Affiliations 

  • 1 NanoCorr Energy and Modelling Research Group (NCEM), Bournemouth University Talbot Campus, Poole, Dorset BH12 5BB, UK. hnazir@bournemouth.ac.uk
  • 2 NanoCorr Energy and Modelling Research Group (NCEM), Bournemouth University Talbot Campus, Poole, Dorset BH12 5BB, UK. zkhan@bournemouth.ac.uk
  • 3 Global College of Engineering and Technology, CPO Ruwi 112, Muscat Sultanate P.O. Box 2546, Oman. asaeed@gcet.edu.om
  • 4 Advanced Bearing Analysis, Schaeffler Technologies AG & Co. KG, 91074 Herzogenaurach, Germany. vasilios.bakolas@schaeffler.com
  • 5 Advanced Bearing Analysis, Schaeffler Technologies AG & Co. KG, 91074 Herzogenaurach, Germany. Wolfgang.Braun@schaeffler.com
  • 6 NanoCorr Energy and Modelling Research Group (NCEM), Bournemouth University Talbot Campus, Poole, Dorset BH12 5BB, UK. rbajwa@bournemoth.ac.uk
  • 7 Low Dimensional Materials Research Centre, University of Malaya, Kuala Lumpur 50603, Malaysia. saqibrafique@hotmail.com
Materials (Basel), 2017 Oct 25;10(11).
PMID: 29068395 DOI: 10.3390/ma10111225

Abstract

A study has been presented on the effects of intrinsic mechanical parameters, such as surface stress, surface elastic modulus, surface porosity, permeability and grain size on the corrosion failure of nanocomposite coatings. A set of mechano-electrochemical equations was developed by combining the popular Butler-Volmer and Duhem expressions to analyze the direct influence of mechanical parameters on the electrochemical reactions in nanocomposite coatings. Nanocomposite coatings of Ni with Al₂O₃, SiC, ZrO₂ and Graphene nanoparticles were studied as examples. The predictions showed that the corrosion rate of the nanocoatings increased with increasing grain size due to increase in surface stress, surface porosity and permeability of nanocoatings. A detailed experimental study was performed in which the nanocomposite coatings were subjected to an accelerated corrosion testing. The experimental results helped to develop and validate the equations by qualitative comparison between the experimental and predicted results showing good agreement between the two.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.