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Proceedings Papers

Response Surface Analysis of the Backward-Diffusion Elliptical Hole

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Shanyou Wang, Siyuan Zhang, Xueying Li, Jing Ren
Proc. ASME. GT2024, Volume 7: Heat Transfer: Combustors; Heat Transfer: Film Cooling, V007T12A015, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-123833
https://doi.org/10.1115/GT2024-123833
View Paper titled, Response Surface Analysis of the Backward-Diffusion Elliptical Hole
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Topics: Diffusion (Physics), Response surface methodology, Stress concentration
Proceedings Papers

Probabilistic Modelling Geometric Tolerance and LCF Life of Gas Turbine Compressor Blade

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Zhiqiang (David) Meng, Richard Bluck, Björn Sjödin
Proc. ASME. GT2024, Volume 10B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V10BT25A005, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127340
https://doi.org/10.1115/GT2024-127340
View Paper titled, Probabilistic Modelling Geometric Tolerance and LCF Life of Gas Turbine Compressor Blade
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Topics: Blades, Compressors, Gas turbines, Modeling, Response surface methodology
Proceedings Papers

Numerical Analysis to Optimize and Study the Impact of Area Profiling on the Performance of a Rotating Detonation Engine

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Piyush Raj, Joseph Meadows
Proc. ASME. GT2023, Volume 3B: Combustion, Fuels, and Emissions, V03BT04A014, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102982
https://doi.org/10.1115/GT2023-102982
View Paper titled, Numerical Analysis to Optimize and Study the Impact of Area Profiling on the Performance of a Rotating Detonation Engine
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Topics: Combustion chambers, Computational fluid dynamics, Engines, Explosions, Numerical analysis, Optimization, Flow (Dynamics), Design, Experimental design, Pressure
Proceedings Papers

Evaluation of Different Regression Models Tuned With Experimental Turbine Cascade Data

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Matteo Dellacasagrande, Davide Lengani, Pietro Paliotta, Daniele Petronio, Daniele Simoni, Francesco Bertini
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT30A011, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-81357
https://doi.org/10.1115/GT2022-81357
View Paper titled, Evaluation of Different Regression Models Tuned With Experimental Turbine Cascade Data
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Topics: Cascades (Fluid dynamics), Regression models, Turbines, Databases, Accounting, Collaboration, Errors, Flow (Dynamics), Modeling, Optimization
Proceedings Papers

Parameter Optimization of Combustor Dump Diffuser Based on RSM

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Yue Yan, Jianqin Suo, Yanhui Wu
Proc. ASME. GT2022, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A027, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-80872
https://doi.org/10.1115/GT2022-80872
View Paper titled, Parameter Optimization of Combustor Dump Diffuser Based on RSM
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Topics: Combustion chambers, Diffusers, Entropy, Optimization, Response surface methodology
Proceedings Papers

Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor

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Patrick Amstad, Kwok Kai So, Magnus Fischer
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A002, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-78306
https://doi.org/10.1115/GT2022-78306
View Paper titled, Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor
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Topics: Compressors, Machine learning, Optimization, Turbochargers, Turbulence, Artificial neural networks, Diffusers, Errors, Flow (Dynamics), Pressure
Proceedings Papers

Multi-Objective Optimization of Turbine Blade Tip With Film Cooling Holes

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Shuai Yang, Min Zhang, Yan Liu, Jinguang Yang
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A017, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-60126
https://doi.org/10.1115/GT2021-60126
View Paper titled, Multi-Objective Optimization of Turbine Blade Tip With Film Cooling Holes
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Topics: Computer simulation, Cooling, Film cooling, Pareto optimization, Turbine blades, Blades, Heat transfer, Cascades (Fluid dynamics), Computational fluid dynamics, Leakage flows
Proceedings Papers

Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans

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Thomas O. Meyer, Sybrand J. van der Spuy, Christiaan J. Meyer, Alessandro Corsini
Proc. ASME. GT2021, Volume 1: Aircraft Engine; Fans and Blowers; Marine; Wind Energy; Scholar Lecture, V001T10A007, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59465
https://doi.org/10.1115/GT2021-59465
View Paper titled, Optimization of a Tip Appendage for the Control of Tip Leakage Vortices in Axial Flow Fans
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Topics: Axial flow, Fans, Leakage, Optimization, Vortices, Design, Performance characterization, Databases, Experimental design, Geometry
Proceedings Papers

