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Proceedings Papers

Digital Service Twin to Assess Engine Deterioration and Remaining Part Life

Markus Klein, Stephan Staudacher, Kimon Abu-Taa, Jonas Schwengler

Proc. ASME. GT2022, Volume 1: Aircraft Engine; Ceramics and Ceramic Composites, V001T01A020, June 13–17, 2022

Paper No: GT2022-82113

DOI: https://doi.org/10.1115/GT2022-82113

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Topics: Engines, Databases, Flight, Cycles, Damage, Jet engines, Performance, Resolution (Optics), Sensitivity analysis, Service life (Equipment)

Proceedings Papers

A GTC-CGC Health Assessment Method for Gas Turbine Engine

Ran Ao, Yunpeng Cao, Junqi Luan, Xiaoyu Han, Shuying Li, Li Yan

Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A020, June 13–17, 2022

Paper No: GT2022-83076

DOI: https://doi.org/10.1115/GT2022-83076

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Topics: Gas turbines, Service life (Equipment)

Proceedings Papers

Explainable and Interpretable AI-Assisted Remaining Useful Life Estimation for Aeroengines

Giorgois Protopapadakis, Asteris Apostolidis, Anestis I. Kalfas

Proc. ASME. GT2022, Volume 2: Coal, Biomass, Hydrogen, and Alternative Fuels; Controls, Diagnostics, and Instrumentation; Steam Turbine, V002T05A002, June 13–17, 2022

Paper No: GT2022-80777

DOI: https://doi.org/10.1115/GT2022-80777

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Topics: Service life (Equipment), Maintenance, Algorithms, Artificial intelligence, Artificial neural networks, Cycles, Databases, Engines, Feature selection, Flight

Proceedings Papers

Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data

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, V007T19A004, June 13–17, 2022

Paper No: GT2022-80666

DOI: https://doi.org/10.1115/GT2022-80666

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Topics: Gas turbines, Artificial neural networks, Failure, Maintenance, Sensors, Service life (Equipment)

Proceedings Papers

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

Adrian Loghin

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, V08AT24A005, June 13–17, 2022

Paper No: GT2022-80229

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

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Topics: Fatigue cracks, Finite element analysis, Fracture (Materials), Service life (Equipment), Shapes, Stress, Crack propagation, Errors, Modeling, Computer software

Proceedings Papers

Numerical Investigation of Air-Oil Two-Phase Flow Pattern Transition in the Scavenge Line of an Aeroengine

Ghofrane Sekrani, Jean-Sebastien Dick, Sébastien Poncet, Sravankumar Nallamothu

Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T01A009, June 7–11, 2021

Paper No: GT2021-58988

DOI: https://doi.org/10.1115/GT2021-58988

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Topics: Two-phase flow, Flow (Dynamics), Modeling, Fluids, Porosity, Turbulence, Air flow, Algebra, Calibration, Compressibility

Proceedings Papers

Effect of Differential Tip Clearance on the Performance of a Tandem Rotor

Amit Kumar, Hitesh Chhugani, Shubhali More, A. M. Pradeep

Proc. ASME. GT2021, Volume 2A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, V02AT31A023, June 7–11, 2021

Paper No: GT2021-59007

DOI: https://doi.org/10.1115/GT2021-59007

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Topics: Clearances (Engineering), Rotors, Vortices, Pressure, Pressure gradient, Blades, Design, Engines, Flow (Dynamics), Leakage

Proceedings Papers

Prediction of Gas Turbine Trip: a Novel Methodology Based on Random Forest Models

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi

Proc. ASME. GT2021, Volume 8: Oil and Gas Applications; Steam Turbine, V008T20A005, June 7–11, 2021

Paper No: GT2021-58916

DOI: https://doi.org/10.1115/GT2021-58916

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Topics: Gas turbines, Machine learning, Case studies, Data mining, Image segmentation, Natural, scientific and engineering processes and practices, Profitability, Sensors, Service life (Equipment), Time series

Proceedings Papers

Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Fabio Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi

Proc. ASME. GT2021, Volume 8: Oil and Gas Applications; Steam Turbine, V008T20A004, June 7–11, 2021

Paper No: GT2021-58914

DOI: https://doi.org/10.1115/GT2021-58914

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Topics: Gas turbines, Machine learning, Algorithms, Damage, Fourier transforms, Peak load, Performance, Reliability, Service life (Equipment), Stress

