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Proceedings Papers
Volume 2C: Turbomachinery
Design Methods and CFD Modeling for Turbomachinery
Performance Prediction and Early Design Code for Axial Turbines and its Application in Research and Predesign
GT 2016; V02CT39A003https://doi.org/10.1115/GT2016-56082
Topics:
Design
,
Turbines
,
Blades
,
Aircraft
,
Annulus
,
Computational fluid dynamics
,
Coolants
,
Flow (Dynamics)
,
Geometry
,
Graphical user interfaces
Evaluation of a Volume of Fluid CFD Methodology for the Oil Film Thickness Estimation in an Aero-Engine Bearing Chamber
GT 2016; V02CT39A007https://doi.org/10.1115/GT2016-56237
Topics:
Aircraft engines
,
Bearings
,
Computational fluid dynamics
,
Film thickness
,
Fluids
,
Simulation
,
Flow (Dynamics)
,
Air flow
,
Transients (Dynamics)
Numerical Analysis and Design Optimization of a Low Pressure Cylinder Control Valve Block of a High-Power Steam Turbine
GT 2016; V02CT39A012https://doi.org/10.1115/GT2016-56296
Topics:
Cylinders
,
Design
,
Numerical analysis
,
Optimization
,
Pressure
,
Steam turbines
,
Valves
,
Pipes
,
Energy dissipation
,
Flow (Dynamics)
Generation of the Equations for the Profile Losses Calculation in Blade Row of Axial Turbines in Design Analysis
GT 2016; V02CT39A013https://doi.org/10.1115/GT2016-56320
Topics:
Blades
,
Design
,
Turbines
,
Probability
,
Statistical analysis
,
Aircraft
,
Aviation
,
Energy dissipation
,
Gas turbines
,
Gaussian distribution
Application of an Overset Grid Method to the Large Eddy Simulation of a High-Speed Multistage Axial Compressor
GT 2016; V02CT39A015https://doi.org/10.1115/GT2016-56344
Topics:
Compressors
,
Large eddy simulation
,
Rotors
,
Blades
,
Cavities
,
Flow (Dynamics)
,
High pressure (Physics)
,
Leakage
,
Numerical analysis
,
Stators
Numerical Analysis of the Influences of Balance Hole Diameter on the Flow Characteristics of the Back Chamber of Centrifugal Pump
GT 2016; V02CT39A016https://doi.org/10.1115/GT2016-56372
Topics:
Centrifugal pumps
,
Flow (Dynamics)
,
Numerical analysis
,
Pumps
,
Fluids
,
Design
,
Impellers
,
Leakage
,
Algorithms
,
Boundary layer turbulence
An Aero-Thermal Coupled Throughflow Method for Convective Cooled Turbines
GT 2016; V02CT39A021https://doi.org/10.1115/GT2016-56563
Topics:
Turbines
,
Cooling
,
Temperature
,
Blades
,
Design
,
Accuracy and precision
,
Coolants
,
Enthalpy
,
Entropy
,
Flow (Dynamics)
The Optimization of a Centrifugal Impeller Based on a New Multi-Objective Evolutionary Strategy
GT 2016; V02CT39A022https://doi.org/10.1115/GT2016-56592
Topics:
Impellers
,
Optimization
,
Compressors
,
Geometry
,
Aircraft engines
,
Computational fluid dynamics
,
Design
,
Petrochemicals
,
Pressure
,
Three-dimensional modeling
Numerical Simulation of the Flow in the Row Labyrinth Seal of an Axial Turbine Using a Low-Mach Preconditioning Technique
GT 2016; V02CT39A024https://doi.org/10.1115/GT2016-56659
Topics:
Computer simulation
,
Flow (Dynamics)
,
Turbines
,
Boundary-value problems
,
Cavities
,
Blades
,
Mach number
,
Topology
,
Acoustics
,
Algorithms
DNS of Low-Pressure Turbine Cascade Flows With Elevated Inflow Turbulence Using a Discontinuous-Galerkin Spectral-Element Method
