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Proc. ASME. GT2021, Volume 2C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions, V02CT34A027, June 7–11, 2021

Paper No: GT2021-59520

DOI: https://doi.org/10.1115/GT2021-59520

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Topics: Design, Machine learning, Turbines, Design methodology, Computational fluid dynamics, Engines, Sensitivity analysis, Turbomachinery, Aircraft engines, Approximation

Proceedings Papers

Machine Learning for the Development of Data Driven Turbulence Closures in Coolant Systems

James Hammond, Francesco Montomoli, Marco Pietropaoli, Richard D. Sandberg, Vittorio Michelassi

Proc. ASME. GT2020, Volume 7A: Heat Transfer, V07AT15A026, September 21–25, 2020

Paper No: GT2020-15928

DOI: https://doi.org/10.1115/GT2020-15928

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Topics: Coolants, Machine learning, Turbulence, Design, Cooling, Geometry, Heat transfer, Reynolds-averaged Navier–Stokes equations, Additive manufacturing, Computer programming

Proceedings Papers

Uncertainty Quantification and Missing Data for Turbomachinery With Probabilistic Equivalence and Arbitrary Polynomial Chaos, Applied to Scroll Compressors

Nick Pepper, Francesco Montomoli, Francesco Giacomel, Giovanna Cavazzini, Michele Pinelli, Nicola Casari, Sanjiv Sharma

Proc. ASME. GT2020, Volume 10B: Structures and Dynamics, V10BT28A007, September 21–25, 2020

Paper No: GT2020-16139

DOI: https://doi.org/10.1115/GT2020-16139

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Topics: Chaos, Compressors, Polynomials, Turbomachinery, Uncertainty quantification, Statistical distributions, Additive manufacturing, Blocks (Building materials), Carbon fibers, Computer simulation

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

Proceedings Papers

Transient Loading on Turbomachinery Packages due to Pressure Waves Caused by Accidental Deflagration Events

Hannes L. Gauch, Valentina Bisio, Stefano Rossin, Francesco Montomoli, Vito L. Tagarielli

Proc. ASME. GT2019, Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, V009T27A021, June 17–21, 2019

Paper No: GT2019-90942

DOI: https://doi.org/10.1115/GT2019-90942

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Topics: Explosions, Pressure, Transients (Dynamics), Turbomachinery, Waves, Shock waves, Design, Industrial design, Modeling, Stress

Proceedings Papers

On the Effect of Inflow Disturbances on the Flow Past a Linear LPT Vane Using Spectral/hp Element Methods

Andrea Cassinelli, Hui Xu, Francesco Montomoli, Paolo Adami, Raul Vazquez Diaz, Spencer J. Sherwin

Proc. ASME. GT2019, Volume 2C: Turbomachinery, V02CT41A032, June 17–21, 2019

Paper No: GT2019-91622

DOI: https://doi.org/10.1115/GT2019-91622

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Topics: Flow (Dynamics), Inflow, Cascades (Fluid dynamics), Blades, Computer software, Momentum, Turbulence, Boundary layers, Computational fluid dynamics, Design

Proceedings Papers

A Non-Dimensional Approach for Generalizing the Particle Impact Behavior of Gas Turbine Fouling

Alessio Suman, Nicola Casari, Elettra Fabbri, Michele Pinelli, Luca di Mare, Francesco Montomoli

Proc. ASME. GT2019, Volume 2D: Turbomachinery, V02DT47A016, June 17–21, 2019

Paper No: GT2019-91733

DOI: https://doi.org/10.1115/GT2019-91733

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Topics: Gas turbines, Particle collisions, Particulate matter, Adhesion, Blades, Dimensional analysis, Erosion, Glues, Inertia (Mechanics), Temperature

Journal Articles

Gas Turbine Fouling Tests: Review, Critical Analysis, and Particle Impact Behavior Map

Alessio Suman, Nicola Casari, Elettra Fabbri, Michele Pinelli, Luca di Mare, Francesco Montomoli

