Fractal dimension of large aggregates under different flocculation conditions.

Sci Total Environ

Department of Civil, Environmental and Geomatic Engineering, University College London, United Kingdom.

Published: December 2017

AI Article Synopsis

  • The study explored the two-dimensional fractal dimension of large kaolin aggregates during the shear flocculation process using in situ image-based systems.
  • Separate experiments were conducted on different size ranges of aggregates, capturing digital images at a frequency of 10Hz over various flocculation times and shear gradients.
  • Findings revealed that a lower shear gradient resulted in a higher fractal dimension and highlighted the influence of aggregation mechanisms, with different behaviors dependent on velocity gradients.

Article Abstract

The two-dimensional fractal dimension (D) of large aggregates of kaolin (>540μm) during the shear flocculation process for kaolin solution was investigated using non-intrusive in situ image-based acquisition system. Separate experiments were also carried out for three different sized sub-ranges of large aggregates (0.540-1.125mm; 1.125-1.750mm; 1.750-2.375mm). Digital images were taken at a frequency of 10Hz for 10s for each different pairs of gradients of velocity (G) of 20 and 60s and flocculation times of 2; 3; 4; 5; 10; 20; 30; 60; 120 and 180min. For the same conditions, particle size distribution (PSD) was also determined. Under the investigated conditions, the lowest G produced the greatest D (1.69) at a flocculation time of 30min for the whole range of aggregates. Also, the evolution of the longest length of aggregate (l) and D with time, showed that the dynamic steady-state was reached at different times for each shear rate and l ranges. However, D varied for each size sub-range (ca. 1.1 to 1.8). Finally, the behavior of the aggregate structure may be understood by the predominance of different aggregation mechanisms such as cluster-cluster for G of 60s and particle-cluster for G of 20s.

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Source
http://dx.doi.org/10.1016/j.scitotenv.2017.07.194DOI Listing

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