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Proceedings Papers

Multidisciplinary Analysis of the Impact of Blade Geometric Deviations on Compressor Performance Based on Fluid-Solid Grid Coordinated Deformation

Zhaoxu Tong, Huiying Zhang, Yan Zhou, Rong Xie, Shengli Xu
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A009, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122558
https://doi.org/10.1115/GT2024-122558
View Paper titled, Multidisciplinary Analysis of the Impact of Blade Geometric Deviations on Compressor Performance Based on Fluid-Solid Grid Coordinated Deformation
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Topics: Artificial neural networks, Blades, Compressors, Deformation, Errors, Fluids, Machining
Proceedings Papers

Advancing AI Modeling for Prediction of Safety Parameters for Combustion of Hydrogen/Syngas/Natural Gas Mixtures

Roda Bounaceur, Pierre-Alexandre Glaude, René Fournet, Baptiste Sirjean, Pierre Montagne, Alexandre Auvray, Eric Impellizzeri, Pierre Biehler, Michel Molière
Proc. ASME. GT2024, Volume 2: Ceramics and Ceramic Composites; Coal, Biomass, Hydrogen, and Alternative Fuels, V002T03A036, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-129044
https://doi.org/10.1115/GT2024-129044
View Paper titled, Advancing AI Modeling for Prediction of Safety Parameters for Combustion of Hydrogen/Syngas/Natural Gas Mixtures
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Topics: Combustion, Hydrogen, Modeling, Natural gas, Safety, Syngas, Errors, Fuels, Gas turbines, Ignition
Proceedings Papers

Adaptation of the Low Dissipation Low Dispersion Scheme for Reactive Multi Component Flows on Unstructured Grids Using Density-Based Solvers

Jonathan Timo Lipkowicz, Simon Goevert, Bertram Janus
Proc. ASME. GT2024, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A011, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127496
https://doi.org/10.1115/GT2024-127496
View Paper titled, Adaptation of the Low Dissipation Low Dispersion Scheme for Reactive Multi Component Flows on Unstructured Grids Using Density-Based Solvers
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Topics: Combustion, Computational fluid dynamics, Density, Energy dissipation, Flames, Flow (Dynamics), Turbulence, Flux (Metallurgy), Engineering simulation, Flamelet generated manifold
Proceedings Papers

Image-Based Flashback Detection in a Hydrogen-Fired Gas Turbine Using a Convolutional Autoencoder

Paul Porath, Vikas Yadav, Lukasz Panek, Abdulla Ghani
Proc. ASME. GT2024, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A044, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128722
https://doi.org/10.1115/GT2024-128722
View Paper titled, Image-Based Flashback Detection in a Hydrogen-Fired Gas Turbine Using a Convolutional Autoencoder
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Topics: Gas turbines, Hydrogen, Flames, Computer-aided engineering, Design, Combustion chambers, Errors, Fuels, Test facilities, Trains
Proceedings Papers

Predicting Gas Turbine NOx Emissions With Machine Learning

Harrison Eller, Sanjana Singh, Sumit Soni
Proc. ASME. GT2024, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A015, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127627
https://doi.org/10.1115/GT2024-127627
View Paper titled, Predicting Gas Turbine NOx Emissions With Machine Learning
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Topics: Emissions, Gas turbines, Machine learning, Nitrogen oxides, Deep neural networks, Artificial neural networks, Carbon monoxide, Combustion, Errors, Monitoring systems
Proceedings Papers

Implementation of Artificial Intelligence for Aircraft Engine Health Monitoring and Prognostics

Aditya Aditya, Theoklis Nikolaidis, Arias Chao Manuel, Simone Togni
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A030, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127081
https://doi.org/10.1115/GT2024-127081
View Paper titled, Implementation of Artificial Intelligence for Aircraft Engine Health Monitoring and Prognostics
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Topics: Aircraft engines, Artificial intelligence, Condition monitoring, Deep learning, Engines, Convolutional neural networks, Cycles, Flight, Service life (Equipment), Aircraft
Proceedings Papers

IndRNN-Based Data-Driven Modeling Integrated With Physical Knowledge for Engine Performance Monitoring

