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Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT30A029, June 13–17, 2022

Paper No: GT2022-82875

DOI: https://doi.org/10.1115/GT2022-82875

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Topics: Blades, Pressure, Turbines, Cascades (Fluid dynamics), Flat plates, Boundary layers, Dimensions, Geometry, Inflow, Pressure gradient

Proceedings Papers

An Experimental Test Case for Transonic Low-Pressure Turbines – Part I: Rig Design, Instrumentation and Experimental Methodology

Loris Simonassi, Gustavo Lopes, Samuel Gendebien, Antonino Federico Maria Torre, Marios Patinios, Sergio Lavagnoli, Nicolas Zeller, Ludovic Pintat

Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT30A012, June 13–17, 2022

Paper No: GT2022-81566

DOI: https://doi.org/10.1115/GT2022-81566

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Topics: Cascades (Fluid dynamics), Design, Instrumentation, Pressure, Turbines, Flow (Dynamics), Blades, Aerodynamics, Engines, Mach number

Proceedings Papers

Investigation of Physics-Informed Neural Networks Based Solution Techniques for Internal Flows

Pascal Post, Benjamin Winhart, Francesca di Mare

Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT32A011, June 13–17, 2022

Paper No: GT2022-80960

DOI: https://doi.org/10.1115/GT2022-80960

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Topics: Artificial neural networks, Internal flow, Physics, Cascades (Fluid dynamics), Computational fluid dynamics, Pressure, Blades, Boundary-value problems, Dimensions, Flow (Dynamics)

Proceedings Papers

Representation of Components Characteristics Under Performance Degradation of Gas Turbine Engine

Zhen Jiang, Xi Wang, Shubo Yang, Jiashuai Liu, Huairong Chen

Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A019, June 13–17, 2022

Paper No: GT2022-83001

DOI: https://doi.org/10.1115/GT2022-83001

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Topics: Digital twin, Dimensions, Engines, Gas turbines, Mirrors, Modeling, Pressure

Proceedings Papers

Shrinkage Prediction Using Machine Learning for Additively Manufactured Ceramic and Metallic Components for Gas Turbine Applications

Peter Warren, Nandhini Raju, Milos Krsmanovic, Hossein Ebrahimi, Jayanta Kapat, Ramesh Subramanian, Ranajay Ghosh

Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A023, June 13–17, 2022

Paper No: GT2022-83418

DOI: https://doi.org/10.1115/GT2022-83418

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Topics: Additive manufacturing, Ceramics, Gas turbines, Machine learning, Shrinkage (Materials), Sintering, Ovens, Computer-aided design, Computer software, Dimensions

Proceedings Papers

Negative Centering Forces of Wet-Gas Hole-Pattern Seals at Low Excitation Frequencies

Min Zhang, Dara W. Childs

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, V08AT22A024, June 13–17, 2022

Paper No: GT2022-83504

DOI: https://doi.org/10.1115/GT2022-83504

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Topics: Excitation, Pressure, Stiffness, Compression, Damping, Dimensions, Flow (Dynamics), Leakage, Testing

Proceedings Papers

Towards a Machine Learning Based Design for Fouling of an Axial Turbine Vane

Riccardo Friso, Stefano Oliani, Nicola Casari, Michele Pinelli, Alessio Suman, Francesco Montomoli

Proc. ASME. GT2021, Volume 2C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V02CT34A027, June 7–11, 2021

Paper No: GT2021-59520

DOI: https://doi.org/10.1115/GT2021-59520

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Topics: Design, Machine learning, Turbines, Design methodology, Computational fluid dynamics, Engines, Sensitivity analysis, Turbomachinery, Aircraft engines, Approximation

Proceedings Papers

Automatically Designed Deep Gaussian Process for Turbomachinery Application

Yuan Jin, Jin Chai, Olivier Jung

Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A001, June 7–11, 2021

Paper No: GT2021-58469

DOI: https://doi.org/10.1115/GT2021-58469

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Topics: Turbomachinery, Turbines, Design, Artificial neural networks, Blades, Dimensions, Pressure, Robustness, Stochastic processes

