A diffuse interface method for solid-phase modeling of regression behavior in solid composite propellants
A diffuse interface method for solid-phase modeling of regression behavior in solid composite propellants
复制标题
固体复合推进剂回归行为固相建模的扩散界面方法
DOI:
10.1016/j.combustflame.2022.112219
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发表时间:
2022
影响因子:
4.4
通讯作者:
Runnels, Brandon
中科院分区:
文献类型:
--
作者:
Kanagarajan, Baburaj;Quinlan, John M.;Runnels, Brandon
Solid composite propellants (SCPs) are ubiquitous in the field of propulsion. In order to design and control solid rocket motors, it is critical to understand and accurately predict SCP regression. Regression of the burn surface is a complex process resulting from thermo-chemical-mechanical interactions, often exhibiting extreme morphological changes and topological transitions. Diffuse interface methods, such as phase field (PF), are well-suited for modeling processes of this type, and offer some distinct numerical advantages over their sharp-interface counterparts. They also provide a convenient framework for incorporating multiple multiphysical dynamics. In this work, we present a phase-field method for modeling the regression of SCPs with varying species and geometry. We construct the model from a thermodynamic perspective, leaving the base formulation general. A diffuse-species-interface field is employed as a mechanism for capturing complex burn chemistry in a reduced-order fashion, making it possible to model regression from the solid phase only. The computational implementation, which uses block-structured adaptive mesh refinement and temporal substepping for increased performance, is briefly discussed. The model is then applied to four test cases: (i) pure AP monopropellant, (ii) AP PBAN sandwich, (iii) AP HTPB sandwich, and (iv) spherical AP particles packed in HTPB matrix in two and three dimensions. In all cases, reasonable quantitative agreement is observed, even when the model is applied predictively (i.e., no parameter adjustment), as in the case of (iv). The validation of the proposed PF model demonstrates its efficacy as a numerical design tool for future SCP investigation.
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DOI:
10.1109/icmae.2016.7549532
发表时间:
2016
期刊:
2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)
影响因子:
--
作者:
H. Rezaiguia;Peijin Liu
通讯作者:
Peijin Liu
影响因子:
3.4
作者:
K. Gnanaprakash;S. Chakravarthy
通讯作者:
S. Chakravarthy
影响因子:
1.9
作者:
James C. Thomas;Gordon R. Morrow;C. A. Dillier;E. Petersen
通讯作者:
E. Petersen
影响因子:
1.9
作者:
S. Chakravarthy;E. Price;R. Sigman;J. Seitzman
通讯作者:
J. Seitzman
影响因子:
4.4
作者:
D. Watt;E. Petersen
通讯作者:
E. Petersen