GT 2016; V02CT39A025https://doi.org/10.1115/GT2016-56700
Topics:
Cascades (Fluid dynamics)
,
Flow (Dynamics)
,
Inflow
,
Pressure
,
Turbines
,
Turbulence
,
Computer simulation
,
Bubbles
,
Separation (Technology)
,
Airfoils
3D CFD Compressor Map Computation of a Multi-Stage Axial Compressor With Off-Design Adjusted Rotor Geometries
GT 2016; V02CT39A026https://doi.org/10.1115/GT2016-56745
Topics:
Compressors
,
Computation
,
Computational fluid dynamics
,
Design
,
Rotors
,
Blades
,
Clearances (Engineering)
,
Geometry
,
Stress
,
Aircraft engines
A One-Dimensional Analytical Method for Turbine Blade Preliminary Cooling Design
GT 2016; V02CT39A027https://doi.org/10.1115/GT2016-56783
Topics:
Cooling
,
Design
,
Turbine blades
,
Blades
,
Coolants
,
Film cooling
,
Flow (Dynamics)
,
Temperature
,
Fluids
,
Heat transfer
Assessment of Grid Resolution Requirements for Accurate Simulation of Disparate Scales of Turbulent Flow in Low-Pressure Turbines
GT 2016; V02CT39A030https://doi.org/10.1115/GT2016-56858
Topics:
Pressure
,
Resolution (Optics)
,
Simulation
,
Turbines
,
Turbulence
,
Kinetic energy
,
Blades
,
Wakes
,
Cascades (Fluid dynamics)
,
Computer simulation
An Introduction of Aerodynamic Shape Optimization Platform for Compressor Blade
GT 2016; V02CT39A031https://doi.org/10.1115/GT2016-56861
Topics:
Blades
,
Compressors
,
Shape optimization
,
Computational fluid dynamics
,
Deformation
,
Design
,
Flow (Dynamics)
,
Optimization
,
Particle swarm optimization
,
Rotors
Flow Pattern Evolution and Energy Decomposition of Flows at Different Operating Conditions in a Hydrodynamic Torque Converter
GT 2016; V02CT39A032https://doi.org/10.1115/GT2016-56874
Topics:
Flow (Dynamics)
,
Torque converters
,
Vortices
,
Stators
,
Turbulence
,
Design
,
Energy dissipation
,
Flow separation
,
Flow visualization
,
Fluids
Aerodynamic Design Optimization of the Last Stage of a Multi-Stage Compressor by Using an Adjoint Method
GT 2016; V02CT39A033https://doi.org/10.1115/GT2016-56893
Topics:
Compressors
,
Design
,
Optimization
,
Flow (Dynamics)
,
Shapes
,
Stators
,
Blades
,
Compression
,
Computation
,
Design methodology
On the Extension of a Harmonic Balance Method for the Simulation of Compressor Casing Treatments
GT 2016; V02CT39A035https://doi.org/10.1115/GT2016-56990
Topics:
Compressors
,
Simulation
,
Flow (Dynamics)
,
Algorithms
,
Blades
,
Ducts
,
Entropy
,
Interpolation
,
Numerical analysis
,
Particulate matter
Assessment of Body Force Methodologies for the Analysis of Intake-Fan Aerodynamic Interactions
GT 2016; V02CT39A036https://doi.org/10.1115/GT2016-57014
Topics:
Annulus
,
Computation
,
Design
,
Engineering simulation
,
Engines
,
Flow separation
,
Modeling
,
Reynolds-averaged Navier–Stokes equations
,
Simulation
,
Turbofans
Computational Analysis of Compressor Blade Erosion in a Wet Compression System
GT 2016; V02CT39A037https://doi.org/10.1115/GT2016-57055
Topics:
Blades
,
Compression
,
Compressors
,
Erosion
,
Drops
,
Water
,
Particulate matter
,
Sprays
,
Boundary-value problems
,
Engineering simulation
Highly Resolved LES of a Linear HPT Vane Cascade Using Structured and Unstructured Codes
