2015
DOI: 10.1016/j.ast.2014.11.015
|View full text |Cite
|
Sign up to set email alerts
|

Liquefying fuel regression rate modeling in hybrid propulsion

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
11
0
1

Year Published

2016
2016
2021
2021

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 29 publications
(18 citation statements)
references
References 6 publications
0
11
0
1
Order By: Relevance
“…The injection subsystem (3) deals with the axial and tangential oxidizer injectors. Both the total oxidizer mass flow rate and the effective swirl number have been defined previously by Equations (4) and (6) and these definitions are used for the simulations. The total oxidizer mass flow rate is the sum of the axial and tangential oxidizer mass flow rates, and the effective swirl number depends on the geometric swirl number.…”
Section: Simplified Modeling Of A-soft Engines For Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The injection subsystem (3) deals with the axial and tangential oxidizer injectors. Both the total oxidizer mass flow rate and the effective swirl number have been defined previously by Equations (4) and (6) and these definitions are used for the simulations. The total oxidizer mass flow rate is the sum of the axial and tangential oxidizer mass flow rates, and the effective swirl number depends on the geometric swirl number.…”
Section: Simplified Modeling Of A-soft Engines For Simulationsmentioning
confidence: 99%
“…These fundamental issues have been investigated and solutions do exist depending on the mission and engine configuration. Although a low regression rate may be interesting for long duration and low thrust missions, a higher regression rate can be obtained by using liquefying fuels [3,4]. By increasing the residence time of propellants and improving their mixing, swirl oxidizer injection enhances the combustion efficiency making the hybrid engine competitive regarding that aspect [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…It follows that _ m end ∕ _ m ini 0.998 ≈ 1. Supposing that the k Ross ratio is constant during the firing test finally leads to (13) where f end ∕f ini 0.93 and predicts a frequency decrease of 7% (30 Hz). This value is closer than the one predicted with Eq.…”
Section: Stability Analysismentioning
confidence: 99%
“…Liquefying fuels are investigated because they can provide higher regression rates and thrust than classical fuels [10][11][12]. Lestrade [13,14] has developed an experimental facility to validate a one-dimensional numerical code for the liquefying fuel regression rates evaluation in hybrid rocket motors. The motor is classically composed of an injector, a prechamber including an igniter, a combustion chamber, a postcombustion chamber, and a nozzle.…”
Section: Introductionmentioning
confidence: 99%
“…[6][7][8] Finally, appropriate models are available for predicting the regression rate of classical or liquefying fuels. 9 Nammo Raufoss has also developed a know-how of more than 10 years on hybrid propulsion. Nammo initiated in 2003 an in-house technology program to study hybrid rocket technology and made its first static 10,11 More recently, Nammo has worked on the development of a hybrid rocket engine for a lander application 12 and on the large thrust hybrid propulsion demonstrator within the ESA FLPP program.…”
Section: Introductionmentioning
confidence: 98%