A Method for Establishing the Central Crack Stress Intensity Factor Database for Probabilistic Risk Assessment Based on the Universal Weight Function

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Tongge Xu, Shuiting Ding, Huimin Zhou, Guo Li
Proc. ASME. GT2021, Volume 9B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V09BT26A003, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-58727
https://doi.org/10.1115/GT2021-58727
View Paper titled, A Method for Establishing the Central Crack Stress Intensity Factor Database for Probabilistic Risk Assessment Based on the Universal Weight Function
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Topics: Databases, Failure, Fracture (Materials), Probabilistic risk assessment, Response surface methodology, Risk assessment, Stress, Weight (Mass)
Proceedings Papers

Adaptive Geometry Representation of Turbine Vane Frames for Use in Optimization

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Sebastian F. Riebl, Christian Wakelam, Reinhard Niehuis
Proc. ASME. GT2021, Volume 2C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V02CT34A006, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-58749
https://doi.org/10.1115/GT2021-58749
View Paper titled, Adaptive Geometry Representation of Turbine Vane Frames for Use in Optimization
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Topics: Geometry, Optimization, Turbines, Blades, Design, Parametrization, Airfoils, Bearings, Computational fluid dynamics, Computer-aided design
Proceedings Papers

Development of a Design Approach for the Optimization of Steam Turbine Exhaust System Performance Through CFD Modelling

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Tommaso Diurno, Stella Grazia Tomasello, Tommaso Fondelli, Antonio Andreini, Bruno Facchini, Leonardo Nettis, Lorenzo Arcangeli
Proc. ASME. GT2021, Volume 8: Oil and Gas Applications; Steam Turbine, V008T22A013, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59268
https://doi.org/10.1115/GT2021-59268
View Paper titled, Development of a Design Approach for the Optimization of Steam Turbine Exhaust System Performance Through CFD Modelling
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Topics: Computational fluid dynamics, Design, Exhaust systems, Modeling, Optimization, Steam turbines, Geometry, Diffusers, Engineering simulation, Flow (Dynamics)
Proceedings Papers

Effects of Combustor Enclosure Flow Path on Combustor Design

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Alejandro M. Briones, Nathan Thomas, Brent A. Rankin
Proc. ASME. GT2020, Volume 4A: Combustion, Fuels, and Emissions, V04AT04A003, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14127
https://doi.org/10.1115/GT2020-14127
View Paper titled, Effects of Combustor Enclosure Flow Path on Combustor Design
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Topics: Combustion chambers, Design, Flow (Dynamics), Geometry, Optimization, Cavities, Combustion, Density, Engineering simulation, Experimental design
Proceedings Papers

The Effects of Incidence and Deviation on the CFD-Based Throughflow Analysis

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Jian Li, Dongrun Wu, Jinfang Teng, Mingmin Zhu, Xiaoqing Qiang
Proc. ASME. GT2020, Volume 2A: Turbomachinery, V02AT32A010, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14293
https://doi.org/10.1115/GT2020-14293
View Paper titled, The Effects of Incidence and Deviation on the CFD-Based Throughflow Analysis
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Topics: Blades, Computational fluid dynamics, Pressure, Compressors, Design, Flow (Dynamics), Genetic algorithms, NASA, Navier-Stokes equations, Optimization
Proceedings Papers

Experimental and Numerical Study on the Effect of Fan-Shaped Hole Configuration on Film Cooling Effectiveness

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Hyun Jae Seo, Sang Hyeon Park, Jae Su Kwak, Young Seok Kang
Proc. ASME. GT2019, Volume 5B: Heat Transfer, V05BT19A013, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-90817
https://doi.org/10.1115/GT2019-90817
View Paper titled, Experimental and Numerical Study on the Effect of Fan-Shaped Hole Configuration on Film Cooling Effectiveness
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Topics: Film cooling, Shapes, Design, Reynolds-averaged Navier–Stokes equations, Blades, Coating processes, Coatings, Combustion gases, Computer software, Cooling
Proceedings Papers

