Simulation verification method for slurry stirring

Abstract

The invention belongs to the technical field of industrial simulation, and discloses a simulation verification method for slurry stirring, which comprises the following steps: preparing slurry with target viscosity, and adding the slurry into a stirring experiment platform to obtain to-be-stirred slurry; after the to-be-stirred paddle is stable, adding a tracer agent at a preset position of the to-be-stirred paddle to obtain first detection data; the to-be-stirred paddle is stirred in the stirring experiment platform, and a plurality of second detection data at different moments in the stirring process are obtained; setting initial conditions of a pre-constructed simulation model according to the first detection data, and performing simulation analysis to obtain a plurality of simulation data at different moments; and comparing the simulation data and the second detection data at the same moment to obtain a verification result. The verification cost can be reduced, and the verification efficiency is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of industrial simulation, and in particular relates to a simulation verification method for slurry stirring. Background Art

[0002] The simulation of slurry mixing not only improves efficiency and accuracy, but also provides the necessary support for the smooth implementation and optimization of the mixing process. By deeply understanding the behavior of slurries and their performance during the mixing process, companies can better meet production requirements and improve the quality of the final product.

[0003] However, in industrial production, especially in processes involving stirring of high-viscosity fluids, due to the complex rheological properties of the slurry and the expensive raw materials, it is necessary to rely on direct use of raw material experiments to verify the simulation results. The verification cost is high, the time is long, and the experimental parameters are difficult to control. Summary of the invention

[0004] The purpose of the present invention is to provide a simulation verification method for slurry stirring, so as to solve the problems of high cost, long time and difficult control of experimental parameters in simulation verification.

[0005] A first aspect of the present invention discloses a simulation verification method for slurry stirring, comprising:

[0006] Prepare a slurry with a target viscosity, and add the slurry to a stirring experimental platform to obtain a slurry to be stirred;

[0007] When the slurry to be stirred is stable, adding a tracer to a preset position of the slurry to be stirred to obtain first detection data;

[0008] Stirring the slurry to be stirred in the stirring experimental platform, and acquiring a plurality of second detection data at different times during the stirring process;

[0009] According to the first detection data, the initial conditions of the pre-built simulation model are set, and simulation analysis is performed to obtain a number of simulation data at different times;

[0010] The simulation data and the second detection data at the same time are compared to obtain a verification result.

[0011] In some embodiments, the stirring experiment platform includes an experimental device module, a data acquisition module, a cooling module and a camera module. The experimental device module includes a motor, a stirring paddle and a stirring tank with a glass jacket. The data acquisition module includes a torque sensor and a thermocouple for measuring temperature. The cooling module includes a low-temperature constant temperature circulator for providing circulating cooling water for the stirring tank.

[0012] In some embodiments, three thermocouples are provided, which are respectively used to monitor the water inlet temperature, the water outlet temperature of the low-temperature constant temperature circulator and the temperature of the slurry in the stirring tank.

[0013] In some embodiments, water at a target temperature is introduced into the low-temperature constant temperature circulator in advance, and when the slurry to be stirred is stirred in the stirring experimental platform, the water in the low-temperature constant temperature circulator is pumped into the glass jacket of the stirring tank at a constant pump speed.

[0014] In some embodiments, the second detection data includes a stirring effect diagram, the simulation data includes a tracer concentration cloud diagram, and the comparing the simulation data and the second detection data to obtain a verification result includes:

[0015] The verification result is obtained by comparing the flow characteristics in the tracer concentration cloud map and the stirring effect map, wherein the flow characteristics include diffusion degree and movement trajectory.

[0016] In some embodiments, comparing the flow characteristics in the tracer concentration cloud map and the stirring effect map to obtain the verification result includes:

[0017] Identify high concentration areas and low concentration areas in the tracer concentration cloud map and the stirring effect map respectively;

[0018] Based on the high concentration area and the low concentration area, respectively calculating the concentration gradient of the tracer concentration cloud map and the concentration gradient of the stirring effect map;

[0019] According to the concentration gradient, the flow direction and speed of the tracer concentration cloud map and the stirring effect map are compared to obtain the verification result.

