...
首页> 外文期刊>Advanced Material Science >Modeling and simulation of electrodeposition: effect of electrolyte current density and conductivity on electroplating thickness
【24h】

Modeling and simulation of electrodeposition: effect of electrolyte current density and conductivity on electroplating thickness

机译:电沉积的建模和仿真:电解质电流密度和电导率对电镀厚度的影响

获取原文
           

摘要

Electroplating or electrodeposition is a process carried out in an electrochemical cell where a current is used to form a coating on a metal surface. Developing and optimizing conditions for electroplating is time consuming and modeling and simulation could be used to optimize the electrodeposition process. Electrolyte current density and conductivity are important parameters for an electrodeposition system as they dictate the overall efficiency of flow of ions in the electrolyte system and thus optimization of these parameters is necessary. In this manuscript we report the development of a mathematical model to predict the electrodeposition of copper on cobalt chrome alloy in an electrochemical cell with copper and cobalt chrome alloy as the electrodes and copper sulfate as the electrolyte. The developed model was validated using experiments. The coating thickness of the samples was characterized using scanning electron microscope (SEM) and a thickness gage. At 30 min the model predicted the copper thickness to be 11.7 μm while experimentally the coating thickness was found to be 9.445+/-1.79 (mean +/- SD) using SEM and 12.375+/-1.36 (mean +/- SD) using thickness gauge. When predicting effect of current density the model accurately predicts general trends however the model seems to vary from experimental values in regions where there is significant effect of the electrochemical double layer that the model does not account for. The model accurately predicts the trend of effect of electrolyte conductivity on coating formation. The model can thus be used as a starting point to predict effect of process parameters on electrodeposition thickness.
机译:电镀或电沉积是在电化学电池中进行的过程,其中使用电流在金属表面上形成涂层。开发和优化电镀条件非常耗时,可以使用建模和仿真来优化电镀工艺。电解质电流密度和电导率是电沉积系统的重要参数,因为它们决定了电解质系统中离子流的总体效率,因此必须优化这些参数。在本手稿中,我们报告了一种数学模型的开发,该数学模型可预测以铜和钴铬合金为电极并以硫酸铜为电解质的电化学电池中钴铬合金上铜的电沉积。使用实验验证了开发的模型。使用扫描电子显微镜(SEM)和测厚仪对样品的涂层厚度进行表征。该模型在30分钟时预测铜厚度为11.7μm,而使用SEM实验发现涂层厚度为9.445 +/- 1.79(平均值+/- SD),使用SEM发现涂层厚度为12.375 +/- 1.36(平均值+/- SD)。厚度计。当预测电流密度的影响时,该模型可以准确地预测总体趋势,但是该模型似乎与实验值有所不同,在该区域中,电化学双电层的重要影响是模型无法解释的。该模型可准确预测电解质电导率对涂层形成的影响趋势。该模型因此可以用作预测工艺参数对电沉积厚度影响的起点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号