Computational analysis for rocket-based combined-cycle systems during rocket-only operation

Citation
Cj. Steffen et al., Computational analysis for rocket-based combined-cycle systems during rocket-only operation, J PROPUL P, 16(6), 2000, pp. 1030-1039
Citations number
28
Categorie Soggetti
Aereospace Engineering
Journal title
JOURNAL OF PROPULSION AND POWER
ISSN journal
07484658 → ACNP
Volume
16
Issue
6
Year of publication
2000
Pages
1030 - 1039
Database
ISI
SICI code
0748-4658(200011/12)16:6<1030:CAFRCS>2.0.ZU;2-D
Abstract
A series of Reynolds-averaged Navier-Stokes calculations were employed to s tudy the performance of rocket-based combined-cycle systems operating in an all-rocket mode. This parametric series of calculations were executed with in a statistical framework, commonly known as design of experiments, The pa rametric design space included four geometric and two flowfield variables s et at three levels each, for a total of 729 possible combinations, A D-opti mal design strategy was selected. It required that only 36 separate computa tional fluid dynamics (CFD) solutions be performed to develop a full respon se surface model, which quantified the linear, bilinear, and curvilinear ef fects of the six experimental variables. The axisymmetric, Reynolds-average d Navier-Stokes simulations were executed with the NPARC v3.0 code. The res ponse used in the statistical analysis was created from I-sp efficiency dat a integrated from the 36 CFD simulations. The influence of turbulence model ing was analyzed by using both one- and two-equation models. Careful attent ion was also given to quantify the influence of mesh dependence, iterative convergence, and artificial viscosity upon the resulting statistical model. Thirteen statistically significant effects were observed to have an influe nce on rocket-based combined-cycle nozzle performance. It was apparent that the free-expansion process, directly downstream of the rocket nozzle, can influence the I-sp efficiency. Numerical schlieren images and particle trac es have been used to further understand the physical phenomena behind sever al of the statistically significant results.