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Proceedings Papers

Generative Model Based Parameterization for More Efficient Aerodynamic Optimization of Non-Axisymmetric Endwall

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Cunxi Li, Liming Song, Zhendong Guo, Zhao Yang, Jun Li, Zhenping Feng
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A025, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128792
https://doi.org/10.1115/GT2024-128792
View Paper titled, Generative Model Based Parameterization for More Efficient Aerodynamic Optimization of Non-Axisymmetric Endwall
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Topics: Optimization, Parametrization
Journal Articles

A Novel Multi-Fidelity Surrogate for Efficient Turbine Design Optimization

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Qineng Wang, Liming Song, Zhendong Guo, Jun Li, Zhenping Feng
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. April 2024, 146(4): 041011.
Paper No: TURBO-23-1281
https://doi.org/10.1115/1.4064228
Published Online: December 21, 2023
View Articletitled, A Novel Multi-Fidelity Surrogate for Efficient Turbine Design Optimization
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Topics: Algorithms, Design, Optimization, Turbines, Cooling
Proceedings Papers

A Novel Multi-Fidelity Surrogate for Turbomachinery Design Optimization

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Qineng Wang, Liming Song, Zhendong Guo, Jun Li, Zhenping Feng
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A023, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-104237
https://doi.org/10.1115/GT2023-104237
View Paper titled, A Novel Multi-Fidelity Surrogate for Turbomachinery Design Optimization
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Topics: Design, Optimization, Turbomachinery
Journal Articles

Uncertainty Quantification of Aero-Thermal Performance of a Blade Endwall Considering Slot Geometry Deviation and Mainstream Fluctuation

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Zhi Tao, Zhendong Guo, Liming Song, Jun Li
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. November 2021, 143(11): 111013.
Paper No: TURBO-20-1425
https://doi.org/10.1115/1.4051416
Published Online: June 23, 2021
View Articletitled, Uncertainty Quantification of Aero-Thermal Performance of a Blade Endwall Considering Slot Geometry Deviation and Mainstream Fluctuation
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Topics: Blades, Film cooling, Flow (Dynamics), Geometry, Heat transfer, Sensitivity analysis, Uncertainty, Uncertainty quantification, Turbulence, Pressure
Journal Articles

Effects of Cooling Configurations on the Aerothermal Performance of a Turbine Endwall With Jet Impingement and Film Cooling

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Hongyan Bu, Zhendong Guo, Liming Song, Jun Li
Journal: Journal of Turbomachinery
Publisher: ASME
Article Type: Research Papers
J. Turbomach. June 2021, 143(6): 061013.
Paper No: TURBO-20-1334
https://doi.org/10.1115/1.4050358
Published Online: April 13, 2021
View Articletitled, Effects of Cooling Configurations on the Aerothermal Performance of a Turbine Endwall With Jet Impingement and Film Cooling
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Topics: Cooling, Design, Film cooling, Flow (Dynamics), Heat transfer, Turbines, Pressure drop, Geometry, Coolants, Impingement cooling
Proceedings Papers

Effects of Cooling Configurations on the Aerothermal Performance of a Turbine Endwall With Jet Impingement and Film Cooling

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Hongyan Bu, Zhendong Guo, Liming Song, Jun Li
Proc. ASME. GT2020, Volume 7B: Heat Transfer, V07BT12A027, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14774
https://doi.org/10.1115/GT2020-14774
View Paper titled, Effects of Cooling Configurations on the Aerothermal Performance of a Turbine Endwall With Jet Impingement and Film Cooling
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Topics: Cooling, Film cooling, Turbines, Databases, Design, Combustion, Computational fluid dynamics, Computer simulation, Cooling systems, Design methodology
Proceedings Papers

Uncertainty Quantification of Aero-Thermal Performance of a Blade Endwall Considering Slot Geometry Deviation and Mainstream Fluctuation

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Zhi Tao, Zhendong Guo, Liming Song, Jun Li
Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A029, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16183
https://doi.org/10.1115/GT2020-16183
View Paper titled, Uncertainty Quantification of Aero-Thermal Performance of a Blade Endwall Considering Slot Geometry Deviation and Mainstream Fluctuation
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Topics: Blades, Geometry, Uncertainty quantification, Flow (Dynamics), Uncertainty, Film cooling, Gas turbines, Sensitivity analysis, Failure, Fluctuations (Physics)
Proceedings Papers

Transfer Optimization in Accelerating the Design of Turbomachinery Cascades

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Qineng Wang, Liming Song, Zhendong Guo, Jun Li
Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A031, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16321
https://doi.org/10.1115/GT2020-16321
View Paper titled, Transfer Optimization in Accelerating the Design of Turbomachinery Cascades
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Topics: Design, Optimization, Turbomachinery, Algorithms
Journal Articles

Reliability-Based Design Optimization of Complex Problems With Multiple Design Points via Narrowed Search Region

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Yutian Wang, Peng Hao, Zhendong Guo, Dachuan Liu, Qiang Gao
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2020, 142(6): 061702.
Paper No: MD-19-1490
https://doi.org/10.1115/1.4045420
Published Online: December 2, 2019
View Articletitled, Reliability-Based Design Optimization of Complex Problems With Multiple Design Points via Narrowed Search Region
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Topics: Design, Event history analysis, Reliability-based optimization, Optimization, Algorithms, Failure, Probability, Simulation, Reliability
Proceedings Papers

