Dynamic correction on condensation time relaxation coefficient of Lee model based on mass conservation mechanism

Lee model is commonly accepted for modelling the mass transfer processes subject to both evaporation or condensation. However, the mass loss or mass excess always exist due to the mismatch of condensation and evaporation coefficients. Rare study focused on the proper ratio of them in closed systems. In present study, a dynamic correction model (named mass-conservation model) against to the condensation time relaxation coef-ficient is proposed, which can adjust the condensation coefficient in each time step considering the mass con-servation between the initial state and the current state. Three typical closed structures are introduced for model validation in which severe mass loss and temperature prediction deviation are recognized. Result shows that the mass variation calculated by present dynamic correction model is less than 0.5% while the maximum mass loss with other models could reach 48.31%. Meanwhile, the prediction error of the three Cases calculated with the present model is the smallest, with the maximum decrement of 29.73% compared with other models. It is also realized that the insufficient heat release and the mass non-conservation are the key factor resulting in the temperature prediction deviation, which is well solved by present correction model on condensation time relaxation coefficient.

Automated summary

The Lee model is widely accepted for simulating mass transfer processes involving both evaporation and condensation. However, there is always a mismatch in condensation and evaporation coefficients, resulting in mass loss or excess. This study introduces a dynamic correction model called the mass-conservation model, which adjusts the condensation coefficient in each time step to ensure mass conservation. Validation of the model using three closed structures reveals significant mass loss and temperature prediction deviation in other models, while the present model shows improved accuracy and solves the issue of temperature prediction deviation caused by insufficient heat release and mass non-conservation through the correction of the condensation time relaxation coefficient.