Nazir Mian Hammad, Khan Zulfiqar Ahmad, Saeed Adil, Bakolas Vasilios, Braun Wolfgang, Bajwa Rizwan, Rafique Saqib
NanoCorr Energy and Modelling Research Group (NCEM), Bournemouth University Talbot Campus, Poole, Dorset BH12 5BB, UK.
Global College of Engineering and Technology, CPO Ruwi 112, Muscat Sultanate P.O. Box 2546, Oman.
Materials (Basel). 2017 Oct 25;10(11):1225. doi: 10.3390/ma10111225.
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.
一项关于诸如表面应力、表面弹性模量、表面孔隙率、渗透率和晶粒尺寸等本征力学参数对纳米复合涂层腐蚀失效影响的研究已经展开。通过结合广为人知的巴特勒-沃尔默(Butler-Volmer)表达式和迪昂(Duhem)表达式,建立了一组机械电化学方程,以分析力学参数对纳米复合涂层中电化学反应的直接影响。以含有氧化铝、碳化硅、二氧化锆和石墨烯纳米颗粒的镍纳米复合涂层为例进行了研究。预测结果表明,由于纳米涂层表面应力、表面孔隙率和渗透率的增加,纳米涂层的腐蚀速率随晶粒尺寸的增大而增加。进行了一项详细的实验研究,其中对纳米复合涂层进行了加速腐蚀测试。实验结果通过实验结果与预测结果之间的定性比较,有助于建立和验证这些方程,两者显示出良好的一致性。