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The trim air system is an important system for realizing the temperature control of the flight deck and passenger cabin of commercial aircraft. The trim air duct is designed to bleed the high-temperature air to mix the cold air from the upstream of the refrigeration components in order to satisfy the independent temperature requirements of each area of the flight deck and passenger cabin. If the cold air and hot air mixing situation was poor, downstream temperature sensor layout location there is still a more serious hot and cold air stratification, the measured value is more difficult to reflect the average temperature of the mixed air, thus affecting the accuracy of the air conditioning system temperature regulation. In order to improve the mixing efficiency of the trim hot bleed air and ventilation air, this paper proposes an optimized trim air injector based on typical configuration, then models and calculates two configurations of the trim injector using three-dimensional simulation to obtain the fluid flow and temperature distribution characteristics under different conditions. In this paper, the MAX temperature difference, the Surface standard deviation of temperature, the Surface uniformity of temperature and other parameters are also utilized to model and calculate the air flow and temperature distribution characteristics of the two configurations of the trim injector. The mixing effects of the two trim injectors were analyzed and evaluated. The results show that, after optimization, the radial high-speed thermal jet can effectively improve the perturbation and mixing between the hot and cold fluids after the hot bleed air passes through the inflow nozzle; compared with the typical configuration, the optimized configuration has a lower maximum temperature difference of about 67% and a lower standard deviation of temperature of 71% in each cross-section. The surface temperature uniformity coefficient of the optimized configuration is closer to 1 in each cross-section, and the temperature stratification effect and mixing effect are better than that of the typical configuration.

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Simulation of the Mixing Performance of an Optimized Air Injector

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Jiaqiang Xie,
  • Wei Kuang

摘要

The trim air system is an important system for realizing the temperature control of the flight deck and passenger cabin of commercial aircraft. The trim air duct is designed to bleed the high-temperature air to mix the cold air from the upstream of the refrigeration components in order to satisfy the independent temperature requirements of each area of the flight deck and passenger cabin. If the cold air and hot air mixing situation was poor, downstream temperature sensor layout location there is still a more serious hot and cold air stratification, the measured value is more difficult to reflect the average temperature of the mixed air, thus affecting the accuracy of the air conditioning system temperature regulation. In order to improve the mixing efficiency of the trim hot bleed air and ventilation air, this paper proposes an optimized trim air injector based on typical configuration, then models and calculates two configurations of the trim injector using three-dimensional simulation to obtain the fluid flow and temperature distribution characteristics under different conditions. In this paper, the MAX temperature difference, the Surface standard deviation of temperature, the Surface uniformity of temperature and other parameters are also utilized to model and calculate the air flow and temperature distribution characteristics of the two configurations of the trim injector. The mixing effects of the two trim injectors were analyzed and evaluated. The results show that, after optimization, the radial high-speed thermal jet can effectively improve the perturbation and mixing between the hot and cold fluids after the hot bleed air passes through the inflow nozzle; compared with the typical configuration, the optimized configuration has a lower maximum temperature difference of about 67% and a lower standard deviation of temperature of 71% in each cross-section. The surface temperature uniformity coefficient of the optimized configuration is closer to 1 in each cross-section, and the temperature stratification effect and mixing effect are better than that of the typical configuration.