![Sample our Earth Sciences journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5930/TOC-Subject-Sample-2021-Earth-Sciences.jpg"})
ABSTRACT
The local and non-local statistics of vorticity (i.e. curl of velocity vector
) and pseudo-vorticity
(i.e. curl of density-weighted velocity vector
) have been investigated in detail based on a direct numerical simulation (DNS) database of freely propagating statistically planar flames in different regimes of premixed turbulent combustion. It has been found that the relative orientation of
can be significantly different to that of
for small values of the Karlovitz number and large values of the Reynolds number. The vorticity
shows, depending on the case, considerable alignment with either the most extensive or compressive principal strain rate. In contrast,
has been found to align with the intermediate principal strain rate for all cases. The transport statistics of Reynolds averaged enstrophy (i.e.
) and pseudo-enstrophy (i.e.
) have been investigated in detail. The non-local vorticity statistics in turbulent premixed combustion have been investigated based on the vorticity line segment (VLS) structure, which is defined with respect to each grid point as the part of the (pseudo) vorticity line bounded by the two adjacent extremal points of the (pseudo) vorticity magnitude. VLS can be characterised by the segment length and the (pseudo) vorticity magnitude difference across the segment, i.e. (Δω*) Δω. Strong dilatation effects tend to increase VLS length, whereas turbulent convection disturbs the flow field resulting in shorter VLS. The joint PDFs between the segment length and (Δω) Δω* are found to be symmetric, whereas the joint PDFs between the segment length and the pseudo-vorticity magnitude difference across the VLS in the flame normal direction show significant asymmetry, which is primarily determined by density variation across the flame front and turbulence intensity.
Acknowledgments
Nilanjan Chakraborty is grateful to the Engineering and Physical Sciences Research Council (EPSRC) and N8/ARCHER for financial and computational supports, respectively. Lipo Wang acknowledges the funding support by National Science Foundation China (NSFC) under the grant number 91441116. Nilanjan Chakraborty and Markus Klein are grateful to Prof. H.G. Im from KAUST, Saudi Arabia, for giving access to his DNS database.
Disclosure statement
No potential conflict of interest was reported by the authors.