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  • 标题:Internal Ballistic Code for Solid Rocket Motors using Minimum Distance Function for Grain Burnback
  • 本地全文:下载
  • 作者:Afroz Javed ; Iyer Arvind Sundaram ; Debasis Chakraborty
  • 期刊名称:Defence Science Journal
  • 印刷版ISSN:0976-464X
  • 出版年度:2015
  • 卷号:65
  • 期号:3
  • 页码:181-188
  • DOI:10.14429/dsj.65.8304
  • 语种:English
  • 出版社:Defence Scientific Information & Documentation Centre
  • 摘要:A computer code has been developed for internal ballistic performance evaluation of solid rocket motors, using minimum distance function (MDF) approach for prediction of geometry evolution. This method can handle any complex geometry without the need to define different geometrical shapes and their evolution as used in several existing analytical geometry evolution-based methodologies. The code is validated with both experimental results published in literature, as well as for solid rocket motors of tactical and strategic missiles and a very good match is obtained with static test results. The output of the code gives p-t (pressure-time) curve as well as the detailed parameters of the flow along the axial direction, and geometries in the form of mesh file, which can be further used as input to codes for CFD analysis. Defence Science Journal, Vol. 65, No. 3, May 2015, pp.181-188, DOI: http://dx.doi.org/10.14429/dsj.65.8304
  • 关键词:Internal ballistic, grain burnback, minimum distance function
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