Application of genetic algorithm in calculation of combustion equilibrium composition

Zhong Yuan Xie, Lin Zhou*, Hao Wang, Shou Dian Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Genetic algorithm for the calculation of combustion equilibrium composition was proposed based on the principles of chemical equilibrium and the method of minimum free energy. By determining the independent variables and its range, the fitness function was confirmed. To validate the accuracy of the genetic algorithm, the calculation results were compared with the data from references experiment. Results show that the calculation values agree well with the reference data with error less than 1% and 1.5% for combustion equilibrium composition and combustion temperature of negative-oxygen compounds, and less than 7.7% and 5% for that of oxygen-enriched compounds. And the theoretic calculations are well coincident with those obtained by tests of hydroxyl-terminated polybutadiene solid Propellants. The maximum error between them is 4.27%, which demonstrates that the genetic algorithm can be used in compound design, performance prediction and combustion products confirming.

Original languageEnglish
Pages (from-to)340-345
Number of pages6
JournalHanneng Cailiao/Chinese Journal of Energetic Materials
Volume23
Issue number4
DOIs
Publication statusPublished - 25 Apr 2015

Keywords

  • Combustion
  • Equilibrium composition
  • Genetic algorithm
  • Minimum free energy

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