[0020] In some embodiments, the second detection data and the simulation data further include torque and temperature at different times, and the comparing the simulation data and the second detection data to obtain a verification result further includes:

[0021] constructing an experimental stirring power curve and a simulated stirring power curve respectively according to the torque in the second detection data and the torque in the simulation data;

[0022] Comparing the growth trends of the experimental stirring power curve and the simulated stirring power curve to obtain a first comparison result;

[0023] constructing an experimental temperature change curve and a simulation temperature change curve respectively according to the temperature in the second detection data and the temperature in the simulation data;

[0024] Comparing the variation trends of the experimental temperature variation curve and the simulation temperature variation curve to obtain a second comparison result;

[0025] The first comparison result and the second comparison result are combined to obtain the verification result.

[0026] In some embodiments, after obtaining the verification result, optimizing the simulation model according to the verification result includes:

[0027] According to the verification result, the type of the stirring paddle is adjusted and / or the height of the stirring paddle from the bottom surface of the stirring tank is changed to optimize the simulation model.

[0028] In some embodiments, a simulation model is pre-built, including:

[0029] Constructing a three-dimensional model of the stirring kettle in the stirring experimental platform;

[0030] Importing the three-dimensional model into a modeling software to obtain an initial model;

[0031] The boundary conditions of the initial model are set, and the continuity equation, momentum equation and energy equation are solved to obtain the simulation model.

[0032] In some embodiments, after the slurry is added to the stirring test platform, the slurry is heated to a preset temperature, and the slurry is rotated at a preset speed in the stirring test platform.

[0033] The beneficial effect of the present invention is that a stirring experiment is carried out through a constructed stirring experimental platform, a first detection data at the beginning of stirring and a second detection data during stirring are obtained, a simulation model is set according to the first detection data, a simulation analysis is performed, simulation data is obtained, and then the simulation data and the second detection data are compared to verify the accuracy of the simulation. The key parameters in the slurry stirring process can be effectively measured in the laboratory, and these parameters can be used for simulation optimization to achieve the purpose of efficiently and accurately verifying the simulation accuracy. At the same time, by optimizing the experimental platform and the simulation process, the verification cost can be reduced and the verification efficiency can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings herein show specific examples of the technical solutions described in the present invention, and together with the specific implementation methods, constitute a part of the specification, and are used to explain the technical solutions, principles and effects of the present invention.

[0035] Unless otherwise specified or defined, the same reference numerals in different drawings represent the same or similar technical features, and the same or similar technical features may also be represented by different reference numerals.

[0036] Figure 1 A flowchart of a simulation verification method disclosed in an embodiment of the present invention;

[0037] Figure 2It is a module diagram of a stirring experiment platform according to an embodiment of the present invention;

[0038] Figure 3 Comparison diagram of the tracer at different times in simulation and experiment;

[0039] Figure 4 is the tracer concentration variation curve during simulation;

[0040] Figure 5 This is a comparison chart of the stirring power values ​​at different speeds in simulation and experiment;

[0041] Figure 6 The figure is a comparison chart of the temperature values ​​measured at different times in simulation and experiment.

[0042] Description of Figure Numbers:

[0043] 10. Moving and supporting module, 20. Motor, 30. Data acquisition module, 40. Low temperature constant temperature circulator, 50. Camera module, 60. Thermocouple, 70. Stirring kettle, 80. Electronic terminal, 90. Control module. DETAILED DESCRIPTION

[0044] Unless otherwise specified or defined, all technical and scientific terms used herein have the same meaning as those generally understood by those skilled in the art. In the case of combining the technical solution of the present invention with realistic scenarios, all technical and scientific terms used herein may also have meanings corresponding to the purpose of implementing the technical solution of the present invention. The "first, second..." used herein is only used to distinguish the names and does not represent a specific quantity or order. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0045] It should be noted that when a component is considered to be "fixed to" another component, it can be directly fixed to the other component or there can be a central component; when an component is considered to be "connected to" another component, it can be directly connected to the other component or there can be a central component at the same time; when an component is considered to be "installed on" another component, it can be directly installed on the other component or there can be a central component at the same time. When an component is considered to be "set on" another component, it can be directly set on the other component or there can be a central component at the same time.

