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Proceedings Papers

Application of an Advanced Meta Model Selection Algorithm on the Sensitivity Analysis of a Cooled Turbine Blade

Florian Diermeier, Matthias Voigt, Ronald Mailach, Marcus Meyer
Proc. ASME. GT2022, Volume 8B: Structures and Dynamics — Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V08BT25A007, June 13–17, 2022
Paper No: GT2022-83123
DOI: https://doi.org/10.1115/GT2022-83123
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Topics: Selection algorithm, Sensitivity analysis, Turbine blades, Fittings, Aerospace industry, Complex systems, Polynomials, Reliability, Support vector machines
Proceedings Papers

Large Eddy Simulation of a Pistonless Constant Volume Combustor: A New Concept of Pressure Gain Combustion

Nicola Detomaso, Davide Laera, Paul Pouech, Florent Duchaine, Thierry Poinsot
Proc. ASME. GT2022, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A037, June 13–17, 2022
Paper No: GT2022-81366
DOI: https://doi.org/10.1115/GT2022-81366
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Topics: Combustion, Combustion chambers, Large eddy simulation, Pressure, Cycles, Exhaust systems, Valves, Boundary-value problems, Dynamics (Mechanics), Flames
Proceedings Papers

Refinement of a High Cycle Fatigue Decision-Gate Assessment for Additively Repaired Blades

Onome Scott-Emuakpor, Brian Runyon, Daniel Gillaugh, Lucas Smith, Philip Johnson
Proc. ASME. GT2022, Volume 7: Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications, V007T17A024, June 13–17, 2022
Paper No: GT2022-83282
DOI: https://doi.org/10.1115/GT2022-83282
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Topics: Blades, Gas turbines, Gates (Closures), High cycle fatigue, Maintenance, Nondestructive evaluation, Titanium, Acceptance criteria, Lasers, Additive manufacturing
Proceedings Papers

Ensemble Learning Approach to the Prediction of Gas Turbine Trip

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giovanni Bechini
Proc. ASME. GT2022, Volume 7: Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications, V007T19A002, June 13–17, 2022
Paper No: GT2022-80372
DOI: https://doi.org/10.1115/GT2022-80372
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Topics: Gas turbines, Machine learning, Reliability, Artificial neural networks, Robustness, Support vector machines
Proceedings Papers

A Comparison of Static and Rotordynamic Characteristics for Three Types of Impeller Front Seals in a Liquid Oxygen Turbopump

Zhihong Jin, Zhigang Li, Jun Li
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, V08AT22A016, June 13–17, 2022
Paper No: GT2022-82556
DOI: https://doi.org/10.1115/GT2022-82556
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Topics: Impellers, Oxygen, Leakage, Rotors, Computational fluid dynamics, Dampers, Fluids, Stability, Stators, Stress
Proceedings Papers

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

Bo Lian, Xiaocheng Zhu, Zhaohui Du
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, V08AT21A005, June 13–17, 2022
Paper No: GT2022-80613
DOI: https://doi.org/10.1115/GT2022-80613
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Topics: Blades, Damping, Eigenvalues, Flutter (Aerodynamics), Stability, Design, Commercial air transport, Engineering simulation, Engines, Errors
Proceedings Papers

The Design of a Small-Scale Pumped Heat Energy Storage System for the Demonstration of Controls and Operability

Natalie R. Smith, Brittany Tom, Aaron Rimpel, Joshua Just, Michael Marshall, George Khawly, Thomas Revak, Kevin Hoopes
Proc. ASME. GT2022, Volume 4: Cycle Innovations; Cycle Innovations: Energy Storage, V004T07A012, June 13–17, 2022
Paper No: GT2022-83424
DOI: https://doi.org/10.1115/GT2022-83424
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Topics: Design, Energy storage, Heat, Cycles, Hardware, Machinery, Design engineering, Heat engines, Heat exchangers, Heat pumps
Proceedings Papers

Liquid Air Combined Cycle

William M. Conlon, Milton Venetos, Aaron Rimpel
Proc. ASME. GT2022, Volume 4: Cycle Innovations; Cycle Innovations: Energy Storage, V004T07A001, June 13–17, 2022
Paper No: GT2022-80426
DOI: https://doi.org/10.1115/GT2022-80426
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Topics: Combined cycles, Energy storage, Cycles, Gas turbines, Heat, Compression, Compressors, Economics , Engines, Exhaust systems
Proceedings Papers

A Mechanistic Model for the Predictive Maintenance of Heavy-Duty Centrifugal Fans Operating With Dust-Laden Flows

Alessandro Vulpio, Stefano Oliani, Alessio Suman, Nicola Zanini, Paolo Saccenti
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A013, June 13–17, 2022
Paper No: GT2022-82862
DOI: https://doi.org/10.1115/GT2022-82862
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Topics: Dust, Fans, Flow (Dynamics), Maintenance, Erosion, Machinery, Particulate matter, Wear, Reliability, Blades
Proceedings Papers

Numerical Investigation of an Automotive Axial Fan: A Comparison Among Different CFD Software Packages and Experimental Validation

Nicola Aldi, Nicola Casari, Stefano Oliani, Michele Pinelli, Enrico Mollica, Filippo Menichini
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A001, June 13–17, 2022
Paper No: GT2022-78066
DOI: https://doi.org/10.1115/GT2022-78066
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Topics: Computational fluid dynamics, Computer software, Fans, Flow (Dynamics), Axial flow, Fluid dynamics, Noise (Sound), Vehicles, Air flow, Engineering simulation
Proceedings Papers

