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Proceedings Papers

Optimal Blade Design of Stator Based on Adjoint Fluid Topology Optimization Method in a Torque Converter

Tianlang Tao, Zhifang Ke, Wei Wei, Cheng Liu, Qingdong Yan

Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A019, June 13–17, 2022

Paper No: GT2022-83005

DOI: https://doi.org/10.1115/GT2022-83005

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Topics: Blades, Design, Fluids, Optimization, Stators, Topology, Torque converters

Proceedings Papers

Improved Design Space Exploration by Machine Learning Estimation for a Parametric Turbofan Model

Chad Foster, Jack Moore

Paper No: GT2022-81836

DOI: https://doi.org/10.1115/GT2022-81836

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Topics: Design, Machine learning, Turbofans, Simulation, Noise (Sound), Regression models

Proceedings Papers

Machine Learning-Based Multi-Disciplinary Optimization of Transonic Axial Compressor Blade Considering Aeroelasticity

Hyun-Su Kang, Youn-Jea Kim

Paper No: GT2022-80876

DOI: https://doi.org/10.1115/GT2022-80876

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Topics: Aeroelasticity, Blades, Compressors, Flutter (Aerodynamics), Machinery, Optimization

Proceedings Papers

Multi Operating Point Aerodynamic Optimization of a Radial Compressor Impeller for an Application in High Temperature Heat Pump

Robert Schaffrath, Maximilian Kriese, Bojan Kajasa, Martino Köhler, Eberhard Nicke, Christian Voß

Paper No: GT2022-82130

DOI: https://doi.org/10.1115/GT2022-82130

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Topics: Compressor impellers, Heat pumps, High temperature, Optimization, Compressors, Geometry, Pressure, Computational fluid dynamics, Design, Economics

Proceedings Papers

Application of Adjoint-Enhanced First Order Second Moment Method for Robust Design Optimization of a High Pressure Compressor Rotor

Max Dittmann, Robin Schmidt, Marcus Meyer

Paper No: GT2022-80806

DOI: https://doi.org/10.1115/GT2022-80806

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Topics: Compressors, Design, High pressure (Physics), Optimization, Rotors, Blades, Airfoils, Robustness, Uncertainty, Uncertainty quantification

Proceedings Papers

Rotor37 Aerodynamic Optimization: A Machine Learning Approach

Klajdi Beqiraj, Andrea Perrone, Marco Sanguineti, Luca Ratto, Gianluca Ricci

Paper No: GT2022-83063

DOI: https://doi.org/10.1115/GT2022-83063

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Topics: Machine learning, Optimization

Proceedings Papers

Turbine Endwall Contouring Through Advanced Optimization Techniques

Matteo Burigana, Tom Verstraete, Sergio Lavagnoli

Paper No: GT2022-82144

DOI: https://doi.org/10.1115/GT2022-82144

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Topics: Optimization, Turbines, Design, Engines, Blades, Flow (Dynamics), High pressure (Physics), Parametrization, Rotors, Boundary-value problems

Proceedings Papers

Multi-Objective Aerodynamic and Aeroelastic Coupled Design Optimization Using a Fully Turbulent Discrete Adjoint Harmonic Balance Method

Hangkong Wu, Dingxi Wang, Xiuquan Huang

Paper No: GT2022-80490

DOI: https://doi.org/10.1115/GT2022-80490

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Topics: Design, Optimization, Turbulence, Blades, Stability, Diluents, Turbomachinery, Flutter (Aerodynamics), NASA, Rotors

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

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

Evolution of Turbine Rear Frame Design for Aero Derivative Engine

Srinidhi Katti, Vishnu Vardhan Reddy, Anil Kumar Chippa, S. Babu, Federico Casadio

Paper No: GT2022-83322

DOI: https://doi.org/10.1115/GT2022-83322

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Topics: Design, Engines, Stress, Turbines

Proceedings Papers

Aerodynamic Optimization of the SRV2 Radial Compressor Using an Adjoint-Based Optimization Method

Arnaud Châtel, Tom Verstraete

Paper No: GT2022-82530

DOI: https://doi.org/10.1115/GT2022-82530

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Topics: Compressors, Optimization, Design, Algorithms, Compressor impellers, Degrees of freedom, Flow (Dynamics), Quadratic programming, Reynolds-averaged Navier–Stokes equations, Tradeoffs

Proceedings Papers

Digital Shadow and Robust Optimization of in Service Squealer Tip Turbine Blades

Irene Virdis, Tiziano Ghisu, Shahrokh Shahpar, Iñaki de la Puerta, Haidong Li

Paper No: GT2022-81779

DOI: https://doi.org/10.1115/GT2022-81779

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Topics: High pressure (Physics), Optimization, Shades and shadows, Turbine blades, Uncertainty quantification

Proceedings Papers

Design Optimization of Blade Tip in Subsonic and Transonic Turbine Stages - Part II: Flow Physics and Augmented Aerothermal Integral Objective Function

Penghao Duan, Li He

Paper No: GT2022-83467

DOI: https://doi.org/10.1115/GT2022-83467

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Topics: Blades, Design, Flow (Dynamics), Optimization, Physics, Turbines, Cavities, Heat transfer, Vortices, Platform supply vessels