[0046] Unless otherwise specified or defined, the "said" and "the" used in this document refer to the technical features or technical contents mentioned or described before the corresponding position, and the technical features or technical contents may be the same as or similar to the technical features or technical contents mentioned therein. In addition, the terms "including" and "having" and any variations thereof used in this document are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0047] In the process of PVC industrial production, the simulation of slurry stirring is often used to deeply understand the slurry behavior and its performance during the stirring process. Therefore, the accuracy and precision of the simulation are crucial. However, the current simulation verification is costly, time-consuming, and the experimental parameters are difficult to control.

[0048] In view of the above problems, the present invention conducts experiments on the constructed stirring experimental platform, imports the experimental objects and environment into the simulation model for simulation analysis, and verifies the accuracy of the simulation by comparing the simulation data and the experimental data. Compared with the traditional direct experimental verification method, the cost of experimental materials and equipment is significantly reduced by replacing large-scale experimental equipment with small-scale experiments and data collection; by continuously optimizing the simulation model, the consistency between the simulation results and the actual situation is improved, providing higher reliability for the simulation of the actual production process; by small-scale experimental data collection and simulation optimization, the experimental time is reduced, making the process optimization process faster and more convenient. Therefore, the stirring experimental platform and simulation verification method of the present invention can significantly improve the accuracy and precision of the high-viscosity slurry stirring simulation.

[0049] Taking the simulation of the stirring process of high viscosity slurry as an example, the simulation verification process of this embodiment is as follows: Figure 1 This embodiment verifies and optimizes the simulation process by designing a system integrating a stirring device, a sensor and simulation software, and realizes accurate monitoring and data collection of the high-viscosity slurry stirring process.

[0050] Specifically, the system is mainly composed of a stirring experiment platform and simulation software. The stirring experiment platform integrates torque sensors, thermocouples and adjustable stirring devices to ensure comprehensive monitoring of the high-viscosity slurry stirring simulation process, simulate the high-viscosity slurry stirring process, and has torque and temperature data collection functions to provide comparative data for simulation. The simulation software is used to create and optimize the simulation model and execute the simulation process.

[0051] like Figure 2As shown, the stirring experiment platform is composed of a mobile and support module 10, an experimental device module, a data acquisition module 30, a control module 90, an electronic terminal 80 (such as a computer), a cooling module and a camera module 50. Among them, the experimental device module includes a motor 20, a stirring paddle, and a stirring kettle 70 with a glass jacket. The shape and stirring speed of the stirring paddle can be flexibly adjusted to simulate different operating conditions. The data acquisition module 30 includes: a torque sensor and a thermocouple 60 for measuring temperature. The torque sensor and the thermocouple 60 are used to monitor the mechanical properties and thermal changes of the high viscosity solution during the stirring process in real time. The cooling module is a low-temperature constant temperature circulator 40, and the function of the low-temperature constant temperature circulator 40 is to provide circulating cooling water for the stirring kettle 70. The electronic terminal 80 is electrically connected to the data acquisition module 30 and the camera module 50 to control the data acquisition process and save and process the collected torque and temperature (such as preprocessing and fitting the data into a curve, etc.). The control module 90 is used to control the motor 20. The low temperature constant temperature circulator 40 is connected to the stirring tank 70 by a pipe, including a water outlet pipe and a water inlet pipe. In this embodiment, three thermocouples 60 are provided, which are respectively arranged at the water outlet and water inlet of the low temperature constant temperature circulator 40 and in the stirring tank 70, and are used to monitor the water inlet temperature and water outlet temperature of the low temperature constant temperature circulator 40 and the temperature of the slurry in the stirring tank 70.

