journal article·2019-02-01Open access

Investigation of the tribological behavior of chromium aluminum silicon nitride coatings via both scratch sliding test and FEM simulation

Zhitong Chen, Guangjian Peng, Peijian Chen, Yuan Xia, Guang Li

AIP Advances· Volume 9· Issue 2

Abstract

The finite element method (FEM) and scratch sliding test were combined to investigate the tribological behaviors of Chromium Aluminum Silicon Nitride (CrAlSiN) coatings with various Si contents. The tribological behavior was evaluated through sliding tests using a conventional ball-on-disc wear apparatus. It was found that the coefficient of friction (COF) of CrAlSiN was lower than CrAlN coating and it reached a minimum value of 0.56 for CrAlSi3.7N. Energy-dispersive Scanning Electron Microscopy (SEM) with X-ray spectroscopy (EDX) was employed to reveal the compositions of wear debris formed during the scratch sliding experiments. As a reasonable approximation, a static condition was applied, and the scratch behavior was modeled by a sphere indenter scratching on a thin coating coated on a thick substrate. A three-dimensional finite element model was constructed with the help of the ABAQUS to describe the mechanical response during scratch.
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Research context

OpenAlex topics: Metal and Thin Film Mechanics · Diamond and Carbon-based Materials Research · Boron and Carbon Nanomaterials Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Mechanics, Chinese Academy of Sciences 1 , Beijing 100190, China

University of Chinese Academy of Sciences 2 , Beijing 100049, China

Department of Mechanical and Aerospace Engineering, George Washington University 3 , Washington, DC 20052, USA

College of Mechanical Engineering, Zhejiang University of Technology 4 , Hangzhou 310014, China

State Key Laboratory for Geomechanics and Deep Underground Engineering, School of Mechanics and Civil Engineering, China University of Mining and Technology 5 , Xuzhou 221116, China

Funding

National Natural Science Foundation of China · Zhejiang Province Public Welfare Technology Application Research Project

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