Dissertation/ Thesis

Data-driven turbulence modelling for film and effusion cooling flows

التفاصيل البيبلوغرافية
العنوان: Data-driven turbulence modelling for film and effusion cooling flows
المؤلفون: Christopher Ellis
سنة النشر: 2023
المجموعة: Loughborough University: Figshare
مصطلحات موضوعية: Aerospace engineering not elsewhere classified, Automotive engineering not elsewhere classified, Machine Learning (ML), Turbulence Modelling, Film Cooling Flows, Effusion Cooling Flows, Gas Turbines, Computational Fluid Dynamics, Neural Networks, Random Forests
الوصف: Data-driven turbulence modelling for film and effusion cooling flows
نوع الوثيقة: thesis
اللغة: unknown
Relation: https://figshare.com/articles/thesis/Data-driven_turbulence_modelling_for_film_and_effusion_cooling_flows/22316434
DOI: 10.26174/thesis.lboro.22316434.v1
الاتاحة: https://doi.org/10.26174/thesis.lboro.22316434.v1
https://figshare.com/articles/thesis/Data-driven_turbulence_modelling_for_film_and_effusion_cooling_flows/22316434
Rights: CC BY-NC-ND 4.0
رقم الانضمام: edsbas.C685A635
قاعدة البيانات: BASE