CN112380740A - Method, device and equipment for simulating separation of micro-plastic in soil by winnowing and storage medium - Google Patents
Method, device and equipment for simulating separation of micro-plastic in soil by winnowing and storage medium Download PDFInfo
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- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07B—SEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
- B07B11/00—Arrangement of accessories in apparatus for separating solids from solids using gas currents
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07B—SEPARATING SOLIDS FROM SOLIDS BY SIEVING, SCREENING, SIFTING OR BY USING GAS CURRENTS; SEPARATING BY OTHER DRY METHODS APPLICABLE TO BULK MATERIAL, e.g. LOOSE ARTICLES FIT TO BE HANDLED LIKE BULK MATERIAL
- B07B11/00—Arrangement of accessories in apparatus for separating solids from solids using gas currents
- B07B11/06—Feeding or discharging arrangements
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Abstract
The invention discloses a method, a device, equipment and a storage medium for simulating winnowing separation of micro-plastics in soil, and belongs to the technical field of solid waste treatment. The method utilizes Fluent simulation, designs a simulation flow into three stages of device parameter simulation, device performance simulation and device practical simulation, explores the parameters of the designed winnowing separation device and the physical parameters of micro plastic particles, contrasts and analyzes the micro plastic separation effect under different parameters, establishes a parameter adjusting system and an optimal parameter combination of the winnowing device, preliminarily demonstrates the feasibility of applying the winnowing method to the separation of the micro plastic in the soil, and provides a theoretical basis for further utilizing the winnowing method to separate the micro plastic in the soil. The problem of whether the soil micro-plastic winnowing separation device established based on the horizontal wind power separator for the municipal domestic garbage is reasonably usable or not is solved.
Description
Technical Field
The invention belongs to the technical field of solid waste treatment, and relates to a method, a device, equipment and a storage medium for simulating the winnowing separation of micro-plastics in soil.
Background
A large amount of traditional plastics are used to bring great convenience to people, but a large amount of waste plastics which are difficult to recover and degrade in the environment can be cracked into micro plastics with the particle size smaller than 5mm after physical, chemical and biological effects, so that a series of micro plastic pollution is brought to the environment, and in order to control the micro plastic pollution and research the ecological effect and influence of the micro plastic pollution, the micro plastic in the environment needs to be separated and extracted.
At present, the separation of soil micro-plastics is mostly based on a density flotation principle, and the efficiency of separating and extracting the micro-plastics by using the density flotation is high, but new impurities are introduced or the physicochemical properties of a soil medium are damaged, so that the method is only suitable for experimental research or small sample extraction; the air separation method does not destroy soil components, is simple, has large treatment capacity, does not involve the use of chemical reagents and precise instruments, has less investment and simple operation, has industrialized potential, or can become an excellent choice for solving the problem of soil micro-plastic pollution, and the research on recycling waste plastic garbage by the air separation method at home and abroad at present can provide powerful support for air separation of soil micro-plastic.
Because the separation and recovery of the micro-plastics in the current soil are mostly based on density flotation, the micro-plastics are rarely recovered by wind power winnowing, the separation process flow is designed by methods such as scientific theoretical calculation, numerical simulation analysis and the like, the influence factors of the separation efficiency are analyzed and verified, and measures for effectively improving the micro-plastic wind power separation efficiency can be found by modifying the winnowing chamber through simulation.
Disclosure of Invention
In order to overcome the defects that the density flotation method is adopted to separate the micro-plastics in the soil, so that new impurities are introduced and the physical and chemical properties of soil media are damaged, the invention aims to provide a method, a device, equipment and a storage medium for simulating the air separation of the micro-plastics in the soil, and the feasibility of applying the air separation method to the separation of the micro-plastics in the soil is demonstrated.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
a method for simulating the air separation and separation of micro-plastics in soil based on Fluent comprises the following steps:
acquiring basic parameters of an air separation device, and establishing an air separation chamber physical model of a soil micro-plastic air separation device;
step two, preprocessing the physical model of the air separation chamber in the step one based on GAMBIT, and setting simulation parameters of Fluent;
step three, designing a simulation flow based on the simulation parameters in the step two, and simulating the parameters of the winnowing device, the performance of the winnowing device and the practicability of the winnowing device to obtain a simulation result;
and step four, establishing a parameter adjusting system and an optimal parameter combination of the air separation device based on the simulation result of the step three, and completing the air separation and separation simulation of the micro-plastic in the soil.