Proceedings Papers

Bearing Skidding Detection for High Speed and Aero Engine Applications

Azzedine Dadouche, Rami Kerrouche

Proc. ASME. GT2021, Volume 9A: Structures and Dynamics — Aerodynamics Excitation and Damping; Bearing and Seal Dynamics; Emerging Methods in Design and Engineering, V09AT24A014, June 7–11, 2021

Paper No: GT2021-59122

DOI: https://doi.org/10.1115/GT2021-59122

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Topics: Aircraft engines, Bearings, Lubrication, Roller bearings, Rollers, Stress, Acoustics, Damage, Data acquisition systems, Electromagnetic induction

Proceedings Papers

Data Driven Approach to Analyzing The Impact of Power Plant Cycling on Air Preheater Degradation and Remaining Useful Life

Himanshu Sharma, Veronica Adetola, Laurentiu Marinovici, Herbert T. Schaef

Proc. ASME. GT2021, Volume 9B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V09BT26A013, June 7–11, 2021

Paper No: GT2021-59914

DOI: https://doi.org/10.1115/GT2021-59914

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Topics: Power stations, Service life (Equipment)

Proceedings Papers

Design and Analysis of Cooling Structure for Dry Gas Seal Chamber of Supercritical Carbon Dioxide Turbine Shaft End

Tao Yuan, Zhigang Li, Jun Li, Qi Yuan

Proc. ASME. GT2021, Volume 10: Supercritical CO2, V010T30A012, June 7–11, 2021

Paper No: GT2021-59177

DOI: https://doi.org/10.1115/GT2021-59177

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Topics: Cooling, Design, Supercritical carbon dioxide, Turbines, Temperature, Deformation, Leakage, Clearances (Engineering), Compressors, Flow (Dynamics)

Proceedings Papers

Influence of the Tool Wear on the Quality and Service Life of Gears for the Geared Turbofan Technology Machined by Five-Axis Milling

Thomas Lakner, Christoph Zachert, René Greschert, Daniel Schraknepper, Thomas Bergs

Proc. ASME. GT2021, Volume 7: Industrial and Cogeneration; Manufacturing Materials and Metallurgy, V007T17A007, June 7–11, 2021

Paper No: GT2021-59172

DOI: https://doi.org/10.1115/GT2021-59172

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Topics: Gears, Machining, Milling, Service life (Equipment), Turbofans, Wear

Proceedings Papers

Crystal Visco-Plastic Model for Ni-Base Superalloys Under Thermomechanical Fatigue

Navindra Wijeyeratne, Firat Irmak, Ali P. Gordon, Jun-Young Jeon

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT27A003, September 21–25, 2020

Paper No: GT2020-14163

DOI: https://doi.org/10.1115/GT2020-14163

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Topics: Anisotropy, Crystals, Fatigue, Modeling, Superalloys, Thermomechanics, Temperature, Stress, Hardening, Simulation

Proceedings Papers

Equivalent Linearization of Bladed Disk Assemblies With Friction Nonlinearities Under Random Excitation

Alwin Förster, Lars Panning-von Scheidt, Jörg Wallaschek

Proc. ASME. GT2020, Volume 11: Structures and Dynamics: Structural Mechanics, Vibration, and Damping; Supercritical CO2, V011T30A005, September 21–25, 2020

Paper No: GT2020-14264

DOI: https://doi.org/10.1115/GT2020-14264

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Topics: Disks, Friction, Random excitation, Excitation, Dampers, Degrees of freedom, Manufacturing, Energy dissipation, Linear systems, Nonlinear equations

Proceedings Papers

Design Framework for Optimized Multifunctional Coatings

Nima Moazami, Frank Abdi, Gregory N. Morscher, Cody Godines, Larry Zawada, George Jefferson, Jalees Ahmed

Proc. ASME. GT2020, Volume 3: Ceramics; Coal, Biomass, Hydrogen, and Alternative Fuels, V003T02A004, September 21–25, 2020

Paper No: GT2020-15068

DOI: https://doi.org/10.1115/GT2020-15068

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Topics: Coatings, Design, Durability, Modeling, Service life (Equipment), Thermal conductivity

