Title | Advanced engineering platform supporting CFD simulations of aeronautical engine critical parts |
Publication Type | Book Chapter |
Year of Publication | 2022 |
Authors | Magarielli D, Spano E, Fondelli T, Pampaloni D, Andreini A, Savio P, Marconcini M, Poli F |
Book Title | HPC, Big Data, AI Convergence Toward Exascale: Challenge and Vision |
Chapter | 6 |
Publisher | Taylor & Francis Group, LLC |
City | New York |
ISBN Number | 978-100048511-0, 978-103200984-1 |
Other Numbers | Scopus 2-s2.0-85138327137 |
Abstract | Avio Aero is one of GE Aviation’s businesses at the forefront of developing innovative aeronautic design technologies that are transforming the engineering and production of aeronautical components and modules for next-generation greener and quieter engines. In this context, nowadays there are significant efforts being made to get increasingly reliable turbo engine performance prediction, searching for more realistic simulation approaches able to anticipate problems, typically encountered in the detailed design phases. This implies the adoption of an advanced engineering platform allowing the execution of very HW-intensive and time-consuming CAE simulations based on sophisticated numerical solvers. The exploitation in LEXIS of both next-generation HPC/cloud/big data technologies and advanced CFD software solutions is enabling innovative and faster investigation strategies for the design and optimization of critical aircraft engine components, such as low-pressure turbines and gearboxes. The context, objectives, and current main results from the two aeronautical engineering case studies included in the Aeronautics pilot in LEXIS are presented in this chapter. |
Notes | Editors: Olivier Terzo and Jan Martinovic. |
URL | https://www.taylorfrancis.com/chapters/edit/10.1201/9781003176664-6/ |
DOI | 10.1201/9781003176664-6 |
Refereed Designation | Refereed |