Preferably, the specific operation of step two is: and (3) establishing a 2D model of the air separation chamber by using GAMBIT software and carrying out grid division, wherein the method comprises the steps of adopting a four-node grid unit for the established plan view and simultaneously dividing grids of the air inlet, the air outlet and the outlet end section of the light collecting hopper of the air separation device.
Preferably, the Fluent simulation parameter setting in the step two comprises,
1) setting two-dimensional double precision, and importing a mesh grid file;
2) checking whether the size of the device is correct, checking whether the grid can be calculated, and adjusting the view;
3) selecting a pressure-based transient solver according to the characteristics of the model;
4) setting operation conditions, keeping default standard atmospheric pressure, opening a gravity option, and setting gravity acceleration in the y direction;
5) selecting an Euler multiphase flow model, setting mesh number of phases, and selecting an implicit solution;
6) selecting a k-epsilon turbulence model, selecting a standard wall function and selecting a discrete phase model;
7) adding a phase material to a material library, and setting the material into fluid particles;
8) defining each phase, wherein the main phase is air, the rest phases are particles with different densities, and setting a syamlal-object function model;
9) defining boundary conditions, wherein an air inlet is a speed inlet, air speed is variable, a feed inlet is a mass inlet, a collection port and an air outlet are set as pressure outlets, and the wall surface is a non-slip heat insulation wall surface;
10) selecting a pressure-speed coupling solution, and keeping other options as default;
11) selecting Hybird Initialization for Initialization;
12) and setting 1000 steps of iterative computation, and solving the model.
Preferably, the parameter simulation of the air separation device in the third step is to perform two-phase simulation by taking the basic parameter of the air separation chamber as a variable; the performance simulation of the winnowing device is to perform two-phase simulation on the performance based on the parameter simulation result of the winnowing device; the practical simulation of the winnowing device is result prediction when the winnowing device is applied.
Preferably, the parameters of the air separation device in the third step include air inlet air speed, air inlet angle, air inlet height and air inlet diameter;
the air speed of the air inlet is 15-25 m/s, the angle of the air inlet is 0-20 degrees, the height of the air inlet is 0.6-0.8 m from the bottom of the device, and the diameter of the air inlet is 0.05-0.1 m.
Preferably, the performance of the air separation device comprises the density of the micro plastic particles, the particle size of the micro plastic particles and the flow rate of the particles; wherein the density of the micro plastic particles is 400-1400 kg/m3The particle size of the micro plastic particles is 0.0005 to 0.001m, and the flow rate of the particles is 0.001 to 0.01 kg/s.
Preferably, the practicability of the winnowing device comprises a built-in baffle, the diameter of a feeding hole and the length of an air inlet pipeline; wherein the built-in baffle is 0-0.02 m, the diameter of the feed inlet is 0.05-1 m, and the length of the air inlet pipeline is 0.05-0.1 m.
Preferably, the air separation and separation simulation of the micro-plastic in the soil in the step four is carried out by using a CFD technology.
The utility model provides a little plastics selection by winnowing separation analogue means in soil, wind selector includes the separator, has seted up air intake, air outlet, feed inlet, heavy material export, medium light material export and light material export on the separator, the feed inlet is located the separator top, air intake and air outlet are located the lateral wall top that is parallel to each other on the separator respectively, heavy material export, medium light material export and light material export are located the separator bottom, and every export all is connected with a collection and fights.
An apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
Compared with the prior art, the invention has the following beneficial effects:
the invention discloses a Fluent-based method for simulating separation of micro-plastics in soil by winnowing, which comprises the steps of firstly obtaining basic parameters of a winnowing device, and preprocessing an obtained winnowing chamber model, wherein the preprocessing aims to convert actual problems into forms which can be accepted by a solver, namely a calculation domain and a grid. And then designing a simulation flow to be three stages of device parameter simulation, device performance simulation and device practical simulation, researching parameters of the designed winnowing separation device and physical parameters of micro plastic particles, carrying out comparative analysis on the micro plastic separation effect under different parameters, establishing a parameter adjustment system and an optimal parameter combination of the winnowing device, preliminarily demonstrating the feasibility of applying the winnowing method to the separation of the micro plastic in the soil, and providing a theoretical basis for further utilizing the winnowing method to separate the micro plastic in the soil. The invention designs the separation process flow by methods of scientific theoretical calculation analysis, numerical simulation analysis and the like, utilizes Fluent simulation to explore the soil micro-plastic winnowing separation device based on winnowing from a plurality of angles, makes preliminary prediction on problems possibly encountered in the practical application process of a winnowing method and a winnowing chamber, and solves the problem of whether the soil micro-plastic winnowing separation device established based on the urban domestic garbage horizontal wind power separator is reasonably usable.
Furthermore, in the parameter simulation stage, the basic parameters of the air separation chamber are mainly taken as variables, and two-phase simulation is carried out, namely the condition of single particles in a gas phase is simulated, so that preliminary adaptive modification is carried out on the air separation chamber; in the performance simulation stage, two-phase simulation on performance is carried out on the basis of the parameter combination of the air separation chambers obtained in the first stage, so that the separation performance of the air separation chambers is determined; the practical simulation stage is used for predicting possible situations when the air separation chamber is connected with other equipment or devices.
Further, by utilizing a Computational Fluid Dynamics (CFD) tool, a simulation diagram of the separation effect of the micro-plastic under different parameter settings can be obtained. When empirical correlation and experimental data are lacked, simulation design can be carried out by utilizing a CFD (computational fluid dynamics) technology, and measures for effectively improving the wind power separation efficiency of the micro-plastics are found.
The invention also discloses a soil micro-plastic winnowing separation simulation device, which is used for realizing the separation method and comprises a separator, wherein the separator is provided with an air inlet, an air outlet, a feed inlet, a heavy material outlet, a medium light material outlet and a light material outlet, the feed inlet is positioned at the top of the separator, the air inlet and the air outlet are respectively positioned above the side walls which are parallel to each other on the separator, the heavy material outlet, the medium light material outlet and the light material outlet are positioned at the bottom of the separator, and each outlet is connected with a collecting hopper. The device has simple structure and easy construction, can be applied to industry, and can obviously reduce the production cost.
Drawings
Fig. 1-1 is a schematic diagram of an air separation chamber model of a four-collecting-bucket air separation device after being modified;
fig. 1-2 is a mesh diagram of the air separation chamber of the modified four-collecting-bucket air separation device;
fig. 2 is a flow chart of model establishment of the winnowing separation simulation method and device of the invention;
fig. 3 is a grid diagram of a model of an air separation chamber of the air separation device;
FIG. 4 is a velocity cloud chart (a) of micro plastic particles, a velocity cloud chart (b) of sand particles and a velocity cloud chart (c) of air flow when the air speed of an air inlet is taken as a variable and V is 15 m/s;
FIG. 5 is a velocity cloud chart (a) of micro plastic particles, a velocity cloud chart (b) of sand particles and a velocity cloud chart (c) of air flow when the air speed of an air inlet is taken as a variable and V is 20 m/s;
FIG. 6 is a velocity cloud chart (a) of micro plastic particles, a velocity cloud chart (b) of sand particles and a velocity cloud chart (c) of air flow when the air speed of an air inlet is taken as a variable and V is 25 m/s;
fig. 7 is a velocity cloud chart (a), a velocity cloud chart (b) of sand and soil particles and a velocity cloud chart (c) of air flow when the wind speed of an air inlet is taken as a variable and V is 15m/s by using the modified four-collecting-hopper air separation chamber;
fig. 8 is a velocity cloud chart (a), a velocity cloud chart (b) of sand and soil particles and a velocity cloud chart (c) of air flow when the wind speed of an air inlet is taken as a variable and V is 20m/s by using the modified four-collecting-hopper air separation chamber;
fig. 9 is a velocity cloud chart (a), a velocity cloud chart (b) of sand and soil particles and a velocity cloud chart (c) of air flow when the wind speed of an air inlet is taken as a variable and V is 25m/s by using the modified four-collecting-hopper air separation chamber;
fig. 10 is a velocity cloud chart (a), a velocity cloud chart (b) of sand particles and an air velocity cloud chart (c) of micro plastic particles when an air inlet angle is taken as a variable and alpha is 10 degrees by using the modified four-collecting-hopper air separation chamber;
fig. 11 is a velocity cloud chart (a), a velocity cloud chart (b) of sand particles and an air velocity cloud chart (c) of micro plastic particles when an air inlet angle is taken as a variable and alpha is 15 degrees by using the modified four-collecting-hopper air separation chamber;
fig. 12 is a velocity cloud chart (a), a velocity cloud chart (b) of sand particles and an air velocity cloud chart (c) of micro plastic particles when an air inlet angle is taken as a variable and alpha is 20 degrees by using the modified four-collecting-hopper air separation chamber;
FIG. 13 is a velocity cloud chart (a) of microplastic particles, a velocity cloud chart (b) of sand particles and an air velocity cloud chart (c) of air flow at a value of 0.6m using the modified four-hopper air separation chamber with the height of an air inlet as a variable;
FIG. 14 is a velocity cloud chart (a) of micro plastic particles, a velocity cloud chart (b) of sand particles and an air velocity cloud chart (c) of air flow when the height of an air inlet of the modified four-collecting-hopper air separation chamber is taken as a variable and the value is 0.8 m;
FIG. 15 is a velocity cloud chart (a) of microplastic particles, a velocity cloud chart (b) of sand particles and an air velocity cloud chart (c) of air flow when the diameter of an air inlet of the modified four-collecting-hopper air separation chamber is taken as a variable and the value is 0.1 m;
FIG. 16 is a velocity cloud chart (a) of microplastic particles, a velocity cloud chart (b) of sand particles and an air velocity cloud chart (c) of air flow at a value of 0.05m using the modified four-hopper air separation chamber with the diameter of the air inlet as a variable;
FIG. 17 shows the use of a modified four hopper winnowing chamber with a microplastic particle density of 400kg/m3、900kg/m3、1400kg/m3And 2600kg/m of a micro-plastic3The velocity cloud pictures (the densities are a, b and c respectively from low to high) of the micro plastic particles with three densities and the velocity cloud picture (d) of the sand particles;
FIG. 18 is a velocity cloud chart of the micro plastic particles (density from low to high, a, b, c) and a velocity cloud chart of the sand particles (d) of three densities at a value of 0.0005m using the modified four-hopper winnowing chamber with the particle size of the micro plastic particles as a variable;
FIG. 19 is a velocity cloud chart (density from low to high, respectively, a, b, c) of micro plastic particles and a velocity cloud chart (d) of sand particles with three densities at a value of 0.01kg/s by using the modified four-collecting-hopper air separation chamber and taking the flow rate of the particles as a variable;
FIG. 20 is a velocity cloud chart (density from low to high, respectively, a, b, c) of micro plastic particles and a velocity cloud chart (d) of sand particles, wherein the velocity cloud chart is three densities, and the velocity cloud chart (d) of micro plastic particles is three densities, and the velocity cloud chart is three densities, wherein the velocity cloud chart is a, b and c) of micro plastic particles and the velocity cloud chart (d) of sand particles, and the velocity cloud chart is three densities, and is obtained by combining heavy material collecting hoppers and;
FIG. 21 is a velocity cloud chart (density from low to high, respectively, a, b, c) of micro plastic particles and a velocity cloud chart (d) of sand particles with three densities at a value of 0.1m by using the modified four-collecting-hopper air separation chamber and taking the diameter of a feed inlet as a variable;
FIG. 22 is a velocity cloud chart of micro plastic particles (density a, b, c from low to high) and a velocity cloud chart of sand particles (d) of three densities at a value of 0.1m using the modified four-hopper wind separation chamber with the length of the air inlet pipeline as a variable.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
a method for simulating the separation of micro-plastics in soil by winnowing based on Fluent mainly comprises the steps of model establishment based on urban garbage separation equipment, pretreatment based on GAMBIT, Fluent simulation parameter setting and design and simulation of a simulation flow, and a flow chart is shown in figure 2.
The method comprises the following specific steps:
the method comprises the following steps: model establishment based on urban garbage sorting equipment
The model is established based on a horizontal type wind power separator for urban domestic garbage, and an air separation chamber of the horizontal type wind power separator comprises an air inlet, an air outlet, a feed inlet, a heavy material collecting hopper, a medium-heavy material collecting hopper and a light material collecting hopper. The length of the winnowing chamber is 1.2m, the height of the winnowing chamber is 1.0m, the diameter of the air outlet is 0.05m, the height of the air outlet is 1.05m, the height of the feed inlet is 1.05m, the length and the height of the heavy material collecting hopper are respectively 0.6m and 0.2m, the length and the height of the medium and heavy material collecting hopper are respectively 0.3 m and 0.2m, and the length and the height of the light material collecting hopper are respectively 0.3 m and 0.2 m.
Step two: GAMBIT-based pretreatment
The purpose of the preprocessing is to convert the actual problems into forms which can be accepted by a solver, namely a calculation domain and a grid, and to establish a 2D model of the air separation chamber by using GAMBIT software and carry out grid division.
