 145(1): 011001.

Paper No: TURBO-21-1236

DOI: https://doi.org/10.1115/1.4055439

Published Online: October 3, 2022

View Article titled, A Data-Driven Tip Flow Loss Prediction Method for a Transonic Fan Under Boundary Layer Ingesting Inflow Distortion

Topics: Annulus, Blades, Design, Flow (Dynamics), Inflow, Physics, Rotors, Computational fluid dynamics, Boundary layers, Errors

Journal Articles

A Turbo-Oriented Data-Driven Modification to the Spalart–Allmaras Turbulence Model

Xiao He, Fanzhou Zhao, Mehdi Vahdati

J. Turbomach. December 2022, 144(12): 121007.

Paper No: TURBO-22-1148

DOI: https://doi.org/10.1115/1.4055333

Published Online: September 19, 2022

View Article titled, A Turbo-Oriented Data-Driven Modification to the Spalart–Allmaras Turbulence Model

Topics: Calibration, Cascades (Fluid dynamics), Compressors, Flow (Dynamics), NASA, Pressure, Rotors, Turbulence, Computational fluid dynamics, Corners (Structural elements)

Journal Articles

An Iterative Neural Operator to Predict the Thermo-Fluid Information in Internal Cooling Channels

Li Yang, Qi Wang, Yu Rao

J. Turbomach. December 2022, 144(12): 121005.

Paper No: TURBO-22-1128

DOI: https://doi.org/10.1115/1.4055335

Published Online: September 15, 2022

View Article titled, An Iterative Neural Operator to Predict the Thermo-Fluid Information in Internal Cooling Channels

Topics: Artificial neural networks, Cooling, Errors, Heat flux, Heat transfer, Partial differential equations, Physics, Pressure, Temperature, Thermofluids

Journal Articles

Applying Infrared Thermography as a Method for Online Monitoring of Turbine Blade Coolant Flow

Eric DeShong, Benjamin Peters, Kamran Paynabar, Nagi Gebraeel, Karen A. Thole, Reid A. Berdanier

J. Turbomach. November 2022, 144(11): 111009.

Paper No: TURBO-22-1048

DOI: https://doi.org/10.1115/1.4054814

Published Online: July 21, 2022

View Article titled, Applying Infrared Thermography as a Method for Online Monitoring of Turbine Blade Coolant Flow

Topics: Blades, Coolants, Errors, Flow (Dynamics), Modeling, Temperature, Thermography, Turbines, Turbine blades, Engines

Journal Articles

Numerical Calibration and Investigation of the Influence of Reynolds Number on Measurements With Five-Hole Probes in Compressible Flows

Christian Schäffer, Konstantin Speck, Volker Gümmer

J. Turbomach. September 2022, 144(9): 091010.

Paper No: TURBO-21-1169

DOI: https://doi.org/10.1115/1.4053835

Published Online: March 4, 2022

View Article titled, Numerical Calibration and Investigation of the Influence of Reynolds Number on Measurements With Five-Hole Probes in Compressible Flows

Topics: Calibration, Pressure, Probes, Reynolds number, Yaw, Errors, Geometry

Journal Articles

Machine Learning for the Development of Data-Driven Turbulence Closures in Coolant Systems

James Hammond, Francesco Montomoli, Marco Pietropaoli, Richard D. Sandberg, Vittorio Michelassi

J. Turbomach. August 2022, 144(8): 081003.

Paper No: TURBO-20-1174

DOI: https://doi.org/10.1115/1.4053533

Published Online: March 3, 2022

View Article titled, Machine Learning for the Development of Data-Driven Turbulence Closures in Coolant Systems

Topics: Anisotropy, Design, Errors, Flow (Dynamics), Geometry, Heat transfer, Reynolds-averaged Navier–Stokes equations, Tensors, Testing, Turbulence

