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Proceedings Papers

A Real Time AI-Based Strategy for the Design of a Low-Pressure Turbine Profile

Juri Bellucci, Angelo Alberto Granata, Mattia Silei, Matteo Giovannini, Ennio Spano, Andrea Notaristefano, Davide Lengani
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A026, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128809
https://doi.org/10.1115/GT2024-128809
View Paper titled, A Real Time AI-Based Strategy for the Design of a Low-Pressure Turbine Profile
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Topics: Design, Pressure, Turbines
Proceedings Papers

Design of Broadband Liner Based on Cremer Concept

Ji Zhang, Xianghai Qiu, Lin Du, Xiaofeng Sun
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT33A008, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124758
https://doi.org/10.1115/GT2024-124758
View Paper titled, Design of Broadband Liner Based on Cremer Concept
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Topics: Design, Noise control
Proceedings Papers

Multi-Fidelity Aeromechanical Design Framework for High Flow Speed Multistage Axial Compressors

Rémy Nigro, Lieven Baert, Florence Nyssen, Jean de Cazenove, Joachim Dominique, Ingrid Lepot, Monica Veglio, Rémy Princivalle
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A008, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122244
https://doi.org/10.1115/GT2024-122244
View Paper titled, Multi-Fidelity Aeromechanical Design Framework for High Flow Speed Multistage Axial Compressors
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Topics: Compressors, Design, Flow (Dynamics), Optimization, Architecture, Aviation, Carbon, Cycles, Dynamics (Mechanics), Emissions
Proceedings Papers

Optimization of Low-Pressure Turbine Blade by Means of Fine Inspection of Loss Production Mechanisms

Matteo Russo, Andrea Carlucci, Matteo Dellacasagrande, Daniele Petronio, Davide Lengani, Daniele Simoni, Juri Bellucci, Matteo Giovannini, Angelo Alberto Granata, Monica Gily, Carlotta Manca
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT36A023, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128710
https://doi.org/10.1115/GT2024-128710
View Paper titled, Optimization of Low-Pressure Turbine Blade by Means of Fine Inspection of Loss Production Mechanisms
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Topics: Inspection, Large eddy simulation, Optimization, Pressure, Turbine blades, Blades, Wakes, Turbulence, Boundary layers, Energy dissipation
Proceedings Papers

An Automatic Film Cooling Hole Mesh Generation System Based on Matrix Dividing Strategy

Jiazheng Fan, Xiaotong Jia, Chuang Han, Weihong Li, Penghao Duan
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A031, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127065
https://doi.org/10.1115/GT2024-127065
View Paper titled, An Automatic Film Cooling Hole Mesh Generation System Based on Matrix Dividing Strategy
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Topics: Film cooling, Mesh generation, Cooling, Blades, Design, Turbine blades, Computational fluid dynamics, Geometry, Rotors, Cooling systems
Proceedings Papers

Data-Driven Inverse Design Method for Turbomachinery

Kwok Kai So, Luis Salamanca, Firat Ozdemir, Fernando Perez-Cruz
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A004, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121752
https://doi.org/10.1115/GT2024-121752
View Paper titled, Data-Driven Inverse Design Method for Turbomachinery
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Topics: Design methodology, Turbomachinery, Design, Artificial neural networks, Optimization, Physics, Thrust bearings, Turbines
Proceedings Papers

Experimental Characterisation of Surge Cycles and Second Quadrant Operation for a Centrifugal Compressor

Ola Ilseth Pronk, Lars Eirik Bakken
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT36A001, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121338
https://doi.org/10.1115/GT2024-121338
View Paper titled, Experimental Characterisation of Surge Cycles and Second Quadrant Operation for a Centrifugal Compressor
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Topics: Compressors, Cycles, Design, Experimental characterization, Flow instability, Surges
Proceedings Papers

Reassessment of the Conventional: Numerical Validation of a 1D Model for the Prediction of Volute Losses

Thomas Ceyrowsky, André Hildebrandt, Martin Heinrich, Rüdiger Schwarze
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT35A002, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121765
https://doi.org/10.1115/GT2024-121765
View Paper titled, Reassessment of the Conventional: Numerical Validation of a 1D Model for the Prediction of Volute Losses
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Topics: Boundary-value problems, Compressors, Computational fluid dynamics, Databases, Design, Diffusers, Flow (Dynamics), Fluids, Kinetic energy, Physics
Proceedings Papers

Adaptation of Air Centrifugal Compressor Stages for Hydrogen-Based Economy: Impact on the Design Point and its Corresponding Flow Coefficient

Norman Kienzle, Mushfiq Al Arafa, Francesca di Mare, Marcus Budt
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT35A020, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127981
https://doi.org/10.1115/GT2024-127981
View Paper titled, Adaptation of Air Centrifugal Compressor Stages for Hydrogen-Based Economy: Impact on the Design Point and its Corresponding Flow Coefficient
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Topics: Compressors, Computational fluid dynamics, Design, Economics , Flow (Dynamics), Hydrogen
Proceedings Papers

Efficient Quantification of Aerodynamic Performance Uncertainty due to Geometric Variability Using an Adjoint Method

Qian Zhang, Shenren Xu, Dejun Meng, Dingxi Wang, Xiuquan Huang
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A022, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127703
https://doi.org/10.1115/GT2024-127703
View Paper titled, Efficient Quantification of Aerodynamic Performance Uncertainty due to Geometric Variability Using an Adjoint Method
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Topics: Uncertainty, Uncertainty quantification, Computational fluid dynamics, Blades, Dimensions, Vortices, Clearances (Engineering), Compressors, Corners (Structural elements), Design
Proceedings Papers

Prediction of Steady and Unsteady Flow Quantities Using Multiscale Graph Neural Networks

