The use of relatively simple, but conceptually sound mathematical models, i
s a powerful tool to identify and understand parameters that are critical t
o a process. In this paper, a model is presented which addresses the rise r
ate of floc-bubble aggregates in the DAF separation zone. The model uses St
oke's Law as a point of departure, which is then progressively extended to
incorporate the non-sphericity of the aggregates, the non-laminar nature of
their movement, the fractal nature of the flocs, the physical constraints
of attaching bubbles to a floc, and the limit on bubble numbers imposed by
a typical air dosing system. The main findings are:
There are two distinctly different DAF domains, namely a small floc domain
and a large floc domain. In the small floc domain, the bubble size, the air
volume, chemical dosing and the degree of flocculation have to be optimize
d and accurately controlled, while the large floc domain is less sensitive
to these parameters.
The calculated rise rates are significantly lower than some of the latest p
ilot testing results reported from the USA; a surprising finding at first.
There are, however, numerous modelling simplifications that may explain thi
s discrepancy. The most probable reasons are the further agglomeration of t
he aggregates in the separation zone due to differential rise rates or the
recirculating flow within the white-water blanket, and the complex and poor
ly understood flow patterns within the separation zone.