CN-115577588-B - Optimal design method and optimal design platform for submersible mixer

CN115577588BCN 115577588 BCN115577588 BCN 115577588BCN-115577588-B

Abstract

The invention provides an optimal design method and an optimal design platform of a submersible mixer, wherein the method comprises the following steps of three-dimensional modeling, numerical simulation, automatic three-dimensional modeling, automatic numerical simulation and optimal design variable, wherein Isight optimal platform is used for integrating three-dimensional modeling software and finite element analysis software, an integrated optimal design platform of the submersible mixer is built, optimal design is carried out on the submersible mixer based on DOE sampling and numerical optimization mixing strategies, and automatic cyclic modeling, numerical analysis and optimization processes are realized through the Isight optimal platform. By utilizing the submersible mixer optimal design platform, the type, the installation form and the size of a water tank of the submersible mixer can be reasonably selected according to the needs, so that the operation effect of twice the effort is achieved. According to the invention, by an effective axial propulsion distance method, rebound generated by collision between jet flow and the pool wall of the pool is reduced to the greatest extent, backflow, vortex and other conditions are caused, and the accuracy of detection performance is improved.

Inventors

TIAN FEI
YANG CHEN
ZHANG ERFENG
SHI WEIDONG
ZHANG DESHENG

Assignees

江苏大学

Dates

Publication Date: 20260512
Application Date: 20221014

Claims (10)

