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Proceedings Papers
Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy
Ceramics
An Investigation of the End-Notched Flexure and End-Loaded Split Tests Applied to the Mode II Interlaminar Fracture of a SiC/SiC Ceramic Matrix Composite
Michael J. Presby, K. Manigandan, Gregory N. Morscher, Cody Godines, Amir Eftekharian, Jalees Ahmad, Frank Abdi, Sung R. Choi
GT 2019; V006T02A001https://doi.org/10.1115/GT2019-90031
Thermomechanical Fatigue of Ceramic Matrix Composites
GT 2019; V006T02A002https://doi.org/10.1115/GT2019-90067
Topics:
Ceramic matrix composites
,
Fatigue
,
Thermomechanics
,
Fibers
,
Damage
,
Composite materials
,
Temperature
,
Ceramics
,
Cracking (Materials)
,
Fracture (Process)
Impact of Foreign Object Damage to Leading Edge on Fatigue Capability of CMC Turbine Vanes
GT 2019; V006T02A009https://doi.org/10.1115/GT2019-90841
Topics:
Ceramic matrix composites
,
Damage
,
Fatigue
,
Turbines
,
Coating processes
,
Coatings
,
High cycle fatigue
,
Oxidation
,
Stress concentration
,
Temperature
Complex Design Method of Ceramic Blades and Metal Disk Connection
GT 2019; V006T02A010https://doi.org/10.1115/GT2019-90875
Topics:
Blades
,
Ceramics
,
Design methodology
,
Disks
,
Metals
,
Design
,
Diamonds
,
Fracture (Materials)
,
Fracture (Process)
,
Silicon
CMC Mode II Crack Growth Resistance Prediction of ASTM Specimen and Test Validation
Frank Abdi, Cody Godines, Michael J. Presby, Amir Eftekharian, Jalees Ahmad, Sung Choi, Gregory N. Morscher, Steve Gonczy, Jun Shi
GT 2019; V006T02A011https://doi.org/10.1115/GT2019-90985
Topics:
Adhesives
,
ASTM International
,
Ceramic matrix composites
,
Density
,
Design
,
Failure
,
Failure analysis
,
Fracture (Materials)
,
Fracture toughness
Monitoring Fatigue of SiC/SiC Ceramic Matrix Composites With Acoustic Emission and Electrical Resistance
GT 2019; V006T02A013https://doi.org/10.1115/GT2019-91330
Topics:
Acoustic emissions
,
Composite materials
,
Electrical resistance
,
Fatigue
,
Silicon carbide ceramics
,
Damage
,
Fracture (Process)
,
Silicon
,
Cycles
,
Failure
Design Considerations for Ceramic Matrix Composite High Pressure Turbine Blades
GT 2019; V006T02A014https://doi.org/10.1115/GT2019-91787
Topics:
Ceramic matrix composites
,
Design
,
High pressure (Physics)
,
Turbine blades
,
Blades
,
Stress
,
Rotors
,
Density
,
Engines
,
Superalloys
Governing Parameters Influencing CMAS Adhesion and Infiltration Into Environmental/Thermal Barrier Coatings in Gas Turbine Engines
Anindya Ghoshal, Michael J. Walock, Muthuvel Murugan, Clara Mock, Luis Bravo, Marc Pepi, Andy Nieto, Andrew Wright, Jian Luo, Nishan Jain, Alison Flatau, Larry Fehrenbacher
GT 2019; V006T02A016https://doi.org/10.1115/GT2019-92000
Topics:
Adhesion
,
Gas turbines
,
Thermal barrier coatings
,
Coating processes
,
Sands
,
Temperature
,
Aircraft
,
Army
,
Aviation
,
Boundary layers
Controls, Diagnostics, and Instrumentation
An Innovative Development of a Five-Hole Pressure Probe for Highly Unsteady Flow Phenomena
GT 2019; V006T05A001https://doi.org/10.1115/GT2019-90079
Topics:
Pressure
,
Probes
,
Unsteady flow
,
Calibration
,
Additive manufacturing
,
Fiber optic sensors
,
Acoustics
,
Aerodynamics
,
Circular cylinders
,
Design
Two Degree-of-Freedom µ Synthesis Control With Kalman Filter for Flight Environment Simulation Volume With Sensors Uncertainty
GT 2019; V006T05A002https://doi.org/10.1115/GT2019-90116
Topics:
Degrees of freedom
,
Flight
,
Kalman filters
,
Sensors
,
Simulation
,
Uncertainty
,
Control equipment
,
Noise (Sound)
,
Delays
,
Feedback
Extending Engine Gas Path Analysis Using Full Flight Data
GT 2019; V006T05A004https://doi.org/10.1115/GT2019-90161
Topics:
Engines
,
Flight
,
Compressors
,
Flaw detection
,
Steady state
,
Algorithms
,
Delays
,
Fuel consumption
,
Maintenance
,
Sensors
Numerical Analysis and Optimization of Syngas Flow Rates for Gas Turbine for Low Heating Value Fuel
GT 2019; V006T05A006https://doi.org/10.1115/GT2019-90273
Topics:
Flow (Dynamics)
,
Fuels
,
Gas turbines
,
Heating
,
Numerical analysis
,
Optimization
,
Syngas
,
Combustion chambers
,
Exhaust systems
,
Temperature
Design of Control Laws Based on Inverted Decoupling and LMI for a Turboprop Engine
GT 2019; V006T05A008https://doi.org/10.1115/GT2019-90429
Topics:
Design
,
Engines
,
Blades
,
Flow (Dynamics)
,
Fuels
,
High pressure (Physics)
,
Turbines
,
Control equipment
,
Control systems
,
Feedback
A Probabilistic Uncertainty Estimation Method for Turbulence Parameters Measured by Hot Wire Anemometry in Short Duration Wind Tunnels
GT 2019; V006T05A009https://doi.org/10.1115/GT2019-90461
Topics:
Turbulence
,
Uncertainty
,
Wind tunnels
,
Wire
,
Time series
,
Turbines
,
Algorithms
,
Monte Carlo methods
,
Signals
Design and Testing of a Miniaturized Five-Hole Fast Response Pressure Probe With Large Frequency Bandwidth and High Angular Sensitivity
GT 2019; V006T05A010https://doi.org/10.1115/GT2019-90470
Topics:
Design
,
Pressure
,
Probes
,
Testing
,
Dynamic response
,
Calibration
,
Cavities
,
Engineering prototypes
,
Flow (Dynamics)
,
Frequency response
Novel Method to Predict Non-Measured Parameters of Industrial Gas Turbines Using Kalman Filter Technique
GT 2019; V006T05A011https://doi.org/10.1115/GT2019-90558
Topics:
Industrial gases
,
Kalman filters
,
Turbines
,
Gas turbines
,
Air flow
,
Algorithms
,
Cycles
,
Energy generation
,
Life cycle management
,
Matlab
Dynamic Characterization and Identification of Flow in a Blade Passage in Near-Stall Conditions of Axial Compressor Systems
GT 2019; V006T05A013https://doi.org/10.1115/GT2019-90998
Topics:
Blades
,
Compressors
,
Flow (Dynamics)
,
Stall inception
,
Surges
,
Damage
,
Dynamic systems
,
Dynamics (Mechanics)
,
Entropy
,
Flow control
Development of High Speed and High Temperature Atomic Layer Thermopiles
GT 2019; V006T05A014https://doi.org/10.1115/GT2019-91012
Topics:
High temperature
,
Sensors
,
Calibration
,
Heat
,
Heat flux
,
Cooling systems
,
Design
,
Flow (Dynamics)
,
Flux (Metallurgy)
,
Geometry
Automatic Gas Turbine Matching Scheme Adaptation for Robust GPA Diagnostics
GT 2019; V006T05A015https://doi.org/10.1115/GT2019-91018
Topics:
Gas turbines
,
Sensors
,
Aircraft engines
,
Algorithms
,
Compressors
,
Engines
,
Flight
,
Flow (Dynamics)
,
Redundancy (Engineering)
,
Safety
Design and Evaluation of a Fiber Optic Sensor for Particle and Concentration Monitoring in a Contaminated Flow Rig
GT 2019; V006T05A017https://doi.org/10.1115/GT2019-91077
Topics:
Design
,
Fiber optic sensors
,
Flow (Dynamics)
,
Particulate matter
,
Sensors
,
Engines
,
Turbomachinery
,
Abrasives
,
Aerospace industry
,
Aircraft
Experimental Demonstration of Inverse Heat Transfer Methodologies for Turbine Applications
GT 2019; V006T05A018https://doi.org/10.1115/GT2019-91105
Topics:
Heat transfer
,
Turbines
,
Temperature
,
Heat flux
,
Computation
,
Engines
,
Filters
,
Flow (Dynamics)
,
Heat conduction
,
Metals
Vibration Based Condition Monitoring of Helicopter Gearboxes Based on Cyclostationary Analysis
GT 2019; V006T05A020https://doi.org/10.1115/GT2019-91150
Topics:
Condition monitoring
,
Vibration
,
Mechanical drives
,
Bearings
,
Maintenance
,
Accidents
,
Decision making
,
Electromagnetic spectrum
,
Engines
,
Fatigue
Turning Dynamic Sensor Measurements From Gas Turbines Into Insights: A Big Data Approach
Roman Karlstetter, Robert Widhopf-Fenk, Jakob Hermann, Driek Rouwenhorst, Amir Raoofy, Carsten Trinitis, Martin Schulz
GT 2019; V006T05A021https://doi.org/10.1115/GT2019-91259
Topics:
Gas turbines
,
Sensors
,
Turning
,
Algorithms
,
Maintenance
,
Combustion
,
Data mining
,
Dynamics (Mechanics)
,
Machine learning
,
Machinery
Control Technology Needs for Electrified Aircraft Propulsion Systems
GT 2019; V006T05A022https://doi.org/10.1115/GT2019-91413
Topics:
Aircraft propulsion
,
Control systems
,
Aircraft
,
Design
,
Engines
,
Gas turbines
,
Propulsion
,
Dynamic modeling
,
Electrical components
,
Emissions
A Pneumatic Probe for Measuring Spatial Derivatives of Stagnation Pressure
GT 2019; V006T05A024https://doi.org/10.1115/GT2019-91428
Topics:
Pressure
,
Probes
,
Calibration
,
Flow (Dynamics)
,
Errors
,
Pressure gradient
,
Wakes
,
Yaw
,
Artificial neural networks
,
Compressors
Comparative Analysis of Two Gas Turbine Diagnosis Approaches
GT 2019; V006T05A025https://doi.org/10.1115/GT2019-91644
Topics:
Gas turbines
,
Physics
,
Engines
,
Pattern recognition
,
Flaw detection
,
Algorithms
,
Artificial neural networks
,
Damage
,
Errors
,
Parameter estimation
Semiconductor Nano and Micro Membrane Based Pressure Sensors for Wide Bandwidth Measurements
GT 2019; V006T05A026https://doi.org/10.1115/GT2019-91681
Topics:
Membranes
,
Pressure sensors
,
Semiconductors (Materials)
,
Pressure
,
Sensors
,
Temperature
,
Wind tunnels
,
Erosion
,
Fluids
,
Frequency response
Accurate Field Compressor Inlet Flow Measurement System
GT 2019; V006T05A027https://doi.org/10.1115/GT2019-91955
Topics:
Compressors
,
Flow measurement
,
Engines
,
Flow (Dynamics)
,
Flowmeters
,
Pressure drop
,
Air flow
,
Gas turbines
,
Safety
Education
Offshore Experience With Thermal Turbomachinery in Norwegian Petroleum Industry Through Fifty Years: A Review of Major Milestones, Lessons Learned and Impacts
GT 2019; V006T07A001https://doi.org/10.1115/GT2019-90204
Topics:
Ocean engineering
,
Petroleum industry
,
Turbomachinery
,
Gas turbines
,
Compression
,
Compressors
,
Electric motors
,
Emissions
,
Engineers
,
Gas industry