Assessment of the Impeller/Volute Relationship of Centrifugal Fans From an Aerodynamic and Aeroacoustic Perspective

Till M. Biedermann, Youssef Moutamassik, Frank Kameier
Proc. ASME. GT2022, Volume 5: Education; Electric Power; Fans and Blowers, V005T10A003, June 13–17, 2022
Paper No: GT2022-79389
DOI: https://doi.org/10.1115/GT2022-79389
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Topics: Fans, Impellers, Aerodynamics, Artificial neural networks, Cement plants, Design, Optimization, Papermaking, Pareto optimization, Petrochemicals
Proceedings Papers

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

T. Bacci, A. Picchi, S. Galeotti, B. Facchini, S. Cubeda
Proc. ASME. GT2022, Volume 6A: Heat Transfer — Combustors; Film Cooling, V06AT12A012, June 13–17, 2022
Paper No: GT2022-81161
DOI: https://doi.org/10.1115/GT2022-81161
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Topics: Heat transfer coefficients, Pressure, Reliability, Film cooling, Nozzle guide vanes, Uncertainty, Cooling systems, Design, Dimensions, Engines
Proceedings Papers

A Microscale-Based Methodology to Predict the Performance Degradation in Turbomachinery due to Particle Deposition

Riccardo Friso, Nicola Zanini, Alessio Suman, Nicola Casari, Michele Pinelli
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT32A030, June 13–17, 2022
Paper No: GT2022-82425
DOI: https://doi.org/10.1115/GT2022-82425
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Topics: Microscale devices, Particulate matter, Turbomachinery, Compressors, Surface roughness, Axial flow, Computer simulation, Engineering simulation, Engines, Fluid dynamics
Proceedings Papers

Numerical Investigation Into Maximum Pressure Capability of Intershaft Hydraulic Seals

Achinie Warusevitane, Kathy Johnson, Stephen Ambrose
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT32A025, June 13–17, 2022
Paper No: GT2022-82196
DOI: https://doi.org/10.1115/GT2022-82196
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Topics: Computational fluid dynamics, Pressure, Fluids, Leakage, Air flow, Aircraft engines, Analytical methods, Cavities, Computer simulation, Design
Proceedings Papers

Film Cooling Effectiveness Measurement of Fan-Shaped Holes Manufactured Using EDM Technique

S. Rouina, H. Abdeh, G. Barigozzi, V. Odemondo, L. Abba, M. Iannone
Proc. ASME. GT2021, Volume 5A: Heat Transfer — Combustors; Film Cooling, V05AT12A007, June 7–11, 2021
Paper No: GT2021-59038
DOI: https://doi.org/10.1115/GT2021-59038
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Topics: Electrical discharge machining, Film cooling, Coolants, Flat plates, Cooling, Engines, Manufacturing, Paints, Pressure, Reliability
Proceedings Papers

Thermoacoustic Stability Analysis of a Full-Annular Lean Combustor for Heavy-Duty Applications

Daniele Pampaloni, Antonio Andreini, Alessandro Marini, Giovanni Riccio, Gianni Ceccherini
Proc. ASME. GT2021, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A049, June 7–11, 2021
Paper No: GT2021-59267
DOI: https://doi.org/10.1115/GT2021-59267
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Topics: Combustion chambers, Stability, Flames, Dynamics (Mechanics), Engineering simulation, Fuels, Gas turbines, Simulation, Boundary-value problems, Combustion systems
Proceedings Papers

Design and Validation of a Novel Turbogenerator’s Robotized Inspection System

Enrico Pignone, Alessandro Pistone, Carlo Canali, Fabrizio D’Agostino, Gianfranco Martorana
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A010, June 7–11, 2021
Paper No: GT2021-59546
DOI: https://doi.org/10.1115/GT2021-59546
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Topics: Design, Generators, Inspection, Maintenance, Robotics, Robots, Sensors, Acoustics, Data collection, Downtime
Proceedings Papers

Data Fusion: A Project Update & Pathway Forward

Salvatore Della Villa, Jr., Robert Steele, Dongwon Shin, Sangkeun (Matt) Lee, Travis Johnston, Yong Liu, Youhai Wen, David Alman, Christopher Perullo
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T09A003, June 7–11, 2021
Paper No: GT2021-58933
DOI: https://doi.org/10.1115/GT2021-58933
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Topics: Data fusion, Turbines, Teams, Failure, Bone, Collaboration, Combustion, Design, Energy generation, Engineering disciplines
Proceedings Papers

Surge Prevention Techniques for a Turbocharged Solid Oxide Fuel Cell Hybrid System

L. Mantelli, M. L. Ferrari, A. Traverso
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T06A008, June 7–11, 2021
Paper No: GT2021-59264
DOI: https://doi.org/10.1115/GT2021-59264
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Topics: Solid oxide fuel cells, Surges, Compressors, Fuel cells, Turbines, Turbochargers, Pressure, Transients (Dynamics), Air conditioning, Damage
Proceedings Papers

Anomaly Detection for Large Fleets of Industrial Equipment: Utilizing Machine Learning With Applications to Power Plant Monitoring

Cody W. Allen, Chad Holcomb, Maurício de Oliveira
Proc. ASME. GT2021, Volume 4: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage; Education; Electric Power, V004T05A016, June 7–11, 2021
Paper No: GT2021-60116
DOI: https://doi.org/10.1115/GT2021-60116
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Topics: Machine learning, Power stations, Machinery, Gas turbines, Algorithms, Errors, Failure, Model development, Neural network models, Reliability