Machine learning for Advanced Gas turbine Injection SysTems to Enhance combustoR performance.

Leistungen

Control of a thermoacoustic system using machine learning

Control of thermoacoustic system using machine learning

Compressible LES of liquid fuel injection using AVBP.

Compressible LES of liquid fuel injection using AVBP

Modelling of acoustically absorbing liners.
Demo of of combustion instability surrogate model.

Demo of LES of unstable spray flames

Uncertainty handling in engine operation.

Uncertainty handling in engine operation

Droplet measurements data in an atmospheric test rig.

Droplet measurements data in an atmospheric test rig

Development of the Discontinuous Galerkin discretization in SU2: application demo LES of spray flames.

Development of the Discontinuous Galerkin discretization in SU2 application demo LES of spray flames

Compressible LES applied to combustion liners and dilution holes.

Compressible LES applied to combustion liners and dilution holes

Simulation data of the effect of pressure variation on spray combustion.

Simulation data of the effect of pressure variation on spray combustion

Machine learning in thermoacoustic measurements.

Machine learning in thermoacoustic measurements

Comparison of different machine learning algorithms.
Application of machine learning in CFD.
UQ of spray combustion.

Uncertainty Quantification of spray combustion

LES demo thermoacoustic instability in helicopter engine
Measurement data of the acoustic response of kerosene spray flames.

Measurement data of the acoustic response of kerosene spray flames

Summer school: Thermo-acoustics and combustion dynamics in aero gas turbine engines

Thermo-acoustics and combustion dynamics in aero gas turbine engines

Workshop C

Entrepreneurship, ethics, intellectual property rights and management

Workshop B

CFD for spray flame simulations

Workshop D

Measurements of spray flames in aircraft type combustors

Overview of Outreach activities. Final press release

Overview of Outreach activities Final press release

Symposium: Future Aero gas turbine engines Com-bustion Dynamics+Acoustics: Prediction and Remedy

Aero gas turbine engine Combustion Dynamics and Acoustics Prediction and Remedy

Workshop A

Machine Learning, Combustion and Acoustics in aero engine combustors

Data Management Plan (DMP)

Mandatory deliverable as consortium decided not to opt out of the pilot on open research.

MAGISTER web site operational

Veröffentlichungen

Data Assimilation Using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models

Autoren: Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper
Veröffentlicht in: Computational Science – ICCS 2021 - 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part V, Ausgabe 12746, 2021, Seite(n) 408-419, ISBN 978-3-030-77976-4
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-77977-1_33

Reduced order models applied to laminar diffusion flames

Autoren: Nicole Lopes M. B. Junqueira, Luís Fernando Figueira da Silva, Louise Da Costa Ramos
Veröffentlicht in: Procceedings of the 18th Brazilian Congress of Thermal Sciences and Engineering, 2020
Herausgeber: ABCM
DOI: 10.26678/abcm.encit2020.cit20-0196

Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles

Autoren: Sengupta, Ushnish; Croci, Maximilian L.; Juniper, Matthew P.
Veröffentlicht in: Ausgabe 1, 2021
Herausgeber: Cornell University

Bayesian Machine Learning for the Prognosis of Combustion Instabilities From Noise

Autoren: Ushnish Sengupta; Carl Edward Rasmussen; Matthew P. Juniper
Veröffentlicht in: Ausgabe 2, 2021
Herausgeber: Proceedings of the ASME Turbo Expo
DOI: 10.1115/1.4049762

Confidence in Flame Impulse Response Estimation by LES with Uncertain Thermal Boundary Condition

Autoren: Kulkarni S, Guo S, Silva CF, Polifke W.
Veröffentlicht in: 2021
Herausgeber: ASME Turbo Expo 2021
DOI: 10.13140/rg.2.2.25121.12642

Thermoacoustic stabilization of combustors with gradient-augmented Bayesian optimization and adjoint models

Autoren: Ushnish Sengupta1 and Matthew P. Juniper1
Veröffentlicht in: 2021
Herausgeber: Symposium on Thermoacoustics in Combustion: Industry meets Academia (SoTiC 2021)

Avoiding High-frequency Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Bayesian Deep Learning

