A novel method to quantify soot sheets from planar images of soot volume fraction is presented and demonstrated in a well-characterised turbulent, non-premixed flame, known as the ‘Delft-Adelaide Flame’. The algorithm employed in this method is found to be well-suited to extract dimension information of soot sheets with bend, irregular shape and random orientation. Statistical assessment of the soot sheet dimensions at the flame height that corresponds to the location of the maximum mean soot volume fraction in this flame, reveals that a linear correlation exists between the soot characteristic width and length.
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