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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

Proc. ASME. GT2022, Volume 10D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Turbomachinery General Interest; Unsteady Flows in Turbomachinery, V10DT34A009, June 13–17, 2022

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

Extending Highly Loaded Axial Fan Operability Range Through Novel Blade Design

Diego I. Lopez, Tiziano Ghisu, Timoleon Kipouros, Shahrokh Shahpar, Mark Wilson

Proc. ASME. GT2022, Volume 10A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, V10AT29A016, June 13–17, 2022

Paper No: GT2022-81748

DOI: https://doi.org/10.1115/GT2022-81748

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Topics: Blades, Design, Momentum, Clearances (Engineering), Stability, Computer simulation, Compressors, Computation, Engineering simulation, Leakage flows

Proceedings Papers

High-Fidelity CFD Analysis of In-Serviced Shrouded High-Pressure Turbine Rotor Blades

Mario Carta, Tiziano Ghisu, Shahrokh Shahpar

Proc. ASME. GT2022, Volume 10B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing; Radial Turbomachinery Aerodynamics, V10BT30A019, June 13–17, 2022

Paper No: GT2022-82171

DOI: https://doi.org/10.1115/GT2022-82171

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Topics: Blades, Computational fluid dynamics, Damage, High pressure (Physics), Reverse engineering, Rotors, Turbines

Journal Articles

Extending Highly Loaded Axial Fan Operability Range Through Novel Blade Design

Diego I. Lopez, Tiziano Ghisu, Timoleon Kipouros, Shahrokh Shahpar, Mark Wilson

J. Turbomach. December 2022, 144(12): 121009.

Paper No: TURBO-22-1121

DOI: https://doi.org/10.1115/1.4055350

Published Online: September 19, 2022

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Topics: Blades, Design, Computational fluid dynamics, Flow (Dynamics), Stability, Pressure, Momentum, Leakage flows, Leakage

Journal Articles

High-Fidelity Computational Fluid Dynamics Analysis of In-Serviced Shrouded High-Pressure Turbine Rotor Blades

Mario Carta, Tiziano Ghisu, Shahrokh Shahpar

J. Turbomach. December 2022, 144(12): 121001.

Paper No: TURBO-22-1122

DOI: https://doi.org/10.1115/1.4055267

Published Online: September 13, 2022

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Topics: Blades, Computational fluid dynamics, Damage, Rotors, Shapes, Turbines, Reverse engineering, High pressure (Physics), Flow (Dynamics), Airfoils

Journal Articles

Exploring Topology Optimization for High Pressure Turbine Blade Tips

Luka Vincekovic, Alistair John, Ning Qin, Shahrokh Shahpar

J. Turbomach. July 2022, 144(7): 071013.

Paper No: TURBO-21-1167

DOI: https://doi.org/10.1115/1.4053917

Published Online: March 16, 2022

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Topics: Blades, Design, Optimization, Topology, High pressure (Physics), Turbines, Pressure, Flow (Dynamics), Parametrization

Journal Articles

Automatic Design Optimization of a Transonic Compressor Rotor for Improving Aeroacoustic and Aerodynamic Performance

Long Wu, Jae-Wook Kim, Alexander George Wilson, Shahrokh Shahpar

J. Turbomach. August 2022, 144(8): 081016.

Paper No: TURBO-21-1084

DOI: https://doi.org/10.1115/1.4053916

Published Online: March 16, 2022

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Topics: Blades, Design, Flow (Dynamics), Noise (Sound), Optimization, Rotors, Pressure, Shock (Mechanics), Simulation

Journal Articles

Elasto-Hydrodynamic Model of Hybrid Journal Bearings for Aero-Engine Gear Fuel Pump Applications

Jacopo Tacconi, Shahrokh Shahpar, Andrew King, Johannes-Paulus Olufeagba, Raymarn Khan, Ian Sant, Martin Yates