[0052] In this embodiment, the simulation verification is mainly used to verify the simulated mixing effect, cooling effect, and stirring power. By comparing the experimental data with the simulation data in real time, the simulation model is continuously optimized according to the experimental data, thereby achieving efficient simulation verification.

[0053] First, a stirring experiment is performed to prepare a high viscosity solution (i.e., slurry) of a target viscosity and add it to a stirring tank to obtain a slurry to be stirred. In this embodiment, after the slurry is added to the stirring tank, the slurry is also heated to a preset temperature and rotated at a preset speed in the stirring tank. This ensures that the components in the slurry are evenly mixed to avoid stratification or unevenness.

[0054] Then, after the stirring slurry reaches a stable state (i.e., the stirring slurry is in a stationary state), a tracer is added to a preset position of the stirring slurry (e.g., the left side of the stirring slurry horizontal plane). At this time, the electronic terminal controls the camera module to take a photo of the stirring tank to obtain the first detection data.

[0055] Then the control module starts the motor to start stirring. During the stirring process, water at the target temperature (10°C in this embodiment) needs to be introduced into the glass jacket of the stirring kettle to control the temperature of the stirring slurry during the stirring process according to the process requirements. Specifically, water at the target temperature has been introduced into the low-temperature constant temperature circulator in advance. When stirring the stirring slurry, the water in the low-temperature constant temperature circulator is pumped into the glass jacket of the stirring kettle at a constant pump speed.

[0056] During the process of stirring the slurry to be stirred, a number of second detection data at different times during the stirring process are obtained according to a preset time interval. In this embodiment, the second detection data includes torque, temperature and a photographed stirring effect diagram, but it is not specifically limited and can be changed accordingly as needed. Specifically, at regular intervals (such as every 5 seconds), the electronic terminal obtains the collected data of the torque sensor to obtain the torque, which can reflect the power of the stirring paddle in the stirring tank; the electronic terminal obtains the collected data of the thermocouple to obtain the temperature; the electronic terminal controls the camera module to take a photo of the stirring tank to obtain the stirring effect diagram, which can reflect the diffusion process of the tracer and record the different stages of the mixing process. When the tracer diffuses to fill the stirring tank, the mixing is considered complete, and the shooting and data collection are stopped.

[0057] After the stirring experiment is completed, the simulation process begins. The simulation software used in this embodiment is ANSYS FLUENT, which can be used for finite element analysis (FEA), computational fluid dynamics (CFD), multi-physics field simulation, etc., and the simulation software is used to realize the integration of simulation modeling, model optimization, and simulation analysis. Specifically, the simulation model is pre-built, and the process is as follows: according to the size and shape of the stirring kettle in the stirring experiment platform, a three-dimensional model of the stirring kettle is first built using a modeling software (such as solidworks); then the three-dimensional model is imported into the simulation software, and a flow field regional model of the stirring kettle and the cooling water outside the stirring kettle is built by computational fluid dynamics (CFD) to obtain an initial model; then the initial conditions are set according to the first detection data, such as the temperature, viscosity and other data measured in the initial state of the stirring experiment as the initial conditions of the simulation; the boundary conditions of the simulation are set, for example: the same rotation speed, solution viscosity, tracer addition position, etc. as the stirring experiment are set. Finally, the continuity equation, momentum equation and energy equation are solved to obtain a simulation model.

[0058] The continuity equation is used to describe the mass conservation of the fluid in the control volume. In steady-state flow, the mass of the fluid flowing in is equal to the mass of the fluid flowing out. The continuity equation ensures that the mass of the fluid is conserved within the computational domain during the simulation. The specific expression is:

[0059]

[0060] Where ρ is the fluid density, t is the time, and u is the fluid velocity vector. is the divergence operator, representing the inflow and outflow of fluid.