The main operation content comprises the steps that a four-node grid unit is adopted for the established plan view, grids of the cross sections of an air inlet, an air outlet and the outlet end of the light collecting hopper of the air separation chamber are divided at the same time, a Successive Ratio parameter is set to be 1, an Interval size parameter is set to be 0.01, and grid node Interval size parameters of other edges are set to be 0.1 according to the conventional method; establishing a surface grid after completing the division of model edges, as shown in fig. 3, setting Elements as Quad/Tri, setting category as Pave, setting Interval size as 1, and finally dividing 28628 grid units; setting boundary conditions of the grid diagram, setting an air Inlet of the air separation chamber to be Velocity-Inlet, setting a feed Inlet of the air separation chamber to be Mass-Flow-Inlet, setting outlets of the three material collection hoppers and an air outlet of the three material collection hoppers to be Outflow, and setting the rest undefined edge to be Wall.
Step three: fluent simulation parameter setting
The parameters are set as follows: (1) setting 2D and Double Precision, and importing a mesh grid file; (2) checking whether the device size is correct in Scale, checking whether the grid can be calculated in Check, displaying the grid and adjusting the view; (3) selecting a pressure-based transient solver according to the characteristics of the model; (4) setting operation conditions, keeping default standard atmospheric pressure, opening gravity option, and setting gravity acceleration of-9.8 m/s in y direction2(ii) a (5) Selecting an Euler multiphase flow model and setting mesh number of phases (in the invention, a device parameter simulation stage adopts 2 phases, and a device performance simulation and device use simulation stage adopts 3 phases), and selecting an implicit solution; (6) selecting a k-epsilon turbulence model, selecting a standard wall function and selecting a discrete phase model; (7) adding a phase material into a material library, and setting the material as fluid particles's', wherein the value of the fluid particles's' is a selectable variable; (8) defining each phase, wherein the main phase is air, the rest phases are particles with different densities, the particle size of the particles is set to be 1mm, and a syamlal-object function model is set; (9) defining boundary conditions: the air inlet is a speed inlet, and the air speed is a variable of the invention; the feed inlet is a mass inlet, and the value of the mass inlet is required to meet the requirement that the particles are not influenced mutually in the gravity settling process during sorting, namely free settling; the volume fraction of particles in a gas-solid heterogeneous system is kept below 0.1 percent and is mainly influenced by parameters such as wind speed, the diameter of an air inlet and the like, the device parameter simulation stage is preliminarily set to be 0.001kg/s, the device parameter simulation stage meets the conditions through calculation and verification, the y direction is set to be-1, and the x direction is set to be 0; the collection port and the air outlet are arranged as a pressure outlet and a wall surfaceA non-slip heat insulation wall surface; (10) selecting a pressure-speed coupling solution, and keeping other options as default; (11) selecting Hybird Initialization for Initialization; (12) and setting 1,000 steps of iterative calculation and solving the model.
Step four: design and simulation of simulation flow
The simulation process comprises three stages of device parameter simulation, device performance simulation and device practical simulation. In the parameter simulation stage, the basic parameters of the air separation chamber are mainly taken as variables, and two-phase simulation is carried out, namely the condition of single particles in a gas phase is simulated, so that preliminary adaptive modification is carried out on the air separation chamber; in the performance simulation stage, two-phase simulation on performance is carried out on the basis of the parameter combination of the air separation chambers obtained in the first stage, so that the separation performance of the air separation chambers is determined; the practical simulation stage is used for predicting possible situations when the air separation chamber is connected with other equipment or devices.
