Thesis (MSc)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: Grain regression analysis forms an essential part of solid rocket motor simulation.
In this thesis a numerical grain regression analysis module is developed
as an alternative to cumbersome and time consuming analytical methods. The
surface regression is performed by the level-set method, a numerical interface
advancement scheme. A novel approach to the integration of the surface area
and volume of a numerical interface, as defined implicitly in a level-set framework,
by means of Monte-Carlo integration is proposed. The grain regression
module is directly coupled to a quasi -1D internal ballistics solver in an on-line
fashion, in order to take into account the effects of spatially varying burn rate
distributions. A multi-timescale approach is proposed for the direct coupling
of the two solvers. / AFRIKAANSE OPSOMMING: Gryn regressie analise vorm ’n integrale deel van soliede vuurpylmotor simulasie.
In hierdie tesis word ’n numeriese gryn regressie analise model, as ’n alternatief
tot dikwels omslagtige en tydrowende analitiese metodes, ontwikkel.
Die oppervlak regressie word deur die vlak-set metode, ’n numeriese koppelvlak
beweging skema uitgevoer. ’n Nuwe benadering tot die integrasie van die
buite-oppervlakte en volume van ’n implisiete numeriese koppelvlak in ’n vlakset
raamwerk, deur middel van Monte Carlo-integrasie word voorgestel. Die
gryn regressie model word direk en aanlyn aan ’n kwasi-1D interne ballistiek
model gekoppel, ten einde die uitwerking van ruimtelik-wisselende brand-koers
in ag te neem. ’n Multi-tydskaal benadering word voorgestel vir die direkte
koppeling van die twee modelle.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/86526 |
| Date | 04 1900 |
| Creators | Sullwald, Wichard |
| Contributors | Smit, G. J. F., Knoetze, J. H., Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences . |
| Publisher | Stellenbosch : Stellenbosch University |
| Source Sets | South African National ETD Portal |
| Language | en_ZA |
| Detected Language | Unknown |
| Type | Thesis |
| Format | 1 v. (various pagings) : ill. |
| Rights | Stellenbosch University |
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