Void fraction is a critical parameter in gas–liquid two-phase flow. This study introduces a novel approach for predicting void fraction in vertical upward gas–liquid two-phase flow pipes, grounded in the principle of minimum entropy production. By integrating the energy contributions from pressure drop and surface tension into the classical minimum kinetic energy model, this method enhances the robustness of the minimum entropy production model. Leveraging extensive experimental data from vertical upward flow conditions, the proposed model was refined to develop a semi-empirical model, achieving an mean absolute percentage error of less than 20.4%. Furthermore, comparative analysis with existing prediction models demonstrated that the proposed model exhibits superior accuracy.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Semi-Empirical Model for Predicting Void Fraction of Dispersed Air–Water Flow in Vertical Upward Tubes Based on the Principle of Minimum Entropy Generation

  • Hao Liu,
  • Zaiyong Ma,
  • Luteng Zhang,
  • Kang Li,
  • Qiang Lian,
  • Zhiwen Peng,
  • Liangming Pan

摘要

Void fraction is a critical parameter in gas–liquid two-phase flow. This study introduces a novel approach for predicting void fraction in vertical upward gas–liquid two-phase flow pipes, grounded in the principle of minimum entropy production. By integrating the energy contributions from pressure drop and surface tension into the classical minimum kinetic energy model, this method enhances the robustness of the minimum entropy production model. Leveraging extensive experimental data from vertical upward flow conditions, the proposed model was refined to develop a semi-empirical model, achieving an mean absolute percentage error of less than 20.4%. Furthermore, comparative analysis with existing prediction models demonstrated that the proposed model exhibits superior accuracy.