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Proceedings Papers

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

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
Paper No: GT2022-82218
DOI: https://doi.org/10.1115/GT2022-82218
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Topics: Pareto optimization, Turbines, Optimization, Design, Algorithms, Cascades (Fluid dynamics), Entropy, Evolutionary algorithms, Flow (Dynamics), Flow turning
Proceedings Papers

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

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
Paper No: GT2022-80906
DOI: https://doi.org/10.1115/GT2022-80906
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Topics: Computer-aided design, NASA, Optimization, Rotors, Design, Blades, Compressors, Reynolds-averaged Navier–Stokes equations, Flow (Dynamics), Geometry
Proceedings Papers

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

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
Paper No: GT2022-84035
DOI: https://doi.org/10.1115/GT2022-84035
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Topics: Design, Reynolds-averaged Navier–Stokes equations, Turbomachinery, Diffusers, Turbulence, Flow (Dynamics), Compressors, Computational fluid dynamics, Deformation, Impellers
Proceedings Papers

The New Chapter of Transonic Compressor Cascade Design at the DLR

Edwin J. Munoz Lopez, Alexander Hergt, Sebastian Grund
Proc. ASME. GT2022, Volume 1: Aircraft Engine; Ceramics and Ceramic Composites, V001T01A005, June 13–17, 2022
Paper No: GT2022-80189
DOI: https://doi.org/10.1115/GT2022-80189
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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

Majid Asli, Panagiotis Stathopoulos
Proc. ASME. GT2022, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A022, June 13–17, 2022
Paper No: GT2022-80673
DOI: https://doi.org/10.1115/GT2022-80673
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Topics: Combustion chambers, Explosions, Optimization, Turbines, Exhaust systems, Flow (Dynamics), Combustion, Design, Emissions, Gas turbines
Proceedings Papers

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

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
Paper No: GT2021-58341
DOI: https://doi.org/10.1115/GT2021-58341
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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

Hongliang Cheng, Weilin Yi, Luchen Ji
Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A009, September 21–25, 2020
Paper No: GT2020-14576
DOI: https://doi.org/10.1115/GT2020-14576
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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

Grigorii Popov, Vasilii Zubanov, Oleg Baturin, Daria Kolmakova, Yulia Novikova, Andrei Volkov
Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A050, September 21–25, 2020
Paper No: GT2020-16034
DOI: https://doi.org/10.1115/GT2020-16034
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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

E. Denimal, F. El Haddad, C. Wong, L. Salles
Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A006, September 21–25, 2020
Paper No: GT2020-14394
DOI: https://doi.org/10.1115/GT2020-14394
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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

Thomas Andreou, Craig White, Konstantinos Kontis, Shahrokh Shahpar, Nicholas Brown
Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A040, September 21–25, 2020
Paper No: GT2020-15431
DOI: https://doi.org/10.1115/GT2020-15431
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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

Zheng Liu, Colin Copeland, Stefan Tuechler
Proc. ASME. GT2020, Volume 2E: Turbomachinery, V02ET39A007, September 21–25, 2020
Paper No: GT2020-14241
DOI: https://doi.org/10.1115/GT2020-14241
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Topics: Flow (Dynamics), Impellers, Optimization, Pulsatile flow, Turbines, Design, Rotors, Blades, Cycles, Engines
Proceedings Papers

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

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
Paper No: GT2020-16012
DOI: https://doi.org/10.1115/GT2020-16012
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Topics: Artificial intelligence, Design, Turbochargers, Turbines, Pumps, Algorithms, Turbomachinery, Artificial neural networks, Blades, Flow (Dynamics)
Proceedings Papers

Full Flight Envelope Transient Main Control Loop Design Based on LMI Optimization

Keqiang Miao, Xi Wang, Meiyin Zhu
Proc. ASME. GT2020, Volume 1: Aircraft Engine; Fans and Blowers, V001T01A035, September 21–25, 2020
Paper No: GT2020-16048
DOI: https://doi.org/10.1115/GT2020-16048
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Topics: Design, Flight, Optimization, Transients (Dynamics), Engines, Turbofans, Design methodology, Stability, Engineering simulation, Linear matrix inequalities
Proceedings Papers