[0061] When building simulation models, the momentum equation helps define pressure, velocity, and flow direction, especially in scenarios with fluid flow, stirring, or rotation. The momentum equation can describe the changes in the flow field and help analyze flow stability and flow characteristics. The specific expression is:

[0062] x-direction:

[0063]

[0064] y direction:

[0065]

[0066] z-direction:

[0067]

[0068] Where u is the velocity component in that direction, ρ is the density, p is the pressure, μ is the dynamic viscosity, and f is the volume force in that direction. is the time rate of change, Represent the spatial change rate respectively.

[0069] The energy equation is coupled with the momentum equation and the continuity equation to jointly affect the motion and heat exchange behavior of the fluid. The energy equation is expressed as:

[0070]

[0071] Where E is the total energy per unit volume (the sum of kinetic energy, internal energy, and potential energy), k is the thermal conductivity, T is the temperature, Φ is the dissipated power (energy loss caused by viscosity), and Q is the external heat source term.

[0072] It should be noted that pre-building a simulation model is not limited to the above method used in this embodiment, and other methods may also be used to build a simulation model.

[0073] After the simulation model is constructed, simulation analysis is performed on the constructed simulation model in the simulation software, and several simulation data at different times are exported from the simulation software based on the same time interval as the stirring experiment. For example, the simulation data obtained in this embodiment includes a tracer concentration cloud map, torque, and temperature of the cross section of the stirred tank.

[0074] refer to Figure 3 At t = 0s, 5 ml of red ink was added to the upper left corner of the frame stirring paddle as a tracer. Similarly, in the simulation model, the upper left corner of the frame stirring paddle was used as the initial position of the tracer. During the stirring and simulation process, it can be observed that at t = 5s, the tracer diffused along the frame stirring paddle, and at t = 10s, the tracer diffused to the bottom area of ​​the frame stirring paddle. At t = 15s, the tracer basically filled the stirring tank.

[0075] In this embodiment, five different points in the stirring tank are set in the simulation software ANSYS FLUENT to monitor the change of tracer concentration over time. After the simulation is completed, the following tracer concentrations are generated according to the output of different monitoring points: Figure 4The change curve shown is from Figure 4 It can be seen that the tracer concentration curves at the monitoring point at t=35s are basically consistent, which is consistent with the experimental results.

[0076] Finally, compare the simulation data and the second detection data at the same time, for example: the second detection data 5 seconds after the start of the stirring experiment and the simulation data 5 seconds after the start of the simulation; the second detection data 10 seconds after the start of the stirring experiment and the simulation data 10 seconds after the start of the simulation, etc., to obtain verification results and verify the accuracy of the simulation model.

[0077] Specifically, when comparing the stirring effect diagram in the second detection data and the tracer concentration cloud diagram in the simulation data, by comparing the diffusion degree and movement trajectory of the tracer in the stirring effect diagram and the tracer concentration cloud diagram, analyzing whether the flow characteristics (such as flow direction, speed, eddy current, streamline, dead zone, etc.) between the two are consistent, it is determined whether the simulation results accurately reflect the tracer movement trend in the experimental phenomenon, thereby verifying the simulation accuracy. When comparing, the comparison can be made by visual inspection, or the following method can be used for comparison:

[0078] First, high concentration areas and low concentration areas are identified in the tracer concentration cloud map and the stirring effect map respectively; based on the high concentration areas and low concentration areas of the tracer concentration cloud map and the high concentration areas and low concentration areas of the stirring effect map, the concentration gradient of the tracer concentration cloud map and the concentration gradient of the stirring effect map are calculated respectively; then the flow direction and speed of the tracer concentration cloud map are determined according to the concentration gradient of the tracer concentration cloud map, and the flow direction and speed of the stirring effect map are determined according to the concentration gradient of the stirring effect map, and the flow direction and speed of the tracer concentration cloud map and the stirring effect map are compared to obtain the verification result. For example: the concentration gradient can be calculated according to the ratio of the concentration difference and the distance difference between two positions; substances usually diffuse from high concentration areas to low concentration areas, and the flow direction can be determined according to the positive and negative concentration gradient; the flow speed can be calculated according to the concentration gradient through Fick's law.

