计时安培法
介电谱
扫描电子显微镜
循环伏安法
线性扫描伏安法
分析化学(期刊)
化学
材料科学
Crystal(编程语言)
电化学
电极
有机化学
复合材料
物理化学
计算机科学
程序设计语言
作者
Zhaoshun Zuo,Wenzhong Yang,Kegui Zhang,Yun Chen,Meng Li,Yuwei Zuo,Xiaoshuang Yin,Ying Liu
标识
DOI:10.1016/j.jcis.2019.11.078
摘要
The deposition of CaCO3 scale in circulating cooling water on metal surface is a major concern in industry. This paper focuses on the feasibility of electrochemical methods to study the scale inhibition performance of 1-hydroxyethylidene-1,1-diphosphonic acid (HEDP) and 2-phosphonobutane-1,2,4-tricarboxylic acid (PBTCA), Polyacrylic Acid (PAA), including linear sweep voltammetry, chronoamperometry, and electrochemical impedance spectroscopy (EIS). In addition, the coverage, morphology and structure of deposited CaCO3 crystal on titanium alloy surface in the absence and presence of inhibitors were investigated by X-ray diffraction (XRD) and scanning electron microscopy (SEM). A new method for calculating the efficiency of scale inhibitors was proposed so that it can be calculated by using the change in residual current density (ir). In order to prove the feasibility and accuracy of such method, the efficiencies of inhibitors were evaluated using ir and charge transfer resistance (Rct), respectively. In addition, molecular dynamics (MD) simulations were performed to evaluate the interaction between the scale inhibitor molecule and the CaCO3 crystal. The experimental results show that both the residual current density obtained by chronoamperometry and the charge transfer resistance obtained by electrochemical impedance spectroscopy can be used to evaluate the efficiency of scale inhibitors, and there is high consistency from the calculation results. It is also confirmed by X-ray diffraction and scanning electron microscopy studies that the presence of inhibitor reduces the surface coverage of CaCO3 at metal electrode and that the crystal structure of CaCO3 is transformed from the original aragonite into the most unstable vaterite. The best inhibition efficiency of PBTCA for CaCO3 deposit is confirmed by the results of MD simulations.
科研通智能强力驱动
Strongly Powered by AbleSci AI