An Enhanced Gas Turbine Engine Laboratory: A Learning Platform Supporting an Undergraduate Engineering Curriculum
GT 2019; V006T07A003https://doi.org/10.1115/GT2019-91616
Topics:
Gas turbines
,
Undergraduate students
,
Students
,
Engines
,
Dynamometers
,
Flow (Dynamics)
,
Brakes
,
Data acquisition systems
,
Fuels
,
Stress
An Evidence Based Process Facilitating Engineering Education and Innovation in the Field of Turbomachinery
GT 2019; V006T07A004https://doi.org/10.1115/GT2019-91854
Topics:
Engineering education
,
Innovation
,
Turbomachinery
,
Inventions
,
Students
,
Chain
,
Cutting
,
Education
,
Energy generation
,
Energy industry
AeroEngineS: Multi-Platform Application for Aero Engine Simulation and Compressor Map Operating Point Prediction
GT 2019; V006T07A005https://doi.org/10.1115/GT2019-91961
Topics:
Aircraft engines
,
Compressors
,
Simulation
,
Design
,
Engineers
,
Engines
,
Gas turbines
,
Artificial neural networks
,
Geometry
,
Graphical user interfaces
Manufacturing Materials and Metallurgy
Hot Gas Corrosion and its Influence on the Thermal Cycling Performance of Suspension Plasma Spray TBCs
GT 2019; V006T24A001https://doi.org/10.1115/GT2019-90104
Topics:
Corrosion
,
Plasmas (Ionized gases)
,
Sprays
,
Damage
,
Fatigue
,
Coating processes
,
Coatings
,
Durability
,
Fatigue life
,
Gas turbines
Performance Informed Prognostics and its Implications
GT 2019; V006T24A002https://doi.org/10.1115/GT2019-90132
Topics:
Design
,
Emissions
,
Energy efficiency
,
Failure
,
Fuels
,
Gas turbines
,
Maintenance
,
Reliability
,
Renewable energy sources
Development of an Alternative Approach for Cutting Force Determination in Broaching
GT 2019; V006T24A003https://doi.org/10.1115/GT2019-90139
Topics:
Cutting
,
Design
,
Cutting tools
,
Disks
,
Manufacturing
,
Stress
,
Turbines
,
Blades
,
Geometry
,
High temperature
Calibrating Material Models in a Commercial FE Code for Transient TMF Simulations of Single-Crystal and Directionally-Solidified Alloys
GT 2019; V006T24A004https://doi.org/10.1115/GT2019-90142
Topics:
Alloys
,
Crystals
,
Engineering simulation
,
Simulation
,
Transients (Dynamics)
,
Blades
,
Creep
,
Gas turbines
,
Stress
,
Anisotropy
Rare-Earth Oxides Blended With Yttria-Stabilized Zirconia Thermal Barrier Coatings for Improved Resistance to Sand Adherence and Calcia-Magnesia-Alumino-Silicate (CMAS) Infiltration
Clara Mock, Michael J. Walock, Andrew Wright, Andy Nieto, Anindya Ghoshal, Muthuvel Murugan, Marc Pepi
GT 2019; V006T24A006https://doi.org/10.1115/GT2019-90395
Topics:
Sands
,
Thermal barrier coatings
,
Particulate matter
,
Engines
,
Adhesion
,
Military systems
,
Aircraft
,
Army
,
Aviation
,
Coatings
High Temperature Oxidation Lifetime Modeling of Thin-Walled Components
GT 2019; V006T24A008https://doi.org/10.1115/GT2019-90505
Topics:
Alloys
,
High temperature
,
Modeling
,
Oxidation
Comparison of Electron-Beam Physical Vapor Deposition and Plasma-Spray Physical Vapor Deposition Thermal Barrier Coating Properties Using Synchrotron X-Ray Diffraction
Matthew Northam, Lin Rossmann, Brooke Sarley, Bryan Harder, Jun-Sang Park, Peter Kenesei, Jonathan Almer, Vaishak Viswanathan, Seetha Raghavan
GT 2019; V006T24A009https://doi.org/10.1115/GT2019-90828
