Next Article in Journal
Characterization of HfO2 Optical Coatings Deposited by MF Magnetron Sputtering
Previous Article in Journal
Biocleaning to Remove Graffiti: A Real Possibility? Advances towards a Complete Protocol of Action
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
Coatings 2019, 9(2), 105; https://doi.org/10.3390/coatings9020105

Investigation of Polymer Coatings Formed by Polyvinyl Alcohol and Silver Nanoparticles on Copper Surface in Acid Medium by Means of Deep Convolutional Neural Networks

1
Department of Chemistry, Faculty of Sciences, University of Craiova, 107i Calea Bucuresti, 200478 Craiova, Romania
2
Department of Computer Science, Faculty of Sciences, University of Craiova, A. I. Cuza, No.13, 200585 Craiova, Romania
3
Grupo Ingeniería de Sistemas Integrados (TIC-125), E.T.S.I. Telecomunicación, Universidad de Malaga, Campus de Teatinos, 29071 Malaga, Spain
*
Author to whom correspondence should be addressed.
Received: 20 December 2018 / Revised: 2 February 2019 / Accepted: 6 February 2019 / Published: 8 February 2019
Full-Text   |   PDF [3143 KB, uploaded 20 February 2019]   |  

Abstract

In order to assemble effective protective coatings against corrosion, electrochemical techniques such as linear potentiometry and cyclic voltammetry were performed on a copper surface in 0.1 mol·L−1 HCl solution containing 0.1% polyvinyl alcohol (PVA) in the absence and presence of silver nanoparticles (nAg/PVA). A recent paradigm was used to distinguish the features of the coatings, that is, a deep convolutional neural network (CNN) was implemented to automatically and hierarchically extract the discriminative characteristics from the information given by optical microscopy images. In our study, the material surface morphology, controlled by the CNN without the interference of the human factor, was successfully conducted to extract the similarities/differences between unprotected and protected surfaces in order to establish the PVA and nAg/PVA performance to retard copper corrosion. The CNN results were confirmed by the classical investigation of copper behavior in hydrochloric acid solution in the absence and presence of polyvinyl alcohol and silver nanoparticles. The electrochemical measurements showed that the corrosion current density (icorr) decreased and polarization resistance (Rp) increased, with both PVA and nAg/PVA being effective inhibitors for copper corrosion in an acid environment, forming polymer protective coatings by adsorption on the metal surface. Furthermore, scanning electron microscopy (SEM) certifies the formation of polymer coatings, revealing a specific morphology of the copper surface in the presence of PVA and nAg/PVA, very different from that of corroded copper in uninhibited solutions. Finally, the correlation of the CNN information with experimental data was reported. View Full-Text
Keywords: copper; polymer coatings; polyvinyl alcohol; silver nanoparticles; deep learning; CNN copper; polymer coatings; polyvinyl alcohol; silver nanoparticles; deep learning; CNN
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Samide, A.; Stoean, R.; Stoean, C.; Tutunaru, B.; Grecu, R.; Cioateră, N. Investigation of Polymer Coatings Formed by Polyvinyl Alcohol and Silver Nanoparticles on Copper Surface in Acid Medium by Means of Deep Convolutional Neural Networks. Coatings 2019, 9, 105.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Coatings EISSN 2079-6412 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top