Autoren: Sengupta, Ushnish ; Waxenegger-Wilfing, Guenther ; Martin, Jan ; Hardi, Justin ; Juniper, Matthew
Veröffentlicht in: Avoiding High-frequency Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Bayesian Deep Learning, 2020
Herausgeber: Conference: American Physical Society, Division of Fluid Dynamics Meeting 2020 (APS DFD 2020)
DOI: 10.13140/rg.2.2.15452.00649

Static mesh adaptation for reliable large eddy simulation of turbulent reacting flows

Autoren: P. W. Agostinelli; B. Rochette; D. Laera; J. Dombard; B. Cuenot; L. Gicquel
Veröffentlicht in: Crossref, Ausgabe 5, 2021, ISSN 1527-2435
Herausgeber: Physics of Fluids
DOI: 10.1063/5.0040719

Fusing model ensembles and observations together with Bayesian neural networks

Autoren: Amos, Matt ; Sengupta, Ushnish ; Hosking, Scott ; Young, Paul
Veröffentlicht in: 2021
Herausgeber: EGU General Assembly Conference Abstracts

Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning

Autoren: Ushnish Senguptaa, G ̈unther Waxenegger-Wilfingb, Jan Martinb,Justin Hardib, Matthew P. Junipera,∗
Veröffentlicht in: Fluid Dynamics (physics.flu-dyn); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG), 2021
Herausgeber: Fluid Dynamics (physics.flu-dyn); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG)

Online Detection of Combustion Instabilities Using Supervised Machine Learning

Autoren: Michael McCartney, Wolfgang Polifke
Veröffentlicht in: Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition, 2020
Herausgeber: ASME Turbo Expo 2020
DOI: 10.1115/gt2020-14834

A model to study spontaneous oscillations in a lean premixed combustor using non-linear analysis

Autoren: Sara Navarro Arredondo, Jim Kok
Veröffentlicht in: Proceedings of the 26th International Congress on Sound and Vibration, Ausgabe 26, 2019, ISBN 978-1-9991810-0-0
Herausgeber: Canadian Acoustical Association

Numerical Study Of A Swirl Atomized Spray Response To Acoustic Perturbations.

Autoren: Alireza Ghasemi, J.B.W. Kok
Veröffentlicht in: Proceedings of the 26th International Congress on Sound and Vibration, Ausgabe 26, 2019, ISBN 978-1-9991810-0-0
Herausgeber: Canadian Acoustical Association

Bayesian machine learning for the prognosis of combustion instabilities from noise

Autoren: Ushnish Sengupta Carl Rasmussen Matthew Juniper
Veröffentlicht in: Proceedings of the ASME 2020 Turbomachinery Technical Conference Exposition, 2020
Herausgeber: Proceedings of the ASME 2020 Turbomachinery Technical Conference Exposition
DOI: 10.31224/osf.io/ysgp4

Ensembling geophysical models with Bayesian Neural Networks

Autoren: Sengupta, Ushnish; Amos, Matt; Hosking, J. Scott; Rasmussen, Carl Edward; Juniper, Matthew; Young, Paul J.
Veröffentlicht in: Ausgabe 2, 2020
Herausgeber: Cornell University
DOI: 10.17863/cam.60032

Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles

Autoren: Ushnish Sengupta, Maximilian L. Croci, Matthew P. Juniper
Veröffentlicht in: 2020
Herausgeber: Cornell University

Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions

Autoren: Michael McCartney, Matthias Haeringer, Wolfgang Polifke
Veröffentlicht in: Volume 4B: Combustion, Fuels, and Emissions, 2019, ISBN 978-0-7918-5862-2
Herausgeber: American Society of Mechanical Engineers
DOI: 10.1115/gt2019-91319

Numerical and Experimental Flame Stabilization Analysis in the New SpinningCombustion Technology Framework

Autoren: Agostinelli, P. W., Kwah, Y. H., Richard, S., Exilard, G., Dawson, J. R., Gicquel, L., & Poinsot, T.
Veröffentlicht in: 2020
Herausgeber: In Proceedings of the ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition
DOI: 10.1115/gt2020-15035

Real-time parameter inference of nonlinear bluff-body-stabilized flame models using Bayesian neural network ensembles