1. The optimized design method of the submersible mixer is characterized by comprising the following steps: step S1, three-dimensional modeling, namely determining a basic structure of the submersible mixer, initially establishing a three-dimensional submersible mixer model and a three-dimensional pool model in three-dimensional modeling software, placing the submersible mixer model in the three-dimensional pool model, and adjusting the position of the submersible mixer model according to the shape of the pool; S2, performing numerical simulation, namely importing the submersible mixer model in the step S1 into finite element analysis software to obtain the average flow velocity v-average and the effective axial pushing distance Ly in the water tank of the submersible mixer model; Step S3, automatic three-dimensional modeling, namely integrating modeling process parameters of the three-dimensional modeling software in the step S1 into Isight software by utilizing Isight software, wherein the modeling process parameters comprise A, B, C, AY, AZ, LX and LW, A is the distance from the rotation center of an impeller of the submersible mixer to a side pool wall, B is the distance from the rotation center of the impeller of the submersible mixer to a pool bottom wall, C is the distance from the back of the submersible mixer to an installation wall, AY is the relative installation wall of the submersible mixer in a pool, AZ is the inclination angle of the adjacent pool walls of the submersible mixer in the pool, LX is the installation wall length of the submersible mixer, LW is the pool depth of the pool; step S4, automatic numerical simulation, namely integrating the finite element analysis software in the step S2 by utilizing Isight software, inputting the average flow velocity v-average and the effective axial pushing distance Ly in the pool of the submersible mixer model obtained by the finite element analysis software in the step S2 into Isight software for integration, automatically modeling by using modeling process parameters input in the step S3, importing the obtained newly built model into the finite element analysis software, and performing numerical simulation on the rotation speed rotorvelocity of the submersible mixer blade, the average flow velocity v-average and the effective axial pushing distance Ly in the pool; And S5, optimizing design variables, namely utilizing Isight software integrated in the step S4 to extract parameters of the average flow velocity v-average and the effective axial propelling distance Ly in the pool in the step S4, adopting a DOE sampling and numerical optimization mixing strategy, setting a DOE sampling method, sample points, design variables and post-processing targets, setting an optimization algorithm, design variables, constraint conditions and optimization targets, taking the average flow velocity v-average and the effective axial propelling distance Ly in the pool as optimization targets, selecting the design variables according to requirements, and optimizing and analyzing to maximize the average flow velocity v-average and the effective axial propelling distance Ly in the pool.
2. The optimization design method of the submersible mixer according to claim 1, wherein the three-dimensional modeling software in the step S1 is Creo parameter 6.0.
3. The optimized design method of submersible mixer according to claim 1, wherein the finite element analysis software in step S2 is ANSYS Workbench 2020.
4. The optimized design method of submersible mixer according to claim 3, wherein in step S2, ANSYS Workbench 2020 finite element analysis software is selected, and the method specifically comprises the following steps: S21, carrying out polyhedral unstructured grid division on a pool water body and an impeller; S22, encrypting the contact surfaces of the impeller blades, the impeller water body and the impeller and the pool; s23, selecting Realizable k-epsilon as a model of the submersible mixer, and adopting a Scalable Wall Functions function on the near wall surface; S24, setting an impeller water body as a rotating area, setting a pool water body as a static area, and setting residual error convergence precision; s25, performing constant simulation on a calculation domain of the model submersible mixer, and outputting a result of velocity flow field analysis of the submersible mixer, wherein the result comprises an average flow velocity v-average and an effective axial propulsion distance Ly in a water tank.
5. The optimization design method of the submersible mixer according to claim 1, wherein in the step S5, a DOE sampling and numerical optimization mixing strategy is adopted, and the Task Plan component in Isight software is used to integrate the DOE algorithm with the parameter optimization algorithm, which comprises the following steps: s51, in Isight software, uniformly sampling in a design space through a DOE (data of inspection) component, acquiring the most effective design area in the whole design space, selecting a Latin hypercube Optimal Latin Hypercubic sampling method, and setting the number of sample points; s52, in Isight software, selecting a design variable; S53, in Isight software, through a General page of an Optimization component, a NLPQLP Optimization algorithm is selected, an optimal solution of the DOE is used as an initial position point of Optimization in a Factors page, and upper and lower limits of a design variable A, B, C, AY, AZ, LX, LW, rotorvelocity are set respectively; S54, in Isight software, constraint conditions of an Optimization model are set through a Constaints page of the Optimization assembly, upper limit and lower limit of effective axial propulsion distance Ly of the constraint conditions are set respectively, and Optimization targets are set to maximize average v-average and effective axial propulsion distance Ly in a pool through a Objectives page of the Optimization assembly.
6. The optimization design method of the submersible mixer according to claim 5, wherein the design variables in step S52 are specifically selected as follows: Setting design variables as LX and LW if only proper stirring pool size is needed, setting design variables as rotorvelocity if only proper stirrer is needed, setting design variables as A, B, C, AY and AZ if only proper installation form is needed, setting design variables as A, B, C, AY, AZ, LX, LW and rotorvelocity if proper stirring pool size, stirrer model and installation form are needed at the same time, respectively setting upper and lower limits and initial values of the design variables, and setting post-treatment targets as v-average maximization and effective axial propulsion distance Ly maximization.
7. The optimal design method of the submersible mixer according to claim 1, wherein the constraint conditions in the step S5 comprise 100mm < A < 1000mm, 100mm < B < 750mm, 200 < C < 500mm, 0 < AY < 90 DEG, and 0 < AZ < 90 deg.
8. The optimized design method of the submersible mixer according to claim 1, wherein the constraint conditions in the step S5 further comprise 1800 mm-2000 mm LX, 1000 mm-1500 mm LW, 2500 mm-5000 mm LZ.
9. The optimized design method of the submersible mixer according to claim 1, wherein the constraint conditions in the step S5 further comprise Ly being 1.60 m-2.3 m, ly being 800 rpm-rotorvelocity rpm-1500 rpm.
10. A platform for implementing the optimal design method of the submersible mixer according to any one of claims 1 to 9, which is characterized by comprising an automatic three-dimensional modeling module, an automatic numerical simulation module and an optimal design variable module; The automatic three-dimensional modeling is used for integrating three-dimensional modeling software by utilizing Isight software, modeling process parameters of the three-dimensional modeling software are input into Isight software for integration, the modeling process parameters comprise A, B, C, AY, AZ, LX and LW, wherein, the parameter A is the distance from the rotation center of an impeller of the submersible mixer to a side pool wall, the parameter B is the distance from the rotation center of the impeller of the submersible mixer to a pool bottom wall, the parameter C is the distance from the back of the submersible mixer to a mounting wall, AY is the relative mounting wall of the submersible mixer in a pool, AZ is the inclination angle of the adjacent pool walls of the submersible mixer in the pool, LX is the mounting wall length of the submersible mixer, LW is the pool depth of the pool; The automatic numerical simulation is used for integrating finite element analysis software by utilizing Isight software, inputting the average flow velocity v-average and the effective axial pushing distance Ly in the water tank of the submersible mixer model obtained by the finite element analysis software into Isight software for integration, automatically modeling by using the input modeling process parameters, importing the obtained newly built model into the finite element analysis software, performing numerical simulation on the rotation speed rotorvelocity of the submersible mixer blade, the average flow velocity v-average and the effective axial pushing distance Ly in the water tank, and extracting the input parameters and the output parameters of each group of models to realize visualization; The optimized design variable is used for utilizing integrated Isight software to extract parameters of average flow velocity v-average and effective axial pushing distance Ly in the water tank, adopting a DOE sampling and numerical optimization mixing strategy, setting a DOE sampling method, sample points, design variables and post-processing targets, then setting an optimization algorithm, design variables, constraint conditions and optimization targets, taking the average flow velocity v-average and the effective axial pushing distance Ly in the water tank as an optimization target function, selecting the design variables according to requirements, and carrying out optimization analysis to maximize the average v-average and the effective axial pushing distance Ly in the water tank.

