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Proceedings Papers

Performance Simulation and Analysis of a Gas Turbine Engine Using Drop-In Bio-Fuels

Proc. ASME. GT2018, Volume 3: Coal, Biomass, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems, V003T06A005, June 11–15, 2018

Paper No: GT2018-75751

DOI: https://doi.org/10.1115/GT2018-75751

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Topics: Biofuel, Gas turbines, Simulation, Fuels, Engines, Air Force, Aircraft, ASTM International, Aviation, Computer software

Proceedings Papers

Hydraulic Fuel System Simulation Using Newton-Raphson Method and its Integration With a Gas Turbine Performance Model

C. Wang, Y. G. Li

Proc. ASME. GT2017, Volume 3: Coal, Biomass and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration Applications; Organic Rankine Cycle Power Systems, V003T06A013, June 26–30, 2017

Paper No: GT2017-63881

DOI: https://doi.org/10.1115/GT2017-63881

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Topics: Fuel systems, Gas turbines, Newton's method, Simulation, Engines, Transients (Dynamics), Delays, Control systems, Fuels, Pumps

Proceedings Papers

Steady State Performance Simulation of Natural Gas Pipeline Driven by Compressor Stations

S. M. Suleiman, Y. G. Li

Proc. ASME. GT2016, Volume 3: Coal, Biomass and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems, V003T06A006, June 13–17, 2016

Paper No: GT2016-56301

DOI: https://doi.org/10.1115/GT2016-56301

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Topics: Compressors, Natural gas distribution, Simulation, Steady state, Pipelines, Natural gas, Pumping stations, Design, Flow (Dynamics), Pipeline controls

Proceedings Papers

Power Setting Sensor Fault Detection and Accommodation for Gas Turbine Engines Using Artificial Neural Networks

A. Courdier, Y. G. Li

Proc. ASME. GT2016, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T05A005, June 13–17, 2016

Paper No: GT2016-56304

DOI: https://doi.org/10.1115/GT2016-56304

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Topics: Artificial neural networks, Flaw detection, Gas turbines, Sensors, Engines, Control systems, Computer software, Condition monitoring, Failure, Industrial gases

Journal Articles

Prediction and Analysis of Impact of Thermal Barrier Coating Oxidation on Gas Turbine Creep Life

E. A. Ogiriki, Y. G. Li, Th. Nikolaidis

J. Eng. Gas Turbines Power. December 2016, 138(12): 121501.

Paper No: GTP-16-1081

DOI: https://doi.org/10.1115/1.4034020

Published Online: August 2, 2016

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Topics: Blades, Creep, Oxidation, Temperature, Engines, Gas turbines, Failure, Stress

Proceedings Papers

Prediction and Analysis of Impact of TBC Oxidation on Gas Turbine Creep Life

E. A. Ogiriki, Y. G. Li, Th. Nikolaidis

Proc. ASME. GT2015, Volume 3: Coal, Biomass and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration, V003T06A004, June 15–19, 2015

Paper No: GT2015-42177

DOI: https://doi.org/10.1115/GT2015-42177

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Topics: Creep, Gas turbines, Oxidation, Blades, Turbines, Temperature, Cooling, Damage, Energy generation, Engines

Proceedings Papers

Three-Dimensional Performance Prediction of Multistage Axial Flow Compressors With a Repeating Stage Model

Y. G. Li, A. Tourlidakis, R. L. Elder

Proc. ASME. GT1999, Volume 1: Aircraft Engine; Marine; Turbomachinery; Microturbines and Small Turbomachinery, V001T03A048, June 7–10, 1999

Paper No: 99-GT-290

DOI: https://doi.org/10.1115/99-GT-290

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Topics: Axial flow, Compressors, Pressure, Blades, Simulation, Algebra, Boundary-value problems, Clearances (Engineering), Flow (Dynamics), Leakage flows

Proceedings Papers

Training Future Engineers on Gas Turbine Gas Path Diagnostics Using PYTHIA

Y. G. Li

Proc. ASME. GT2014, Volume 6: Ceramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy, V006T08A003, June 16–20, 2014

Paper No: GT2014-25856

DOI: https://doi.org/10.1115/GT2014-25856

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Topics: Engineers, Gas turbines, Computer software, Education, Engines, Condition monitoring, Design, Internet, Maintenance, Sensors