Dasheng Xiao, Hong Xiao, Zhanxue Wang
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A015, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124076
https://doi.org/10.1115/GT2024-124076
View Paper titled, IndRNN-Based Data-Driven Modeling Integrated With Physical Knowledge for Engine Performance Monitoring
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Topics: Aircraft engines, Engines, Modeling, Thrust, Artificial neural networks, Control systems, Deep learning, Errors, Exhaust systems, Flight
Proceedings Papers

Enhancing Total Temperature Measurement Accuracy: Calibration Procedures and Novel Two-Wire Probes

Diego Sánchez de la Rosa, Guillermo Paniagua
Proc. ASME. GT2024, Volume 4: Controls, Diagnostics, and Instrumentation, V004T05A029, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-126636
https://doi.org/10.1115/GT2024-126636
View Paper titled, Enhancing Total Temperature Measurement Accuracy: Calibration Procedures and Novel Two-Wire Probes
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Topics: Calibration, Errors, Flow (Dynamics), Heat conduction, Probes, Temperature measurement, Thermocouples, Thermography, Wire
Proceedings Papers

Teaching Aero-Engine Performance: From Analytics to Hands-on Exercises Using Gas Turbine Performance Software

Peter Jeschke, Wolfgang Koschel, Christian Klumpp, Daniel Weintraub
Proc. ASME. GT2024, Volume 6: Education; Electric Power; Energy Storage; Fans and Blowers, V006T07A004, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-123953
https://doi.org/10.1115/GT2024-123953
View Paper titled, Teaching Aero-Engine Performance: From Analytics to Hands-on Exercises Using Gas Turbine Performance Software
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Topics: Aircraft engines, Computer software, Gas turbines, Teaching, Engines, Turbojets, Cycles, Design, Temperature, Engine design
Proceedings Papers

Characteristics of Deterministic and Stochastic Unsteadiness of Trailing Edge Cutback Film Cooling Flows

Xiao He, Francesco Montomoli, Vittorio Michelassi, Andrea Panizza, Leonardo Pulga
Proc. ASME. GT2024, Volume 7: Heat Transfer: Combustors; Heat Transfer: Film Cooling, V007T12A011, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-123002
https://doi.org/10.1115/GT2024-123002
View Paper titled, Characteristics of Deterministic and Stochastic Unsteadiness of Trailing Edge Cutback Film Cooling Flows
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Topics: Film cooling, Flow (Dynamics), Heat flux, Stress tensors, Cooling, Errors, Anisotropy, Cooling systems, Design, Detached eddy simulation
Proceedings Papers

Biot Number Error in Low Temperature Inconel Overall Effectiveness Experiments

Bailey W. Hopkins, Jacob A. Hughes, Carol E. Bryant, James L. Rutledge
Proc. ASME. GT2024, Volume 7: Heat Transfer: Combustors; Heat Transfer: Film Cooling, V007T12A018, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124338
https://doi.org/10.1115/GT2024-124338
View Paper titled, Biot Number Error in Low Temperature Inconel Overall Effectiveness Experiments
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Topics: Errors, Low temperature, Engines, Temperature, Thermal conductivity, Nickel alloys, Turbine components, Nickel, Superalloys, Testing
Proceedings Papers

Modelling the Film Cooling of a Modern High-Pressure Turbine Nozzle Guide Vane in 3D CFD

Michael Müller, Robin Schöffler, Clemens Grunwitz, Christian Morsbach
Proc. ASME. GT2024, Volume 7: Heat Transfer: Combustors; Heat Transfer: Film Cooling, V007T12A031, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-126684
https://doi.org/10.1115/GT2024-126684
View Paper titled, Modelling the Film Cooling of a Modern High-Pressure Turbine Nozzle Guide Vane in 3D CFD
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Topics: Computational fluid dynamics, Film cooling, High pressure (Physics), Modeling, Nozzle guide vanes, Turbines, Cooling, Errors, Combustion chambers, Eddies (Fluid dynamics)
Proceedings Papers

Field Performance Testing and Test Codes for Gas Compressors

Klaus Brun, Rainer Kurz
Proc. ASME. GT2024, Volume 9: Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications; Steam Turbine, V009T19A009, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122217
https://doi.org/10.1115/GT2024-122217
View Paper titled, Field Performance Testing and Test Codes for Gas Compressors
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Topics: Gas compressors, Testing performance, Compressors, Uncertainty, Economics , Equations of state, Errors, Steady state, Testing
Proceedings Papers