GT 2016; V02CT39A041https://doi.org/10.1115/GT2016-57189
Topics:
Cascades (Fluid dynamics)
,
Turbulence
,
Computer simulation
,
Large eddy simulation
,
Wakes
,
Blades
,
Boundary layers
,
Computer software
,
Computers
,
Design
Wall Modeled LES and its Impact on Rotor/Stator Cavity Unsteady Features
GT 2016; V02CT39A042https://doi.org/10.1115/GT2016-57244
Topics:
Cavities
,
Rotors
,
Stators
,
Flow (Dynamics)
,
Boundary layers
,
Engines
,
Modeling
,
Reynolds number
,
Stability
,
Boundary-value problems
Filtering Mixing Planes for Low Reduced Frequency Analysis of Turbomachines
GT 2016; V02CT39A044https://doi.org/10.1115/GT2016-57380
Topics:
Filtration
,
Turbomachinery
,
Blades
,
Compressors
,
Computation
,
Fans
,
Fluctuations (Physics)
,
Machinery
,
Numerical analysis
,
Rotors
Body Force Modeling of the Aerodynamics of the Fan of a Turbofan at Windmill
GT 2016; V02CT39A045https://doi.org/10.1115/GT2016-57462
Topics:
Aerodynamics
,
Modeling
,
Turbofans
,
Simulation
,
Rotors
,
Flow (Dynamics)
,
Computational fluid dynamics
,
Engines
,
Design
,
Ducts
Quasi-3D Inverse Design of a Vaned 90-Degree Bent Diffuser for the Exit of a Centrifugal Compressor Impeller
GT 2016; V02CT39A050https://doi.org/10.1115/GT2016-57881
Topics:
Compressor impellers
,
Design
,
Diffusers
,
Flow (Dynamics)
,
Guide vanes
,
Compressors
,
Geometry
,
Algorithms
,
Blades
,
Separation (Technology)
Spanwise Spectra, Reynolds Stresses and Correlations From DNS of Turbine Like APG Boundary Layers
GT 2016; V02CT39A052https://doi.org/10.1115/GT2016-57906
Topics:
Boundary layers
,
Spectra (Spectroscopy)
,
Stress
,
Turbines
,
Flow (Dynamics)
,
Pressure gradient
,
Computer simulation
,
Reynolds number
,
Wakes
,
Wire
Multidisciplinary Design Approaches, Optimization and Uncertainty Quantification
Two-Dimensional Airfoil Shape Optimization Using Highly Differentiable Splines and Evolution Strategies
GT 2016; V02CT45A001https://doi.org/10.1115/GT2016-56040
Topics:
Airfoils
,
Shape optimization
,
Splines
,
Optimization
,
Design
,
Mach number
,
Algorithms
,
Blades
,
Boundary layers
,
Computational fluid dynamics
Distributed Multidisciplinary Optimization of a Turbine Blade Regarding Performance, Reliability and Castability
GT 2016; V02CT45A002https://doi.org/10.1115/GT2016-56079
Topics:
Optimization
,
Reliability
,
Turbine blades
,
Design
,
Blades
,
Casting
,
Aircraft engines
,
Chain
,
Engineering instruments
,
Failure
Robust Optimization of the HPT Blade Cooling and Aerodynamic Efficiency
Kirill A. Vinogradov, Gennady V. Kretinin, Kseniya V. Otryahina, Roman A. Didenko, Dmitry V. Karelin, Yury N. Shmotin
GT 2016; V02CT45A003https://doi.org/10.1115/GT2016-56195
Topics:
Blades
,
Cooling
,
Optimization
,
Engines
,
Gas turbines
,
Uncertainty
,
Film cooling
,
Fluctuations (Physics)
,
Pressure
,
Response surface methodology
Geometric Modeling and Analysis for Gooseneck
GT 2016; V02CT45A004https://doi.org/10.1115/GT2016-56275
Topics:
Geometric modeling
,
Exterior walls
,
Flow (Dynamics)
,
Pressure
,
Flow separation
,
Compressors
,
Computer simulation
,
Dimensions
,
Engines
,
High pressure (Physics)
Modeling and Simulation of Common Core Gas Turbine Engine Variant Applications
