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Proceedings Papers

Multidisciplinary Design of a Low-Noise Propeller: Part I — Multi-Fidelity Design Methodology Leveraging on Acoustic Drivers

Chloé Dumont, Lieven Baert, Ingrid Lepot

Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A022, September 21–25, 2020

Paper No: GT2020-15846

DOI: https://doi.org/10.1115/GT2020-15846

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Topics: Acoustics, Design, Design methodology, Noise (Sound), Propellers, Optimization, Turbomachinery, Blades, Computation, Computational fluid dynamics

Proceedings Papers

Multidisciplinary Design of a Low-Noise Propeller: Part II — Efficient Aero-Acoustic-Mechanical Design Methodology Exploiting Surrogate Models in an Adaptive Design Space

Lieven Baert, Chloé Dumont, Charlotte Beauthier, Caroline Sainvitu, Ingrid Lepot, Julien Blanchard

Proc. ASME. GT2020, Volume 2D: Turbomachinery, V02DT38A023, September 21–25, 2020

Paper No: GT2020-15847

DOI: https://doi.org/10.1115/GT2020-15847

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Topics: Acoustics, Design, Design methodology, Noise (Sound), Propellers, Aircraft, Aviation, Computation, Data mining, Flight

Journal Articles

Aerodynamic Optimization of the Low-Pressure Turbine Module: Exploiting Surrogate Models in a High-Dimensional Design Space

Lieven Baert, Emmanuel Chérière, Caroline Sainvitu, Ingrid Lepot, Arnaud Nouvellon, Vincent Leonardon

J. Turbomach. March 2020, 142(3): 031005.

Paper No: TURBO-19-1268

DOI: https://doi.org/10.1115/1.4046232

Published Online: February 21, 2020

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Topics: Design, Flow (Dynamics), Optimization, Pressure, Turbines, Blades

Proceedings Papers

Aerodynamic Optimisation of the Low Pressure Turbine Module: Exploiting Surrogate Models in a High-Dimensional Design Space

Lieven Baert, Ingrid Lepot, Caroline Sainvitu, Emmanuel Chérière, Arnaud Nouvellon, Vincent Leonardon

Proc. ASME. GT2019, Volume 2D: Turbomachinery, V02DT46A018, June 17–21, 2019

Paper No: GT2019-91570

DOI: https://doi.org/10.1115/GT2019-91570

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Topics: Design, Optimization, Pressure, Turbines, Cycles, Data mining, Engines, Engineering simulation, Feedback, Flow (Dynamics)

Proceedings Papers

Agile SBO Framework Exploiting Multisimulation Data: Optimising Efficiency and Stall Margin of a Transonic Compressor

Lieven Baert, Christophe Dumeunier, Michaël Leborgne, Caroline Sainvitu, Ingrid Lepot

Proc. ASME. GT2018, Volume 2D: Turbomachinery, V02DT46A019, June 11–15, 2018

Paper No: GT2018-76639

DOI: https://doi.org/10.1115/GT2018-76639

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Topics: Compressors, Computation, Cycles, Design, Engineering disciplines, Failure, Interpolation, NASA, Numerical stability, Optimization

Proceedings Papers

Tackling Highly Constrained Design Problems: Efficient Optimisation of a Highly Loaded Transonic Compressor

Lieven Baert, Paul Beaucaire, Michaël Leborgne, Caroline Sainvitu, Ingrid Lepot

Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A017, June 26–30, 2017

Paper No: GT2017-64610

DOI: https://doi.org/10.1115/GT2017-64610

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Topics: Compressors, Design, Optimization, Cycles, Turbomachinery, Blades, Computation, Computer simulation, Flow (Dynamics), Interpolation

Proceedings Papers

LPC Blade and Non-Axisymmetric Hub Profiling Optimization Using Multi-Fidelity Non-Intrusive POD Surrogates

Tariq Benamara, Piotr Breitkopf, Ingrid Lepot, Caroline Sainvitu

Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A026, June 26–30, 2017

Paper No: GT2017-65106

DOI: https://doi.org/10.1115/GT2017-65106

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Topics: Blades, Optimization, Simulation, Design, Compressors, Stability, Engineers, Engines, Evolutionary algorithms, Physics

Proceedings Papers

Open Rotor Design Strategy: From Wind Tunnel Tests to Full Scale Multi-Disciplinary Design

