Search Results | GT | ASME Digital Collection

1-20 of 686

2 3 4 5

Sort by

Sort Order Select

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

DOI: https://doi.org/10.1115/GT2022-81357

View Paper

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

DOI: https://doi.org/10.1115/GT2022-83509

View Paper

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

DOI: https://doi.org/10.1115/GT2022-84035

View Paper

Topics: Design, Reynolds-averaged Navier–Stokes equations, Turbomachinery, Diffusers, Turbulence, Flow (Dynamics), Compressors, Computational fluid dynamics, Deformation, Impellers

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

DOI: https://doi.org/10.1115/GT2022-82219

View Paper

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

DOI: https://doi.org/10.1115/GT2022-81152

View Paper

Topics: Eddies (Fluid dynamics), Engineering simulation, Engines, Explosions, Heat transfer, Hydrogen, Simulation, Stress, Waves, Heat

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

DOI: https://doi.org/10.1115/GT2022-81935

View Paper

Topics: Cascades (Fluid dynamics), Compressors, Flutter (Aerodynamics), Uncertainty quantification, Damping, Flow (Dynamics), Blades, Design, Uncertainty, Aircraft engines

Proceedings Papers

Topological Optimisation and 3d Printing of a Bladed Disc

Vincent Barreau, Enora Denimal, Loic Salles

Paper No: GT2022-78141

DOI: https://doi.org/10.1115/GT2022-78141

View Paper

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

Paper No: GT2022-80229

DOI: https://doi.org/10.1115/GT2022-80229

View Paper

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

Paper No: GT2022-80613

DOI: https://doi.org/10.1115/GT2022-80613

View Paper

Topics: Blades, Damping, Eigenvalues, Flutter (Aerodynamics), Stability, Design, Commercial air transport, Engineering simulation, Engines, Errors

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

DOI: https://doi.org/10.1115/GT2022-80634

View Paper

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

Paper No: GT2022-78306

DOI: https://doi.org/10.1115/GT2022-78306

View Paper

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

Paper No: GT2022-82917

DOI: https://doi.org/10.1115/GT2022-82917

View Paper

Topics: Cascades (Fluid dynamics), Turbines, Databases, Errors, Flow (Dynamics), Modeling, Turbulence

Proceedings Papers

Rotordynamic Characteristics of the Straight-Through Labyrinth Seal Based On the Applicability Analysis of Leakage Models Using Bulk-Flow Method

Tianhao Wang, Zhigang Li, Jun Li

Proc. ASME. GT2021, Volume 5B: Heat Transfer — General Interest; Internal Air Systems; Internal Cooling, V05BT15A015, June 7–11, 2021

Paper No: GT2021-59568

DOI: https://doi.org/10.1115/GT2021-59568

View Paper

Topics: Flow (Dynamics), Leakage, Pressure, Clearances (Engineering), Sealing (Process), Damping, Excitation, Fluids, Leakage flows, Rotors

Proceedings Papers

Investigating Heat Transfer in a Straight Cooling Passage Using Transient Infrared Temperature Data and URANS Conjugate Heat Transfer Analysis

Louis Christensen, Richard Celestina, Spencer Sperling, Randall Mathison, Hakan Aksoy, Jong Liu, Jeremy Nickol

Proc. ASME. GT2021, Volume 5B: Heat Transfer — General Interest; Internal Air Systems; Internal Cooling, V05BT15A023, June 7–11, 2021

Paper No: GT2021-60381

DOI: https://doi.org/10.1115/GT2021-60381

View Paper

Topics: Cooling, Heat transfer, Temperature, Transients (Dynamics), Heat conduction, Turbulence, Computer simulation, Errors, Convection, Engineering simulation

Proceedings Papers

Quantifying Model Uncertainties and Sensitivities in Parallel Compressor Models

Jonas Voigt, Keith-Noah Jurke, Julius Schultz, Ulrich Römer, Jens Friedrichs

Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A010, June 7–11, 2021

Paper No: GT2021-59373

DOI: https://doi.org/10.1115/GT2021-59373

View Paper

Topics: Compressors, Uncertainty, Modeling, Errors, Inflow, Computational fluid dynamics, Engineering simulation, Sampling methods, Sensitivity analysis, Simulation

