Topic Design and Modelling
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
Towards digital design of gas turbines
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
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
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
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
Low pressure ratio transonic fan stall with radial distortion
J. Glob. Power Propuls. Soc. 2020;4:226-237