位置:成果数据库 > 期刊 > 期刊详情页
神经网络在海水腐蚀预测中的应用
  • 期刊名称:装备环境工程. 2007, 4(3):85
  • 时间:0
  • 分类:TG142[金属学及工艺—金属材料;一般工业技术—材料科学与工程;金属学及工艺—金属学]
  • 作者机构:[1]中国科学院金属研究所金属腐蚀与防护国家重点实验室,沈阳110016
  • 相关基金:国家自然科学基金项目50499336和50971120资助
  • 相关项目:自然环境腐蚀相关的若干基础性问题的研究
中文摘要:

根据Mn—Cu耐候钢大气腐蚀锈层的研究进展,总结了低合金钢锈蚀的增重和腐蚀速率、锈层的组成和截面形貌等多个因素随干湿循环次数变化的演化规律,阐述了所建立的室内干湿循环模拟大气腐蚀加速实验方法的合理性.论述了以Cu,Mn和P为合金元素协同提高钢腐蚀锈层的耐海岸大气和工业酸雨大气腐蚀的原理,介绍了MnCu钢锈层的离子选择特性与结构关系的理论以及P在锈层中的作用机制.

英文摘要:

The rust evolutions of the corrosion mass gain, the corrosion rate, the chemical composition, and the cross-section of the rust layer versus cycles of dry/wet alternate corrosion test were summarized on the basis of the study progress on the rust layer of Mn-Cu weathering steel. The validity of the cyclic dry/wet corrosion acceleration test simulating the atmospheric corrosion has also been discussed. Moreover, we have described the principle of synergistically improving the corrosion resistance of the rust layer resisting to both coastal atmospheric corrosion and industrial acidic rain atmospheric corrosion through adding alloying elements Cu, Mn and P. Meanwhile, the mechanism of P in the rust layer and the relationship of the ion-selectivity of Mn Cu steel rust layer and its structure have been discussed.

同期刊论文项目
同项目期刊论文