GT 2016; V02CT45A005https://doi.org/10.1115/GT2016-56394
Topics:
Gas turbines
,
Modeling
,
Simulation
,
Engines
,
Design
,
Risk
,
Weight (Mass)
,
Turbofans
Multi-Objective Optimization of the Impingement-Film Cooling Structure of a HPT Endwall Using Conjugate Heat Transfer CFD
GT 2016; V02CT45A006https://doi.org/10.1115/GT2016-56559
Topics:
Computational fluid dynamics
,
Cooling
,
Heat transfer
,
Pareto optimization
,
Optimization
,
Wall temperature
,
Databases
,
Design
,
Genetic algorithms
,
Aerodynamics
A Single Formulation for Uncertainty Propagation in Turbomachinery: SAMBA PC
GT 2016; V02CT45A007https://doi.org/10.1115/GT2016-56573
Topics:
Turbomachinery
,
Uncertainty
,
Simulation
,
Polynomials
,
Uncertainty quantification
,
Chaos
,
Errors
,
Fittings
,
Algorithms
,
Approximation
Uncertainty Quantification of Heat Transfer for a Highly Loaded Gas Turbine Blade Endwall Using Polynomial Chaos
GT 2016; V02CT45A008https://doi.org/10.1115/GT2016-56575
Topics:
Blades
,
Chaos
,
Gas turbines
,
Heat transfer
,
Polynomials
,
Uncertainty quantification
,
Uncertainty
,
Flow (Dynamics)
,
Computation
,
Computational fluid dynamics
Optimization of a Centrifugal Pump Impeller by Controlling Blade Profile Parameters
GT 2016; V02CT45A009https://doi.org/10.1115/GT2016-56604
Topics:
Blades
,
Centrifugal pumps
,
Impellers
,
Optimization
,
Design
,
Pumps
,
Shapes
,
Engineering simulation
,
Genetic algorithms
,
Navier-Stokes equations
Analytical Uncertainty Analysis for Hot-Wire Measurements
GT 2016; V02CT45A010https://doi.org/10.1115/GT2016-56623
Topics:
Uncertainty analysis
,
Wire
,
Uncertainty
,
Turbulence
,
Calibration
,
Pressure
,
Probes
,
Temperature
,
Accounting
,
Flow measurement
New Correlations for High-Pressure Turbine Housing and Shroud Segments
GT 2016; V02CT45A011https://doi.org/10.1115/GT2016-56686
Topics:
High pressure (Physics)
,
Turbines
,
Design
,
Cooling
,
Flow (Dynamics)
,
Geometry
,
Engines
,
User interfaces
,
Gas turbines
,
Optimization
Inverse Design of Axial-Flow Compressor Blades Using Elastic Surface Algorithm in Subsonic and Transonic Flow Regimes With Separation
GT 2016; V02CT45A012https://doi.org/10.1115/GT2016-56717
Topics:
Algorithms
,
Axial flow
,
Blades
,
Compressors
,
Design
,
Separation (Technology)
,
Transonic flow
,
Design methodology
,
Pressure
,
Airfoils
A High-Dimensional Model Representation Guided PSO Methodology With Application on Compressor Airfoil Shape Optimization
GT 2016; V02CT45A013https://doi.org/10.1115/GT2016-56741
Topics:
Airfoils
,
Compressors
,
Particle swarm optimization
,
Shape optimization
,
Algorithms
,
Design
,
Optimization
,
Particulate matter
,
Blades
,
Construction
Adjoint-Based Unsteady Aerodynamic Optimization of a Transonic Turbine Stage
GT 2016; V02CT45A014https://doi.org/10.1115/GT2016-56885
Topics:
Optimization
,
Turbines
,
Blades
,
Turbomachinery
,
Unsteady flow
,
Design
,
Flow simulation
,
Modeling
,
Navier-Stokes equations
,
Rotors
Design and Optimization of Tandem Cascade Based on Parallel Differential Evolution Algorithm
GT 2016; V02CT45A016https://doi.org/10.1115/GT2016-56908
Topics:
Cascades (Fluid dynamics)
