Modeling Mechanical Properties of Multilayer Coatings TiAlN

Author:

Kolesnikov Vladimir I.1,Suvorova Tatiana V.1,Belyak Olga A.1

Affiliation:

1. Rostov State Transport University

Abstract

The paper outlines two approaches (the ANSYS finite element modeling and the differential scheme of the self-consistency method) to model the mechanical properties of TiAlN multilayer coatings. To validate the experimental results, these findings were compared with the nanoindentation test results for single and multilayer coatings. This work has revealed the effect of Ti/Al ratio on the mechanical properties of multilayer coatings. The given approaches could be applied to calculate, with an acceptable margin of error, the mechanical properties of TiAlN multilayer coatings.

Publisher

Trans Tech Publications, Ltd.

Subject

Condensed Matter Physics,General Materials Science,Radiation

Reference20 articles.

1. V.I. Kolesnikov, O.V. Kudryakov, I.Y. Zabiyaka, E.S. Novikov, D.S. Manturov, Structural aspects of wear resistance of coatings produced by ion vapor deposition, Physical Mesomechanics. 23 (2020) 62-77.

2. D.A. Karpov, V.N. Litunovsky, Multilayer Nanostructures and Nanocomposites: a New Generation of Coatings for Modification of Surface Properties of Materials, Saint Petersburg, (2008).

3. F.V. Grigoriev, V.B. Sulimov, A.V. Tikhonravov, Effect nanoparticles on the structure of thin films: atomistic simulation results, Numerical Methods and Programming. 19 (2018) 173-177.

4. W. Tillmann, D. Grisales, D. Stangier, et al., Residual stresses and tribomechanical behaviour of TiAlN and TiAlCN monolayer and multilayer coatings by DCMS and HiPIMS, Surface and Coatings Technology. 406 (2021) 126664.

5. V. Moraes, H. Riedl, R. Rachbauer, et al., Thermal conductivity and mechanical properties of AlN-based thin films, J. Appl. Phys. 119 (2016) 225304.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of double layer protective coatings: Finite element modeling and machine learning approximations;Acta Astronautica;2023-03

2. Machine Learning-Based Predictive Modeling of Mechanical Properties of Coatings;Proceedings of the Sixth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’22);2022-10-31

3. Reverse Engineering of Mechanical and Tribological Properties of Coatings: Results of Machine Learning Algorithms;Physical Mesomechanics;2022-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3