[0079] Specifically, when comparing the torque and temperature in the second detection data with the torque and temperature in the simulation data, the specific process is:

[0080] Firstly, an experimental stirring power curve is constructed according to the torque in the second detection data, and a simulated stirring power curve is constructed according to the torque in the simulation data; and a growth trend of the experimental stirring power curve and the simulated stirring power curve is compared to obtain a first comparison result;

[0081] Constructing an experimental temperature change curve according to the temperature in the second detection data, and constructing a simulation temperature change curve according to the temperature in the simulation data; comparing the change trends of the experimental temperature change curve and the simulation temperature change curve to obtain a second comparison result;

[0082] The first comparison result and the second comparison result are combined to obtain a verification result, which is equivalent to the verification result including the verification result of torque and the verification result of temperature.

[0083] like Figure 5 As shown in FIG. 1 , in this embodiment, as the rotation speed increases from 20 r / min to 100 r / min, the stirring power also gradually increases. Figure 6 As shown in the figure, in this embodiment, after the cooling water outlet temperature is stabilized, the outlet temperature is measured every 60 seconds and compared with the simulation result. The temperature simulation is not much different from the experimental value, and the error does not exceed 5%. In general, due to the inevitable error between the simulation and experimental equipment, there is a certain difference between the simulation value and the experimental value, but the growth trend of the two curves is consistent, which proves the authenticity of the simulation.

[0084] In general, this embodiment compares the experimental results with the simulation results based on power, temperature, and stirring and mixing effects, and analyzes the accuracy and precision of the simulation based on the results of the comparison between the experiment and the simulation.

[0085] After obtaining the above verification results, the simulation model can also be optimized according to the verification results. For example: test different agitator designs (such as impeller type, impeller diameter and rotation speed) to optimize the fluid mixing efficiency. In this embodiment, according to the verification results, the type of the stirring paddle and / or the height of the stirring paddle from the bottom of the stirring tank are adjusted to optimize the simulation model, and the influence of the change of the paddle type and the height of the stirring paddle from the bottom on the stirring effect is verified. Specifically, the stirring experiment is repeated according to the adjusted stirring paddle parameters, the simulation parameters of the simulation model are changed to re-simulate the stirring process, and then the detection data of the stirring experiment and the simulation data of the simulation process are compared to determine the accuracy of the simulation model. After multiple experiments, the simulation model with the highest accuracy is the final simulation model.

[0086] In summary, this embodiment provides a new stirring experimental platform and verification method, which can effectively measure the key parameters (such as stirring effect, torque, temperature change) in the stirring process of high-viscosity slurry in the laboratory, and use these parameters for simulation optimization to achieve the purpose of efficiently and accurately verifying the simulation accuracy. At the same time, by optimizing the experimental platform and simulation process, the verification cost is reduced and the verification efficiency is improved.

[0087] The purpose of the above embodiments is to exemplarily reproduce and deduce the technical solution of the present invention, and to fully describe the technical solution, purpose and effect of the present invention. Its purpose is to make the public understand the disclosed content of the present invention more thoroughly and comprehensively, and it does not limit the scope of protection of the present invention.

[0088] The above embodiments are not exhaustive enumerations of the present invention, and there may be multiple other implementations not listed. Any replacement and improvement made without violating the concept of the present invention shall fall within the protection scope of the present invention.

Claims

1. A simulation verification method for slurry stirring, characterized in that: include: Prepare a slurry with a target viscosity, and add the slurry to a stirring experimental platform to obtain a slurry to be stirred; When the slurry to be stirred is stable, adding a tracer to a preset position of the slurry to be stirred to obtain first detection data; Stirring the slurry to be stirred in the stirring experimental platform, and acquiring a plurality of second detection data at different times during the stirring process; According to the first detection data, the initial conditions of the pre-built simulation model are set, and simulation analysis is performed to obtain a number of simulation data at different times; The simulation data and the second detection data at the same time are compared to obtain a verification result.

