Optimizing scramjet fuel injection array design Conference Paper uri icon


  • 1999, 35th Joint Propulsion Conference and Exhibit. All rights reserved. The analysis of fuel-air mixing in a scramjet is often accomplished either with computational fluid dynamics (CFD) algorithms or through experimental research. These approaches, while accurate and reliable, are extremely expensive and thus not well-suited for use with conventional design optimization methods. In this investigation, JETPEN is used to significantly reduce the number of complex, expensive analyses required to optimize the design of a scramjet fuel injection array. A design problem formulation for a lateral transverse injection array is developed and a design optimization is conducted In two stages. Initially, a parametric analysis is conducted to explore the design region; next an optimal design is found using both Sequential Quadratic Programming and a Genetic Algorithm. It is shown that a micro-Genetic Algorithm locates a near-optimal design in only 159 function evaluations.

published proceedings

  • 35th Joint Propulsion Conference and Exhibit

author list (cited authors)

  • Payne, M. D., Chrissis, J. W., Pohl, E. A., Bowersox, R., Gruber, M. R., & Fuller, R. P.

complete list of authors

  • Payne, MD||Chrissis, JW||Pohl, EA||Bowersox, RDW||Gruber, MR||Fuller, RP

publication date

  • January 1999