Proceedings Papers

Design and Flow Analysis of a Rim-Driven Hub-Less Axial Flow Fan

Hanqing Yang, Yijun Wang, Jinju Sun, Bangyi Wang, Youwei He, Peng Song

Proc. ASME. GT2021, Volume 2A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, V02AT31A018, June 7–11, 2021

Paper No: GT2021-58812

DOI: https://doi.org/10.1115/GT2021-58812

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Topics: Axial flow, Design, Flow (Dynamics), Fans, Pressure, Design methodology, Airfoils, Dimensions, FORTRAN, Noise (Sound)

Proceedings Papers

Adaptive Geometry Representation of Turbine Vane Frames for Use in Optimization

Sebastian F. Riebl, Christian Wakelam, Reinhard Niehuis

Proc. ASME. GT2021, Volume 2C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V02CT34A006, June 7–11, 2021

Paper No: GT2021-58749

DOI: https://doi.org/10.1115/GT2021-58749

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Topics: Geometry, Optimization, Turbines, Blades, Design, Parametrization, Airfoils, Bearings, Computational fluid dynamics, Computer-aided design

Proceedings Papers

Cryogenic Fuel Storage Modelling and Optimisation for Aircraft Applications

Pavlos Rompokos, Andrew Rolt, Devaiah Nalianda, Thierry Sibilli, Claire Benson

Proc. ASME. GT2021, Volume 6: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels; Microturbines, Turbochargers, and Small Turbomachines, V006T03A001, June 7–11, 2021

Paper No: GT2021-58595

DOI: https://doi.org/10.1115/GT2021-58595

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Topics: Aircraft, Fuel storage, Heat transfer, Hydrogen, Modeling, Optimization, Fuels, Design, Insulation, Pressure

Proceedings Papers

Analysis of Swirl Number Effects on Effusion Flow Behaviour Using Time Resolved PIV

T. Lenzi, A. Picchi, A. Andreini, B. Facchini

Proc. ASME. GT2021, Volume 5A: Heat Transfer — Combustors; Film Cooling, V05AT11A001, June 7–11, 2021

Paper No: GT2021-59217

DOI: https://doi.org/10.1115/GT2021-59217

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Topics: Flow (Dynamics), Tin, Cooling, Swirling flow, Combustion chambers, Jets, Momentum, Turbulence, Coolants, Cooling systems

Proceedings Papers

Effects of Trailing Edge Thickness and Blade Loading Distribution on the Aerodynamic Performance of Simulated CMC Turbine Blades

Paul W. Giel, Vikram Shyam, Paht Juangphanich, John P. Clark

Proc. ASME. GT2020, Volume 2B: Turbomachinery, V02BT33A028, September 21–25, 2020

Paper No: GT2020-15802

DOI: https://doi.org/10.1115/GT2020-15802

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Topics: Blades, Ceramic matrix composites, Turbine blades, Reynolds number, Turbulence, Cascades (Fluid dynamics), Chords (Trusses), Design, Dimensions, Mach number

Proceedings Papers

Platform Centered Reduction: A Process Capturing the Essentials for Blade-Damper Coupled Optimization

Chiara Gastaldi, Muzio M. Gola

Proc. ASME. GT2020, Volume 11: Structures and Dynamics: Structural Mechanics, Vibration, and Damping; Supercritical CO2, V011T30A044, September 21–25, 2020

Paper No: GT2020-16317

DOI: https://doi.org/10.1115/GT2020-16317

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Topics: Blades, Dampers, Optimization, Airfoils, Damping, Design, Shapes, Computation, Dimensions, Dry friction

Proceedings Papers

Numerical Investigation of a Centrifugal Compressor for Supercritical CO2 Cycles

Renan Emre Karaefe, Pascal Post, Marwick Sembritzky, Andreas Schramm, Francesca di Mare, Matthias Kunick, Uwe Gampe

