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Related Experiment Video

Updated: Feb 5, 2026

Measurement of Leaf Hydraulic Conductance and Stomatal Conductance and Their Responses to Irradiance and Dehydration Using the Evaporative Flux Method EFM
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Evaporation Mass Flux: A Predictive Model and Experiments.

Parham Jafari1, Ali Masoudi1, Peyman Irajizad1

  • 1Department of Mechanical Engineering , University of Houston , 4726 Calhoun Rd , Houston , Texas 77204-4006 , United States.

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Summary

A new predictive model for evaporation, based on nonequilibrium thermodynamics, eliminates fitting parameters. This breakthrough accurately predicts evaporation mass flux using only interfacial temperatures and vapor pressure.

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Area of Science:

  • Thermodynamics
  • Fluid Dynamics
  • Phase Change Phenomena

Background:

  • Evaporation is crucial across diverse fields like power generation, desalination, and biosciences.
  • Existing evaporation theories lack accuracy due to empirical fitting coefficients with wide variations.
  • This deficiency hinders precise simulation and prediction in critical engineering and scientific systems.

Purpose of the Study:

  • To develop a physically-based, predictive model for planar liquid-vapor interface evaporation.
  • To overcome limitations of current models by removing empirical fitting parameters.
  • To establish a foundation for accurate modeling of phase change processes.

Main Methods:

  • Utilized a custom-designed, automated experimental setup for controlled evaporation studies.
  • Accurately measured thermodynamic properties in liquid, vapor, and near-interfacial regions.
  • Analyzed data across a range of evaporation mass fluxes to derive model parameters.

Main Results:

  • Developed a predictive evaporation model grounded in nonequilibrium thermodynamics.
  • The model requires only interfacial liquid and vapor temperatures and vapor pressure as inputs.
  • Achieved accurate prediction of evaporation mass flux without any fitting coefficients.

Conclusions:

  • The developed model offers a significant advancement in understanding and predicting evaporation.
  • Validated against independent research, demonstrating its robustness and general applicability.
  • Provides a foundational tool for diverse applications involving liquid-vapor phase change.