An Assessment of Machine Learning Techniques for Predicting Turbine Airfoil Component Temperatures, Using FEA Simulations for Training Data

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James A. Tallman, Michal Osusky, Nick Magina, Evan Sewall
Proc. ASME. GT2019, Volume 5A: Heat Transfer, V05AT20A002, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91004
https://doi.org/10.1115/GT2019-91004
View Paper titled, An Assessment of Machine Learning Techniques for Predicting Turbine Airfoil Component Temperatures, Using FEA Simulations for Training Data
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Topics: Airfoils, Engineering simulation, Finite element analysis, Machine learning, Simulation, Temperature, Turbines, Algorithms, Artificial neural networks, Design
Proceedings Papers

Response Surface Mapping and Multi-Objective Optimization of Crowning and Tapers in Water-Lubricated Thrust Bearings

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Xin Deng, Cori Watson, Minhui He, Roger Fittro, Houston Wood
Proc. ASME. GT2019, Volume 7B: Structures and Dynamics, V07BT34A041, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91984
https://doi.org/10.1115/GT2019-91984
View Paper titled, Response Surface Mapping and Multi-Objective Optimization of Crowning and Tapers in Water-Lubricated Thrust Bearings
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Topics: Pareto optimization, Response surface methodology, Thrust bearings, Water, Design, Bearing design, Bearings, Film thickness, Optimization, Viscosity
Proceedings Papers

Uncertainty Quantification Analysis of a Pressurised Fuel Cell Hybrid System

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Alessandra Cuneo, Andrea Giugno, Luca Mantelli, Alberto Traverso
Proc. ASME. GT2019, Volume 3: Coal, Biomass, Hydrogen, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems, V003T06A013, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91351
https://doi.org/10.1115/GT2019-91351
View Paper titled, Uncertainty Quantification Analysis of a Pressurised Fuel Cell Hybrid System
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Topics: Fuel cells, Uncertainty quantification, Uncertainty, Response surface methodology, Solid oxide fuel cells, Turbochargers, Anodes, Carbon, Combined heat and power, Compressors
Proceedings Papers

Prediction of Flow Properties on Turbine Vane Airfoil Surface From 3D Geometry With Convolutional Neural Network

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Yuan Jin, Shan Li, Olivier Jung
Proc. ASME. GT2019, Volume 2D: Turbomachinery, V02DT46A007, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-90811
https://doi.org/10.1115/GT2019-90811
View Paper titled, Prediction of Flow Properties on Turbine Vane Airfoil Surface From 3D Geometry With Convolutional Neural Network
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Topics: Airfoils, Artificial neural networks, Flow (Dynamics), Geometry, Turbines, Design, Computational fluid dynamics, Engineering simulation, Simulation, Accuracy and precision
Proceedings Papers

Using Optimization in Industrial Multi-Point Radial Compressor Design: Map Correction

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Edward P. Childs, Dimitri Deserranno, Akshay Bagi
Proc. ASME. GT2019, Volume 2D: Turbomachinery, V02DT46A015, June 17–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: GT2019-91452
https://doi.org/10.1115/GT2019-91452
View Paper titled, Using Optimization in Industrial Multi-Point Radial Compressor Design: Map Correction
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Topics: Compressors, Design, Optimization, Pressure, Computational fluid dynamics, Flow (Dynamics), Failure, Industrial design, Modeling, Response surface methodology
Proceedings Papers

Investigation on a Blockerless Cascade Thrust Reverser System Based on Response Surface Method

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Li Zhou, Zhanxue Wang, Jingwei Shi, Xiaobo Zhang
Proc. ASME. GT2018, Volume 1: Aircraft Engine; Fans and Blowers; Marine, V001T01A003, June 11–15, 2018
Publisher: American Society of Mechanical Engineers
Paper No: GT2018-75110
https://doi.org/10.1115/GT2018-75110
View Paper titled, Investigation on a Blockerless Cascade Thrust Reverser System Based on Response Surface Method
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Topics: Cascades (Fluid dynamics), Response surface methodology, Thrust reversers, Flow (Dynamics), Thrust, Design, Doors, High pressure (Physics), Pressure, Actuators