J. Eng. Gas Turbines Power. March 2019, 141(3): 032601.

Paper No: GTP-18-1525

DOI: https://doi.org/10.1115/1.4041282

Published Online: November 29, 2018

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Topics: Particulate matter, Temperature, Viscosity

Proceedings Papers

High Fidelity Spectral/hp Element Methods for Turbomachinery

Andrea Cassinelli, Francesco Montomoli, Paolo Adami, Spencer J. Sherwin

Proc. ASME. GT2018, Volume 2C: Turbomachinery, V02CT42A020, June 11–15, 2018

Paper No: GT2018-75733

DOI: https://doi.org/10.1115/GT2018-75733

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Topics: Turbomachinery, Flow (Dynamics), Cascades (Fluid dynamics), Computer software, Design, Engineering simulation, Physics, Polynomials, Reynolds number, Simulation

Proceedings Papers

On Deposit Sintering and Detachment From Gas Turbines

Nicola Casari, Michele Pinelli, Alessio Suman, Luca di Mare, Francesco Montomoli

Proc. ASME. GT2018, Volume 2D: Turbomachinery, V02DT47A011, June 11–15, 2018

Paper No: GT2018-76774

DOI: https://doi.org/10.1115/GT2018-76774

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Topics: Gas turbines, Sintering, Particulate matter, Stability, Airfoils, Blades, Centrifugal force, Drag (Fluid dynamics), Engines, Failure

Proceedings Papers

Uncertainty Quantification Analysis of Back Facing Steps Film Cooling Configurations

Eiji Sakai, Meng Bai, Richard Ahlfeld, Francesco Montomoli

Proc. ASME. GT2018, Volume 5A: Heat Transfer, V05AT12A009, June 11–15, 2018

Paper No: GT2018-75686

DOI: https://doi.org/10.1115/GT2018-75686

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Topics: Film cooling, Uncertainty quantification, Engineering simulation, Simulation, Uncertainty, Approximation, Chaos, Coolants, Cooling, Eddies (Fluid dynamics)

Proceedings Papers

Gas Turbine Fouling Tests: Review, Critical Analysis and Particle Impact Behavior Map

Alessio Suman, Nicola Casari, Elettra Fabbri, Michele Pinelli, Luca di Mare, Francesco Montomoli

Proc. ASME. GT2018, Volume 2D: Turbomachinery, V02DT47A015, June 11–15, 2018

Paper No: GT2018-76934

DOI: https://doi.org/10.1115/GT2018-76934

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Topics: Gas turbines, Particle collisions, Particulate matter, Temperature, Nozzles, Surface roughness, Testing, Wind tunnels, Aircraft engines, Boundary layers

Journal Articles

On the Role of Fluid–Structure Interaction on Structural Loading by Pressure Waves in Air

Hannes L. Gauch, Francesco Montomoli, Vito L. Tagarielli

J. Appl. Mech. November 2018, 85(11): 111007.

Paper No: JAM-18-1105

DOI: https://doi.org/10.1115/1.4040948

Published Online: August 6, 2018

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Topics: Fluid structure interaction, Pressure, Waves, Deflection, Plates (structures), Shock waves

Journal Articles

EBFOG: Deposition, Erosion, and Detachment on High-Pressure Turbine Vanes

Nicola Casari, Michele Pinelli, Alessio Suman, Luca di Mare, Francesco Montomoli

J. Turbomach. May 2018, 140(6): 061001.

Paper No: TURBO-17-1112

DOI: https://doi.org/10.1115/1.4039181

Published Online: April 18, 2018

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Topics: Erosion, Flow (Dynamics), High pressure (Physics), Particulate matter, Turbines, Geometry, Shapes, Displacement

Journal Articles

Autonomous Uncertainty Quantification for Discontinuous Models Using Multivariate Padé Approximations

Richard Ahlfeld, Francesco Montomoli, Mauro Carnevale, Simone Salvadori

J. Turbomach. April 2018, 140(4): 041004.

Paper No: TURBO-17-1062

DOI: https://doi.org/10.1115/1.4038826

Published Online: January 23, 2018

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Topics: Approximation, Computational fluid dynamics, Errors, Shock (Mechanics), Uncertainty quantification, Film cooling, Polynomials

Journal Articles

Uncertainty Quantification of Leakages in a Multistage Simulation and Comparison With Experiments

Cosimo Maria Mazzoni, Richard Ahlfeld, Budimir Rosic, Francesco Montomoli

J. Fluids Eng. February 2018, 140(2): 021110.

Paper No: FE-16-1554

DOI: https://doi.org/10.1115/1.4037983

Published Online: November 3, 2017

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Topics: Blades, Clearances (Engineering), Flow (Dynamics), Leakage, Pressure, Rotors, Simulation, Stators, Turbines, Uncertainty quantification

Journal Articles

A Single Formulation for Uncertainty Propagation in Turbomachinery: SAMBA PC

Richard Ahlfeld, Francesco Montomoli

J. Turbomach. November 2017, 139(11): 111007.

Paper No: TURBO-16-1184

DOI: https://doi.org/10.1115/1.4037362

Published Online: August 23, 2017

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Topics: Algorithms, Approximation, Computational fluid dynamics, Diffusers, Errors, Fittings, Gas turbines, Manufacturing, Polynomials, Simulation

Proceedings Papers

An Autonomous Uncertainty Quantification Method for the Digital Age: Transonic Flow Simulations Using Multivariate Padé Approximations

Richard Ahlfeld, Mauro Carnevale, Simone Salvadori, Francesco Montomoli

Proc. ASME. GT2017, Volume 2C: Turbomachinery, V02CT47A023, June 26–30, 2017

Paper No: GT2017-64968

DOI: https://doi.org/10.1115/GT2017-64968

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Topics: Approximation, Engineering simulation, Simulation, Transonic flow, Uncertainty quantification, Computational fluid dynamics, Errors, Reliability, Algorithms, Chaos

Journal citation

NARROW

A Non-Parametric Histogram Interpolation Method for Design Space Exploration

Machine Learning for the Development of Data-Driven Turbulence Closures in Coolant Systems

Towards a Machine Learning Based Design for Fouling of an Axial Turbine Vane

Machine Learning for the Development of Data Driven Turbulence Closures in Coolant Systems

Uncertainty Quantification and Missing Data for Turbomachinery With Probabilistic Equivalence and Arbitrary Polynomial Chaos, Applied to Scroll Compressors

A Design for Fouling Oriented Optimization of an HPT Nozzle

Transient Loading on Turbomachinery Packages due to Pressure Waves Caused by Accidental Deflagration Events

On the Effect of Inflow Disturbances on the Flow Past a Linear LPT Vane Using Spectral/hp Element Methods

A Non-Dimensional Approach for Generalizing the Particle Impact Behavior of Gas Turbine Fouling

Gas Turbine Fouling Tests: Review, Critical Analysis, and Particle Impact Behavior Map

High Fidelity Spectral/hp Element Methods for Turbomachinery

On Deposit Sintering and Detachment From Gas Turbines

Uncertainty Quantification Analysis of Back Facing Steps Film Cooling Configurations

Gas Turbine Fouling Tests: Review, Critical Analysis and Particle Impact Behavior Map

On the Role of Fluid–Structure Interaction on Structural Loading by Pressure Waves in Air

EBFOG: Deposition, Erosion, and Detachment on High-Pressure Turbine Vanes

Autonomous Uncertainty Quantification for Discontinuous Models Using Multivariate Padé Approximations

Uncertainty Quantification of Leakages in a Multistage Simulation and Comparison With Experiments

A Single Formulation for Uncertainty Propagation in Turbomachinery: SAMBA PC

An Autonomous Uncertainty Quantification Method for the Digital Age: Transonic Flow Simulations Using Multivariate Padé Approximations

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