Evaluation of machine learning models for predicting performance metrics of aero-engine combustors

As environmental standards tighten and aero-engine performance improves, credible mapping between structural parameters and performance metrics is crucial for optimizing combustion chamber design. A new consolidated dataset with 46 various geometric structures for lean premixed prevaporized combusto...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Huan Yang, Shu Guo, Haolin Xie, Jian Wen, Jiarui Wang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-01-01
Serie:	Case Studies in Thermal Engineering
Soggetti:	Lean premixed prevaporized Combustor performance metrics Machine learning Prediction accuracy
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2214157X24016587
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!