• Open Access

Numerical study of the influence of wall roughness on laminar boundary layer flashback

Shuyu Ding, Kai Huang, Yifan Han, and Damir Valiev
Phys. Rev. Fluids 6, 023201 – Published 24 February 2021

Abstract

Modification of flow characteristics by wall roughness has been intensively analyzed in the field of fluid mechanics. However, few studies have considered wall roughness in boundary layer flame flashback. In the present study, laminar boundary layer flashback in channels with roughness at the walls is studied using two-dimensional simulations. The laminar premixed flame interacts with a linear shear flow along a wall with triangle-shaped fine roughness. The simulation results show that wall roughness in this configuration can attenuate flashback tendency due to enhanced heat loss to the boundary. By comparing results for isothermal and adiabatic boundary conditions at the walls, it is shown that the heat loss enhancement due to wall roughness may be a dominant effect in determining flame propagation characteristics for the walls with low thermal resistance. The critical velocity gradient is shown to decrease with wall roughness level and increase with thermal gas expansion ratio.

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  • Received 17 August 2020
  • Accepted 11 February 2021

DOI:https://doi.org/10.1103/PhysRevFluids.6.023201

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Shuyu Ding1,*, Kai Huang1,2,*, Yifan Han1,2, and Damir Valiev1,2,3,†

  • 1Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
  • 2Center for Combustion Energy, Tsinghua University, Beijing 100084, China
  • 3Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing 100084, China

  • *These authors contributed equally to this work.
  • dvaliev@tsinghua.edu.cn

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Vol. 6, Iss. 2 — February 2021

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