Sebastian Strönisch, Maximilian Sander, Marcus Meyer, Andreas Knüpfer
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A003, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121697
https://doi.org/10.1115/GT2024-121697
View Paper titled, Prediction of Steady and Unsteady Flow Quantities Using Multiscale Graph Neural Networks
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Topics: Computational fluid dynamics, Graph neural networks, Turbomachinery, Unsteady flow, Flow (Dynamics), Fluids, Artificial neural networks, Databases, Design, Engineering simulation
Proceedings Papers

The Design of High Temperature Heat Pump Compressor Using the Inverse Design Method

Luying Zhang, Jiangnan Zhang, Mehrdad Zangeneh
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT35A027, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-129065
https://doi.org/10.1115/GT2024-129065
View Paper titled, The Design of High Temperature Heat Pump Compressor Using the Inverse Design Method
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Topics: Compressors, Design, Design methodology, Heat pumps, High temperature, Optimization
Proceedings Papers

NASA HECC Geometry and Performance Review Part 2: Geometric Differences Between the As-Manufactured and Design-Intent Impeller Geometry and Their Effects on the Vaneless Diffuser Configuration Performance

Gregorio Robles Vega, Alec J. Bosshart, Michael Ni, Ron-Ho Ni, Herbert M. Harrison, Tammy Nguyen-Huynh
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT35A012, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-125360
https://doi.org/10.1115/GT2024-125360
View Paper titled, NASA HECC Geometry and Performance Review Part 2: Geometric Differences Between the As-Manufactured and Design-Intent Impeller Geometry and Their Effects on the Vaneless Diffuser Configuration Performance
Open the PDF for NASA HECC Geometry and Performance Review Part 2: Geometric Differences Between the As-Manufactured and Design-Intent Impeller Geometry and Their Effects on the Vaneless Diffuser Configuration Performance in another window
Topics: Design, Geometry, Impellers, NASA, Performance evaluation, Vaneless diffusers, Blades, Computer simulation, Clearances (Engineering), Compressors
Proceedings Papers

NASA HECC Geometry and Performance Review Part 1: Validation of a Computational Model for the Vaneless Diffuser Configuration With As-Manufactured Impeller Geometry

Gregorio Robles Vega, Alec J. Bosshart, Michael Ni, Ron-Ho Ni, Herbert M. Harrison, Tammy Nguyen-Huynh
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT35A011, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-125128
https://doi.org/10.1115/GT2024-125128
View Paper titled, NASA HECC Geometry and Performance Review Part 1: Validation of a Computational Model for the Vaneless Diffuser Configuration With As-Manufactured Impeller Geometry
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Topics: Compressors, Computer simulation, Geometry, Impellers, NASA, Performance evaluation, Vaneless diffusers, Engineering simulation, Simulation, Computer-aided design
Proceedings Papers

Collaborative Design in Context for Whole Engine Mechanical Design

Leran Wang, David Toal, Alessandro Anobile, Felix Stanley
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A018, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-125853
https://doi.org/10.1115/GT2024-125853
View Paper titled, Collaborative Design in Context for Whole Engine Mechanical Design
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Topics: Design, Design engineering, Engines
Proceedings Papers

Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization

Marcus Wiegand, Andriy Prots, Marcus Meyer, Robin Schmidt, Matthias Voigt, Ronald Mailach
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A006, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121977
https://doi.org/10.1115/GT2024-121977
View Paper titled, Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization
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Topics: Compressors, Design, Optimization, Rotors, Uncertainty quantification, Robustness, Uncertainty, Blades, Engines, Geometry
Proceedings Papers

Machine Learning Application to Centrifugal Compressor Design

David Ransom, Ravichandra Srinivasan
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT35A016, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-125831
https://doi.org/10.1115/GT2024-125831
View Paper titled, Machine Learning Application to Centrifugal Compressor Design
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Topics: Compressors, Design, Machine learning
Proceedings Papers

LES Analysis of Loss Anomaly of a Turbine Blade With Large Trailing Edge Radius

Kenji Miki, Ali Ameri, Paul Giel
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT36A020, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128243
https://doi.org/10.1115/GT2024-128243
View Paper titled, LES Analysis of Loss Anomaly of a Turbine Blade With Large Trailing Edge Radius
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Topics: Ceramic matrix composites, Turbine blades, Vortex shedding, Pressure, Reynolds number, Waves, Wakes, Blades, Aerodynamics, Cascades (Fluid dynamics)
Proceedings Papers

Design Guidelines for Arrays of Closely Spaced Darrieus Turbines

Omar Sherif Mohamed, Pier Francesco Melani, Giuseppe Soraperra, Alessandra Brighenti, Francesco Balduzzi, Alessandro Bianchini
Proc. ASME. GT2024, Volume 13: Heat Transfer: General Interest / Additive Manufacturing Impacts on Heat Transfer; Wind Energy, V013T37A006, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121978
https://doi.org/10.1115/GT2024-121978
View Paper titled, Design Guidelines for Arrays of Closely Spaced Darrieus Turbines
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Topics: Computational fluid dynamics, Design, Rotors, Turbines
Proceedings Papers

Numerical Demonstration for a Novel Design of High-Temperature Turbine Facility Enabled by Shock Tube

Yizhi Fang, Wei Zeng, Haiteng Ma
Proc. ASME. GT2024, Volume 13: Heat Transfer: General Interest / Additive Manufacturing Impacts on Heat Transfer; Wind Energy, V013T13A031, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-127546
https://doi.org/10.1115/GT2024-127546
View Paper titled, Numerical Demonstration for a Novel Design of High-Temperature Turbine Facility Enabled by Shock Tube
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Topics: Cascades (Fluid dynamics), Computer simulation, Design, Heat transfer, High temperature, Shock tubes, Shock waves, Turbines