Proceedings Papers

Structured Methodology for Clustering Gas Turbine Transients by Means of Multi-Variate Time Series

Enzo Losi, Mauro Venturini, Lucrezia Manservigi, Giuseppe Ceschini, Giovanni Bechini, Giuseppe Cota, Fabrizio Riguzzi

Proc. ASME. GT2020, Volume 9: Oil and Gas Applications; Organic Rankine Cycle Power Systems; Steam Turbine, V009T21A005, September 21–25, 2020

Paper No: GT2020-14751

DOI: https://doi.org/10.1115/GT2020-14751

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Topics: Gas turbines, Time series, Transients (Dynamics), Algorithms, Case studies, Damage, Data mining, Databases, Engines, Reliability

Proceedings Papers

Experimental Investigation on the Rubbing Process of Labyrinth Seals Against Honeycomb Liners

Oliver Munz, Lisa Hühn, Corina Schwitzke, Hans-Jörg Bauer, Tim Fischer, Sonun Ulan kyzy

Proc. ASME. GT2020, Volume 10A: Structures and Dynamics, V10AT25A032, September 21–25, 2020

Paper No: GT2020-15935

DOI: https://doi.org/10.1115/GT2020-15935

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Topics: Honeycomb structures, Wear, Flow (Dynamics), Leakage, Optimization, Rotors, Sealing (Process), Service life (Equipment), Stators, Stress

Proceedings Papers

Water Droplet Erosion Life Prediction Method for Steam Turbine Blade Materials Based on Image Recognition and Machine Learning

Zheyuan Zhang, Tianyuan Liu, Di Zhang, Yonghui Xie

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT27A007, September 21–25, 2020

Paper No: GT2020-14414

DOI: https://doi.org/10.1115/GT2020-14414

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Topics: ASTM International, Blades, Drops, Erosion, Machine learning, Service life (Equipment), Steam turbines, Water

Proceedings Papers

Comparative Assessment of Fouling Scenarios in an Axial Flow Compressor

Ioannis Templalexis, Vasilios Pachidis, Azamar Hasani

Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T06A002, September 21–25, 2020

Paper No: GT2020-14393

DOI: https://doi.org/10.1115/GT2020-14393

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Topics: Axial flow, Blades, Compressors, Engines, Filtration, Flow (Dynamics), Geometry, Particulate matter, Pressure, Service life (Equipment)

2 3 4 5

NARROW

Digital Service Twin to Assess Engine Deterioration and Remaining Part Life

A GTC-CGC Health Assessment Method for Gas Turbine Engine

Explainable and Interpretable AI-Assisted Remaining Useful Life Estimation for Aeroengines

Detection of the Onset of Trip Symptoms Embedded in Gas Turbine Operating Data

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

Numerical Investigation of Air-Oil Two-Phase Flow Pattern Transition in the Scavenge Line of an Aeroengine

Effect of Differential Tip Clearance on the Performance of a Tandem Rotor

Prediction of Gas Turbine Trip: a Novel Methodology Based on Random Forest Models

Data Selection and Feature Engineering for the Application of Machine Learning to the Prediction of Gas Turbine Trip

Bearing Skidding Detection for High Speed and Aero Engine Applications

Data Driven Approach to Analyzing The Impact of Power Plant Cycling on Air Preheater Degradation and Remaining Useful Life

Design and Analysis of Cooling Structure for Dry Gas Seal Chamber of Supercritical Carbon Dioxide Turbine Shaft End

Influence of the Tool Wear on the Quality and Service Life of Gears for the Geared Turbofan Technology Machined by Five-Axis Milling

Crystal Visco-Plastic Model for Ni-Base Superalloys Under Thermomechanical Fatigue

Equivalent Linearization of Bladed Disk Assemblies With Friction Nonlinearities Under Random Excitation

Design Framework for Optimized Multifunctional Coatings

Structured Methodology for Clustering Gas Turbine Transients by Means of Multi-Variate Time Series

Experimental Investigation on the Rubbing Process of Labyrinth Seals Against Honeycomb Liners

Water Droplet Erosion Life Prediction Method for Steam Turbine Blade Materials Based on Image Recognition and Machine Learning

Comparative Assessment of Fouling Scenarios in an Axial Flow Compressor

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