Integrating Computational Modeling and Experiments for the Additive Manufacturing of Copper-Based Antibacterial Coatings on 304SS Surface

结合计算建模和实验方法,在304不锈钢表面增材制造铜基抗菌涂层

阅读:1

Abstract

The development of antibacterial coatings is very important for reducing pathogenic microorganisms on frequently touched surfaces. This study explores the formation of copper-based antibacterial coatings on 304 stainless steel using laser powder bed fusion (L-PBF) and integrates molecular dynamics (MD) simulations to analyze the melting and coalescence processes at the nanoscale. Experimental results showed heterogeneous copper distribution in the melting pool, with Cu-rich regions reaching up to 69 at. %. SEM-EDS analysis confirmed localized phase separation due to rapid solidification and Marangoni convection. MD simulations of Cu-304SS nanoparticles demonstrated significant copper surface segregation at 1600 K, validating experimental observations. The antibacterial efficacy of the coatings was assessed against Escherichia coli and Acinetobacter baumannii. Results showed complete bacterial inactivation within 1 h of exposure. These findings provide insights into optimizing L-PBF parameters for creating durable and efficient self-disinfecting surfaces.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。