Introduction

According to the predictive flocculation model proposed by Swetland et. al., 2012, large flocs do not significantly contribute to turbidity removal -- only small colloids can collide effectively and aggregate to a size that will be removed by sedimentation. Based on the hypothesis that "large flocs are useless", a floc breakup procedure was devised. Results obtained using a coiled tube flocculator and flocculation residual turbidity analyzer (FReTA) shows that higher turbidity removal was achieved after breaking the flocs, comparing to results using the same method but without floc breakup. Therefore breaking flocs at regular intervals to maintain continuous growth will promote better performance of flocculation. This research finding provided a good reference for future hydraulic flocculator design.

Hypotheses

1. Only laminar flow occurs in tube flocculators. 
2. Colloids cannot attach to large flocs at maximum size thus we need to break those flocs to maintain continuous growth.
3. At low coagulant doses, the residual turbidity is relatively high because the attachment efficiency is not big enough to allow flocs to form. With the increase of coagulant dose, attachment efficiency rises so the residual turbidity is lowered. 
4. Discrete settling is assumed in analysis of data since the distance Z is much less than the 0.5m interval between sampling ports used in conventional flocculant settling tests.
5. Flocs will collide and grow when they travel from one breakup position to another.

Control Experiments

Experimental Method

All experiments conducted are using the same method recorded in AguaClara's archive with the following directory: N://files.cornell.edu/EN/aguaclara/RESEARCH/Tube Floc/Spring 2012/Experiments/6-29-2012.

The specific description of this method is provided below. 

Table 1 Experimental Method Fall 2012 

Set Point

Value

Target influent turbidity max

100 NTU

Target influent turbdity min

97.3 NTU

Raw water flow rate

5.5 mL/s

Length of tube flocculator

83.88 m

Alum base

1.3

Alum coefficient

1.15

Max reps

15

Alum stock concentration

700 mg/L

Note: A power law relationship is used to set a range of alum dose to spread out the residual turbidity vs. dose curve. This equation shows how we set the dose of alum:     !Picture4.png|width=300!Where max reps means the number of experimental cycles, which is set by operators.

Experiments with floc breakup

Floc breakup installation

A floc breakup procedure was devised according to the calculations of energy dissipation rate, capture velocity, collision time. Six hose clamps were evenly placed onto tube flocculator (2 on each unit, see figure 1). The inner diameter of clamps are calculated based on the maximum energy dissipation rate. After the floc breakup device were set up, the flocculator were cleaned using a tiny sponge to remove the clay that sticked to the walls of flocculator. Then a complete experiment with the same method as the control experiment was conducted.

                                                                                                      Figure 1 Floc breakup installation
Experimental results

Figure 2 demonstrates the compared results of residual turbidity with floc breakup and without floc breakup. Obviously, the residual turbidity are lower when breaking the flocs using clamps. At the alum dose 4, 4.6 and 5.2 mg/L, the difference of residual turbidity curve reaches 10 NTU. Both curve seems to fit into the logarithmic trend line -- the one with floc breakup matches the trend line even with a correlation coefficient of 0.9934. The results not only proves that our hypothesis "large flocs are useless" is right but also offers us insight into improving AguaClara's current flocculator design.

 Figure 2  Comparative  results of residual turbidity vs. alum dose  
(Note: 2 experiment points at the beginning were not shown due to graphical trend line fitting)

The Predictive model is supposed to be updated based on the experimental data after floc breakup device was installed. An approach to develop this model is to insert trend line to our existing experimental data and pick the best relationship for turbidity removal versus alum dose curve. Figure 3 indicates that the logarithmic type fits the data the best with a regression equation of y = 0.2062x -0.0078 and a relation coefficient of 0.9931. 

Figure 3 Turbidity removal over a range of alum dose with trend line

Conclusion

The capacity of flocculator is based on it's ability to cause collisions between particles. Breaking large flocs that allow more collisions to happen is helpful to achieve higher turbidity removal. Thus we need to design a special component that can break up flocs at regular intervals. This special component can be a wire mesh set at a size that correlates with the maximum energy dissipation rate or carefully add some baffles in between.