The variable setting of the device parameter simulation process comprises air inlet air speed (m/s), air inlet angle (angle system), air inlet height (m) and air inlet diameter (m), wherein the air inlet air speed is 15, 20 and 25m/s, the air inlet angle is 0 degree, 10 degree, 15 degree and 20 degree, the air inlet height is 0.7m away from the bottom of the device, 0.1m moves up and 0.1m moves down, the air inlet diameter is 0.075m, 1/3 is enlarged and 1/3 times is reduced. The simulation comprises the following steps:
when the wind speed of the air inlet is used as a variable to simulate the influence of the wind speed on the airflow field and the sorting effect in the air separation chamber, the selected density of the particles is 900kg/m3And 2600kg/m of a micro-plastic3The angle of the air inlet of the sandy soil is 0 degree, the position of the air inlet is 0.7m away from the bottom of the device, and the diameter of the air inlet is 0.075 m. Setting the wind speed of the air inlet at 15m/s, and performing numerical simulation to obtain a micro plastic particle speed cloud picture, a sand particle speed cloud picture and an air speed cloud picture (see figure 4) when V is 15 m/s; setting the wind speed of an air inlet at 20m/s, and performing numerical simulation to obtain a micro plastic particle speed cloud picture, a sandy soil particle speed cloud picture and an air flow speed cloud picture (see fig. 5) when V is 20 m/s; setting the air speed of an air inlet at 25m/s, and performing numerical simulation to obtain a micro plastic particle speed cloud picture, a sandy soil particle speed cloud picture and an air speed cloud picture (see fig. 6) when V is 25 m/s; comparison ofAnd analyzing the soil micro-plastic simulation separation effect of different air inlet wind speeds.
The simulation structure analysis shows that the wind speed within the interval of 15-25 m/s has the capability of separating two kinds of particles with larger density difference, and has the potential of separating the particles with various density gradients. The air separation chamber is initially modified by adding a collecting hopper which is named as a heavy material collecting hopper, a medium light material collecting hopper and a light material collecting hopper in sequence (see figure 1), sand particles are expected to be completely settled to the first two collecting hoppers, and light micro plastic particles are expected to be settled to the second two collecting hoppers.
When the modified four-collecting-bucket air separation chamber is used and the influence of the air speed of the air inlet on the airflow field and the separation effect in the air separation chamber is simulated by taking the air speed of the air inlet as a variable, the density of the particulate matters is selected to be 900kg/m3And 2600kg/m of a micro-plastic3The angle of the air inlet of the sandy soil is 0 degree, the position of the air inlet is 0.7m away from the bottom of the device, and the diameter of the air inlet is 0.075 m. Setting the wind speed of the air inlet at 15m/s, and performing numerical simulation to obtain a micro plastic particle speed cloud picture, a sand particle speed cloud picture and an air speed cloud picture (see fig. 7) when V is 15 m/s; setting the air speed of an air inlet at 20m/s for numerical simulation to obtain a micro plastic particle speed cloud picture, a sandy soil particle speed cloud picture and an air speed cloud picture (see figure 8) when V is 20 m/s; setting the air speed of an air inlet at 25m/s, and performing numerical simulation to obtain a micro plastic particle speed cloud picture, a sandy soil particle speed cloud picture and an air speed cloud picture (see fig. 9) when V is 25 m/s; according to the simulation result, the optimal air inlet air speed condition of the soil micro-plastic winnowing separation simulation method and device is found through comparative analysis, the result shows that the optimal air speed is selected to be 20m/s, and meanwhile, under the condition that the air speed is 15m/s, the parameters have larger adjustable space and can also be selected.
When the air inlet angle is used as a variable to simulate the influence of the air inlet angle on the airflow field and the sorting effect in the air separation chamber, the selected density of the particles is 900kg/m3And 2600kg/m of a micro-plastic3The speed of the air inlet of the sandy soil is 20m/s, the position of the air inlet is 0.7m away from the bottom of the device, and the diameter of the air inlet is 0.075 m. The numerical simulation is carried out by setting the angle of the air inlet to 10 degrees, and the angle of alpha is 10 degreesThe velocity cloud chart of the micro plastic particles, the velocity cloud chart of the sand particles and the air velocity cloud chart (see figure 10); performing numerical simulation by setting the angle of the air inlet at 15 degrees to obtain a velocity cloud chart of the micro plastic particles, a velocity cloud chart of the sand particles and an air velocity cloud chart (see fig. 11) when the angle alpha is 15 degrees; setting the angle of the air inlet at 20 degrees for numerical simulation to obtain a velocity cloud picture of micro plastic particles, a velocity cloud picture of sand particles and an air velocity cloud picture (see figure 12) when the angle alpha is 20 degrees; according to the simulation result, the optimal air inlet angle condition of the soil micro-plastic winnowing separation simulation method and device is found through comparison and analysis, and the optimal air inlet angle is 15 degrees.
