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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Huan Yang, Shu Guo, Haolin Xie, Jian Wen, Jiarui Wang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-01-01
Schriftenreihe:	Case Studies in Thermal Engineering
Schlagworte:	Lean premixed prevaporized Combustor performance metrics Machine learning Prediction accuracy
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2214157X24016587
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