Computational Lubrication Analysis

Computational Lubrication Analysis is a systematic computational methodology within the field of tribology that employs numerical simulations and mathematical models to predict and evaluate the behavior of lubricants and lubrication mechanisms in engine systems under varying operational conditions.

428

Publications

16.1K

Citations

1.2K

Authors

413

Institutions

Publications per year

2017–2026

140

Authors

1.2K

  1. XM
    Xianghui Meng

    Shanghai Jiao Tong University, China

    13 publications · 405 citations

    12

    h-index

  2. DD
    D. Dowson

    University of Leeds, United Kingdom

    11 publications · 852 citations

    11

    h-index

  3. ZJ
    Zhongmin Jin

    University of Leeds, United Kingdom

    9 publications · 391 citations

    9

    h-index

  4. ZM
    Z M Jin

    University of Bradford, United Kingdom

    7 publications · 287 citations

    7

    h-index

  5. AL
    A.A. Lubrecht

    Centre National de la Recherche Scientifique, France

    7 publications · 487 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. Tribology International

    82 publications · 3.2K citations

    34

    h-index

  2. Journal of Tribology

    52 publications · 2.8K citations

    29

    h-index

  3. 15

    h-index

  4. Wear

    18 publications · 528 citations

    14

    h-index

  5. 14

    h-index

1–5