Optimization method of global reactions kinetic parameters for kerosene combustion

Yi Gao, Yuqing Wang, Yajun Wang, Bin Liu, Fei Qin

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The accuracy of the global reactions in the simulation of turbulent combustion for air breathing ramjet is very important when predicting the performance of engine. A three-parameters optimization framework of global reactions is established based on adaptive moment estimation gradient descent optimization algorithm, and the ignition delay time of zero-dimensional constant volume reactor is used as the objective function of optimization. Based on this parameter optimization framework, the parameter optimization research of kerosene global reactions mechanism is carried out for the air breathing ramjet combustion chamber's working conditions. A new kerosene 10-step global reactions with a wide applicable range is obtained. The turbulent simulation study of ramjet combustor based on the optimized global reactions is carried out, and the results are compared with the detailed mechanism numerical calculation results and experimental results. The results show that the calculation accuracy of temperature, OH distribution and the integral results at characteristic section parameters based on optimized global reactions are improved. This research shows that this general parameter optimization framework can effectively and quickly optimize the three parameters of global reactions.

Original languageEnglish
Pages (from-to)62-72
Number of pages11
JournalAerospace Technology
Volume2022
Issue number4
DOIs
StatePublished - Aug 2022

Keywords

  • adaptive moment estimation
  • global reactions
  • ignition delay time
  • multi-parameter optimization
  • turbulent combustion

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