Abstract

Submersible mixer is the core machinery of sewage treatment, which has a profound effect on the efficiency and performance of the submersible mixing system of sewage treatment. This paper summarizes the scientific research results of submersible mixer in recent years from four aspects: structure and energy characteristics of submersible mixer, numerical simulation calculation method, flow field characteristics, and factors affecting the flow field characteristics. The existing published literature indicates that the structure of submersible mixer for sewage is complicated and the parameters of energy characteristics are special. Few experimental studies are conducted, and mostly numerical calculations are based on clear water as the medium. The mixture model based on the Euler–Euler method is the multiphase flow model currently applied in the field of submersible mixer research. Many factors affect the mixing effect of a submersible mixer, such as installation factors (the location and angle of installation) and impeller design parameters (blade gap, hub-tip ratio, blade angle, etc.), all having a significant impact on the mixing performance. Meanwhile, the development and trends of submersible mixer technology are prospected, and the future directions of further research are proposed: establishing a more suitable numerical calculation method for submersible mixer based on the Euler–Lagrange model; constructing the calculation model with real fluid—solid-liquid two-phase flow as the medium; exploring the influence of various parameters on flow field characteristics of mixing fluid; getting the mixing mechanism of submersible mixer; promoting the development of submersible mixer; and realizing the efficient and stable operation of submerged mixing system.

Highlights

  • Environmental protection is a prerequisite for the coordinated development of economy, society, and environment, an important social and economic development strategy of all countries and an important and arduous task facing national construction

  • This paper summarizes the structural characteristics of submersible mixers

  • The rotating speed of the impeller of the high-speed submersible mixer is higher than 350 r/min, which mainly focuses on the shortdistance push flow to improve the fluid mixing effect and prevent deposition (GB/T 33566-2017, 2017)

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Summary

Review of Numerical Simulation Research on Submersible Mixer for Sewage

Reviewed by: Daoxing Ye, Xihua University, China Yu-Liang Zhang, Quzhou University, China. This paper summarizes the scientific research results of submersible mixer in recent years from four aspects: structure and energy characteristics of submersible mixer, numerical simulation calculation method, flow field characteristics, and factors affecting the flow field characteristics. The mixture model based on the Euler–Euler method is the multiphase flow model currently applied in the field of submersible mixer research. The development and trends of submersible mixer technology are prospected, and the future directions of further research are proposed: establishing a more suitable numerical calculation method for submersible mixer based on the Euler–Lagrange model; constructing the calculation model with real fluid—solid-liquid two-phase flow as the medium; exploring the influence of various parameters on flow field characteristics of mixing fluid; getting the mixing mechanism of submersible mixer; promoting the development of submersible mixer; and realizing the efficient and stable operation of submerged mixing system

INTRODUCTION
Review of Submersible Mixer
STRUCTURE AND ENERGY CHARACTERISTICS OF SUBMERSIBLE MIXERS
Effective Disturbance Radius of Water Section
NUMERICAL SIMULATION CALCULATION METHOD
Treatment Method of Mixing Area
Numerical Calculation Method of Turbulence Model
Boundary Conditions
Multiphase Flow Model
Flow Field Characteristics Inside the Impeller
Characteristics of the Flow Field Inside the Pool
RESEARCH ON KEY FACTORS AFFECTING FLOW FIELD CHARACTERISTICS
Installation Factors
Impeller Design Parameters
Other Factors
Findings
AUTHOR CONTRIBUTIONS
Full Text
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