Autoren: Maximilian L. Croci1 2, Ushnish Sengupta1 and Matthew P. Juniper1
Veröffentlicht in: Symposium on Thermoacoustics in Combustion: Industry meets Academia (SoTiC 2021), 2021
Herausgeber: SoTiC 2021 - Symposium on Thermoacoustics in Combustion: Industry meets Academia, 2021

Numerical design of Luenberger observers for nonlinear systems

Autoren: Louise da C. Ramos, Florent Di Meglio, Valery Morgenthaler, Luis F. Figueira da Silva, Pauline Bernard
Veröffentlicht in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Seite(n) 5435-5442, ISBN 978-1-7281-7447-1
Herausgeber: IEEE
DOI: 10.1109/cdc42340.2020.9304163

Reduced Order Models Applied to Laminar Diffusion Flames

Autoren: N. L. M. B. Junqueira, L. F. Figueira da Silva, L. C. Ramos
Veröffentlicht in: 2020 Brazilian Congress of Thermal Sciences and Engineering, Online., 2020
Herausgeber: 2020 Brazilian Congress of Thermal Sciences and Engineering, Online.

Reduced Order Model of Laminar Premixed Inverted Conical Flames

Autoren: Louise da Costa Ramos, Florent Di Meglio, Luis Fernando F. Da Silva, Valery Morgenthaler
Veröffentlicht in: AIAA Scitech 2020 Forum, 2020, ISBN 978-1-62410-595-1
Herausgeber: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2020-0416

Estimating Both Reflection Coefficients of 2×2 Linear Hyperbolic Systems with Single Boundary Measurement

Autoren: Nils Christian A. Wilhelmsen, Florent Di Meglio
Veröffentlicht in: 2020 59th IEEE Conference on Decision and Control (CDC), 2020, Seite(n) 658-665, ISBN 978-1-7281-7447-1
Herausgeber: IEEE
DOI: 10.1109/cdc42340.2020.9304413

The influence of the learning data on the reduced order model of laminar non-premixed flames

Autoren: Nicole Lopes Junqueira Luis Fernando Figueira da Silva , Louise da Costa Ramos , Igor Braga de Paula
Veröffentlicht in: 26 International Congress of Mechanical Engineering, 2021
Herausgeber: 26 International Congress of Mechanical Engineering
DOI: 10.26678/abcm.cobem2021.cob2021-0110

Assimilation of Experimental Data to Create a Quantitatively Accurate Reduced-Order Thermoacoustic Model

Autoren: Francesco Garita; Hans Yu; Matthew P. Juniper
Veröffentlicht in: Ausgabe 4, 2021, ISSN 1528-8919
Herausgeber: Journal of Engineering for Gas Turbines and Power
DOI: 10.31224/osf.io/8bmaz

Ongoing Development of Non-reflective Boundary Conditions for Euler and Navier-Stokes Equations via the Discontinuous Galerkin Framework

Autoren: Edmond Shehadi, Edwin van der Weide
Veröffentlicht in: AIAA Scitech 2021 Forum, 2021, ISBN 978-1-62410-609-5
Herausgeber: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2021-1660

ASSIMILATION OF EXPERIMENTAL DATA TO CREATE A QUANTITATIVELY-ACCURATE REDUCED ORDER THERMOACOUSTIC MODEL

Autoren: Garita, F., Yu, H., & Juniper, M.
Veröffentlicht in: Proceedings of the ASME Turbo Expo 2020: Turbine Technical Conference and Exposition, 2020
Herausgeber: ASME Turbo Expo 2020

Influence of Hole-to-Hole Interaction on the Acoustic Behavior of Multi-Orifice Perforated Plates

Autoren: Alireza Javareshkian, Alexis Dancelme, Hongyu Chen, Thomas Sattelmayer
Veröffentlicht in: 2021
Herausgeber: Journal of Engineering for Gas Turbines and Power
DOI: 10.1115/gt2021-58535

Improved color-gradient method for lattice Boltzmann modeling of two-phase flows

Autoren: T. Lafarge; P. Boivin; N. Odier; B. Cuenot
Veröffentlicht in: EISSN: 1089-7666, Ausgabe 1, 2021, ISSN 1527-2435
Herausgeber: Physics of Fluids
DOI: 10.1063/5.0061638

