Prediction Accuracy Improvement on Evaporation-Condensation Process Via a Temperature Deviation Based Dynamic Correction Model
35 Pages Posted: 11 Apr 2023
Abstract
Lee model has been commonly accepted for modelling the mass transfer processes subject to both evaporation or condensation. However, severe concern caused by improper setting of mass transfer relaxation coefficient exists for the high-accuracy prediction. The complicated influence factor and variable parameters result in the failure of definition on the mass transfer relaxation coefficient. In this paper, the temperature deviation based dynamic modification model to define the evaporation mass transfer relaxation coefficient (MTRC) is proposed. The hyperbolic tangent function is applied to describe the relationship between the evaporation MTRC and the product of temperature deviation and volume fraction. Result is compared with that obtained by common Lee model, showing better benchmark to experimental data. The model indicates better prediction accuracy at the evaporation section with the maximum relative error decrement by 44.74% and the average reduction by 14.26%, which could be attributed to the elimination of liquid temperature deviation. Note that the liquid temperature deviations are strictly restrained within acceptable range all the time with the dynamic correction model. Meanwhile, the proposed model is found to effectively save the computational time because of the quick match of the mass transfer rate impacted by the modified evaporation coefficient.
Keywords: evaporation coefficient, phase change model, temperature deviation, VOF
Suggested Citation: Suggested Citation