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Proceedings Papers

Adjoint Based Shape Optimization for Thermoacoustic Stability of Combustors Using Free Form Deformation

Ekrem Ekici, Matthew P. Juniper
Proc. ASME. GT2024, Volume 3A: Combustion, Fuels, and Emissions, V03AT04A058, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-125711
https://doi.org/10.1115/GT2024-125711
View Paper titled, Adjoint Based Shape Optimization for Thermoacoustic Stability of Combustors Using Free Form Deformation
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Topics: Combustion chambers, Deformation, Finite element methods, Shape optimization, Stability
Proceedings Papers

Twofold Adaptive Design Space Reduction for Constrained Bayesian Optimization of Transonic Compressor Blades

Lisa Pretsch, Ilya Arsenyev, Elena Raponi, Fabian Duddeck
Proc. ASME. GT2024, Volume 12D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V12DT34A005, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-121848
https://doi.org/10.1115/GT2024-121848
View Paper titled, Twofold Adaptive Design Space Reduction for Constrained Bayesian Optimization of Transonic Compressor Blades
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Topics: Blades, Compressors, Design, Optimization, Principal component analysis, Shape optimization
Proceedings Papers

Aerodynamic Shape Optimization of a Stator

Payam Dehpanah, C. J. Doolittle, Carsten Fuetterer, Mattia Brenner
Proc. ASME. GT2024, Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V12CT32A028, June 24–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: GT2024-125897
https://doi.org/10.1115/GT2024-125897
View Paper titled, Aerodynamic Shape Optimization of a Stator
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Topics: Shape optimization, Stators, Design, Geometry, Optimization, Flow (Dynamics), Pressure, Boundary-value problems, Compressible flow, Compressors
Proceedings Papers

Realtime CFD Based Shape Optimization Using Geometric Deep Learning for Families of Turbomachinery Applications

Alexandre Gouttiere, Giacomo Alessi, Dirk Wunsch, Luca Zampieri, Charles Hirsch
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A010, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-101938
https://doi.org/10.1115/GT2023-101938
View Paper titled, Realtime CFD Based Shape Optimization Using Geometric Deep Learning for Families of Turbomachinery Applications
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Topics: Computational fluid dynamics, Design, Machine learning, Optimization, Rotors, Shape optimization, Turbomachinery
Proceedings Papers

Shape Optimization of a Cooling Hole Using Improved Metamodeling Techniques and Workflow

Adam Norman, Carlo Arguinzoni, Kalyan Sharma, Pat Cunningham, Dibesh Joshi
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A003, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-100888
https://doi.org/10.1115/GT2023-100888
View Paper titled, Shape Optimization of a Cooling Hole Using Improved Metamodeling Techniques and Workflow
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Topics: Cooling, Metamodeling, Optimization, Shape optimization, Workflow, Design, Flow (Dynamics), Algorithms, Compression, Computational fluid dynamics
Proceedings Papers

Rapid Algorithmic Blade Design Applying Machine Learning From Shape Optimization to Satisfy Multidisciplinary Constraints

Kingshuk Dasadhikari, Yoshihiro Kuwamura
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A016, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-102700
https://doi.org/10.1115/GT2023-102700
View Paper titled, Rapid Algorithmic Blade Design Applying Machine Learning From Shape Optimization to Satisfy Multidisciplinary Constraints
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Topics: Blades, Design, Machine learning, Shape optimization
Proceedings Papers

Adapting Artificial Neural Networks Training Algorithms to Adjoint-Based Aerodynamic Shape Optimization

Fernando Gisbert, David Cadrecha, Jaime Quintanal, Adrián Sotillo, Jesús Pueblas, Aida Serrano, Ricardo Puente, Roque Corral
Proc. ASME. GT2023, Volume 13D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V13DT34A021, June 26–30, 2023
Publisher: American Society of Mechanical Engineers
Paper No: GT2023-103906
https://doi.org/10.1115/GT2023-103906
View Paper titled, Adapting Artificial Neural Networks Training Algorithms to Adjoint-Based Aerodynamic Shape Optimization
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Topics: Algorithms, Artificial neural networks, Shape optimization, Design, Pressure, Blades, Computation, Artificial intelligence, Columns (Structural), Construction
Proceedings Papers

Centrifugal Compressor Retrofit: Geometry Rebuild and 3-D Blade Shape Optimization

Norman Kienzle, Duc Huy Marco Hoang, Warren John Martis, Markus Moch, Christian Doetsch, Francesca di Mare
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT35A017, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-84204
https://doi.org/10.1115/GT2022-84204
View Paper titled, Centrifugal Compressor Retrofit: Geometry Rebuild and 3-D Blade Shape Optimization
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Topics: Blades, Compressors, Geometry, Retrofitting, Shape optimization, Design, Diffusers, Flow (Dynamics), Impellers, Optimization
Proceedings Papers

The Role of Endwall Shape Optimization in the Design of Supersonic Turbines for Rotating Detonation Engines

Noraiz Mushtaq, Giacomo Persico, Paolo Gaetani
Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT30A023, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82424
https://doi.org/10.1115/GT2022-82424
View Paper titled, The Role of Endwall Shape Optimization in the Design of Supersonic Turbines for Rotating Detonation Engines
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Topics: Design, Engines, Explosions, Shape optimization, Turbines
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
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

Shape Optimization of the Laidback Fan-Shaped Film Cooling Hole on Pressure Surface of Turbine Guide Vane