Proceedings Papers

Modeling of Combustor-Turbine Vane Interaction Using Stress-Blended Eddy Simulation

Ishan Verma, Samir Rida, Laith Zori, Jaydeep Basani, Benjamin Kamrath, Dustin Brandt

Paper No: GT2021-59344

DOI: https://doi.org/10.1115/GT2021-59344

View Paper

Topics: Combustion chambers, Eddies (Fluid dynamics), Modeling, Simulation, Stress, Turbines, Stators, Flow (Dynamics), Boundary-value problems, Computational fluid dynamics

Proceedings Papers

A Novel LES-Based Process for NO x Emission Assessment in a Premixed Swirl Stabilized Combustion System

R. Meloni, A. Andreini, P. C. Nassini

Proc. ASME. GT2021, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A046, June 7–11, 2021

Paper No: GT2021-59215

DOI: https://doi.org/10.1115/GT2021-59215

View Paper

Topics: Combustion systems, Emissions, Nitrogen oxides, Flames, Combustion chambers, Fuels, Combustion, Computational fluid dynamics, Errors, Gas turbines

Proceedings Papers

The Effects of Forcing Direction on the Flame Transfer Function of a Lean-Burn Spray Flame

Nicholas C. W. Treleaven, André Fischer, Claus Lahiri, Max Staufer, Andrew Garmory, Gary J. Page

Proc. ASME. GT2021, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A010, June 7–11, 2021

Paper No: GT2021-59553

DOI: https://doi.org/10.1115/GT2021-59553

View Paper

Topics: Flames, Sprays, Transfer functions, Simulation, Engineering simulation, Acoustics, Fluctuations (Physics), Heat, Microphones, Fuel injectors

Proceedings Papers

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

Michael McCartney, Ushnish Sengupta, Matthew Juniper

Proc. ASME. GT2021, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A042, June 7–11, 2021

Paper No: GT2021-60283

DOI: https://doi.org/10.1115/GT2021-60283

View Paper

Topics: Artificial neural networks, Combustion, Pressure, Uncertainty, Hidden variables, Combustion chambers, Combustion systems, Emissions, Errors, Wall temperature

Proceedings Papers

A Comprehensive Model for Cetane Number Prediction Using Machine Learning

Abdul Gani Abdul Jameel

Proc. ASME. GT2021, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A030, June 7–11, 2021

Paper No: GT2021-60097

DOI: https://doi.org/10.1115/GT2021-60097

View Paper

Topics: Artificial neural networks, Ignition, Machine learning, Fuels, Algorithms, Combustion, Errors, Ester, Ethers (Class of compounds), Feedforward control

2 3 4 5

NARROW

Evaluation of Different Regression Models Tuned With Experimental Turbine Cascade Data

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

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

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

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

Uncertainty Quantification of Computational Flutter Estimates of a Compressor Cascade

Topological Optimisation and 3d Printing of a Bladed Disc

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

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

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

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

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

Rotordynamic Characteristics of the Straight-Through Labyrinth Seal Based On the Applicability Analysis of Leakage Models Using Bulk-Flow Method

Investigating Heat Transfer in a Straight Cooling Passage Using Transient Infrared Temperature Data and URANS Conjugate Heat Transfer Analysis

Quantifying Model Uncertainties and Sensitivities in Parallel Compressor Models

Modeling of Combustor-Turbine Vane Interaction Using Stress-Blended Eddy Simulation

A Novel LES-Based Process for NO x Emission Assessment in a Premixed Swirl Stabilized Combustion System

The Effects of Forcing Direction on the Flame Transfer Function of a Lean-Burn Spray Flame

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

A Comprehensive Model for Cetane Number Prediction Using Machine Learning

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only