Integrated System Modal and Mistuning Identification for Integrally Bladed Rotors

Joseph A. Beck, Jeffrey M. Brown, Daniel L. Gillaugh
Proc. ASME. GT2024, Volume 10B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V10BT27A035, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-129165
https://doi.org/10.1115/GT2024-129165
View Paper titled, Integrated System Modal and Mistuning Identification for Integrally Bladed Rotors
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Topics: Integrated systems, Rotors, Algorithms, Errors, Excitation, Ambiguity, Engines, Safety, Traveling waves, Uncertainty
Proceedings Papers

Accuracy Analysis of Multi-Plane Unbalance Identification Using Different Model Order Reduction Techniques

Khurram Shehzad, Gyan Ranjan, Tuhin Choudhury, Charles Nutakor, Jussi Sopanen
Proc. ASME. GT2024, Volume 10B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V10BT26A019, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128790
https://doi.org/10.1115/GT2024-128790
View Paper titled, Accuracy Analysis of Multi-Plane Unbalance Identification Using Different Model Order Reduction Techniques
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Topics: Algorithms, Bearings, Degrees of freedom, Disks, Errors, Finite element methods, Impellers, Machinery, Resonance, Rotors
Proceedings Papers

Validation of a Numerical Model Based on an Optical Surface Scan and Experimental Modal Analyses Under Vacuum Conditions

Denny Langheinrich, Bernd Beirow, Seif Elmasry
Proc. ASME. GT2024, Volume 10B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V10BT27A027, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128070
https://doi.org/10.1115/GT2024-128070
View Paper titled, Validation of a Numerical Model Based on an Optical Surface Scan and Experimental Modal Analyses Under Vacuum Conditions
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Topics: Compressors, Computer simulation, Modal analysis, Vacuum, Vibration, Mode shapes, Damping, Electromagnetic spectrum, Algorithms, Blades
Proceedings Papers

Using Pseudotime Marching for the Solution of Harmonic Balance Problems

Christian Frey, Jan Backhaus, Graham Ashcroft, Georg Geiser, Benjamin Winhart, Heinrich Stüer
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A038, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127820
https://doi.org/10.1115/GT2024-127820
View Paper titled, Using Pseudotime Marching for the Solution of Harmonic Balance Problems
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Topics: Aeroelasticity, Compressors, Computational fluid dynamics, Errors, Flow (Dynamics), Jacobian matrices, Linear systems, Oscillations, Robustness, Scalars
Proceedings Papers

Exploiting a Transformer Architecture for Simultaneous Development of Transition and Turbulence Models for Turbine Flow Predictions

Yuan Fang, Maximilian Reissmann, Roberto Pacciani, Yaomin Zhao, Andrew S. H. Ooi, Michele Marconcini, Harshal D. Akolekar, Richard D. Sandberg
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A023, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-125550
https://doi.org/10.1115/GT2024-125550
View Paper titled, Exploiting a Transformer Architecture for Simultaneous Development of Transition and Turbulence Models for Turbine Flow Predictions
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Topics: Flow (Dynamics), Turbines, Turbulence, Computational fluid dynamics, Errors, Reynolds-averaged Navier–Stokes equations, Computer programming, Machine learning, Natural language processing, Physics
Proceedings Papers

Non-Parametric Surrogate Model (NPSM) for High-Dimensional Aerodynamics Optimization

Jiajun Cao, Liping Xu
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A020, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-126830
https://doi.org/10.1115/GT2024-126830
View Paper titled, Non-Parametric Surrogate Model (NPSM) for High-Dimensional Aerodynamics Optimization
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Topics: Aerodynamics, Optimization, Convolutional neural networks, Flow (Dynamics), Graph neural networks, Blades, Design, Errors, Feedback, Geometry
Proceedings Papers

Extracting Meanline Modeling Parameters for Radial Turbomachinery From CFD

Chase Oliphant, Jason Metten, Steve Gorrell, Dan Maynes, Kerry Oliphant
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A054, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-129356
https://doi.org/10.1115/GT2024-129356
View Paper titled, Extracting Meanline Modeling Parameters for Radial Turbomachinery From CFD
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Topics: Compressors, Computational fluid dynamics, Modeling, Pumps, Turbomachinery, Flow (Dynamics), Impellers, Machinery, Radial flow, Design