2. The simulation verification method for slurry stirring according to claim 1, characterized in that: The stirring experiment platform includes an experimental device module, a data acquisition module, a cooling module and a camera module. The experimental device module includes a motor, a stirring paddle and a stirring kettle with a glass jacket. The data acquisition module includes a torque sensor and a thermocouple for measuring temperature. The cooling module includes a low-temperature constant temperature circulator for providing circulating cooling water for the stirring kettle.

3. The simulation verification method for slurry stirring according to claim 2, characterized in that: The thermocouples are provided with three, which are used to monitor the water inlet temperature, the water outlet temperature of the low-temperature constant temperature circulator and the temperature of the slurry in the stirring tank respectively.

4. The simulation verification method for slurry stirring according to claim 2, characterized in that: Water of target temperature is introduced into the low-temperature constant temperature circulator in advance, and when the slurry to be stirred is stirred in the stirring experimental platform, the water in the low-temperature constant temperature circulator is pumped into the glass jacket of the stirring tank at a constant pump speed.

5. The simulation verification method for slurry stirring according to claim 1, characterized in that: The second detection data includes a stirring effect diagram, the simulation data includes a tracer concentration cloud diagram, and the comparison of the simulation data and the second detection data to obtain a verification result includes: The verification result is obtained by comparing the flow characteristics in the tracer concentration cloud map and the stirring effect map, wherein the flow characteristics include diffusion degree and movement trajectory.

6. The simulation verification method for slurry stirring according to claim 5, characterized in that: Comparing the flow characteristics in the tracer concentration cloud map and the stirring effect map to obtain the verification result includes: Identify high concentration areas and low concentration areas in the tracer concentration cloud map and the stirring effect map respectively; Based on the high concentration area and the low concentration area, respectively calculating the concentration gradient of the tracer concentration cloud map and the concentration gradient of the stirring effect map; According to the concentration gradient, the flow direction and speed of the tracer concentration cloud map and the stirring effect map are compared to obtain the verification result.

7. The simulation verification method for slurry stirring according to claim 5, characterized in that: The second detection data and the simulation data further include torque and temperature at different times, and the comparing the simulation data and the second detection data to obtain a verification result further includes: constructing an experimental stirring power curve and a simulated stirring power curve respectively according to the torque in the second detection data and the torque in the simulation data; Comparing the growth trends of the experimental stirring power curve and the simulated stirring power curve to obtain a first comparison result; constructing an experimental temperature change curve and a simulation temperature change curve respectively according to the temperature in the second detection data and the temperature in the simulation data; Comparing the variation trends of the experimental temperature variation curve and the simulation temperature variation curve to obtain a second comparison result; The first comparison result and the second comparison result are combined to obtain the verification result.

8. The simulation verification method for slurry stirring according to any one of claims 1 to 7, characterized in that: After obtaining the verification result, optimizing the simulation model according to the verification result includes: According to the verification result, the type of the stirring paddle is adjusted and / or the height of the stirring paddle from the bottom surface of the stirring tank is changed to optimize the simulation model.

9. The simulation verification method for slurry stirring according to any one of claims 1 to 7, characterized in that: Pre-built simulation models including: Constructing a three-dimensional model of the stirring kettle in the stirring experimental platform; Importing the three-dimensional model into a modeling software to obtain an initial model; The boundary conditions of the initial model are set, and the continuity equation, momentum equation and energy equation are solved to obtain the simulation model.

10. The simulation verification method for slurry stirring according to any one of claims 1 to 7, characterized in that: After the slurry is added to the stirring test platform, the slurry is also heated to a preset temperature, and the slurry is rotated at a preset speed in the stirring test platform.

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