Jonathan Vlastuin, Clément Dejeu, Anthony Louet, Jérôme Talbotec, Ingrid Lepot, Timothée Lonfils, Michaël Leborgne

Proc. ASME. GT2015, Volume 2C: Turbomachinery, V02CT45A016, June 15–19, 2015

Paper No: GT2015-43300

DOI: https://doi.org/10.1115/GT2015-43300

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Topics: Design, Rotors, Wind tunnels, Acoustics, Computational fluid dynamics, Design methodology, Aerodynamics, Optimization, Propellers, Weight (Mass)

Proceedings Papers

Development and Application of a Multi-Disciplinary Multi-Regime Design Methodology of a Low-Noise Contra-Rotating Open-Rotor

Michaël Leborgne, Timothée Lonfils, Ingrid Lepot

Proc. ASME. GT2015, Volume 2C: Turbomachinery, V02CT45A019, June 15–19, 2015

Paper No: GT2015-43432

DOI: https://doi.org/10.1115/GT2015-43432

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Topics: Design methodology, Noise (Sound), Rotors, Acoustics, Optimization, Design, Geometry, Noise control, Chain, Evolutionary algorithms

Proceedings Papers

Surrogate-Based Optimisation for a Mixed-Variable Design Space: Proof of Concept and Opportunities for Turbomachinery Applications

Lieven Baert, Charlotte Beauthier, Michaël Leborgne, Ingrid Lepot

Proc. ASME. GT2015, Volume 2C: Turbomachinery, V02CT45A015, June 15–19, 2015

Paper No: GT2015-43254

DOI: https://doi.org/10.1115/GT2015-43254

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Topics: Design, Optimization, Turbomachinery, Computation, Computer simulation, Conceptual design, Ducts, Engineering design processes

Proceedings Papers

Internal Cooling Channels Design Investigations: Aerothermal Optimisation of Ribbed U-Bends

Philippe T. Lott, Ingrid Lepot, Emmanuel Chérière, François Thirifay, Klaus Semmler, Laura Bénet

Proc. ASME. GT2013, Volume 3A: Heat Transfer, V03AT12A046, June 3–7, 2013

Paper No: GT2013-95545

DOI: https://doi.org/10.1115/GT2013-95545

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Topics: Cooling, Design, Optimization, Cooling systems, Flow (Dynamics), Turbines, Engines, Temperature, Blades, Chain

Proceedings Papers

Design Optimization of a HP Compressor Rotor Blade and Its Hub Endwall

Vicky Iliopoulou, Ingrid Lepot, Philippe Geuzaine

Proc. ASME. GT2008, Volume 6: Turbomachinery, Parts A, B, and C, 2197-2208, June 9–13, 2008

Paper No: GT2008-50293

DOI: https://doi.org/10.1115/GT2008-50293

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Topics: Blades, Compressors, Design, Optimization, Rotors, Chain, Flow (Dynamics), Shape optimization, Shock (Mechanics)

Journal citation

NARROW

Multidisciplinary Design of a Low-Noise Propeller: Part I — Multi-Fidelity Design Methodology Leveraging on Acoustic Drivers

Multidisciplinary Design of a Low-Noise Propeller: Part II — Efficient Aero-Acoustic-Mechanical Design Methodology Exploiting Surrogate Models in an Adaptive Design Space

Aerodynamic Optimization of the Low-Pressure Turbine Module: Exploiting Surrogate Models in a High-Dimensional Design Space

Aerodynamic Optimisation of the Low Pressure Turbine Module: Exploiting Surrogate Models in a High-Dimensional Design Space

Agile SBO Framework Exploiting Multisimulation Data: Optimising Efficiency and Stall Margin of a Transonic Compressor

Tackling Highly Constrained Design Problems: Efficient Optimisation of a Highly Loaded Transonic Compressor

LPC Blade and Non-Axisymmetric Hub Profiling Optimization Using Multi-Fidelity Non-Intrusive POD Surrogates

Open Rotor Design Strategy: From Wind Tunnel Tests to Full Scale Multi-Disciplinary Design

Development and Application of a Multi-Disciplinary Multi-Regime Design Methodology of a Low-Noise Contra-Rotating Open-Rotor

Surrogate-Based Optimisation for a Mixed-Variable Design Space: Proof of Concept and Opportunities for Turbomachinery Applications

Internal Cooling Channels Design Investigations: Aerothermal Optimisation of Ribbed U-Bends

Design Optimization of a HP Compressor Rotor Blade and Its Hub Endwall

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