Proceedings Papers

Impact of Epistemic Uncertainty on Performance Parameters of Compressor Blades

Andriy Prots, Lukas Schlüter, Matthias Voigt, Ronald Mailach, Marcus Meyer

Paper No: GT2022-82579

DOI: https://doi.org/10.1115/GT2022-82579

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Topics: Blades, Compressors, Uncertainty, Density, Optical measurement, Probability, Chords (Trusses), Design, Gaussian distribution, Manufacturing

Proceedings Papers

The Validation of a Parametric Leading Edge Model for Probabilistic CFD Analyses of Post-Service Compressor Airfoils

Lukas Schlüter, Paul Voigt, Matthias Voigt, Ronald Mailach, Robin Schmidt, Mirco Rostamian, Bernd Becker

Paper No: GT2022-78309

DOI: https://doi.org/10.1115/GT2022-78309

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Topics: Airfoils, Compressors, Computational fluid dynamics, Shapes, Rotors, Blades, Electromagnetic scattering, Flow simulation, High pressure (Physics), Jet engines

Proceedings Papers

Mean-Line Design and Optimization of Axial-Flow Turbines Based on Mixed Integer Nonlinear Programming

Vincenzo Dipierro, Matteo Martinelli, Giacomo Persico, Emanuele Martelli

Paper No: GT2022-82688

DOI: https://doi.org/10.1115/GT2022-82688

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Topics: Axial flow, Design, Nonlinear programming, Optimization, Turbines

Proceedings Papers

Automated Component Preliminary Design and Evaluation in the Overall Engine Using Fully Coupled Approaches

Jens Schmeink, Markus Schnoes

Paper No: GT2022-80634

DOI: https://doi.org/10.1115/GT2022-80634

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Topics: Design, Engines, Engineering disciplines, Simulation, Compressors, Errors, Flow (Dynamics), Gas turbines, High pressure (Physics), Military systems

Proceedings Papers

The Road to a Digital Twin for Fan-Blade Off and Thermally Enabled Structural Analyses of Aero Engines

Akin Keskin, Rob Fox

Paper No: GT2022-84296

DOI: https://doi.org/10.1115/GT2022-84296

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Topics: Aircraft engines, Blades, Digital twin, Roads, Structural analysis

Proceedings Papers

Adjoint Optimization of Centrifugal Compressor Rotor Accounting for Manufacturing Uncertainties

Mohamed H. Aissa, Alberto Racca, Lasse Mueller, Tom Verstraete, Carnell E. Williams

Paper No: GT2022-82848

DOI: https://doi.org/10.1115/GT2022-82848

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Topics: Accounting, Compressors, Manufacturing, Optimization, Rotors, Uncertainty, Uncertainty quantification

Proceedings Papers

Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor

Patrick Amstad, Kwok Kai So, Magnus Fischer

Paper No: GT2022-78306

DOI: https://doi.org/10.1115/GT2022-78306

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Topics: Compressors, Machine learning, Optimization, Turbochargers, Turbulence, Artificial neural networks, Diffusers, Errors, Flow (Dynamics), Pressure

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NARROW

Optimal Blade Design of Stator Based on Adjoint Fluid Topology Optimization Method in a Torque Converter

Improved Design Space Exploration by Machine Learning Estimation for a Parametric Turbofan Model

Machine Learning-Based Multi-Disciplinary Optimization of Transonic Axial Compressor Blade Considering Aeroelasticity

Multi Operating Point Aerodynamic Optimization of a Radial Compressor Impeller for an Application in High Temperature Heat Pump

Application of Adjoint-Enhanced First Order Second Moment Method for Robust Design Optimization of a High Pressure Compressor Rotor

Rotor37 Aerodynamic Optimization: A Machine Learning Approach

Turbine Endwall Contouring Through Advanced Optimization Techniques

Multi-Objective Aerodynamic and Aeroelastic Coupled Design Optimization Using a Fully Turbulent Discrete Adjoint Harmonic Balance Method

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

Evolution of Turbine Rear Frame Design for Aero Derivative Engine

Aerodynamic Optimization of the SRV2 Radial Compressor Using an Adjoint-Based Optimization Method

Digital Shadow and Robust Optimization of in Service Squealer Tip Turbine Blades

Design Optimization of Blade Tip in Subsonic and Transonic Turbine Stages - Part II: Flow Physics and Augmented Aerothermal Integral Objective Function

Impact of Epistemic Uncertainty on Performance Parameters of Compressor Blades

The Validation of a Parametric Leading Edge Model for Probabilistic CFD Analyses of Post-Service Compressor Airfoils

Mean-Line Design and Optimization of Axial-Flow Turbines Based on Mixed Integer Nonlinear Programming

Automated Component Preliminary Design and Evaluation in the Overall Engine Using Fully Coupled Approaches

The Road to a Digital Twin for Fan-Blade Off and Thermally Enabled Structural Analyses of Aero Engines

Adjoint Optimization of Centrifugal Compressor Rotor Accounting for Manufacturing Uncertainties

Machine-Learning Assisted Optimization of Generalized K-Omega (GEKO) Turbulence Model Parameters for Turbocharger Radial Compressor

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