Date of Award
3-26-2008
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
James W. Chrissis, PhD
Abstract
Fuel-air mixing analysis of scramjet aircraft is often performed through ex- perimental research or Computational Fluid Dynamics (cfd) algorithms. Design optimization with these approaches is often impossible under a limited budget due to their high cost per run. This investigation uses jetpen, a known inexpensive analysis tool, to build upon a previous case study of scramjet design optimization. Mixed Variable Pattern Search (mvps) is compared to evolutionary algorithms in the optimization of two scramjet designs. The ¯rst revisits the previously stud- ied approach and compares the quality of mvps to prior results. The second applies mvps to a new scramjet design in support of the Hypersonic International Flight Re- search Experimentation (hifire). The results demonstrate the superiority of mvps over evolutionary algorithms and paves the way for design optimization with more expensive approaches.
AFIT Designator
AFIT-GOR-ENS-08-19
DTIC Accession Number
ADA500329
Recommended Citation
Sparkman, Bryan, "Scramjet Fuel Injection Array Optimization Utilizing Mixed Variable Pattern Search with Kriging Surrogates" (2008). Theses and Dissertations. 2817.
https://scholar.afit.edu/etd/2817