Diagnostics of Strongly Turbulent Premixed Flames Based on Direct Numerical Simulations

Abstract

The objective of the proposed research is to understand the structure and propagation mechanisms of strongly turbulent premixed flames relevant to high speed propulsion applications. The objective is achieved through computational diagnostics of limit flame phenomena, including local ignition and extinction, and other critical flame features, such as premixed reaction fronts and the associated propagation speed, by using the chemical explosive mode analysis (CEMA) on turbulent flames simulated with direct numerical simulations (DNS). Progress has been made in the following tasks during the reporting period (no cost extension): 1) Developed and validated the deeply reduced kinetic model for JP10 specific to extinction problems based on HyChem, 2) Systematic generation and solution of reactor network models (RNM) based on computational fluid dynamics (CFD) results, and 3) Investigation of chemical kinetic uncertainties propagating in turbulent flames based on 2-DDNS.

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Document Details

Document Type
Technical Report
Publication Date
May 31, 2019
Accession Number
AD1096513

Entities

People

  • Hemanth Kolla
  • Jacqueline H. Chen
  • Tianfeng Lu
  • Xinyu Zhao

Organizations

  • University of Connecticut

Tags

Communities of Interest

  • Counter IED

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Buildings And Structures
  • Chemical Explosives
  • Chemical Reactions
  • Classification
  • Computational Fluid Dynamics
  • Connecticut
  • Continents
  • Demographic Cohorts
  • Department Of Defense
  • Engineering
  • Explosives
  • Extinction
  • Fluid Dynamics
  • Fuels
  • Geographic Regions
  • Information Operations
  • Jet Engine Fuels
  • Materials Laboratories
  • North America
  • Physics Laboratories
  • Research Facilities
  • Scientific Research
  • Simulations
  • United States

Fields of Study

  • Physics

Readers

  • Combustion science or combustion engineering.
  • Computational Fluid Dynamics (CFD)