Modeling of Pulsating Inverted Conical Flames: a Numerical Instability Analysis

Autoren: L. C. Ramos, L. F. Figueira da Silva, F. Di Meglio, V. Morgenthaler
Veröffentlicht in: Combustion Theory and Modeling, 2021, ISSN 1364-7830
Herausgeber: Institute of Physics Publishing

Influence of an Oscillating Airflow on the PrefilmingAirblast Atomization Process

Autoren: Thomas Christou Björn Stelzner Nikolaos Zarzalis
Veröffentlicht in: Atomization and Sprays, 2021, ISSN 1936-2684
Herausgeber: Atomization and Sprays
DOI: 10.1615/atomizspr.2021034553

Modeling of the nonlinear flame response of a Bunsen-type flame via multi-layer perceptron

Autoren: Nilam Tathawadekar, Nguyen Anh Khoa Doan, Camilo F. Silva, Nils Thuerey
Veröffentlicht in: Proceedings of the Combustion Institute, 2020, ISSN 1540-7489
Herausgeber: Combustion Institute
DOI: 10.1016/j.proci.2020.07.115

Numerical study of multicomponent spray flame propagation

Autoren: Varun Shastry Quentin Cazeres Bastien Rochette Eleonore Riber Bénédicte Cuenot
Veröffentlicht in: Proceedings of the Combustion Institute, 2019, ISSN 1540-7489
Herausgeber: Combustion Institute
DOI: 10.1016/j.proci.2020.07.090

Stabilization mechanisms of CH4 premixed swirled flame enriched with a non-premixed hydrogen injection

Autoren: Laera, D., Agostinelli, P. W., Selle, L., Caz res, Q., Oztarlik, G., Schuller, T., Gicquel, L., & Poinsot
Veröffentlicht in: Proceedings of the Combustion Institute, 2020, ISSN 1540-7489
Herausgeber: Combustion Institute

Impact of wall heat transfer in Large Eddy Simulation of flame dynamics in a swirled combustion chamber

Autoren: P.W.Agostinelli D.Laera I.Boxx L.Gicquel T.Poinsotd
Veröffentlicht in: Combustion and Flame, 2021, ISSN 0010-2180
Herausgeber: Elsevier BV
DOI: 10.1016/j.combustflame.2021.111728

Reducing Uncertainty in the Onset of Combustion Instabilities Using Dynamic Pressure Information and Bayesian Neural Networks

Autoren: Michael McCartney, Ushnish Sengupta, Matthew Juniper
Veröffentlicht in: Journal of Engineering for Gas Turbines and Power, 2021, ISSN 0742-4795
Herausgeber: American Society of Mechanical Engineers
DOI: 10.1115/1.4052145

Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions

Autoren: Michael McCartney, Matthias Haeringer, Wolfgang Polifke
Veröffentlicht in: Journal of Engineering for Gas Turbines and Power, Ausgabe 142/6, 2020, ISSN 0742-4795
Herausgeber: American Society of Mechanical Engineers
DOI: 10.1115/1.4045516

An Observer for the Electrically Heated Vertical Rijke Tube with Nonlinear Heat Release

Autoren: Nils Christian A. Wilhelmsen, Florent Di Meglio
Veröffentlicht in: IFAC-PapersOnLine, Ausgabe 53/2, 2020, Seite(n) 4181-4188, ISSN 2405-8963
Herausgeber: IFAC-PapersOnLine
DOI: 10.1016/j.ifacol.2020.12.2461

Early detection of thermoacoustic instabilities in a cryogenic rocket thrust chamber using combustion noise features and machine learning

Autoren: Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin, Wolfgang Armbruster, Justin Hardi, Matthew Juniper, Michael Oschwald
Veröffentlicht in: Chaos: An Interdisciplinary Journal of Nonlinear Science, Ausgabe 31/6, 2021, Seite(n) 063128, ISSN 1054-1500
Herausgeber: American Institute of Physics
DOI: 10.1063/5.0038817

Ensembling geophysical models with Bayesian Neural Networks

Autoren: Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew Juniper, Paul J. Young
Veröffentlicht in: Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020
Herausgeber: Advances in Neural Information Processing Systems (NeurIPS) 2020

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