Proceedings Papers

Application of Gas Path Analysis to Compressor Diagnosis of an Industrial Gas Turbine Using Field Data

J. Blinstrub, Y. G. Li, M. Newby, Q. Zhou, G. Stigant, P. Pilidis, H. Hönen

Proc. ASME. GT2014, Volume 3A: Coal, Biomass and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration, V03AT07A008, June 16–20, 2014

Paper No: GT2014-25330

DOI: https://doi.org/10.1115/GT2014-25330

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Topics: Compressors, Industrial gases, Turbines, Maintenance, Engines, Gas turbines, Condition monitoring, Engineers, Life cycle costing, Uncertainty

Journal Articles

Creep Life Prediction for Aero Gas Turbine Hot Section Component Using Artificial Neural Networks

M. F. Abdul Ghafir, Y. G. Li, L. Wang

J. Eng. Gas Turbines Power. March 2014, 136(3): 031504.

Paper No: GTP-13-1117

DOI: https://doi.org/10.1115/1.4025725

Published Online: November 14, 2013

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Topics: Architecture, Artificial neural networks, Creep, Errors

Proceedings Papers

Rough Set Diagnostic Frameworks for Gas Turbine Fault Classification

L. Wang, Y. G. Li, M. F. Abdul Ghafir

Proc. ASME. GT2013, Volume 2: Aircraft Engine; Coal, Biomass and Alternative Fuels; Cycle Innovations, V002T07A007, June 3–7, 2013

Paper No: GT2013-94430

DOI: https://doi.org/10.1115/GT2013-94430

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Topics: Gas turbines, Surface roughness, Artificial neural networks, Expert systems, Fuzzy logic, Turbofans

Proceedings Papers

Part-Load Performance of Gas Turbines: Part I — A Novel Compressor Map Generation Approach Suitable for Adaptive Simulation

E. Tsoutsanis, Y. G. Li, P. Pilidis, M. Newby

Proc. ASME. GTINDIA2012, ASME 2012 Gas Turbine India Conference, 733-742, December 1, 2012

Paper No: GTINDIA2012-9580

DOI: https://doi.org/10.1115/GTINDIA2012-9580

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Topics: Compressors, Gas turbines, Simulation, Stress

Proceedings Papers

Part-Load Performance of Gas Turbines: Part II — Multi-Point Adaptation With Compressor Map Generation and GA Optimization

E. Tsoutsanis, Y. G. Li, P. Pilidis, M. Newby

Proc. ASME. GTINDIA2012, ASME 2012 Gas Turbine India Conference, 743-751, December 1, 2012

Paper No: GTINDIA2012-9581

DOI: https://doi.org/10.1115/GTINDIA2012-9581

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Topics: Compressors, Design, Gas turbines, Genetic algorithms, Optimization, Stress

Proceedings Papers

Creep Life Prediction for Aero Gas Turbine Hot Section Component Using Artificial Neural Networks

M. F. Abdul Ghafir, Y. G. Li, L. Wang

Proc. ASME. GT2012, Volume 3: Cycle Innovations; Education; Electric Power; Fans and Blowers; Industrial and Cogeneration, 195-205, June 11–15, 2012

Paper No: GT2012-68856

DOI: https://doi.org/10.1115/GT2012-68856

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Topics: Artificial neural networks, Creep, Gas turbines, Architecture, Reliability, Sensors, Algorithms, Economics , Engines, Errors

Proceedings Papers

Improved Multiple Point Non-Linear Genetic Algorithm Based Performance Adaptation Using Least Square Method

Y. G. Li, M. F. Abdul Ghafir, L. Wang, R. Singh, K. Huang, X. Feng, W. Zhang

Proc. ASME. GT2011, Volume 4: Cycle Innovations; Fans and Blowers; Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Marine; Oil and Gas Applications, 49-60, June 6–10, 2011

Paper No: GT2011-45289

DOI: https://doi.org/10.1115/GT2011-45289

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Topics: Genetic algorithms, Design, Engines, Errors

Journal Articles

Nonlinear Multiple Points Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm

Y. G. Li, M. F. Abdul Ghafir, L. Wang, R. Singh, K. Huang, X. Feng

J. Eng. Gas Turbines Power. July 2011, 133(7): 071701.

DOI: https://doi.org/10.1115/1.4002620

Published Online: March 10, 2011

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Topics: Compressors, Design, Engines, Errors, Gas turbines, Genetic algorithms, Turbines