Journal Articles

Direct and Inverse Model for Single-Hole Film Cooling With Machine Learning

Haifeng Xing, Lei Luo, Wei Du, Songtao Wang

J. Turbomach. April 2022, 144(4): 041006.

Paper No: TURBO-21-1054

DOI: https://doi.org/10.1115/1.4052601

Published Online: November 5, 2021

View Article titled, Direct and Inverse Model for Single-Hole Film Cooling With Machine Learning

Topics: Artificial neural networks, Design, Errors, Film cooling, Machine learning, Coolants, Computational fluid dynamics, Density, Turbulence, Modeling

Journal Articles

Statistical and Computational Evaluation of Empirical Axial Turbine Correlations in Design of Centrifugal Turbines

Yu Min Liu, Patrick Hendrick, ZhengPing Zou, Frank Buysschaert

J. Turbomach. April 2022, 144(4): 041002.

Paper No: TURBO-20-1431

DOI: https://doi.org/10.1115/1.4052525

Published Online: November 3, 2021

View Article titled, Statistical and Computational Evaluation of Empirical Axial Turbine Correlations in Design of Centrifugal Turbines

Topics: Blades, Design, Flow (Dynamics), Turbines, Databases, Errors, Computational fluid dynamics, Reliability, Pressure, Cascades (Fluid dynamics)

Journal Articles

Extending a Van Der Pol-Based Reduced-Order Model for Fluid–Structure Interaction Applied to Non-Synchronous Vibrations in Turbomachinery

Richard Hollenbach, Robert Kielb, Kenneth Hall

J. Turbomach. March 2022, 144(3): 031006.

Paper No: TURBO-21-1165

DOI: https://doi.org/10.1115/1.4052405

Published Online: October 4, 2021

View Article titled, Extending a Van Der Pol-Based Reduced-Order Model for Fluid–Structure Interaction Applied to Non-Synchronous Vibrations in Turbomachinery

Topics: Cylinders, Design, Errors, Fluid structure interaction, Fluids, Locks (Waterways), Stiffness, System identification, Turbomachinery, Vibration

Journal Articles

Statistical Error Estimation Methods for Engineering-Relevant Quantities From Scale-Resolving Simulations

Michael Bergmann, Christian Morsbach, Graham Ashcroft, Edmund Kügeler

J. Turbomach. March 2022, 144(3): 031005.

Paper No: TURBO-21-1038

DOI: https://doi.org/10.1115/1.4052402

Published Online: October 1, 2021

View Article titled, Statistical Error Estimation Methods for Engineering-Relevant Quantities From Scale-Resolving Simulations

Topics: Blades, Errors, Pressure, Signals, Simulation, Transients (Dynamics), Flow (Dynamics), Turbulence, Wakes

Journal Articles

Prediction of the Acoustic Reflection in a Realistic Aeroengine Intake With Three Numerical Methods to Analyze Fan Flutter

Thomas Bontemps, Stéphane Aubert, Maxime de Pret

J. Turbomach. October 2021, 143(10): 101016.

Paper No: TURBO-21-1011

DOI: https://doi.org/10.1115/1.4051113

Published Online: July 5, 2021

View Article titled, Prediction of the Acoustic Reflection in a Realistic Aeroengine Intake With Three Numerical Methods to Analyze Fan Flutter

Topics: Acoustics, Flutter (Aerodynamics), Reflection, Simulation, Waves, Errors

Journal Articles

The Dynamic Calibration Uncertainty of Fast Response Pressure Probes

Elissavet Boufidi, Fabrizio Fontaneto

J. Turbomach. October 2021, 143(10): 101007.

Paper No: TURBO-20-1379

DOI: https://doi.org/10.1115/1.4050807

Published Online: May 17, 2021

View Article titled, The Dynamic Calibration Uncertainty of Fast Response Pressure Probes

Topics: Calibration, Oscillations, Pressure, Probes, Transfer functions, Uncertainty, Shock tubes, Errors

Journal Articles

Effect of Reynolds Number on Five-Hole Probe Performance: Experimental Study of the Open-Access Oxford Probe

