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Proceedings Papers

Verification of an Adjoint Code for FGM Combustion

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Stefano Duranti, Dominic Jones, Yongzhe Zhang, Graham Goldin
Proc. ASME. GT2024, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A069, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-126700
https://doi.org/10.1115/GT2024-126700
View Paper titled, Verification of an Adjoint Code for FGM Combustion
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Topics: Combustion, Flamelet generated manifold, Design, Combustion chambers, Emissions, Flames, Flow (Dynamics), Nitrogen oxides, Optimization algorithms, Shapes
Proceedings Papers

Energy and Economic Optimization of the Design and Operation of Hybrid Energy Plants Under Current and Future Economic Scenarios

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Giulia Anna Maria Castorino, Enzo Losi, Lucrezia Manservigi, Michele Pinelli, Pier Ruggero Spina, Mauro Venturini
Proc. ASME. GT2024, Volume 8: Heat Transfer: Internal Air Systems; Heat Transfer: Internal Cooling; Industrial and Cogeneration, V008T16A002, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121980
https://doi.org/10.1115/GT2024-121980
View Paper titled, Energy and Economic Optimization of the Design and Operation of Hybrid Energy Plants Under Current and Future Economic Scenarios
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Topics: Design, Economics , Optimization, Renewable energy, Absorption, Algorithms, Energy / power systems, Heat pumps, Boilers, Carbon dioxide
Proceedings Papers

Techno-Economic Optimisation of Gas Compressor Station Location As a Decision Variable

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Oluwatayo Babatope Ojo, Uyioghosa Igie, Pericles Pilidis
Proc. ASME. GT2024, Volume 9: Manufacturing Materials and Metallurgy; Microturbines, Turbochargers, and Small Turbomachines; Oil & Gas Applications; Steam Turbine, V009T19A018, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-126805
https://doi.org/10.1115/GT2024-126805
View Paper titled, Techno-Economic Optimisation of Gas Compressor Station Location As a Decision Variable
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Topics: Economics , Gas compressors, Life cycle costing, Optimization, Pipelines, Compressors, Performance, Pipeline systems, Economic analysis, Genetic algorithms
Proceedings Papers

The Impact of Different Equilibrium Hypothesis on the Non-Linear Response of Bladed Disks

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Gianmarco Zara, Teresa Maria Berruti, Stefano Zucca
Proc. ASME. GT2024, Volume 10B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V10BT27A007, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-123245
https://doi.org/10.1115/GT2024-123245
View Paper titled, The Impact of Different Equilibrium Hypothesis on the Non-Linear Response of Bladed Disks
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Topics: Bladed disks, Dampers, Equilibrium (Physics), Friction, Vibration, Blades, Computation, Coulombs, Damping, Geometry
Proceedings Papers

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

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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
Open the PDF for Robust Design Optimization of a Compressor Rotor Using Recursive Cokriging Based Multi-Fidelity Uncertainty Quantification and Multi-Fidelity Optimization in another window
Topics: Compressors, Design, Optimization, Rotors, Uncertainty quantification, Robustness, Uncertainty, Blades, Engines, Geometry
Proceedings Papers

A Multi Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas

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Valerio Francesco Barnabei, Tullio Carlo Maria Ancora, Michela Conti, Alessio Castorrini, Giovanni Delibra, Franco Rispoli, Alessandro Corsini
Proc. ASME. GT2024, Volume 13: Heat Transfer: General Interest / Additive Manufacturing Impacts on Heat Transfer; Wind Energy, V013T37A012, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-126008
https://doi.org/10.1115/GT2024-126008
View Paper titled, A Multi Objective Optimization Framework for Offshore Wind Farm Design in Deep Water Seas
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Topics: Design, Ocean engineering, Pareto optimization, Seas, Water, Wind farms, Energy generation, Optimization, Turbines, Genetic algorithms
Proceedings Papers

Comparison Between Gradient-Free and Gradient-Based Optimizations of the SRV2 Radial Compressor