When the height of the air inlet is used as a variable to simulate the influence of the air inlet on the airflow field and the sorting effect in the air separation chamber, the selected density of the particles is 900kg/m3And 2600kg/m of a micro-plastic3The speed of the air inlet of the sandy soil is 20m/s, the angle of the air inlet is 15 degrees, and the diameter of the air inlet is 0.075 m. Setting the height of the air inlet to be 0.1m below the set air inlet position (0.7m) for numerical simulation, and obtaining a velocity cloud picture of micro plastic particles, a velocity cloud picture of sand particles and a velocity cloud picture of air flow (see figure 13) when the height of the air inlet is 0.6 m; setting the height of the air inlet to be 0.1m above the set air inlet position (0.7m) for numerical simulation, and obtaining a velocity cloud chart of micro plastic particles, a velocity cloud chart of sand particles and a velocity cloud chart of air flow (see figure 14) when the height of the air inlet is 0.8 m; according to the simulation result, the optimal air inlet height condition of the method and the device for simulating the air separation and separation of the micro-plastics in the soil is found through comparison and analysis, and the result shows that the position of the air inlet is unchanged, namely the optimal position is the position 0.7m away from the bottom of the device.
When the diameter of the air inlet is used as a variable to simulate the influence of the air inlet on the airflow field and the sorting effect in the air separation chamber, the particle is selected from the micro plastic with the density of 900kg/m3 and the micro plastic with the density of 2600kg/m3The speed of the air inlet of the sandy soil is 20m/s, the angle of the air inlet is 15 degrees, and the position of the air inlet is 0.7m away from the bottom of the device. The diameter of the air inlet is expanded 1/3 times on the basis of drawing the diameter of the air inlet (0.075m) to carry out numerical simulation, and a velocity cloud chart of micro plastic particles, a velocity cloud chart of sand particles and a velocity cloud chart of air flow (see the figure) when the diameter of the air inlet is 0.1m are obtainedFig. 15); setting the diameter of the air inlet as 1/3 times of the planned diameter of the air inlet (0.075m) for numerical simulation, and obtaining a velocity cloud chart of micro plastic particles, a velocity cloud chart of sand particles and an air flow velocity cloud chart (see figure 16) when the diameter of the air inlet is 0.05 m; according to the simulation result, the optimal air inlet diameter condition of the soil micro-plastic winnowing separation simulation method and device is found through comparison and analysis, and the result shows that the air inlet diameter is kept unchanged, namely the optimal air inlet diameter condition is 0.075 m.
Variable settings for the device performance simulation process include microplastic particle density (kg/m)3) Particle size (m) of the microplastic particles and particle flow (kg/s), wherein the microplastic particle density (kg/m)3) Including 400, 900 and 1400kg/m3The particle sizes of the microplastic particles were 0.001 and 0.0005m, and the particle flow rates were 0.001 and 0.01 kg/s. The simulation comprises the following steps:
when the influence of the micro plastic particle density on the airflow field and the sorting effect in the air separation chamber is simulated by taking the micro plastic particle density as a variable, the speed of the air inlet is 20m/s, the angle of the air inlet is 15 degrees, the position of the air inlet is 0.7m away from the bottom of the device, the diameter of the air inlet is 0.075m, the particle size of the micro plastic particles is 0.001m, and the particle flow rate is 0.001 kg/s. The density of the selected particles is 400kg/m3、900kg/m3、1400kg/m3And 2600kg/m of a micro-plastic3Performing numerical simulation on the sandy soil to obtain a velocity cloud picture of the micro plastic particles and a velocity cloud picture of the sandy soil particles with three densities (see figure 17); and (4) according to the simulation result, analyzing and verifying whether the sorting effect of the micro-plastics with the three densities meets the expectation, and finding that the sorting effect basically meets the expectation.
When the influence of the particle size of the micro plastic particles on the airflow field and the sorting effect in the air separation chamber is simulated by taking the particle size of the micro plastic particles as a variable, the speed of the air inlet is 20m/s, the angle of the air inlet is 15 degrees, the position of the air inlet is 0.7m away from the bottom of the device, the diameter of the air inlet is 0.075m, and the selected density of the particles is 400kg/m3、900kg/m3、1400kg/m3And 2600kg/m of a micro-plastic3The flow rate of the particles in the sand of (2) was 0.001 kg/s. The particle diameter of the micro plastic particles is reduced by 1 time on the basis of the particle diameter (0.001m) of the planned micro plastic particles, and numerical simulation is carried out to obtain the particle diameter of 0.0005m, a velocity cloud chart of micro plastic particles with three densities and a velocity cloud chart of sand particles (see fig. 18); according to the simulation result, whether the reduction of the particle size of the micro plastic particles influences the separation effect is verified through analysis, and as a result, the difference of the sedimentation transverse distance is reduced after the particle size of the particles is reduced, and the lighter plastic is blown up, so that the particle size reduction of the particles can be seen, and other parameters can be adjusted to complete separation.
