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Design and Optimization of Modular Solid Rocket Grain Matching Multi-Thrust Performance Curve

Research output: Contribution to journalArticlepeer-review

Abstract

Multi-thrust solid rocket motors are extensively used in tactical missiles. To effectively achieve the desired multi-thrust performance curve, firstly, the concept of modular grain is introduced. Star grain, slot grain, and end-burning grain are chosen as the fundamental templates, which can be flexibly combined to form an arbitrary multi-thrust performance curve. Secondly, a quadric approximation of the burning perimeter is derived, leading to the establishment of a governing equation for modular grain design. This equation ensures a close match between the resulting performance curve and the target one. Thirdly, the Nelder–Mead optimization algorithm is employed to maximize the propellant loading fraction and reduce the combustion chamber size. Finally, the method successfully produces single-thrust, dual-thrust, and triple-thrust grains. The results show that the relative maximum deviation between the designed and target pressure curves is less than 6.1%. Additionally, the best grain configuration is identified, which maximizes the propellant loading fraction while adhering to the throat-to-port ratio constraints. Consequently, the concept of modular grain offers a valuable approach for creating complex internal ballistic characteristics by combining simpler grain templates. This approach allows for fast, responsive motor conceptual design, prototyping, testing, and even production, thereby advancing the development of solid rocket motors in a more efficient and effective manner.

Original languageEnglish
Article number6827
JournalApplied Sciences (Switzerland)
Volume15
Issue number12
DOIs
StatePublished - Jun 2025

Keywords

  • burning surface regression
  • end-burning grain
  • modular grain
  • multi-thrust motor
  • performance matching
  • slot grain
  • solid rocket motor
  • star grain

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