Modeling meniscus rise in capillary tubes using fluid in rigid-body motion approach

Mohammad O. Hamdan, Bassam A. Abu-Nabah

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


In this study, a new term representing net flux rate of linear momentum is introduced to Lucas–Washburn equation. Following a fluid in rigid-body motion in modeling the meniscus rise in vertical capillary tubes transforms the nonlinear Lucas–Washburn equation to a linear mass-spring-damper system. The linear nature of mass-spring-damper system with constant coefficients offers a nondimensional analytical solution where meniscus dynamics are dictated by two parameters, namely the system damping ratio and its natural frequency. This connects the numerous fluid-surface interaction physical and geometrical properties to rather two nondimensional parameters, which capture the underlying physics of meniscus dynamics in three distinct cases, namely overdamped, critically damped, and underdamped systems. Based on experimental data available in the literature and the understanding meniscus dynamics, the proposed model brings a new approach of understanding the system initial conditions. Accordingly, a closed form relation is produced for the imbibition velocity, which equals half of the Bosanquet velocity divided by the damping ratio. The proposed general analytical model is ideal for overdamped and critically damped systems. While for underdamped systems, the solution shows fair agreement with experimental measurements once the effective viscosity is determined. Moreover, the presented model shows meniscus oscillations around equilibrium height occur if the damping ratio is less than one.

Original languageEnglish
Pages (from-to)449-460
Number of pages12
JournalCommunications in Nonlinear Science and Numerical Simulation
Publication statusPublished - Apr 2018
Externally publishedYes


  • Imbibition velocity
  • Meniscus dynamics
  • Meniscus rise
  • Vertical capillaries

ASJC Scopus subject areas

  • Numerical Analysis
  • Modelling and Simulation
  • Applied Mathematics


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