Scholarlink

This paper presents a novel multi-species Enskog-Vlasov solver designed to simulate mixtures with different particle diameters and masses and their evaporation coefficients. Traditional combustion engines face efficiency deficits due to suboptimal two-phase mixing of liquid fuel droplets and air. Recent approaches suggest heating fuel droplets above their critical temperature to achieve single-phase mixing, but accurate evaporation coefficients for high-pressure and high-temperature conditions are lacking. The proposed solver closes the gap to other EV solvers which are only capable of solving single-species simulations or multi-species simulations with equal particle diameter and masses. The solver is validated against existing single-species solvers and SAFT-VRQ Mie model. The results show good agreement with reference data, demonstrating the solver’s capability to replicate multi-species simulations and determine evaporation and condensation coefficients.

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

Evaporation Simulations in High Pressure Environments with a Multi-species Enskog-Vlasov Solver

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

查看全文
  • Raphael Tietz,
  • Rolf Stierle,
  • Stefanos Fasoulas,
  • Marcel Pfeiffer

摘要

This paper presents a novel multi-species Enskog-Vlasov solver designed to simulate mixtures with different particle diameters and masses and their evaporation coefficients. Traditional combustion engines face efficiency deficits due to suboptimal two-phase mixing of liquid fuel droplets and air. Recent approaches suggest heating fuel droplets above their critical temperature to achieve single-phase mixing, but accurate evaporation coefficients for high-pressure and high-temperature conditions are lacking. The proposed solver closes the gap to other EV solvers which are only capable of solving single-species simulations or multi-species simulations with equal particle diameter and masses. The solver is validated against existing single-species solvers and SAFT-VRQ Mie model. The results show good agreement with reference data, demonstrating the solver’s capability to replicate multi-species simulations and determine evaporation and condensation coefficients.