Diffuse interface method for solid composite propellant ignition and regression
Abstract
Solid Composite Propellants (SCPs) are extensively used in the field of propulsion for their chemical and mechanical stability in long-term storage, and for having simple production and operation processes. Computational modeling enables cost reduction, increased efficiency, and greater coverage of the configuration space in the SCP design process. However, accurate and efficient SCP modeling presents a number of numerical challenges. A primary obstacle in modeling these systems is capturing the complex evolving interface. Recently, it has been shown that the phase-field method has a strong ability to model the combustion behavior of SCPs, implicitly capturing the topological evolution at a relatively low computational cost. Initial phase-field methods show promise in their ability to do predictive regression modeling but require a number of approximations and heuristic modeling methods. This work presents a new formulation for the phase field regression model that combines a thermal solver with an Arrhenius rate law to model interface regression using a comprehensive and physics-based approach. This improves the capability of previous methods by increasing the number of kinematic forces that are accounted for, and allowing the study of thermal diffusivity in the system. It also enables the integration of a fully coupled solid-fluid interface. To demonstrate the efficacy of the model, it is applied and calibrated to a homogeneous monopropellant (ammonium perchlorate). The model is validated for a range of temperatures, with a reasonable quantitative match to experimental data. It was also demonstrated that the model recovered the relationship between ignition time and heat flux, with no fitting required. Overall, the method showed great capability of reproducing experimental data by matching temperature, burn rate, and thermal diffusivity profiles.
Copyright and License
© 2023 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
Contributions
CRediT authorship contribution statement:
Maycon Meier: Formal analysis, Writing – original draft, Software, Validation. Emma Schmidt: Formal analysis. Patrick Martinez: Formal analysis. J. Matt Quinlan: Supervision, Writing – review & editing. Brandon Runnels: Supervision, Methodology, Funding acquisition, Writing – review & editing.
Conflict of Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgement
Authors MM, ES, PM, and BR acknowledge support from the Office of Naval Research, grant # N00014-21-1-2113. PM acknowledges support from the Caltech Summer Undergraduate Fellowship (SURF) Program. This work used the INCLINE cluster at the University of Colorado Colorado Springs. INCLINE is supported by the National Science Foundation, grant #2017917.
Additional details
Funding
- National Science Foundation
- 2017917
- Office of Naval Research
- N00014-21-1-2113
- University of Colorado Colorado Springs
Caltech Custom Metadata
- Publication Status
- Published