Assessing Manufacturing Repeatability of Inherently Damped Nickel Alloy Components via Forced-Response Testing
GT 2019; V006T24A010https://doi.org/10.1115/GT2019-90945
Topics:
Manufacturing
,
Nickel alloys
,
Testing
,
Damping
,
Geometry
,
Displacement
,
Shear (Mechanics)
,
Additive manufacturing
,
Lasers
Additive Manufacture of Prototype Turbine Blades for Hot-Fired Engine Performance Validation Trials
GT 2019; V006T24A012https://doi.org/10.1115/GT2019-90966
Topics:
Engineering prototypes
,
Engines
,
Turbine blades
,
Blades
,
Design
,
Solar energy
,
Manufacturing
,
Additive manufacturing
,
Disks
,
Gas turbines
Synchrotron XRD Measurements of Thermal Barrier Coating Configurations With Rare Earth Elements for Phosphor Thermometry
Sandip Haldar, Peter Warren, Quentin Fouliard, David Moreno, Mary McCay, Jun Sang Park, Peter Kenesei, Jonathan Almer, Ranajay Ghosh, Seetha Raghavan
GT 2019; V006T24A014https://doi.org/10.1115/GT2019-91013
Topics:
Phosphors
,
Temperature measurement
,
Thermal barrier coatings
,
Coatings
,
Temperature
,
Cycles
,
Data collection
,
Europium
,
High temperature
,
Luminescence
Modeling the Torsional Cyclic Response of Direct Metal Laser Sintered Inconel 718
GT 2019; V006T24A015https://doi.org/10.1115/GT2019-91056
Topics:
Lasers
,
Metals
,
Modeling
,
Additive manufacturing
,
Aerospace industry
,
Die cutting
,
Fatigue
,
Gas turbines
,
Shearing (Deformation)
,
Aircraft engines
Mandrel-Free Hot-Spinning of 17-4 PH Truncated Cone
GT 2019; V006T24A016https://doi.org/10.1115/GT2019-91266
Topics:
Spin (Aerodynamics)
,
Spinning (Textile)
,
Deformation
,
Materials properties
,
Alloys
,
Plates (structures)
,
Shapes
,
Temperature
A Novel Solid-State Additive Manufacturing Technology in Support of Turbomachinery Sustainment
GT 2019; V006T24A017https://doi.org/10.1115/GT2019-91419
Topics:
Additive manufacturing
,
Turbomachinery
,
Maintenance
,
Coatings
,
Joining
,
Metals
,
Alloy steel
,
Alloys
,
Aluminum alloys
,
Computer numerical control machine tools
Influence of an Additional Indexing Rotary Axis on Wire EDM Performance for the Automated Manufacture of Fir Tree Slots
GT 2019; V006T24A018https://doi.org/10.1115/GT2019-91505
Topics:
Electrical discharge machining
,
Indexing (Machining)
,
Wire
,
Machining
,
Disks
,
Aircraft propulsion
,
Alloys
,
Cutting
,
Engines
,
Machinery
Characterization of an Additively Repaired Ti-6Al-4V Alloy
Andrew L. Gyekenyesi, Sulochana Shrestha, Manigandan Kannan, Gregory Morscher, Onome E. Scott-Emuakpor
GT 2019; V006T24A020https://doi.org/10.1115/GT2019-91781
Topics:
Additive manufacturing
,
Alloys
,
Bone
,
Damage
,
Elongation
,
Failure
,
Fatigue life
,
Fatigue testing
,
Fractography
,
Gages
Reliable Temperature Measurement With Thermal History Paints: An Uncertainty Estimation Model
David Peral, Daniel Castillo, Silvia Araguas-Rodriguez, Alvaro Yañez-Gonzalez, Christopher Pilgrim, Solon Karagiannopoulos, Jörg P. Feist, Stephen Skinner
GT 2019; V006T24A022https://doi.org/10.1115/GT2019-92087
Topics:
Paints
,
Temperature measurement
,
Uncertainty
,
Temperature
,
Gas turbines
,
Calibration
,
Operating temperature
,
Phosphors
,
Thermocouples
,
Binders (Materials)