EconPapers    
Economics at your fingertips  
 

Numerical Investigation of a Complete Scramjet Demonstrator Model for Experimental Testing Under Flight Conditions

Yann Simsont (), Peter Gerlinger and Manfred Aigner
Additional contact information
Yann Simsont: Universität Stuttgart, Institut für Verbrennungstechnik der Luft- und Raumfahrt
Peter Gerlinger: Universität Stuttgart, Institut für Verbrennungstechnik der Luft- und Raumfahrt
Manfred Aigner: Universität Stuttgart, Institut für Verbrennungstechnik der Luft- und Raumfahrt

A chapter in High Performance Computing in Science and Engineering ‘12, 2013, pp 175-186 from Springer

Abstract: Abstract In the present paper a complete scramjet demonstrator model for experimental testing at Mach 8 is investigated numerically using the scientific code TASCOM3D (Turbulent All Speed Combustion Multigrid Solver) on the HPC vector system NEC SX-9, installed at the High Performance Computing Center Stuttgart (HLRS). First the three-dimensional intake of the model is simulated. Then the results are used as inlet conditions for the simulation of the combustor, where hydrogen is injected by a lobed strut injector located in the middle of the diverging chamber. The test conditions, corresponding to a flight speed of Mach 8 at an altitude of 30 km, and the results of the simulations are discussed in detail, occurring difficulties are highlighted. In order to ensure self-ignition and prevent the flow from blockage, potential design changes are described and investigated in order to proof their functionality. Finally the performance of the reactive and non-reactive simulations on the NEC SX-9 is analyzed.

Keywords: Mach Number; Bottom Wall; Flame Spread; Reactive Simulation; Mach Number Distribution (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33374-3_15

Ordering information: This item can be ordered from
http://www.springer.com/9783642333743

DOI: 10.1007/978-3-642-33374-3_15

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-12-08
Handle: RePEc:spr:sprchp:978-3-642-33374-3_15