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Related Concept Videos

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Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent...
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Related Experiment Video

Updated: Mar 3, 2026

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
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Network structure of turbulent premixed flames.

Jasmeet Singh1, Rahul Belur Vishwanath2, Swetaprovo Chaudhuri1

  • 1Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India.

Chaos (Woodbury, N.Y.)
|May 1, 2017
PubMed
Summary

Network analysis reveals that hubs in turbulent premixed flames represent flame front folds. These flame structures are robust to random changes but vulnerable to hub removal, offering new insights into flame-turbulence interactions.

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Area of Science:

  • Combustion Science
  • Fluid Dynamics
  • Network Theory

Background:

  • Turbulent premixed flames are crucial in gas turbine combustors.
  • Understanding flame topology and turbulence interaction is key for combustion optimization.
  • Existing methods often focus on vortex dynamics and stability.

Purpose of the Study:

  • To apply network analysis for a generalized description of turbulent premixed flame topology.
  • To characterize flame-turbulence interaction using network properties.
  • To investigate the robustness and vulnerability of flame front structures.

Main Methods:

  • Utilizing Hydroxyl radical (OH)-Planar Laser Induced Fluorescence (PLIF) imaging.
  • Applying the visibility algorithm to flame edge data to construct networks.
  • Analyzing network structures, including node connectivity and degree distribution.

Main Results:

  • Identified massively connected nodes (hubs) corresponding to flame front folds.
  • Demonstrated that hubs are critical for the overall flame front structure.
  • Characterized flame-turbulence interaction via degree distribution.
  • Found flame networks to be robust to perturbations but vulnerable to hub removal.

Conclusions:

  • Network analysis provides a novel approach to study turbulence-flame interaction dynamics.
  • Hubs and folds are key topological features influencing flame behavior.
  • This method complements existing research in combustion and fluid dynamics.