4.7 Article

Enhanced corrosion and wear resistance properties of carbon fiber reinforced Ni-based composite coating by laser cladding

期刊

SURFACE & COATINGS TECHNOLOGY
卷 334, 期 -, 页码 274-285

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.surfcoat.2017.11.051

关键词

Laser cladding (LC); Carbon fibers; Nickel based coating; Electrochemical corrosion; Wear mechanisms

资金

  1. National Natural Science Foundation of China [61475117, 51471084]
  2. Applied Basic Research and Development Project of Tianjin City [12JCQNJC02800]
  3. Key Technology R & D Program of Tianjin City [13ZCZDGX01109]
  4. Foundation of Civil Aviation University of China [2014TJPUJG]
  5. Science and Development Foundation of Higher Education Institutions of Tianjin City [20120631]
  6. Outstanding Youth Foundation of Jiangxi Province [20162BCB23039]

向作者/读者索取更多资源

To enhance the wear resistance and corrosion resistance of Ni-based coatings, carbon fibers reinforced nickel based composite coatings (CFs/Ni) were fabricated on the surface of 1Cr13 stainless steel by laser cladding (LC). The microstructure characteristics, microhardness, wear and corrosion performances of the composite coatings were investigated. The results show that CFs can effectively improve the corrosion and wear resistances of Ni-based coatings. With increasing laser scanning speed, the morphology of CFs in composite coatings is more integral and the corrosion and wear resistances of the composite coatings are improved. Especially, when laser scanning speed is increased to 8 mm/s, the average microhardness of the composite coating reaches up to 405 HV0.2, which is about 1.3 times higher than that of Ni-based coating. Moreover, the corrosion current density and the wear rate of the composite coating are only 7% and 55% of those of the Ni-based coating, respectively, which is attributed to the good properties and homogeneous distribution of CFs and finer microstructure of composite coating.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据