Skip to main navigation Skip to search Skip to main content

Parameter optimization and simulation of lean-burn gas generator

  • Bo Wei Jiao
  • , Nan Jia Yu
  • , Chuang Zhou*
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalConference articlepeer-review

Abstract

The pre-cooling engine cools the incoming air through a pre-cooler and then makes it enter the subsequent components to work. This type of engine is one of the most important development directions in the combined power scheme. In order to accurately control the lean-burn gas temperature and oxygen concentration under different incoming flow conditions, and adjust it through the nitrogen-to-hydrogen ratio (GNGH) and oxygen-to-hydrogen ratio (GOGH). The oxygen concentration and temperature were obtained by thermal calculation and the optimal nitrogen-hydrogen ratio and oxygen-hydrogen ratio were optimized by genetic algorithm. Finally, the sensitivity analysis of the influence of nitrogen-hydrogen ratio and oxygen-hydrogen ratio on temperature and oxygen concentration was performed near the optimal point. According to the research, when α (weight coefficient) is determined, as the height increases, GNGH and GOGH decreases, and the amount of hydrogen required increases. When α > 1, the temperature term plays a major role in the optimization result. When α < 0.01, the oxygen concentration term plays a major role in the optimization result. When 0.01 < α < 1, the temperature term and oxygen concentration term are considered to have an effect on the optimization result at the same time. For the sensitivity analysis of the nitrogen-hydrogen ratio, oxygen-hydrogen ratio, temperature and oxygen concentration under different working conditions, accurate numerical results have also been obtained.

Original languageEnglish
Article number012080
JournalJournal of Physics: Conference Series
Volume2235
Issue number1
DOIs
StatePublished - 17 May 2022
Event12th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2021 - Virtual, Online
Duration: 29 Dec 202131 Dec 2021

Fingerprint

Dive into the research topics of 'Parameter optimization and simulation of lean-burn gas generator'. Together they form a unique fingerprint.

Cite this