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Topic Design and Modelling
ORIGINAL ARTICLE
High-fidelity CFD-trained machine learning to inform RANS-modelled interfacial turbulence
J. Glob. Power Propuls. Soc. 2023;7:269–281
ORIGINAL ARTICLE
Development of a surrogate model for uncertainty quantification of compressor performance due to manufacturing tolerance
J. Glob. Power Propuls. Soc. 2023;7:257–268
ORIGINAL ARTICLE
Isotropic and anisotropic mesh adaptation for RANS simulations of a nacelle under crosswind conditions
J. Glob. Power Propuls. Soc. 2023;7:188–199
ORIGINAL ARTICLE
Systematic roughness variation to model the influence of skewness on wall bounded flows
J. Glob. Power Propuls. Soc. 2023;7:177–187
REVIEW ARTICLE
Creep-damage modelling for micro gas turbine combustion chambers lifetime prediction
J. Glob. Power Propuls. Soc. 2023;7:166–176
ORIGINAL ARTICLE
Virtual process for evaluating the influence of real combined module variations on the overall performance of an aircraft engine
Jan Goeing, Hendrik Seehausen, Lennart Stania, Nicolas Nuebel, Julian Salomon, Panagiotis Ignatidis, Friedrich Dinkelacker, Michael Beer, Berend Berend, Joerg R. Seume, Jens Friedrichs
J. Glob. Power Propuls. Soc. 2023;7:95–112
ORIGINAL ARTICLE
Validation and verification of RANS solvers for TUDa-GLR-OpenStage transonic axial compressor
J. Glob. Power Propuls. Soc. 2023;7:13–29
ORIGINAL ARTICLE
LES prediction of transitional flows in LP turbine cascades: effects of blade loading, flow phenomena and numerical setup
J. Glob. Power Propuls. Soc. 2022;6:330–342
ORIGINAL ARTICLE
Predicting the ignition sequences in a separated stratified swirling spray flame with stochastic flame particle tracking
J. Glob. Power Propuls. Soc. 2022;6:279–289
ORIGINAL ARTICLE
Investigation of turbulence production and dissipation due to isotropic and anisotropic roughness components on real surfaces
J. Glob. Power Propuls. Soc. 2022;6:227–237
ORIGINAL ARTICLE
Efficient analysis of unsteady flows within multi-stage turbomachines using the coupled time and passage spectral method
J. Glob. Power Propuls. Soc. 2022;6:213–226
ORIGINAL ARTICLE
Non-parametric surrogate model method based on machine learning with application on low-pressure steam turbine exhaust system
J. Glob. Power Propuls. Soc. 2022;6:165–180
ORIGINAL ARTICLE
Flow deviation and critical choking in transonic turbine cascades operating with non-ideal compressible flows
J. Glob. Power Propuls. Soc. 2022;6:181–199
ORIGINAL ARTICLE
Experimental and numerical investigations of mixed convection in turbine cavities for more flexible operations
J. Glob. Power Propuls. Soc. 2022;6:106–123
ORIGINAL ARTICLE
Towards real time transient mGT performance assessment: effective prediction using accurate component modelling techniques
J. Glob. Power Propuls. Soc. 2022;6:96–105
ORIGINAL ARTICLE
Numerical optimization study for the geometry of film cooling nozzle
J. Glob. Power Propuls. Soc. 2022;6:39–60
ORIGINAL ARTICLE
Numerical and experimental study of droplet-film-interaction for low pressure steam turbine erosion protection applications
J. Glob. Power Propuls. Soc. 2021;5:90–103
ORIGINAL ARTICLE
Impact of volumetric system design on compressor inlet conditions in supercritical CO2 cycles
J. Glob. Power Propuls. Soc. 2021;5:104–110
ORIGINAL ARTICLE
Characterization of manufacturing uncertainties with applications to uncertainty quantification and robust design optimization
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–16
ORIGINAL ARTICLE
Towards digital design of gas turbines
Francesco Montomoli, Stelios Antorkas, Marco Pietropaoli, Audrey Gaymann, James Hammond, Yuri Frey Marioni, Niklas Isaksson, Michela Massini, Raul Vazquez-Diaz, Paolo Adami
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–12
ORIGINAL ARTICLE
Calibration of Spalart-Allmaras model for simulation of corner flow separation in linear compressor cascade
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–16
REVIEW ARTICLE
A physics-informed machine learning framework for predictive maintenance applied to turbomachinery assets
Marzia Sepe, Antonino Graziano, Maciej Badora, Alessandro Di Stazio, Luca Bellani, Michele Compare, Enrico Zio
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–15
ORIGINAL ARTICLE
Making use of our data
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–13
ORIGINAL ARTICLE
Towards the Large-Eddy Simulation of a full engine: Integration of a 360 azimuthal degrees fan, compressor and combustion chamber. Part II: Comparison against stand-alone simulations
Carlos Pérez Arroyo, Jérôme Dombard, Florent Duchaine, Laurent Gicquel, Benjamin Martin, Nicolas Odier, Gabriel Staffelbach
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–16
ORIGINAL ARTICLE
Towards the Large-Eddy Simulation of a full engine: Integration of a 360 azimuthal degrees fan, compressor and combustion chamber. Part I: Methodology and initialisation
Carlos Pérez Arroyo, Jérôme Dombard, Florent Duchaine, Laurent Gicquel, Benjamin Martin, Nicolas Odier, Gabriel Staffelbach
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–16
ORIGINAL ARTICLE
Editorial: Data-driven modelling and high-fidelity simulations
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–2
REVIEW ARTICLE
Challenges and opportunities for artificial intelligence and high-fidelity simulations in turbomachinery applications: A perspective
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–14
ORIGINAL ARTICLE
Estimating RANS model uncertainty using machine learning
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–14
ORIGINAL ARTICLE
RANS predictions of trailing-edge slot flows using heat-flux closures developed with CFD-driven machine learning
J. Glob. Power Propuls. Soc. 2021;Special Issue: Data-driven modelling and high-fidelity simulations:1–13
ORIGINAL ARTICLE
Improvement of corner separation prediction using an explicit non-linear RANS closure
J. Glob. Power Propuls. Soc. 2021;5:50–65
ORIGINAL ARTICLE
The required aerodynamic simulation fidelity to usefully support a gas turbine digital twin for manufacturing
J. Glob. Power Propuls. Soc. 2021;5:15–27
ORIGINAL ARTICLE
Influence of combined compressor and turbine deterioration on the overall performance of a jet engine using RANS simulation and Pseudo Bond Graph approach
J. Glob. Power Propuls. Soc. 2020;4:296–308
ORIGINAL ARTICLE
Three-dimensional low-order surge model for high-speed axial compressors
J. Glob. Power Propuls. Soc. 2020;4:274–284
ORIGINAL ARTICLE
Low pressure ratio transonic fan stall with radial distortion
J. Glob. Power Propuls. Soc. 2020;4:226–237
ORIGINAL ARTICLE
Impact of downstream potential perturbations on the nonlinear stability of a generic fan
J. Glob. Power Propuls. Soc. 2020;4:217–225
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