Artificial Intelligence-Based Techniques for Fouling Resistance Estimation of Shell and Tube Heat Exchanger: Cascaded Forward and Recurrent Models

Artificial Intelligence-Based Techniques for Fouling Resistance Estimation of Shell and Tube Heat Exchanger: Cascaded Forward and Recurrent Models

Heat exchangers play a crucial role in transferring heat between two mediums, directly impacting energy efficiency, product quality, and operational safety in industrial systems. This study presents a novel approach for fouling resistance estimation using two artificial intelligence models, the casc...

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Bibliographic Details
Main Authors: Ikram Kouidri, Abdennasser Dahmani, Furizal Furizal, Alfian Ma’arif, Ahmed A. Mostfa, Abdeltif Amrane, Lotfi Mouni, Abdel-Nasser Sharkawy
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Eng
Subjects:
heat exchanger
fouling resistance
cascaded forward network
recurrent network
statistical analysis
predictive maintenance
Online Access:https://www.mdpi.com/2673-4117/6/5/85
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