Proc. ASME. GT2020, Volume 11: Structures and Dynamics: Structural Mechanics, Vibration, and Damping; Supercritical CO2, V011T31A011, September 21–25, 2020

Paper No: GT2020-15194

DOI: https://doi.org/10.1115/GT2020-15194

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Topics: Compressors, Cycles, Supercritical carbon dioxide, Computational fluid dynamics, Compression, Computer simulation, Density, Dimensions, Flow (Dynamics), Geometry

Proceedings Papers

Performance of Darrieus Wind Turbine Using Slotted Blades With Gurney Flap

Ahmed M. R. Elbaz, Ahmed A. Ibrahim, Omar S. Mohamed, Ahmed K. Etman

Proc. ASME. GT2020, Volume 12: Wind Energy, V012T42A007, September 21–25, 2020

Paper No: GT2020-15239

DOI: https://doi.org/10.1115/GT2020-15239

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Topics: Blades, Computational fluid dynamics, Vertical axis wind turbines, Wind turbines, Turbines, Airfoils, Torque, Cities, Computer software, Degrees of freedom

Proceedings Papers

Design Space Exploration of Stagnation Temperature Probes via Dimension Reduction

Ashley D. Scillitoe, Bryn Ubald, Pranay Seshadri, Shahrokh Shahpar

Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A057, September 21–25, 2020

Paper No: GT2020-16277

DOI: https://doi.org/10.1115/GT2020-16277

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Topics: Design, Dimensions, Probes, Temperature, Manufacturing, Mach number, Uncertainty, Boundary-value problems, Engines, Entropy

Proceedings Papers

Thermodynamic and Mechanical Design Concept for Micro-Turbojet to Micro-Turboshaft Engine Conversion

Christoph Öttl, Reinhard Willinger

Proc. ASME. GT2020, Volume 8: Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Marine; Microturbines, Turbochargers, and Small Turbomachines, V008T20A005, September 21–25, 2020

Paper No: GT2020-14498

DOI: https://doi.org/10.1115/GT2020-14498

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Topics: Design engineering, Engines, Turbojets, Design, Turbines, Blades, Computational fluid dynamics, Cycles, Dimensions, Gears

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

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

Effects of Ribbed Surfaces on Profile Losses of Low-Pressure-Turbine Blades

An Experimental Test Case for Transonic Low-Pressure Turbines – Part I: Rig Design, Instrumentation and Experimental Methodology

Investigation of Physics-Informed Neural Networks Based Solution Techniques for Internal Flows

Representation of Components Characteristics Under Performance Degradation of Gas Turbine Engine

Shrinkage Prediction Using Machine Learning for Additively Manufactured Ceramic and Metallic Components for Gas Turbine Applications

Negative Centering Forces of Wet-Gas Hole-Pattern Seals at Low Excitation Frequencies

Towards a Machine Learning Based Design for Fouling of an Axial Turbine Vane

Automatically Designed Deep Gaussian Process for Turbomachinery Application

Design and Flow Analysis of a Rim-Driven Hub-Less Axial Flow Fan

Adaptive Geometry Representation of Turbine Vane Frames for Use in Optimization

Cryogenic Fuel Storage Modelling and Optimisation for Aircraft Applications

Analysis of Swirl Number Effects on Effusion Flow Behaviour Using Time Resolved PIV

Effects of Trailing Edge Thickness and Blade Loading Distribution on the Aerodynamic Performance of Simulated CMC Turbine Blades

Platform Centered Reduction: A Process Capturing the Essentials for Blade-Damper Coupled Optimization

Numerical Investigation of a Centrifugal Compressor for Supercritical CO2 Cycles

Performance of Darrieus Wind Turbine Using Slotted Blades With Gurney Flap

Design Space Exploration of Stagnation Temperature Probes via Dimension Reduction

Thermodynamic and Mechanical Design Concept for Micro-Turbojet to Micro-Turboshaft Engine Conversion

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