Open Access

ARTICLE

Application of an Artificial Neural Network Method for the Prediction of the Tube-Side Fouling Resistance in a Shell-And-Tube Heat Exchanger

Rania Jradi^1,*, Christophe Marvillet², Mohamed-Razak Jeday¹

1 Research Laboratory “Process, Energy, Environment & Electrical Systems”, National Engineering School of Gabes, Gabes, 6029, Tunisia
2 CMGPCE Laboratory, French Institute of Refrigeration (IFFI), National Conservatory of Arts and Crafts (CNAM), Paris, 75141, France

* Corresponding Author: Rania Jradi. Email: