Salicio-Paz Asier, Ugarte Ixone, Sort Jordi, Pellicer Eva, García-Lecina Eva
CIDETEC, Basque Research and Technology Alliance (BRTA), E-20014 Donostia-San Sebastián, Spain.
Departament de Física, Universitat Autònoma de Barcelona, E-08193 Bellaterra, Spain.
Materials (Basel). 2021 Mar 18;14(6):1501. doi: 10.3390/ma14061501.
Univariate and multivariate optimizations of a novel electroless nickel formulation have been carried out by means of the Taguchi method. From the compositional point of view, adjustment of the complexing agent concentration in solution is crucial for fine-tuning free Ni ions concentration and, in turn, the mechanical properties of the resulting coatings. The Ni (II) concentration and the pH are the main parameters which help restrict the incorporation of phosphorous into the Ni layers. On the other hand, the stirring rate, the pH and the reducing agent concentration are the most influential parameters for the corrosion resistance of the coatings. Multivariate optimization of the electrolyte leads to a set of optimized parameters in which the mechanical properties (hardness and worn volume) of the layers are similar to the optimal values achieved in the univariate optimization, but the corrosion rate is decreased by one order of magnitude.
采用田口方法对一种新型化学镀镍配方进行了单因素和多因素优化。从成分角度来看,调整溶液中络合剂的浓度对于微调游离镍离子浓度进而对所得涂层的机械性能至关重要。镍(II)浓度和pH值是有助于限制磷掺入镍层的主要参数。另一方面,搅拌速率、pH值和还原剂浓度是对涂层耐腐蚀性影响最大的参数。对电解质进行多因素优化得到了一组优化参数,其中涂层的机械性能(硬度和磨损体积)与单因素优化中获得的最佳值相似,但腐蚀速率降低了一个数量级。