Turbofan Performance Estimation Using Neural Network Component Maps and Genetic Algorithm-Least Squares Solvers

Turbofan Performance Estimation Using Neural Network Component Maps and Genetic Algorithm-Least Squares Solvers

Computational models of turbofans that are oriented to assist the design and testing of innovative components are of fundamental importance in order to reduce their environmental impact. In this paper, we present an effective method for developing numerical turbofan models that allows reliable stead...

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Bibliographic Details
Main Authors: Giuseppe Lombardo, Pierantonio Lo Greco, Ivano Benedetti
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:International Journal of Turbomachinery, Propulsion and Power
Subjects:
turbofan
neural network
genetic algorithm
nonlinear modeling
least square method
Online Access:https://www.mdpi.com/2504-186X/9/3/27

Internet

https://www.mdpi.com/2504-186X/9/3/27

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