• DocumentCode
    3027208
  • Title

    An Efficient Approach for Nozzle Rocket Thrust Estimation

  • Author

    Sribonfha, P. ; Sirisup, Sirod ; Chusilp, P. ; Kulsirikasem, W.

  • Author_Institution
    Nat. Electron. & Comput. Technol. Center, Large-Scale Simulation Res. Lab., Pathumthani, Thailand
  • fYear
    2012
  • fDate
    5-7 Dec. 2012
  • Firstpage
    17
  • Lastpage
    21
  • Abstract
    This paper investigates a new approach for efficiently calculating nozzle thrust based on a reduced order model formed by the proper orthogonal decomposition (POD) technique. The investigation has been done on the nozzle of MK66 rocket motor as a prototype problem. Here, the focus is on the thrust response in or near the design condition. It was found that the proposed method performs exceptionally well even with a few POD basis functions extracted from limited number of flow snapshots. Various interpolation techniques for estimating the dynamic of the reduced order model have been investigated as well. In the current study, the results suggested that there is no significant difference in the thrust estimation from those techniques.
  • Keywords
    confined flow; estimation theory; flow simulation; interpolation; nozzles; prototypes; reduced order systems; rocket engines; MK66 rocket motor nozzle; POD basis functions; POD technique; design condition; flow snapshots; interpolation techniques; nozzle rocket thrust estimation; proper orthogonal decomposition technique; prototype problem; reduced order model; thrust response; Computational fluid dynamics; Computational modeling; Estimation; Mathematical model; Reduced order systems; Rockets; nozzle flow; solid rocket motor; thrust simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering (CSE), 2012 IEEE 15th International Conference on
  • Conference_Location
    Nicosia
  • Print_ISBN
    978-1-4673-5165-2
  • Electronic_ISBN
    978-0-7695-4914-9
  • Type

    conf

  • DOI
    10.1109/ICCSE.2012.13
  • Filename
    6417269