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Arnaud Châtel, Tom Verstraete
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A012, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102387
https://doi.org/10.1115/GT2023-102387
View Paper titled, Comparison Between Gradient-Free and Gradient-Based Optimizations of the SRV2 Radial Compressor
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Topics: Compressors, Optimization, Design, Computational fluid dynamics, Fluids, Geometry, Impellers, Optimization algorithms, Reynolds-averaged Navier–Stokes equations, Steady state
Proceedings Papers

New Concept for Design in Turbomachinery Applications using Full RANS Gradient Methodology

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Armando Del Rio, Ernesto Casartelli, Benno Fleischli, Luca Mangani
Proc. ASME. GT2022, Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V10CT32A046, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-84035
https://doi.org/10.1115/GT2022-84035
View Paper titled, New Concept for Design in Turbomachinery Applications using Full RANS Gradient Methodology
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Topics: Design, Reynolds-averaged Navier–Stokes equations, Turbomachinery, Diffusers, Turbulence, Flow (Dynamics), Compressors, Computational fluid dynamics, Deformation, Impellers
Proceedings Papers

Comparing Gradient-Free and Gradient-Based Multi-Objective Optimization Methodologies on the VKI-LS89 Turbine Vane Test Case

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Romain Hottois, Arnaud Châtel, Grégory Coussement, Tom Verstraete, Tom De Bruyn
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A013, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82218
https://doi.org/10.1115/GT2022-82218
View Paper titled, Comparing Gradient-Free and Gradient-Based Multi-Objective Optimization Methodologies on the VKI-LS89 Turbine Vane Test Case
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Topics: Pareto optimization, Turbines, Optimization, Design, Algorithms, Cascades (Fluid dynamics), Entropy, Evolutionary algorithms, Flow (Dynamics), Flow turning
Proceedings Papers

The New Chapter of Transonic Compressor Cascade Design at the DLR

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Edwin J. Munoz Lopez, Alexander Hergt, Sebastian Grund
Proc. ASME. GT2022, Volume 1: Aircraft Engine; Ceramics and Ceramic Composites, V001T01A005, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-80189
https://doi.org/10.1115/GT2022-80189
View Paper titled, The New Chapter of Transonic Compressor Cascade Design at the DLR
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Topics: Cascades (Fluid dynamics), Compressors, Design, Optimization, Blades, Wind tunnels, Transonic flow, Chain, Computational fluid dynamics, Engineering simulation
Proceedings Papers

An Optimization Methodology for Turbines Driven by Pulsed Detonation Combustors

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Majid Asli, Panagiotis Stathopoulos
Proc. ASME. GT2022, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A022, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-80673
https://doi.org/10.1115/GT2022-80673
View Paper titled, An Optimization Methodology for Turbines Driven by Pulsed Detonation Combustors
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Topics: Combustion chambers, Explosions, Optimization, Turbines, Exhaust systems, Flow (Dynamics), Combustion, Design, Emissions, Gas turbines
Proceedings Papers

CAD Integrated Gradient-Based Aero Optimization of the NASA Rotor 37

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Thanh-Son Tran, Tom De Bruyn, Tom Verstraete
Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A008, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-80906
https://doi.org/10.1115/GT2022-80906
View Paper titled, CAD Integrated Gradient-Based Aero Optimization of the NASA Rotor 37
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Topics: Computer-aided design, NASA, Optimization, Rotors, Design, Blades, Compressors, Reynolds-averaged Navier–Stokes equations, Flow (Dynamics), Geometry
Proceedings Papers

Gradient-Free Optimization in Thermoacoustics: Application to A Low-Order Model

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Johann Moritz Reumschüssel, Jakob G. R. von Saldern, Yiqing Li, Christian Oliver Paschereit, Alessandro Orchini
Proc. ASME. GT2021, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A001, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-58341
https://doi.org/10.1115/GT2021-58341
View Paper titled, Gradient-Free Optimization in Thermoacoustics: Application to A Low-Order Model
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Topics: Optimization, Thermoacoustics, Fuels, Algorithms, Combustion chambers, Optimization algorithms, Design, Evolutionary algorithms, Fuel injectors, Gradient methods
Proceedings Papers

Multi-Point Optimization Design of High Pressure-Ratio Centrifugal Impeller Based on Machine Learning