J. Tribol. March 2022, 144(3): 031604.

Paper No: TRIB-21-1304

DOI: https://doi.org/10.1115/1.4052479

Published Online: November 9, 2021

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Topics: Bearings, Equilibrium (Physics), Pressure, Stress, Journal bearings, Film thickness, Engines, Algorithms, Fuel pumps

Journal Articles

Global Optimization of a Transonic Fan Blade Through AI-Enabled Active Subspaces

Diego I. Lopez, Tiziano Ghisu, Shahrokh Shahpar

J. Turbomach. January 2022, 144(1): 011013.

Paper No: TURBO-21-1141

DOI: https://doi.org/10.1115/1.4052136

Published Online: September 21, 2021

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Topics: Blades, Design, Optimization, Computational fluid dynamics, Artificial neural networks

Proceedings Papers

Structurally Constrained Aerodynamic Adjoint Optimisation of Highly Loaded Compressor Blades

Cleopatra Cuciumita, Alistair John, Ning Qin, Shahrokh Shahpar

Proc. ASME. GT2021, Volume 2D: Turbomachinery — Multidisciplinary Design Approaches, Optimization, and Uncertainty Quantification; Radial Turbomachinery Aerodynamics; Unsteady Flows in Turbomachinery, V02DT36A016, June 7–11, 2021

Paper No: GT2021-59717

DOI: https://doi.org/10.1115/GT2021-59717

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Topics: Blades, Compressors, Deformation, Optimization, Stress

Proceedings Papers

Using Autoencoders and Output Consolidation to Improve Machine Learning Models for Turbomachinery Applications

Julie Pongetti, Timoleon Kipouros, Marc Emmanuelli, Richard Ahlfeld, Shahrokh Shahpar

Paper No: GT2021-60158

DOI: https://doi.org/10.1115/GT2021-60158

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Topics: Machine learning, Turbomachinery, Optimization, Blades, Compressors, Design, Engineering simulation, Flow (Dynamics), Fluid dynamics, Simulation

Proceedings Papers

Global Optimisation of a Transonic Fan Blade Through AI-Enabled Active Subspaces

Diego I. Lopez, Tiziano Ghisu, Shahrokh Shahpar

Proc. ASME. GT2021, Volume 2A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, V02AT31A026, June 7–11, 2021

Paper No: GT2021-59166

DOI: https://doi.org/10.1115/GT2021-59166

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Topics: Artificial neural networks, Blades, Computational fluid dynamics, Design, Optimization

Proceedings Papers

Structural Integrity of Serrated Leading Edge Guide Vane Blades for Noise Reduction

Cleopatra Cuciumita, Ning Qin, Felix Stanley, Shahrokh Shahpar

Proc. ASME. GT2021, Volume 9B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration, V09BT29A007, June 7–11, 2021

Paper No: GT2021-58747

DOI: https://doi.org/10.1115/GT2021-58747

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Topics: Blades, Guide vanes, Noise control

Journal Articles

Application of an Immersed Boundary Method on an Instrumented Turbine Blade With Large Eddy Simulation

Bryn N. Ubald, Rob Watson, Jiahuan Cui, Paul Tucker, Shahrokh Shahpar

J. Turbomach. November 2021, 143(11): 111005.

Paper No: TURBO-20-1276

DOI: https://doi.org/10.1115/1.4051110

Published Online: June 15, 2021

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Topics: Blades, Large eddy simulation, Pressure, Probes, Turbine blades, Turbulence, Flow (Dynamics), Anisotropy

Proceedings Papers

Building Digital Twins to Simulate Manufacturing Variation

Shahrokh Shahpar

Proc. ASME. GT2020, Volume 2A: Turbomachinery, V02AT32A049, September 21–25, 2020

Paper No: GT2020-15263

DOI: https://doi.org/10.1115/GT2020-15263

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Topics: Design, Manufacturing, Geometry, Simulation, Aircraft, Artificial intelligence, Cloud computing, Computerized tomography, Coordinate measuring machines, Engineering design

Proceedings Papers

Exploring Topology Optimisation of High Pressure Turbine Blade Tips

Luka Vincekovic, Alistair John, Ning Qin, Shahrokh Shahpar

Proc. ASME. GT2020, Volume 2B: Turbomachinery, V02BT33A032, September 21–25, 2020

Paper No: GT2020-16059

DOI: https://doi.org/10.1115/GT2020-16059

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Topics: High pressure (Physics), Optimization, Topology, Turbine blades, Blades, Design, Geometry, Rotors, Shapes, Turbines

Proceedings Papers

The Influence of Parameterisation Setup on the Constrained Adjoint Optimisation of Transonic Fan Blades

Alistair John, Ning Qin, Shahrokh Shahpar

Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A020, September 21–25, 2020

Paper No: GT2020-15352

DOI: https://doi.org/10.1115/GT2020-15352

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Topics: Blades, Optimization, Compressors, Deformation, Design

Proceedings Papers

Part 1: A Swirl Vane Generation Code for Fuel Spray Nozzles

Thomas Andreou, Craig White, Konstantinos Kontis, Shahrokh Shahpar, Nicholas Brown

Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A039, September 21–25, 2020

Paper No: GT2020-15414

DOI: https://doi.org/10.1115/GT2020-15414

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Topics: Fuels, Nozzles, Sprays, Blades, Combustion, Computer software, Curve fitting, Design, Flow (Dynamics), NACA airfoils

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

Design Space Exploration of Stagnation Temperature Probes via Dimension Reduction

Ashley D. Scillitoe, Bryn Ubald, Pranay Seshadri, Shahrokh Shahpar

Proc. ASME. GT2020, Volume 2C: Turbomachinery, V02CT35A057, September 21–25, 2020

Paper No: GT2020-16277

DOI: https://doi.org/10.1115/GT2020-16277

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Topics: Design, Dimensions, Probes, Temperature, Manufacturing, Mach number, Uncertainty, Boundary-value problems, Engines, Entropy

Journal citation

NARROW

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

Extending Highly Loaded Axial Fan Operability Range Through Novel Blade Design

High-Fidelity CFD Analysis of In-Serviced Shrouded High-Pressure Turbine Rotor Blades

Extending Highly Loaded Axial Fan Operability Range Through Novel Blade Design

High-Fidelity Computational Fluid Dynamics Analysis of In-Serviced Shrouded High-Pressure Turbine Rotor Blades

Exploring Topology Optimization for High Pressure Turbine Blade Tips

Automatic Design Optimization of a Transonic Compressor Rotor for Improving Aeroacoustic and Aerodynamic Performance

Elasto-Hydrodynamic Model of Hybrid Journal Bearings for Aero-Engine Gear Fuel Pump Applications

Global Optimization of a Transonic Fan Blade Through AI-Enabled Active Subspaces

Structurally Constrained Aerodynamic Adjoint Optimisation of Highly Loaded Compressor Blades

Using Autoencoders and Output Consolidation to Improve Machine Learning Models for Turbomachinery Applications

Global Optimisation of a Transonic Fan Blade Through AI-Enabled Active Subspaces

Structural Integrity of Serrated Leading Edge Guide Vane Blades for Noise Reduction

Application of an Immersed Boundary Method on an Instrumented Turbine Blade With Large Eddy Simulation

Building Digital Twins to Simulate Manufacturing Variation

Exploring Topology Optimisation of High Pressure Turbine Blade Tips

The Influence of Parameterisation Setup on the Constrained Adjoint Optimisation of Transonic Fan Blades

Part 1: A Swirl Vane Generation Code for Fuel Spray Nozzles

Part 2: Design Optimisation Strategies for a Fuel Spray Nozzle

Design Space Exploration of Stagnation Temperature Probes via Dimension Reduction

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