Structural evolution of oxygen on the surface of TiAlN: Ab initio molecular dynamics simulations

被引:25
作者
Guo, Fangyu [1 ,2 ]
Wang, Jianchuan [1 ]
Du, Yong [1 ]
Holec, David [2 ]
Ou, Pengfei [3 ]
Zhou, Hao [1 ]
Chen, Li [1 ]
Kong, Yi [1 ]
机构
[1] Cent S Univ, State Key Lab Powder Met, Changsha 410083, Hunan, Peoples R China
[2] Univ Leoben, Dept Mat Sci, A-8700 Leoben, Austria
[3] McGill Univ, Dept Min & Mat Engn, Montreal, PQ H3A 0C5, Canada
关键词
TiAlN; Oxidation; Hard coating; Ab initio molecular dynamics; TI-AL-N; OXIDATION BEHAVIOR; TI1-XALXN COATINGS; RESISTANCE; FILMS; TRANSITION; STABILITY; DIFFUSION; CORROSION;
D O I
10.1016/j.apsusc.2018.11.158
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
We have employed ab initio molecular dynamics simulations to study the oxidation behavior of TiAlN hard coatings as a function of Al content and temperature. Results show that for TiAlN with a low Al content (Ti0.75Al0.25N), Ti atoms can always bond with O atoms, while Al atoms bond with O only at a higher temperature. For Ti0.5Al0.5N, both Al and Ti can bond with O atoms, irrespective of temperature. Through analyzing the displacement height of O-bonded metal atoms, we suggest that titanium oxide nucleates at the outermost layer of Ti0.75Al0.25N while the outermost layer after Ti0.5Al0.5N is exposed to oxygen is aluminum oxide. Our simulation results predict, in agreement with experiment, that Ti0.5Al0.5N has superior oxidation resistance in comparison with Ti0.75Al0.25N. This study provides an atomistic insight to the initial stage of the oxidation process, which is else difficult to observe experimentally.
引用
收藏
页码:520 / 525
页数:6
相关论文
共 50 条
  • [11] Accelerating ab initio molecular dynamics simulations by linear prediction methods
    Herr, Jonathan D.
    Steele, Ryan P.
    CHEMICAL PHYSICS LETTERS, 2016, 661 : 42 - 47
  • [12] Hydration structure of As-III aqueous solutions from ab initio molecular dynamics simulations
    Borah, Sangkha
    Kumar, P. Padma
    JOURNAL OF MOLECULAR LIQUIDS, 2020, 318
  • [13] Electrochemical oxygen reduction reaction at conductive polymer PEDOT: Insight from ab initio molecular dynamics simulations
    Sarrami, Farzaneh
    Gueskine, Viktor
    Zozoulenko, Igor
    CHEMICAL PHYSICS, 2021, 551
  • [14] Towards solvation simulations with a combined ab initio molecular dynamics and molecular mechanics approach
    Woo, TK
    Blöchl, PE
    Ziegler, T
    JOURNAL OF MOLECULAR STRUCTURE-THEOCHEM, 2000, 506 : 313 - 334
  • [15] Insights into Spontaneous Solid Electrolyte Interphase Formation at Magnesium Metal Anode Surface from Ab Initio Molecular Dynamics Simulations
    Agarwal, Garvit
    Howard, Jason D.
    Prabhakaran, Venkateshkumar
    Johnson, Grant E.
    Murugesan, Vijayakumar
    Mueller, Karl T.
    Curtiss, Larry A.
    Assary, Rajeev S.
    ACS APPLIED MATERIALS & INTERFACES, 2021, 13 (32) : 38816 - 38825
  • [16] Ab initio molecular dynamics simulations of aluminum ion solvation in water clusters
    Lubin, MI
    Bylaska, EJ
    Weare, JH
    2000 INTERNATIONAL CONFERENCE ON MODELING AND SIMULATION OF MICROSYSTEMS, TECHNICAL PROCEEDINGS, 2000, : 91 - 94
  • [17] Thermochemical modelling and ab initio molecular dynamics simulations of calcium aluminate glasses
    Liska, Marek
    Machacek, Jan
    Perichta, Peter
    Gedeon, Ondrej
    Pilat, Jan
    CERAMICS-SILIKATY, 2008, 52 (02) : 61 - 65
  • [18] Simplified Ab Initio Molecular Dynamics-Based Raman Spectral Simulations
    Apra, Edoardo
    Bhattarai, Ashish
    Baxter, Eric
    Wang, ShanYi
    Johnson, Grant E.
    Govind, Niranjan
    El-Khoury, Patrick Z.
    APPLIED SPECTROSCOPY, 2020, 74 (11) : 1350 - 1357
  • [19] On the Use of Accelerated Molecular Dynamics to Enhance Configurational Sampling in Ab Initio Simulations
    Bucher, Denis
    Pierce, Levi C. T.
    McCammon, J. Andrew
    Markwick, Phineus R. L.
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2011, 7 (04) : 890 - 897
  • [20] Statistical variances of diffusional properties from ab initio molecular dynamics simulations
    He, Xingfeng
    Zhu, Yizhou
    Epstein, Alexander
    Mo, Yifei
    NPJ COMPUTATIONAL MATERIALS, 2018, 4