Maximilian Passmann, Stefan aus der Wiesche, Thomas Povey, Detlef Bergmann

J. Turbomach. September 2021, 143(9): 091003.

Paper No: TURBO-20-1376

DOI: https://doi.org/10.1115/1.4050597

Published Online: May 3, 2021

View Article titled, Effect of Reynolds Number on Five-Hole Probe Performance: Experimental Study of the Open-Access Oxford Probe

Topics: Calibration, Probes, Reynolds number, Pressure, Flow (Dynamics), Errors

Journal Articles

Reconstructing Compressor Non-Uniform Circumferential Flow Field From Spatially Undersampled Data—Part 1: Methodology and Sensitivity Analysis

Fangyuan Lou, Nicole L. Key

J. Turbomach. August 2021, 143(8): 081002.

Paper No: TURBO-20-1349

DOI: https://doi.org/10.1115/1.4050433

Published Online: April 26, 2021

View Article titled, Reconstructing Compressor Non-Uniform Circumferential Flow Field From Spatially Undersampled Data—Part 1: Methodology and Sensitivity Analysis

Topics: Approximation, Compressors, Errors, Flow (Dynamics), Particle swarm optimization, Probes, Signals, Wavelets, Sensitivity analysis, Design

Journal Articles

A Sector-Cascade Test Rig for Measurements of Heat Transfer in Turbine Center Frames

Patrick R. Jagerhofer, Marios Patinios, Gerhard Erlacher, Tobias Glasenapp, Emil Göttlich, Federica Farisco

J. Turbomach. July 2021, 143(7): 071015.

Paper No: TURBO-20-1341

DOI: https://doi.org/10.1115/1.4050432

Published Online: April 21, 2021

View Article titled, A Sector-Cascade Test Rig for Measurements of Heat Transfer in Turbine Center Frames

Topics: Film cooling, Flow (Dynamics), Heat transfer, Heat transfer coefficients, Temperature, Turbines, Struts (Engineering), Cavities, Cascades (Fluid dynamics), Pressure

Journal citation

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Manuscript

Assimilation of Disparate Data for Improving the Performance Prediction of Body-Force Model

Collaborative Robust Design Optimization of Blade Geometry and Manufacturing Tolerance for a Transonic Centrifugal Impeller

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

Temperature Dependent Property Considerations for Biot Number Matching With Composite Materials

Assessment of the Flow Field and Heat Transfer in a Vane Cooling System Using Magnetic Resonance Velocimetry, Thermochromic Liquid Crystals, and Computational Fluid Dynamics

A Data-Driven Tip Flow Loss Prediction Method for a Transonic Fan Under Boundary Layer Ingesting Inflow Distortion

A Turbo-Oriented Data-Driven Modification to the Spalart–Allmaras Turbulence Model

An Iterative Neural Operator to Predict the Thermo-Fluid Information in Internal Cooling Channels

Applying Infrared Thermography as a Method for Online Monitoring of Turbine Blade Coolant Flow

Numerical Calibration and Investigation of the Influence of Reynolds Number on Measurements With Five-Hole Probes in Compressible Flows

Machine Learning for the Development of Data-Driven Turbulence Closures in Coolant Systems

Direct and Inverse Model for Single-Hole Film Cooling With Machine Learning

Statistical and Computational Evaluation of Empirical Axial Turbine Correlations in Design of Centrifugal Turbines

Extending a Van Der Pol-Based Reduced-Order Model for Fluid–Structure Interaction Applied to Non-Synchronous Vibrations in Turbomachinery

Statistical Error Estimation Methods for Engineering-Relevant Quantities From Scale-Resolving Simulations

Prediction of the Acoustic Reflection in a Realistic Aeroengine Intake With Three Numerical Methods to Analyze Fan Flutter

The Dynamic Calibration Uncertainty of Fast Response Pressure Probes

Effect of Reynolds Number on Five-Hole Probe Performance: Experimental Study of the Open-Access Oxford Probe

Reconstructing Compressor Non-Uniform Circumferential Flow Field From Spatially Undersampled Data—Part 1: Methodology and Sensitivity Analysis

A Sector-Cascade Test Rig for Measurements of Heat Transfer in Turbine Center Frames

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