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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

Digital Value Tool for Gas Turbine Digitized Cross Section

Marigrazia Moscardini, Valentina Filice, Gianni Cini, Libero Tapinassi, Matteo Berti, Riccardo Brogelli, Paolo Del Turco, Giacomo Ragni
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A014, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124314
https://doi.org/10.1115/GT2024-124314
View Paper titled, Digital Value Tool for Gas Turbine Digitized Cross Section
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Topics: Gas 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

Non-Synchronous Vibration and Related Tip Clearance Flow Characteristic in a Low-Speed Axial Fan

He Zhang, Ming Zhang, Xu Dong, Dakun Sun, Xiaofeng Sun
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT36A024, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-129094
https://doi.org/10.1115/GT2024-129094
View Paper titled, Non-Synchronous Vibration and Related Tip Clearance Flow Characteristic in a Low-Speed Axial Fan
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Topics: Clearances (Engineering), Flow (Dynamics), Vibration
Proceedings Papers

Flow Reconstruction in a Transonic Turbine Cascade Using Physics-Informed Neural Networks (PINNs)

Ezra O. McNichols, Paht Juangphanich, Mallory S. Hawke, Ethan J. Shoemaker, Mackinnon J. Poulson, Meghan E. Brandt, Jeffrey P. Bons
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A049, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128885
https://doi.org/10.1115/GT2024-128885
View Paper titled, Flow Reconstruction in a Transonic Turbine Cascade Using Physics-Informed Neural Networks (PINNs)
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Topics: Artificial neural networks, Cascades (Fluid dynamics), Flow (Dynamics), Physics, Turbines, Blades, Pressure, Mach number, Turbine blades, Boundary-value problems
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

Unsteady Flow Structure of Rotating Instability in a 1.5-Stage Axial Compressor

Nobumichi Fujisawa, Yutaka Ohta, Mai Yamagami, Takashi Goto, Dai Kato
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT36A004, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122609
https://doi.org/10.1115/GT2024-122609
View Paper titled, Unsteady Flow Structure of Rotating Instability in a 1.5-Stage Axial Compressor
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Topics: Compressors, Unsteady flow
Proceedings Papers

CFD Study of Journal Bearing Flow Physics and the Influence of Oil Feed Condition Within a Planetary Gearbox

Ivo Martin, Wolfram Kurz-Hardjosoekatmo, Sebastian Schrewe
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A048, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-128783
https://doi.org/10.1115/GT2024-128783
View Paper titled, CFD Study of Journal Bearing Flow Physics and the Influence of Oil Feed Condition Within a Planetary Gearbox
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Topics: Computational fluid dynamics, Flow (Dynamics), Journal bearings, Mechanical drives, Physics
Proceedings Papers

Noise Source Identification for the Unsteady Low Pressure Turbine Flow Fields

Lanyi Yan, Daniele Simoni, Yigang Luan, Tao Sun, Dario Barsi, Pietro Zunino
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT36A003, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-122178
https://doi.org/10.1115/GT2024-122178
View Paper titled, Noise Source Identification for the Unsteady Low Pressure Turbine Flow Fields
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Topics: Flow (Dynamics), Noise (Sound), Pressure, Principal component analysis, Rotors, Stators, Turbines
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

Experimentally Verified Optimization of a Two-Stage Real Gas Centrifugal Compressor Using an Industrial-Ready Adjoint Method

Lucian Hanimann, Benno Fleischli, Luca Mangani, Ernesto Casartelli, Ansgar Weickgenannt, Andreas Lehr
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT35A010, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124863
https://doi.org/10.1115/GT2024-124863
View Paper titled, Experimentally Verified Optimization of a Two-Stage Real Gas Centrifugal Compressor Using an Industrial-Ready Adjoint Method
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Topics: Compressors, Optimization, Pressure
Proceedings Papers

Simulation of Full Featured Compressor Using Massive Parallel Unsteady CFD

Jan Suhrmann, Paolo Adami, Vladislav Ganine, Rigel Falcao Do Couto Alves, Oliver Reutter
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A020, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124877
https://doi.org/10.1115/GT2024-124877
View Paper titled, Simulation of Full Featured Compressor Using Massive Parallel Unsteady CFD
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Topics: Compressors, Computational fluid dynamics, Simulation
Proceedings Papers

Reduction of the Excitation of Volute on Turbine Rotor by a Groove Treatment

Yv Wang, Hua Chen
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT35A009, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124527
https://doi.org/10.1115/GT2024-124527
View Paper titled, Reduction of the Excitation of Volute on Turbine Rotor by a Groove Treatment
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Topics: Excitation, High cycle fatigue, Rotors, Turbines
Proceedings Papers

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

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
Proceedings Papers

Applicability of Volume of Fluid Method to Two-Phase Flow Turbomachinery Application

Christina Salpingidou, Kwok Kai So
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A005, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121558
https://doi.org/10.1115/GT2024-121558
View Paper titled, Applicability of Volume of Fluid Method to Two-Phase Flow Turbomachinery Application
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Topics: Computational fluid dynamics, Fluids, Turbomachinery, Two-phase flow
Proceedings Papers

Uncertainty Quantification Analysis on the Cooling Flow Rate of the Cooled Turbine in a Novel H2/O2 Cycle

Bangyan Ma, Lei Shi, Xiaocheng Zhu, Zhaohui Du
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A015, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-124431
https://doi.org/10.1115/GT2024-124431
View Paper titled, Uncertainty Quantification Analysis on the Cooling Flow Rate of the Cooled Turbine in a Novel H2/O2 Cycle
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Topics: Coolants, Cooling, Cycles, Flow (Dynamics), Hydrogen fuels, Turbines, Uncertainty quantification
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