Proceedings Papers

Non-Linear Multiple Points Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm

Y. G. Li, M. F. Abdul Ghafir, L. Wang, R. Singh, K. Huang, X. Feng

Proc. ASME. GT2010, Volume 3: Controls, Diagnostics and Instrumentation; Cycle Innovations; Marine, 521-532, June 14–18, 2010

Paper No: GT2010-22285

DOI: https://doi.org/10.1115/GT2010-22285

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Topics: Design, Gas turbines, Genetic algorithms, Engines, Calibration, Modeling

Proceedings Papers

Impact of Operating and Health Conditions on Aero Gas Turbine: Hot Section Creep Life Using a Creep Factor Approach

M. F. Abdul Ghafir, Y. G. Li, R. Singh, K. Huang, X. Feng

Proc. ASME. GT2010, Volume 3: Controls, Diagnostics and Instrumentation; Cycle Innovations; Marine, 533-545, June 14–18, 2010

Paper No: GT2010-22332

DOI: https://doi.org/10.1115/GT2010-22332

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Topics: Creep, Gas turbines, Engines, Blades, Cooling, Cutting, Economics , High pressure (Physics), Maintenance, Physics

Proceedings Papers

Impact of Operating Conditions and Design Parameters on Gas Turbine Hot Section Creep Life

S. Eshati, M. F. Abdul Ghafir, P. Laskaridis, Y. G. Li

Proc. ASME. GT2010, Volume 3: Controls, Diagnostics and Instrumentation; Cycle Innovations; Marine, 547-558, June 14–18, 2010

Paper No: GT2010-22334

DOI: https://doi.org/10.1115/GT2010-22334

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Topics: Creep, Design, Gas turbines, Blades, Physics, Temperature, Cooling, Engines, Failure, Materials properties

Proceedings Papers

Gas Turbine Performance and Health Status Estimation Using Adaptive Gas Path Analysis

Y. G. Li

Proc. ASME. GT2009, Volume 4: Cycle Innovations; Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Marine, 109-121, June 8–12, 2009

Paper No: GT2009-59168

DOI: https://doi.org/10.1115/GT2009-59168

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Topics: Gas turbines

Journal citation

NARROW

Performance Simulation and Analysis of a Gas Turbine Engine Using Drop-In Bio-Fuels

Hydraulic Fuel System Simulation Using Newton-Raphson Method and its Integration With a Gas Turbine Performance Model

Steady State Performance Simulation of Natural Gas Pipeline Driven by Compressor Stations

Power Setting Sensor Fault Detection and Accommodation for Gas Turbine Engines Using Artificial Neural Networks

Prediction and Analysis of Impact of Thermal Barrier Coating Oxidation on Gas Turbine Creep Life

Prediction and Analysis of Impact of TBC Oxidation on Gas Turbine Creep Life

Three-Dimensional Performance Prediction of Multistage Axial Flow Compressors With a Repeating Stage Model

Training Future Engineers on Gas Turbine Gas Path Diagnostics Using PYTHIA

Application of Gas Path Analysis to Compressor Diagnosis of an Industrial Gas Turbine Using Field Data

Creep Life Prediction for Aero Gas Turbine Hot Section Component Using Artificial Neural Networks

Rough Set Diagnostic Frameworks for Gas Turbine Fault Classification

Part-Load Performance of Gas Turbines: Part I — A Novel Compressor Map Generation Approach Suitable for Adaptive Simulation

Part-Load Performance of Gas Turbines: Part II — Multi-Point Adaptation With Compressor Map Generation and GA Optimization

Creep Life Prediction for Aero Gas Turbine Hot Section Component Using Artificial Neural Networks

Improved Multiple Point Non-Linear Genetic Algorithm Based Performance Adaptation Using Least Square Method

Nonlinear Multiple Points Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm

Non-Linear Multiple Points Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm

Impact of Operating and Health Conditions on Aero Gas Turbine: Hot Section Creep Life Using a Creep Factor Approach

Impact of Operating Conditions and Design Parameters on Gas Turbine Hot Section Creep Life

Gas Turbine Performance and Health Status Estimation Using Adaptive Gas Path Analysis

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