Global Reaction Mechanism Optimization for CO Prediction With DARS and HEEDS

Navin Mahto, Ayan Nath, Ramsatish Kaluri
Proc. ASME. GT2020, Volume 4A: Combustion, Fuels, and Emissions, V04AT04A057, September 21–25, 2020
Paper No: GT2020-15030
DOI: https://doi.org/10.1115/GT2020-15030
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Topics: Optimization, Design, Carbon monoxide, Chemical kinetics, Combustion, Emissions, Flames, Gas turbines, Methane, Optimization algorithms
Proceedings Papers

Correlating and Updating Finite Element Models of Different Fidelity Using an Energy-Based Approach

Alexander Hardenberg, Arnold Kühhorn, Maren Fanter
Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT26A006, September 21–25, 2020
Paper No: GT2020-14509
DOI: https://doi.org/10.1115/GT2020-14509
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Topics: Finite element model, Modeling, Errors, Aircraft engines, Kinetic energy, Shells, Turbines, Uncertainty, Computer simulation, Engineers
Proceedings Papers

Application of Artificial Neural Networks for Monitoring and Optimum Operation Prediction of Solar Hybrid MGT Systems

Homam Nikpey Somehsaraei, Davide Iaria, Jafar Al Zaili, Mohsen Assadi, Abdulnaser Sayma, Mohsen Ghavami
Proc. ASME. GT2019, Volume 3: Coal, Biomass, Hydrogen, and Alternative Fuels; Cycle Innovations; Electric Power; Industrial and Cogeneration; Organic Rankine Cycle Power Systems, V003T06A011, June 17–21, 2019
Paper No: GT2019-91180
DOI: https://doi.org/10.1115/GT2019-91180
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Topics: Artificial neural networks, Solar energy, Combined heat and power, Distributed power generation, Micro gas turbines, Electrical efficiency, Genetic algorithms, Irradiation (Radiation exposure), Modeling, Optimization algorithms
Proceedings Papers

Effect of Deterministic and Continuous Design Space Resolution on Multiple-Objective Combustor Optimization

Alejandro M. Briones, Markus P. Rumpfkeil, Nathan R. Thomas, Brent A. Rankin
Proc. ASME. GT2019, Volume 4B: Combustion, Fuels, and Emissions, V04BT04A025, June 17–21, 2019
Paper No: GT2019-91388
DOI: https://doi.org/10.1115/GT2019-91388
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Topics: Combustion chambers, Design, Optimization, Resolution (Optics), Cavities, Computational fluid dynamics, Simulation, Combustion, Temperature, Boundary-value problems
Proceedings Papers

The Influence of Non-Axisymmetric End Wall in a High-Load Compressor Stage With Tandem Stator

Xiangjun Li, Wuli Chu
Proc. ASME. GT2019, Volume 2A: Turbomachinery, V02AT39A006, June 17–21, 2019
Paper No: GT2019-90334
DOI: https://doi.org/10.1115/GT2019-90334
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Topics: Compressors, Stators, Stress, Blades, Rotors, Separation (Technology), Flow (Dynamics), Corners (Structural elements), Suction, Boundary layers
Proceedings Papers

Adjoint-Based Multidisciplinary, Multipoint Optimization of a Radial Turbine Considering Aerodynamic and Structural Performances

Lasse Mueller, Tom Verstraete, Marc Schwalbach
Proc. ASME. GT2019, Volume 2D: Turbomachinery, V02DT46A021, June 17–21, 2019
Paper No: GT2019-91823
DOI: https://doi.org/10.1115/GT2019-91823
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Topics: Optimization, Turbines, Design, Stress, Algorithms, Automotive industry, Cycles, Finite element analysis, Manufacturing, Optimization algorithms
Proceedings Papers

A Design for Fouling Oriented Optimization of an HPT Nozzle

R. Friso, N. Casari, A. Suman, M. Pinelli, Francesco Montomoli
Proc. ASME. GT2019, Volume 2D: Turbomachinery, V02DT47A014, June 17–21, 2019
Paper No: GT2019-91627
DOI: https://doi.org/10.1115/GT2019-91627
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Topics: Design, Nozzles, Optimization, Blades, Shapes, Airfoils, Artificial neural networks, Engines, Erosion, Fuels