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Massachusetts Institute of Technology

Nanosecond Pulsed Plasmas in Dynamic Combustion Environments

Abstract

dc:description.abstract

Plasma assisted combustion (PAC) is a promising technology for extending combustion operating envelopes with a low energy cost relative to flame power. It has been investigated for use in various situations, particularly those where combustion is being performed near flammability limits imposed by equivalence ratio, residence time, etc. While the fundamental processes allowing plasma to modify combustion dynamics have been well studied, there are still many unresolved questions in determining the relative contribution of different actuation pathways in different situations (thermal enhancement, kinetic enhancement or transport-induced effects) and how the plasma will evolve and interact with the flame in a dynamic combustion environment. The plasmas being used for PAC are typically non-equilibrium and are often produced by the nanosecond repetitively pulsed discharge (NRPD) strategy. The development of these discharges is highly dependent both on applied voltage and also on the gas environment (composition, temperature, flow field, etc.). As the plasma affects the combustion, so too does the combustion affect the plasma structure and energy deposition pathways. This two-way coupling means that the plasma’s ability to modify the combustion, and the mechanisms by which it achieves these effects, will vary as the environment changes due to combustion dynamics. This impact of the combustion on the plasma has received considerably less attention than the other direction of interaction, especially in environments with transient or propagating flames. The first main objective of this thesis is to explore the development of NRPDs in dynamic combustion environments and in particular how the plasma develops on the timescales of transient combustion (many accumulated pulses). This is performed first in a laminar, mesoscale platform to probe the interaction in detail, and the important insights are later shown to be relevant to high power systems of practical interest. While the impact of the plasma on the flame has been considerably better studied and the fundamental processes are well understood, there are still hurdles that must be overcome before PAC systems can begin to be designed and implemented for use outside of the laboratory. The development of versatile and flexible engineering models of the impact of the plasma will be necessary to allow system designers to make predictions about combustor operation when plasma is applied. The second main objective of this thesis is to develop such an engineering model and demonstrate its predictive capabilities across a variety of configurations. The model is developed for a laminar mesoscale platform and is shown to correctly predict the impact of the plasma in several different configurations, indicating a path forward towards physics[1]informed design of PAC systems. The model also provides important physical insight of the impact of plasma on flame, such as the role of pressure waves in disturbing the flame dynamics, even when considering uniform DBD discharges.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Pavan, Colin A.
Advisor dc:contributor.advisor
  • Guerra-Garcia, Carmen

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/151492
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/151492

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

Pavan, Colin A.. Nanosecond Pulsed Plasmas in Dynamic Combustion Environments. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/151492