Dimensionless Number Analysis

Dimensionless Number Analysis is a methodological framework within the field of bioprocess engineering that utilizes dimensionless groups to characterize and scale-up physical processes by isolating the influence of system geometry, fluid properties, and operating conditions on process performance.

54

Publications

2.6K

Citations

148

Authors

67

Institutions

Publications per year

2017–2026

19

Authors

148

  1. AA
    Abdelsalam Al‐Sarkhi

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    2 publications · 46 citations

    2

    h-index

  2. DJ
    Dan J. Thoma

    Los Alamos National Laboratory, United States

    2 publications · 78 citations

    2

    h-index

  3. SY
    Shujian Yao

    Central South University, China

    2 publications · 71 citations

    2

    h-index

  4. FL
    Fangyun Lu

    National University of Defense Technology, China

    2 publications · 71 citations

    2

    h-index

  5. MP
    Mazdak Parsi

    University of Tulsa, United States

    2 publications · 35 citations

    2

    h-index

1–5 of 148

Venues

  1. AIChE Journal

    3 publications · 88 citations

    3

    h-index

  2. Journal of Fluid Mechanics

    3 publications · 132 citations

    3

    h-index

  3. Chemical Engineering Science

    3 publications · 195 citations

    3

    h-index

  4. Wear

    2 publications · 35 citations

    2

    h-index

  5. Society of Petroleum Engineers Journal

    SPEJ · 2 publications · 350 citations

    2

    h-index

1–5