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Hongliang Cheng, Weilin Yi, Luchen Ji
Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A009, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14576
https://doi.org/10.1115/GT2020-14576
View Paper titled, Multi-Point Optimization Design of High Pressure-Ratio Centrifugal Impeller Based on Machine Learning
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Topics: Design, Impellers, Machine learning, Optimization, Pressure, Artificial neural networks, Reliability, Turbomachinery, Computational fluid dynamics, Databases
Proceedings Papers

Optimization of an Air Turbo Starter Considering its Joint Work With an Auxiliary Power Unit

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Grigorii Popov, Vasilii Zubanov, Oleg Baturin, Daria Kolmakova, Yulia Novikova, Andrei Volkov
Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A050, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16034
https://doi.org/10.1115/GT2020-16034
View Paper titled, Optimization of an Air Turbo Starter Considering its Joint Work With an Auxiliary Power Unit
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Topics: Gas turbines, Optimization, Torque, Turbines, Turbochargers, Engines, Computational fluid dynamics, Design, Modeling, Algorithms
Proceedings Papers

Topological Optimization of Under-Platform Dampers With Moving Morphable Components and Global Optimization Algorithm for Nonlinear Frequency Response

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E. Denimal, F. El Haddad, C. Wong, L. Salles
Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A006, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14394
https://doi.org/10.1115/GT2020-14394
View Paper titled, Topological Optimization of Under-Platform Dampers With Moving Morphable Components and Global Optimization Algorithm for Nonlinear Frequency Response
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Topics: Dampers, Frequency response, Optimization, Optimization algorithms, Topology, Vibration, Aircraft engines, Friction, Geometry, High cycle fatigue
Proceedings Papers

Part 2: Design Optimisation Strategies for a Fuel Spray Nozzle

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Thomas Andreou, Craig White, Konstantinos Kontis, Shahrokh Shahpar, Nicholas Brown
Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A040, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15431
https://doi.org/10.1115/GT2020-15431
View Paper titled, Part 2: Design Optimisation Strategies for a Fuel Spray Nozzle
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Topics: Design, Fuels, Nozzles, Optimization, Sprays, Emissions, Aircraft, Aircraft engines, Aviation, Blades
Proceedings Papers

Optimization of Vaneless Volute and Mixed Flow Impeller for Pulsating Flow

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Zheng Liu, Colin Copeland, Stefan Tuechler
Proc. ASME. GT2020, Volume 2E: Turbomachinery, V02ET39A007, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14241
https://doi.org/10.1115/GT2020-14241
View Paper titled, Optimization of Vaneless Volute and Mixed Flow Impeller for Pulsating Flow
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Topics: Flow (Dynamics), Impellers, Optimization, Pulsatile flow, Turbines, Design, Rotors, Blades, Cycles, Engines
Proceedings Papers

Global Reaction Mechanism Optimization for CO Prediction With DARS and HEEDS

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Navin Mahto, Ayan Nath, Ramsatish Kaluri
Proc. ASME. GT2020, Volume 4A: Combustion, Fuels, and Emissions, V04AT04A057, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15030
https://doi.org/10.1115/GT2020-15030
View Paper titled, Global Reaction Mechanism Optimization for CO Prediction With DARS and HEEDS
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Topics: Optimization, Design, Carbon monoxide, Chemical kinetics, Combustion, Emissions, Flames, Gas turbines, Methane, Optimization algorithms
Proceedings Papers

An Artificial Intelligence Based Method for Performance Prediction and Inverse Design of Hydraulic Turbochargers

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Azam Thatte, Ganesh Vurimi, Prabhav Borate, Teymour Javaherchi
Proc. ASME. GT2020, Volume 8: Industrial and Cogeneration; Manufacturing Materials and Metallurgy; Marine; Microturbines, Turbochargers, and Small Turbomachines, V008T20A027, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16012
https://doi.org/10.1115/GT2020-16012
View Paper titled, An Artificial Intelligence Based Method for Performance Prediction and Inverse Design of Hydraulic Turbochargers
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Topics: Artificial intelligence, Design, Turbochargers, Turbines, Pumps, Algorithms, Turbomachinery, Artificial neural networks, Blades, Flow (Dynamics)