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Prediction and optimization of electroplated Ni-based coating composition and thickness using central composite design and artificial neural network |
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| Authors: | Sassi Wafa Mrad Mouna Behera Debasis Ammar Salah Hihn Jean-Yves |
| Affiliation: | 1.Higher Institute of Applied Sciences and Technology of Gabes, Gabes University, Avenue Omar Ibn El Khattab, 6029, Gabes, Tunisia ;2.Unité de Recherche Electrochimie, Matériaux Et Environnement UREME (UR17ES45), Faculté Des Sciences de Gabès, Université de Gabès, Cité Erriadh, 6072, Gabès, Tunisia ;3.Department of Chemistry, Gangadhar Meher University, Amruta Vihar, Sambalpur, Odisha, 768004, India ;4.Institut UTINAM, CNRS UMR 6213, Univ Bourgogne Franche-Comté, 16 route de Gray, 25030, Besan?on Cedex, France ; |
| Abstract: | Journal of Applied Electrochemistry - The choice of the electroplating conditions of Ni-based alloys has always been a serious research question. In this study, an artificial neural network based... |
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