Burning-Rate Coefficients in Solid Propellants: Modeling, Estimation, Stability and Numerical Illustration

Authors

  • Manuel J Alves Department of Mathematics and Informatics Faculty of Sciences, Eduardo Mondlane University, Maputo, Mozambique. Author
  • Elena V Molchanova Alves Department of Quantitative Methods, ISCTEM, Maputo, Mozambique. Author

DOI:

https://doi.org/10.47363/JPMA/2026(4)161

Keywords:

Solid-Propellant, Burning-Rate Law, Saint Robert– Vieille Law, Parameter Estimation, Delay Differential Equations, Thermal Memory, Lyapunov–Krasovskii Stability, Combustion Instability

Abstract

The burning-rate law is a central empirical and mathematical relation in the modelling of solid-propellant combustion. In its classical Saint Robert–Vieille form, it is written as r = aPn, where r is the linear burning rate, P is pressure, a is the burning-rate coefficient and n is the pressure exponent. This revised manuscript develops a coherent mathematical framework for estimating a and n, quantifying uncertainty, and embedding the fitted coefficients into nonstationary pressure dynamics. The model is extended to include thermal memory through discrete-delay and distributed-memory functional differential equations. Existence, uniqueness, positivity, continuous dependence, local and global stability, delay thresholds and Lyapunov–Krasovskii stability are stated as formal results. Each theorem is accompanied by a numerical illustration with clear colour graphics, including pressure-response curves, stability surfaces, kernel effects and Lyapunov decay. The numerical section is written in a MATLAB/Python style so that the simulations can be reproduced without relying on propellant formulation or manufacturing details. The paper remains mathematical and modelling-oriented; it does not provide operational design instructions.

Author Biographies

  • Manuel J Alves, Department of Mathematics and Informatics Faculty of Sciences, Eduardo Mondlane University, Maputo, Mozambique.

    Manuel J Alves, Department of Mathematics and Informatics Faculty of Sciences, Eduardo Mondlane University, Maputo, Mozambique.

  • Elena V Molchanova Alves, Department of Quantitative Methods, ISCTEM, Maputo, Mozambique.

    Elena V Molchanova Alves, Department of Quantitative Methods, ISCTEM, Maputo, Mozambique.

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Published

2026-07-03