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Massachusetts Institute of Technology

Combustion Physics and Inverse Modeling of Energetic Materials

Abstract

dc:description.abstract

Energetic material combustion involves intricate multi-scale and multi-phase dynamics, where the interplay of chemical reaction and transport processes results in complex wave patterns across a wide range of length scales from nano to millimeter. Our limited fundamental understanding of these combustion processes poses a challenge to design and optimize combustion properties, leading to significant reliance on empirical knowledge. Deeper comprehension can be achieved by linking fundamental aspects of reaction and transport to combustion dynamics. However, there are very limited diagnostic tools available to quantify material properties and chemical kinetics for heterogeneous materials under combustion, which hinders the quantitative analysis of combustion waves. Furthermore, combustion wave dynamics and flame structures in modern nanocomposite energetic materials have not been fully resolved. This lack of breath in modeling techniques and experimental characterization has prevented quantitative analysis of combustion wave dynamics for energetic materials. This thesis aims to establish theories for combustion waves in energetic materials by correlating their intrinsic chemical reaction and transport properties with wave dynamics. To achieve this goal, two major steps are involved. First, we propose a novel inverse modeling approach to infer material properties and chemical kinetics using PDE-constrained optimization, which allows for deciphering the reaction-transport coupling from observable dynamics in currently available combustion diagnostic tools. We further discuss training challenges of neural differential equations with data subject to scale separation and propose mitigation strategies that enable learning stiff dynamical systems. Secondly, we investigate flame structures and dynamics in nanocomposite energetic materials at length scale ranging from micron to sub-millimeter using high-speed microscopic imaging techniques. Two distinct combustion wave patterns are characterized by flame dynamics and stability. Based on inverse modeling and microscopic observation, we finally construct two theories of combustion wave propagation and wave stability, by performing scaling analysis on wave dynamics in terms of mass and thermal transports and chemical reaction. A systematic view of energetic material combustion allows for deeper comprehension of how multi-scale dynamics of reaction and transports evolve in macro-scale combustion waves, potentially leading to the development of predictive models for the intricate heterogeneous combustion dynamics of energetic materials.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kim, Suyong
Advisor dc:contributor.advisor
  • Deng, Sili

Rights

dc:rights
Statement dc:rights
  • Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/162511
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/162511

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Kim, Suyong. Combustion Physics and Inverse Modeling of Energetic Materials. Massachusetts Institute of Technology, 2024. https://hdl.handle.net/1721.1/162511