A method to determine electrochemical kinetic parameters for multi-element anomalous co-deposition of Zn-Ni electroplating

IF 2 Q3 ENGINEERING, MANUFACTURING
M.F. Yasir , M. Sundaram , N. Iyyer , K. Rajurkar
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引用次数: 0

Abstract

Zinc-Nickel alloy plating, an alternative to the carcinogenic cadmium plating was prepared to study the kinetics of reducing elements Zinc, Nickel, and Hydrogen. A methodology to obtain electrochemical kinetic parameters i.e., exchange current density and cathodic transfer coefficient was demonstrated theoretically and experimentally for anomalous co-depositing multielement plating conditions. The kinetic parameters of Zn-Ni plating are very specific to electroplating solution, as the anomalous co-deposition of Zn and Ni either accelerates or retards each other’s deposition behaviour depending on applied potential, which renders standard values or conventional methods such as data optimization ineffective. A continuum-level FEM simulation based on secondary current distribution was performed to predict the plating thickness at a wide range of applied potentials and were found to be in good agreement with experimental results. The deposition behaviour of Zn and Ni align with the hydrogen suppression model, revealing zinc’s significantly higher exchange current density than nickel. The simulation model can effectively predict current density distribution and plating uniformity to explore electroplating of complex geometry in industrial scale while highlighting distinctions in thermodynamic and practical nobility of Zn and Ni for optimum plating composition.
一种确定锌镍多元素异常共沉积电化学动力学参数的方法
制备了一种替代致癌性镉镀层的锌镍合金,研究了还原性元素锌、镍和氢的动力学。从理论上和实验上论证了一种获取多元素异常共沉积条件下电化学动力学参数即交换电流密度和阴极传递系数的方法。Zn-Ni镀层的动力学参数对电镀溶液来说是非常特殊的,因为Zn和Ni的异常共沉积根据应用电位的不同会加速或阻碍彼此的沉积行为,这使得标准值或数据优化等传统方法无效。采用基于二次电流分布的连续级有限元模拟方法,对大范围电势下的镀层厚度进行了预测,结果与实验结果吻合较好。Zn和Ni的沉积行为符合氢抑制模型,表明锌的交换电流密度明显高于镍。该模拟模型可以有效预测电流密度分布和镀层均匀性,探索工业规模复杂几何形状的电镀,同时突出Zn和Ni在热力学和实用高贵方面的差异,以获得最佳镀层成分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Manufacturing Letters
Manufacturing Letters Engineering-Industrial and Manufacturing Engineering
CiteScore
4.20
自引率
5.10%
发文量
192
审稿时长
60 days
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