Description

Optimal design method and optimal design platform for submersible mixer Technical Field The invention belongs to the technical field of submersible mixers, and particularly relates to an optimal design method and an optimal design platform for a submersible mixer. Background The submersible mixer is used as a novel and efficient submersible mixing and flow pushing device, is generally used for mixing liquid containing suspended matters in sewage treatment plants and industrial processes, and has the functions of uniformly mixing to enable the suspended matters to be suspended from the bottom, is used for various water tanks and oxidation ditches to generate strong flow with low tangential flow, is used for creating water flow and water circulation in the water tanks through mixing, and is used for maintenance equipment of landscape environment, and is used for creating water flow through mixing, so that the water quality is improved, the oxygen content in the water is increased, and the suspended matters are effectively suspended from the bottom. The flow field characteristics of the stirring pool are affected by a plurality of factors, mainly including the hub ratio, the mounting position and angle of the stirring machine, the blade clearance, the blade mounting angle and the like. In practical engineering application, the shape of a water tank, the positions of water inlet and outlet and the situation that jet flow collides with the wall of the water tank to generate rebound and cause backflow, vortex and the like are fully considered, and the factors directly influence the efficiency, the effect and the stability of the whole stirring treatment system. In order to minimize short circuit circulation and dead angle, avoid collision with a pool and reduce fluid speed, an optimal design method and an optimal design platform of the submersible mixer are needed. Disclosure of Invention Aiming at the technical problems, the invention provides an optimal design method and an optimal design platform for a submersible mixer, wherein Isight optimal platforms are utilized to integrate three-dimensional modeling software and finite element analysis software, an integrated optimal design platform for the submersible mixer is built, internal flow field characteristics of the submersible mixer are researched, the optimal design is carried out on the submersible mixer based on DOE sampling and numerical optimization mixing strategies, and automatic cycle modeling, numerical analysis and optimization processes are realized through Isight optimal platforms. By utilizing the submersible mixer optimal design platform, the type, the installation form and the size of a water tank of the submersible mixer can be reasonably selected according to the needs, so that the operation effect of twice the effort is achieved. The present invention achieves the above technical object by the following means. An optimized design method of a submersible mixer comprises the following steps: step S1, three-dimensional modeling, namely determining a basic structure of the submersible mixer, initially establishing a three-dimensional submersible mixer model and a three-dimensional pool model in three-dimensional modeling software, placing the submersible mixer model in the three-dimensional pool model, and adjusting the position of the submersible mixer model according to the shape of the pool; S2, performing numerical simulation, namely importing the submersible mixer model in the step S1 into finite element analysis software to obtain the average flow velocity v-average and the effective axial pushing distance Ly in the water tank of the submersible mixer model; Step S3, automatic three-dimensional modeling, namely integrating modeling process parameters of the three-dimensional modeling software in the step S1 into Isight software by utilizing Isight software, wherein the modeling process parameters comprise A, B, C, AY, AZ, LX and LW, the parameter A is a distance from the rotation center of an impeller of the submersible mixer to a side pool wall, the parameter B is a distance from the rotation center of the impeller of the submersible mixer to a pool bottom wall, the parameter C is a distance from the back of the submersible mixer to an installation wall, A, B, C is defined by the distance of the submersible mixer in the pool along the xyz direction of a coordinate system, AY is the relative installation wall of the submersible mixer in the pool, AZ is the inclination angle of the adjacent pool walls of the submersible mixer in the pool, AY and AZ are defined by the rotation angle around a y axis of the coordinate axis respectively, LX is the installation wall length of the submersible mixer, and LW is the pool depth of the pool; Step S4, automatic numerical simulation, namely integrating finite element analysis software in the step S2 by utilizing Isight software, inputting the average flow velocity v-average and the effective axial pushi