Cleaning Parameter Optimization

Cleaning Parameter Optimization is a methodological framework within the field of mechanical cleaning that systematically determines the optimal values of operational variables—such as pressure, temperature, duration, and flow rate—to maximize cleaning efficiency and effectiveness while minimizing resource consumption and equipment wear.

36

Publications

1.2K

Citations

139

Authors

48

Institutions

Publications per year

2017–2026

19

Authors

139

  1. DW
    D.I. Wilson

    University of Cambridge, United Kingdom

    2 publications · 86 citations

    2

    h-index

  2. TS
    TaeWon Seo

    Seoul National University, South Korea

    2 publications · 28 citations

    2

    h-index

  3. CT
    Chuen‐Jinn Tsai

    National Yang Ming Chiao Tung University, Taiwan

    2 publications · 77 citations

    2

    h-index

  4. SE
    Salaheldin Elkatatny

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    1 publications · 31 citations

    1

    h-index

  5. JH
    Jooyoung Hong

    Kyonggi University, South Korea

    1 publications · 15 citations

    1

    h-index

1–5 of 139

Venues

  1. Desalination

    2 publications · 39 citations

    2

    h-index

  2. Journal of Cleaner Production

    2 publications · 41 citations

    2

    h-index

  3. Powder Technology

    2 publications · 44 citations

    2

    h-index

  4. Energy Conversion and Management

    1 publications · 20 citations

    1

    h-index

  5. PLoS ONE

    1 publications · 13 citations

    1

    h-index

1–5