Nano-scale coating wear measurement by introducing Raman-sensing underlayer

• 作者: Nan Xu Chun Wang Liuquan Yang Eric Kumi Barimah Gin Jose Anne Neville Ardian Morina
• 来源期刊: 材料科学技术（英文版）
• 年，卷（期）: 2022,（1）
• 页码范围: 285-294
• 页数: 10页
• 语种: 英文

摘要

For gaining fundamental insight into coating wear mechanisms and increasing operational efficiency and automation degree of equipment in important application fields of coating techniques,it is of great im-portance to developing novel wear measurement techniques enabling nanoscale studies of coating wear in the running process,but this remains a significant challenge.Here,a facile strategy is reported to achieve accurate coating thickness quantification at nanoscale level,which is based on a bilayer structure:a top target layer of a-C:H (hydrogenated amorphous carbon) film is considered as a light attenuating and anti-wear layer while underlayer of silicon serves as Raman-sensing layer.Through constructing the re-lationship between the thickness of a-C:H and Raman intensity of attenuated silicon signal,the coating thickness quantification method is established and successfully applied to quantify coating wear in the friction process.This approach can effectively avoid remarkable errors caused by tribo-induced effects in the interface regions,demonstrating its advantage in error tolerance.Details about these tribo-induced ef-fects are also elucidated by a combination of Raman spectroscopy,optical profilometer,EELS,and TEM.In particular,the proposed approach enables the possibility of measuring coating wear with oil film on top,which breaks an important limitation of existed wear measurement methods,i.e.,incapable of applying in oil-lubricated conditions.This approach can be used to quantify the wear condition of diverse target coatings and has the potential of online wear monitoring when combining a compact laser excitation and detection system.