首页> 外文会议>OMAE2010;International conference on ocean, offshore and arctic engineering >SYNERGISTIC EFFECT OF SEAWATER ENVIRONMENTAL FACTORS ON CARBON STEEL CORROSION RATE
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SYNERGISTIC EFFECT OF SEAWATER ENVIRONMENTAL FACTORS ON CARBON STEEL CORROSION RATE

机译:海水环境因子对碳钢腐蚀速率的协同作用。

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Seawater is an aggressive, very corrosive, complex composition of different minerals covering about 70% of the earth's surface that affects nearly all structural materials to some extent. Since seawater is a complex solution of many salts with various levels of physical and chemical parameters, the individual effect of each factor affecting the corrosion behavior is not readily separated, as is the case for a simple salt solution and an alteration in one may affect the relative effect magnitude of others, which illustrates the importance of synergistic analysis of dominant parameters. The synergistic effect of environmental factors on corrosion rate of carbon steel (AISI 1045) has been assessed in aerated synthetic seawater, using potentiodynamic polarization scan. The major environmental parameters considered are salinity, velocity, pH and temperature. A quantitative full two-level factorial experimental design method was applied to study the individual contribution percentage of each parameter on changing the average value of corrosion rate, as well as their interactive contributions. Because of the significant weakness of quantitative analysis in description and justification of variation direction the qualitative analysis has been assessed. The results show that the most contribution factor obtained by quantitative analysis is not always the most effective one obtained by qualitative analysis.
机译:海水是一种侵蚀性强,腐蚀性很强的,由各种矿物组成的复杂成分,其覆盖地球表面的约70%,在一定程度上影响几乎所有结构材料。由于海水是由许多盐组成的复杂溶液,其物理和化学参数各不相同,因此影响腐蚀行为的各个因素的单独作用难以分开,就像简单的盐溶液一样,改变盐溶液可能会影响盐溶液的腐蚀。其他因素的相对影响幅度,这说明了对主导参数进行协同分析的重要性。使用电位极化扫描,在充气合成海水中评估了环境因素对碳钢腐蚀速率(AISI 1045)的协同作用。考虑的主要环境参数是盐度,速度,pH和温度。采用定量全二级因子实验设计方法研究了每个参数在改变腐蚀速率平均值时各自的贡献率以及它们的交互作用。由于定量分析在描述和变化方向的合理性方面存在重大缺陷,因此对定性分析进行了评估。结果表明,定量分析获得的最大贡献因子并不总是定性分析获得的最有效因子。

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