Development and Application of a Multi-Objective Tool for Thermal Design of Heat Exchangers Using Neural Networks

Development and Application of a Multi-Objective Tool for Thermal Design of Heat Exchangers Using Neural Networks

This paper presents the design of a multi-objective tool for sizing shell and tube heat exchangers (STHX), developed under a University/Industry collaboration. This work aims to show the feasibility of implementing artificial intelligence tools during the design of Heat Exchangers in industry. The d...

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Bibliographic Details
Main Authors: José Luis de Andrés Honrubia, José Gaviria de la Puerta, Fernando Cortés, Urko Aguirre-Larracoechea, Aitor Goti, Jone Retolaza
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Mathematics
Subjects:
shell and tube heat exchangers
neural networks
multi-objective optimisation
industrial application
Online Access:https://www.mdpi.com/2227-7390/9/10/1120

Internet

https://www.mdpi.com/2227-7390/9/10/1120

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