,
Design
,
Evolutionary algorithms
,
Optimization
,
Airfoils
,
Algorithms
,
Chords (Trusses)
,
Geometry
,
Mach number
,
Pressure
Flow Characteristics of an Optimized Axial Compressor Rotor Using Smooth Design Parameters
GT 2016; V02CT45A018https://doi.org/10.1115/GT2016-57028
Topics:
Compressors
,
Design
,
Flow (Dynamics)
,
Rotors
,
Blades
,
Airfoils
,
Optimization
,
Shapes
,
Entropy
,
Vortices
Optimization of Reinforcing Ribs of a Hollow Fan Blade Using Metamodel-Based Optimization Algorithm
GT 2016; V02CT45A021https://doi.org/10.1115/GT2016-57226
Topics:
Blades
,
Optimization
,
Optimization algorithms
,
Stress
,
Weight (Mass)
,
Design
,
Displacement
,
Aircraft engines
,
Centrifugal force
,
Computer-aided design
Optimization of Robust Transonic Compressor Blades
GT 2016; V02CT45A022https://doi.org/10.1115/GT2016-57236
Topics:
Blades
,
Compressors
,
Optimization
,
Surface roughness
,
Design
,
Stability
,
Surface quality
FLOvane: A New Approach for HP Vane Design
Dingxi Wang, Francesco Ornano, Yan Sheng Li, Roger Wells, Christer Hjalmarsson, Lars Hedlund, Thomas Povey
GT 2016; V02CT45A023https://doi.org/10.1115/GT2016-57285
Topics:
Design
,
Airfoils
,
Flow (Dynamics)
,
Optimization
,
Turbines
,
Aerodynamics
,
Aircraft engines
,
Annulus
,
Cooling
,
Cooling systems
Efficient Multi-Objective Optimization of Labyrinth Seal Leakage in Steam Turbines Based on Hybrid Surrogate Models
GT 2016; V02CT45A024https://doi.org/10.1115/GT2016-57457
Topics:
Leakage
,
Pareto optimization
,
Steam turbines
,
Optimization
,
Engineering disciplines
,
Power stations
,
Stress
,
Turbine components
,
Anisotropy
,
Approximation
Impact of Manufacturing Variability on the Aerodynamic Performance of a Centrifugal Compressor Stage With Curvilinear Blades
GT 2016; V02CT45A027https://doi.org/10.1115/GT2016-57791
Topics:
Blades
,
Compressors
,
Manufacturing
,
Impellers
,
Flow (Dynamics)
,
Design
,
Uncertainty
,
Polynomials
,
Sampling methods
,
Chaos
Multicriteria Optimization of Axial Low Pressure Compressor of Gas Turbine Power Plant
GT 2016; V02CT45A028https://doi.org/10.1115/GT2016-57856
Topics:
Compressors
,
Gas turbines
,
Optimization
,
Power stations
,
Pressure
,
Engines
,
Blades
,
Computer software
,
Design
,
Computational fluid dynamics
Optimal Arrangement of the Film Cooling Holes Considering the Manufacturing Tolerance for High Pressure Turbine Nozzle
GT 2016; V02CT45A029https://doi.org/10.1115/GT2016-57973
Topics:
Film cooling
,
High pressure (Physics)
,
Manufacturing
,
Nozzles
,
Turbines
,
Cooling
,
Design
,
Optimization
,
Shapes
,
Uncertainty
Retracted: “Multi-Objective Aerodynamic Optimisation of a Real Gas Radial-Inflow Turbine” [ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition, Volume 2C: Turbomachinery, Seoul, South Korea, June 13–17, 2016, Conference Sponsors: International Gas Turbine Institute, ISBN: 978-0-7918-4971-2, Copyright © 2016 by ASME. Paper No. GT2016-58132, pp. V02CT45A032; 9 pages; doi:10.1115/GT2016-58132]
GT 2016; V02CT45A032https://doi.org/10.1115/GT2016-58132
Topics:
Inflow
,
International Gas Turbine Institute
,
Optimization
,
Turbines
,
Turbochargers
,
Turbomachinery