Prediction of Performance and Geometrical Parameters of Single-Phase Ejectors Using Artificial Neural Networks

Prediction of Performance and Geometrical Parameters of Single-Phase Ejectors Using Artificial Neural Networks

Ejectors have gained renewed interest in the last decades, especially in heat-driven refrigeration systems, to reduce the load of the compressor. Their performance is usually influenced by many factors, including the working fluid, operating conditions and basic geometrical parameters. Determining t...

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Bibliographic Details
Main Authors: Mehdi Bencharif, Sergio Croquer, Yu Fang, Sébastien Poncet, Hakim Nesreddine, Said Zid
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Thermo
Subjects:
single-phase ejector
artificial neural network
ejector performance
ejector design
thermodynamic model
Online Access:https://www.mdpi.com/2673-7264/3/1/1

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