Low-fidelity modelling for aerodynamic characteristics of re-entry objects

Benedetti, Gianluca and Viola, Nicole and Minisci, Edmondo and Falchi, Alessandro and Vasile, Massimiliano; Vasile, Massimiliano and Minisci, Edmondo and Summerer, Leopold and Mcginty, Peter, eds. (2018) Low-fidelity modelling for aerodynamic characteristics of re-entry objects. In: Stardust Final Conference. Astrophysics and Space Science Proceedings . Springer Netherlands, Cham, pp. 247-264. ISBN 978-3-319-69956-1 (https://doi.org/10.1007/978-3-319-69956-1_15)

Abstract

This work presents the principal improvements and results of the Free Open Source Tool for Re-Entry of Asteroids and Debris aerodynamic module. The aerodynamic routines are based on the hypersonic local panel formulations, and several innovations to improve performances, in terms of computational time and accuracy across the hypersonic flow regime for re-entry of space vehicles and objects, have been introduced in the new version. A graphic-based preprocessing phase to reduce the computational time has been introduced and tested. New bridging functions, based on logistic regression model, aiming at providing a better estimate of aerodynamic outputs in the transitional flow regime have been introduced. The routines have been validated on different test cases, such as: spheres, STS orbiter, Orion capsule and ESA’s IXV. In addition, the tool has been applied to perform the aerodynamic analyses of the cFASTT-1 spaceplane conceptual model and to compute the aerodynamics of GOCE during its re-entry phase. GOCE aerodynamic results have also been compared to DSMC high-fidelity simulations.

ORCID iDs

Minisci, Edmondo ORCID: https://orcid.org/0000-0001-9951-8528

Falchi, Alessandro ORCID: https://orcid.org/0000-0002-7452-5729

Vasile, Massimiliano ORCID: https://orcid.org/0000-0001-8302-6465

• Share and Export
  

  RDF+XMLBibTeXRIOXX2 XMLRDF+N-TriplesJSONDublin CoreAtomSimple MetadataReferMETSHTML CitationASCII CitationOpenURL ContextObjectEndNoteOpenURL ContextObject in SpanMODSMPEG-21 DIDLEP3 XMLData Cite XMLRIS (EndNote Online, Zotero, Ref manager, etc)RDF+N3Multiline CSV
• Item metadata

  Item type:	Book Section
  ID code:	63525
  Dates:	Date Event 1 April 2018 Published
  Subjects:	Technology > Motor vehicles. Aeronautics. Astronautics Technology > Mechanical engineering and machinery
  Department:	Faculty of Engineering > Mechanical and Aerospace Engineering
  Depositing user:	Pure Administrator
  Date deposited:	21 Mar 2018 16:22
  Last modified:	11 Nov 2024 15:13
  Related URLs:	Scopus publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/63525