Design Optimization of a 3D Parameterized Vane Cascade With Non-Axisymmetric Endwall Based on a Modified EGO Algorithm and Data Mining Techniques

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Chenxi Li, Zhendong Guo, Liming Song, Jun Li, Zhenping Feng
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A009, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: GT2017-63738
https://doi.org/10.1115/GT2017-63738
View Paper titled, Design Optimization of a 3D Parameterized Vane Cascade With Non-Axisymmetric Endwall Based on a Modified EGO Algorithm and Data Mining Techniques
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Topics: Algorithms, Cascades (Fluid dynamics), Data mining, Design, Optimization, Evolutionary algorithms, Pressure, Testing, Turbines, Turbomachinery
Proceedings Papers

Knowledge-Based Aero-Thermal Multi-Disciplinary Design Optimization of a High Temperature Blade

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Yingjie Song, Zhendong Guo, Liming Song, Jun Li, Zhenping Feng
Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A010, June 26–30, 2017
Publisher: American Society of Mechanical Engineers
Paper No: GT2017-63880
https://doi.org/10.1115/GT2017-63880
View Paper titled, Knowledge-Based Aero-Thermal Multi-Disciplinary Design Optimization of a High Temperature Blade
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Topics: Blades, Design, High temperature, Optimization, Algorithms, Computational fluid dynamics, Computer simulation, Cooling, Design methodology, Evolutionary algorithms
Journal Articles

Research on Metamodel-Based Global Design Optimization and Data Mining Methods

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Liming Song, Zhendong Guo, Jun Li, Zhenping Feng
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. September 2016, 138(9): 092604.
Paper No: GTP-15-1568
https://doi.org/10.1115/1.4032653
Published Online: March 22, 2016
View Articletitled, Research on Metamodel-Based Global Design Optimization and Data Mining Methods
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Topics: Data mining, Design, Optimization, Blades, Rotors
Journal Articles

Multi-Objective Aerodynamic Optimization Design and Data Mining of a High Pressure Ratio Centrifugal Impeller

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Zhendong Guo, Liming Song, Zhiming Zhou, Jun Li, Zhenping Feng
Journal: Journal of Engineering for Gas Turbines and Power
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. September 2015, 137(9): 092602.
Paper No: GTP-15-1004
https://doi.org/10.1115/1.4029882
Published Online: September 1, 2015
View Articletitled, Multi-Objective Aerodynamic Optimization Design and Data Mining of a High Pressure Ratio Centrifugal Impeller
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Topics: Data mining, Design, Impellers, Optimization, Blades
Proceedings Papers

Research on Meta-Model Based Global Design Optimization and Data Mining Methods

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Zhendong Guo, Liming Song, Jun Li, Guojun Li, Zhenping Feng
Proc. ASME. GT2015, Volume 2C: Turbomachinery, V02CT45A007, June 15–19, 2015
Publisher: American Society of Mechanical Engineers
Paper No: GT2015-42554
https://doi.org/10.1115/GT2015-42554
View Paper titled, Research on Meta-Model Based Global Design Optimization and Data Mining Methods
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Topics: Data mining, Design, Optimization, Blades, Rotors, Algorithms, Pressure, Turbomachinery, Compressors, Computational fluid dynamics
Proceedings Papers

Aerodynamic Analysis and Multi-Objective Optimization Design of a High Pressure Ratio Centrifugal Impeller

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Zhendong Guo, Zhiming Zhou, Liming Song, Jun Li, Zhenping Feng
Proc. ASME. GT2014, Volume 2D: Turbomachinery, V02DT42A013, June 16–20, 2014
Publisher: American Society of Mechanical Engineers
Paper No: GT2014-25496
https://doi.org/10.1115/GT2014-25496
View Paper titled, Aerodynamic Analysis and Multi-Objective Optimization Design of a High Pressure Ratio Centrifugal Impeller
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Topics: Design, High pressure (Physics), Impellers, Pareto optimization, Data mining, Optimization, Pressure, Reynolds-averaged Navier–Stokes equations, Blades, Boundary layers
Proceedings Papers

Multi-Objective and Multi-Disciplinary Optimization of Gas Turbine Blade Profile and Cooling System Using Conjugate Heat Transfer Analysis

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Yingjie Song, Zhendong Guo, Liming Song, Jun Li, Zhenping Feng
Proc. ASME. GT2014, Volume 2B: Turbomachinery, V02BT45A005, June 16–20, 2014
Publisher: American Society of Mechanical Engineers
Paper No: GT2014-25495
https://doi.org/10.1115/GT2014-25495
View Paper titled, Multi-Objective and Multi-Disciplinary Optimization of Gas Turbine Blade Profile and Cooling System Using Conjugate Heat Transfer Analysis
Open the PDF for Multi-Objective and Multi-Disciplinary Optimization of Gas Turbine Blade Profile and Cooling System Using Conjugate Heat Transfer Analysis in another window
Topics: Blades, Cooling systems, Gas turbines, Heat transfer, Optimization, Data mining, Design, Flow (Dynamics), Coolants, Algorithms