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饱和NaCl溶液中铝合金的腐蚀特性及腐蚀预测模型研究

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  • (南京工业大学环境科学与工程学院,江苏南京210009)
刘志英(1982-),博士,副教授,主要从事化工“三废”的治理及资源化领域的研究,电话:13913951547,E-mail:zhiying555@163.com

收稿日期: 2023-10-24

  修回日期: 2023-11-25

  录用日期: 2023-12-25

  网络出版日期: 2024-04-30

Corrosion Characteristics and Corrosion Prediction Model of Aluminum Alloys in Saturated NaCl Solution

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  • (School of Environmental Science and Engineering, Nanjing Tech University, Nanjing 210009, China)
LIU Zhiying(1982-), Ph.D., Associate Professor, Research Focus: The Treatment and Resource Utilization of Chemical “Three Wastes”, Tel.: 13913951547, E-mail: zhiying555@163.com

Received date: 2023-10-24

  Revised date: 2023-11-25

  Accepted date: 2023-12-25

  Online published: 2024-04-30

摘要

为探究饱和NaCl溶液环境下铝合金材料的腐蚀行为,筛选适用于此恶劣环境的材料,基于废盐精制回溶设备的实际工况,选取了2024、3003、5052、6061和7075 5种常见型号的铝合金材料,在饱和NaCl溶液中,于70,80,90,100,110℃下分别进行短期和长期的腐蚀试验。通过X射线衍射(XRD)、扫描电子显微镜(SEM)、能谱(EDS)等手段分析了其腐蚀形貌以及腐蚀产物。结果表明:6061铝合金无论在短期还是长期腐蚀中都表现出了优异的耐腐蚀性能,铝合金材料的腐蚀产物以Al2O3及Al(OH)3为主,腐蚀类型包括局部的点蚀和剥蚀。模拟预测发现,GM(1,1)模型可以很好地反映铝合金腐蚀过程的变化规律,并可以通过计算得到不同时间的腐蚀程度,达到风险预测的效果。

本文引用格式

殷至豪, 孙哲诚, 马正茁, 梁川, 李乾永, 徐炎华, 刘志英 . 饱和NaCl溶液中铝合金的腐蚀特性及腐蚀预测模型研究[J]. 材料保护, 2024 , 57(4) : 90 -105 . DOI: 10.16577/j.issn.1001-1560.2024.0082

Abstract

For investigating the corrosion behavior of aluminum alloy materials in saturated NaCl solution environment and selecting suitable materials for this harsh environment, based on the actual working conditions of industrial waste salt refining and recycling equipment, five common types of aluminum alloy materials of 2024, 3003, 5052, 6061 and 7075 were selected to carry out short-term and long-term corrosion experiments in saturated NaCl solution at 70 ℃, 80 ℃, 90 ℃, 100 ℃ and 110 ℃, respectively. The corrosion morphology and corrosion products were analyzed by X-ray diffraction(XRD), scanning electron microscopy(SEM), energy dispersive spectroscopy(EDS) and other methods. Results indicated that 6061 possessed excellent corrosion resistance in both short-term and long-term corrosion, the corrosion products of aluminum alloy materials were mainly Al2O3 and Al(OH)3, and the corrosion types included local pitting and denudation. Moreover, the simulation predictions revealed that GM(1,1) model could reflect the change law of the aluminum alloy corrosion process well, and the corrosion degree at different times could be calculated to achieve the effect of risk prediction.
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