Yan Jiang, Zhi Tao, Haiwang Li, Zhiyu Zhou
Proc. ASME. GT2022, Volume 6A: Heat Transfer — Combustors; Film Cooling, V06AT12A025, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-82358
https://doi.org/10.1115/GT2022-82358
View Paper titled, Shape Optimization of the Laidback Fan-Shaped Film Cooling Hole on Pressure Surface of Turbine Guide Vane
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Topics: Film cooling, Guide vanes, Pressure, Shape optimization, Turbines
Proceedings Papers

Integrated Aerodynamic and Structural Blade Shape Optimisation of Axial Turbines Operating With Supercritical Carbon Dioxide Blended With Dopants

Abdelrahman S. Abdeldayem, Martin T. White, Andrea Paggini, Marco Ruggiero, Abdulnaser I. Sayma
Proc. ASME. GT2022, Volume 9: Supercritical CO2, V009T28A004, June 13–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: GT2022-81223
https://doi.org/10.1115/GT2022-81223
View Paper titled, Integrated Aerodynamic and Structural Blade Shape Optimisation of Axial Turbines Operating With Supercritical Carbon Dioxide Blended With Dopants
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Topics: Blades, Optimization, Shape optimization, Shapes, Supercritical carbon dioxide, Turbines
Proceedings Papers

Adjoint-Based Optimisation of Rocket Engine Turbine Blades

Bhupinder Singh Sanghera, Nitish Anand, Louis Souverein, Loïc Penin, Matteo Pini
Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A013, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59580
https://doi.org/10.1115/GT2021-59580
View Paper titled, Adjoint-Based Optimisation of Rocket Engine Turbine Blades
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Topics: Optimization, Rocket engines, Turbine blades, Stators, Turbines, Design, Cycles, Flow (Dynamics), Generators, Shape optimization
Proceedings Papers

Autonomous Large Eddy Simulations Setup for Cooling Hole Shape Optimization

Shubham Agarwal, Laurent Gicquel, Florent Duchaine, Nicolas Odier, Jérôme Dombard, Damien Bonneau, Michel Slusarz
Proc. ASME. GT2021, Volume 5A: Heat Transfer — Combustors; Film Cooling, V05AT12A010, June 7–11, 2021
Publisher: American Society of Mechanical Engineers
Paper No: GT2021-59196
https://doi.org/10.1115/GT2021-59196
View Paper titled, Autonomous Large Eddy Simulations Setup for Cooling Hole Shape Optimization
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Topics: Cooling, Film cooling, Large eddy simulation, Shape optimization
Proceedings Papers

Experimental LCF Study of a Probabilistically Optimized Double Notch Specimen Geometry for Validation of Deterministic and Probabilistic Design Concepts

Marcel Adam, Sebastian Schmitz, Suhas Suresh, Dirk Kulawinski, Alexander Erbe, Lucas Mäde, Sesha Gundavarapu, Christian Kontermann, Matthias Oechsner
Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A003, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14557
https://doi.org/10.1115/GT2020-14557
View Paper titled, Experimental LCF Study of a Probabilistically Optimized Double Notch Specimen Geometry for Validation of Deterministic and Probabilistic Design Concepts
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Topics: Alternating current potential drop techniques, Design, Geometry, Shape optimization, Size effect, Testing
Proceedings Papers

Aero-Thermal Optimization of Bladeless Turbines

James Braun, Guillermo Paniagua, Francois Falempin
Proc. ASME. GT2020, Volume 5: Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations: Energy Storage, V005T06A024, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-15551
https://doi.org/10.1115/GT2020-15551
View Paper titled, Aero-Thermal Optimization of Bladeless Turbines
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Topics: Optimization, Turbines, Pressure, Geometry, Heat, Heat flux, Turbulence, Blades, Flux (Metallurgy), Mesh generation
Proceedings Papers

Multi-Fidelity Surrogate-Based Optimization of Transonic and Supersonic Axial Turbine Profiles

Nassim Razaaly, Giacomo Persico, Pietro Marco Congedo
Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A026, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14972
https://doi.org/10.1115/GT2020-14972
View Paper titled, Multi-Fidelity Surrogate-Based Optimization of Transonic and Supersonic Axial Turbine Profiles
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Topics: Optimization, Turbines, Computational fluid dynamics, Fluids, B-splines, Cascades (Fluid dynamics), Design, Flow (Dynamics), Geometry, High pressure (Physics)
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
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

Adjoint-Based Aeroelastic Design Optimization Using a Harmonic Balance Method

Nitish Anand, Antonio Rubino, Piero Colonna, Matteo Pini
Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A054, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-16208
https://doi.org/10.1115/GT2020-16208
View Paper titled, Adjoint-Based Aeroelastic Design Optimization Using a Harmonic Balance Method
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Topics: Design, Optimization, Blades, Damping, Flow (Dynamics), Cascades (Fluid dynamics), Compressors, Computation, Fluids, Flutter (Aerodynamics)
Proceedings Papers

Gradient-Based Optimization of a Radial Turbine Volute and a Downstream Bend Using Vertex Morphing

Nicolas Lachenmaier, Daniel Baumgärtner, Heinz-Peter Schiffer, Johannes Kech
Proc. ASME. GT2020, Volume 2E: Turbomachinery, V02ET39A004, September 21–25, 2020
Publisher: American Society of Mechanical Engineers
Paper No: GT2020-14145
https://doi.org/10.1115/GT2020-14145
View Paper titled, Gradient-Based Optimization of a Radial Turbine Volute and a Downstream Bend Using Vertex Morphing
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Topics: Optimization, Turbines, Pressure, Compressors, Cycles, Design, Fuel consumption, Geometry, Internal combustion engines, Pressure drop