Multi-objective optimization and performance assessment of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy interfence system (ANFIS) for estimation of fouling in phosphoric acid/steam heat exchanger-Reference-Cited by-同舟云学术

Multi-objective optimization and performance assessment of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy interfence system (ANFIS) for estimation of fouling in phosphoric acid/steam heat exchanger

Published:2024-07 Issue: Volume:248 Page:123255
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Jradi Rania,Marvillet Christophe,Jeday Mohamed Razak

Funder

Enseignement Supérieur et de la Recherche Scientifique

Publisher

Elsevier BV

Reference61 articles.

1. The effect of cleaning agents on the structural features of heat exchanger deposits from sugar factories;Phakam;J. Food Eng.,2018

2. Fouling prediction of heat exchanger surface under alternating magnetic field based on IGWO–SVR;Wang;Int. J. Therm. Sci.,2023

3. Tubular heat exchanger fouling in phosphoric acid concentration process;Jradi;Heat Exchangers. Intechopen Edition,2019

4. Experimental investigation of temperature and hydrodynamics on CaCO3 fouling during convective heat transfer and subcooled flow boiling;Rahimi;Appl. Therm. Eng.,2023

5. Parametric study of calcium sulfate crystallization fouling in cross-flow heat exchanger using response surface methodology;Jradi;Heat Mass Transfer,2023

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