Abstract
In this article, the numerical simulation of a mechanical mixing process typical of that in water treatment has been performed and optimization of process parameters is achieved. First, the prediction capability of the numerical calculation method is verified through laboratory experiments. Then, the index of turbulence intensity and mixing effect is presented. Finally, optimization of design and operational parameters is carried out based on the maximization of two indices while minimizing power consumption in an actual water treatment plant. The results have shown that the nature of the flow field has a strong influence on the mixing effect. Moreover, the index of turbulence intensity and mixing effect was shown to provide a feasible approach to the optimization of design and operational parameters. For the mechanical accelerated clarifier in the actual water treatment plant, the optimal paddle diameter, submerged depth, and rotational speed were 0.8 m, 1.25 m, and 40 r/min, respectively.
Highlights
The clarifier process has a wide range of applicability across water treatment plants of various sizes
The rotation speed of a mechanical accelerated clarifier can be changed based on the quality and quantity of raw water to ensure a satisfactory mixing effect
The results indicate that the power consumption increases as the rotational speed increases, as it is proportional to the cubic of the rotational speed
Summary
The clarifier process has a wide range of applicability across water treatment plants of various sizes. The rotation speed of a mechanical accelerated clarifier can be changed based on the quality and quantity of raw water to ensure a satisfactory mixing effect. The clarifier’s design and operation influences the extent of mixing and the energy consumed by the process.[1,2] the choice of rotation speed, in addition to design parameters, can be optimized to maximize the clarifier’s effect and efficiency. The engineers greatly depend on the empirical and semi-empirical approach to the design of mechanical accelerated clarifier and other stirred mixing equipment. This is because the average values of the macroscopic flow field are calculated. It would be best to establish these parameters based on a detailed understanding of the flow field, but this is made difficult due to computational requirements.[3,4]
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