When the flow of the particulate matters is used as a variable to simulate the influence of the flow of the particulate matters on the airflow field and the sorting effect in the air separation chamber, the speed of the air inlet is 20m/s, the angle of the air inlet is 15 degrees, the position of the air inlet is 0.7m away from the bottom of the device, the diameter of the air inlet is 0.075m, and the selected density of the particulate matters is 400kg/m3、900kg/m3、1400kg/m3And 2600kg/m of a micro-plastic3The particle size of the micro plastic particles of the sandy soil is 0.001 m. The particle flow is set to be enlarged by 10 times on the basis of setting the particle flow (0.001kg/s) to carry out numerical simulation, and a velocity cloud chart of the micro plastic particles with three densities and a velocity cloud chart of the sand particles with the particle flow of 0.01kg/s are obtained (see figure 19); according to the simulation result, whether the expansion of the particle flow can affect the sorting effect is verified through analysis, and the result shows that the increase of the mass flow enables the particle cloud image to be enlarged, but the sorting difference is not large, and in an acceptable range, the mass flow can be maintained at an initial value or slightly increased in order to prevent the sorting efficiency from being reduced.
The variables of the practical simulation process of the device comprise a built-in baffle (m), a feed inlet diameter (m) and an air inlet pipeline length (m), wherein the built-in baffle comprises 0m and 0.02m, the feed inlet diameter is 0.05m and 0.1m, and the air inlet pipeline length is 0.05m and 0.1 m. The simulation comprises the following steps:
when the influence of the separation chamber on the airflow field and the separation effect in the air separation chamber is simulated by taking whether the separation chamber has the built-in baffle as a variable, the speed of the air inlet is 20m/s, the angle of the air inlet is 15 degrees, the position of the air inlet is 0.7m away from the bottom of the device, the diameter of the air inlet is 0.075m, and the selected density of the particles is 400kg/m3、900kg/m3、1400kg/m3And 2600kg/m of a micro-plastic3The sand and the particle diameter of the micro plastic particles are 0.001m, and the particles areThe flow rate is 0.001kg/s, the diameter of the feed inlet is 0.05m, and the length of the air inlet pipeline is 0.05 m. Combining heavy and medium-heavy material collecting hoppers, and setting a built-in baffle plate with the height of 0.02m between the medium-heavy material collecting hopper and the medium-light material collecting hopper for numerical simulation to obtain a velocity cloud picture of micro plastic particles and a velocity cloud picture of sand particles with three densities (see figure 20); according to the simulation result, whether the separation efficiency of sandy soil and micro plastic can be improved or not is verified through analysis, and the problem that micro plastic particles are unstable in sedimentation due to the fact that a low-speed area is formed behind the baffle is discovered as a result.
When the influence of the diameter of the feeding hole on the airflow field and the sorting effect in the air separation chamber is simulated by taking the diameter of the feeding hole as a variable, the speed of the air inlet is 20m/s, the angle of the air inlet is 15 degrees, the position of the air inlet is 0.7m away from the bottom of the device, the diameter of the air inlet is 0.075m, and the selected density of the particles is 400kg/m3、900kg/m3、1400kg/m3And 2600kg/m of a micro-plastic3The sand has particle size of micro plastic particles of 0.001m, particle flow of 0.001kg/s, a built-in baffle plate with height of 0.02m arranged in the separation chamber, and the length of the air inlet pipeline of 0.05 m. The diameter of the feed inlet is enlarged by 1 time on the basis of drawing up the diameter of the feed inlet (0.05m) to carry out numerical simulation, and a velocity cloud chart of the micro plastic particles and a velocity cloud chart of the sand particles with three densities with the diameter of the feed inlet of 0.1m are obtained (see figure 21); according to the simulation result, the influence of the expansion of the diameter of the feed inlet on the sorting effect is verified through analysis, and the result shows that the expansion of the feed inlet obviously enhances the sorting effect of the micro plastic particles, and the built-in baffle plate can be used for sorting 1400kg/m3The heavier micro plastic of (2) causes certain obstruction, and can be solved by properly adjusting the height of the baffle.
When the length of the air inlet pipeline is used as a variable to simulate the influence of the air inlet pipeline on the airflow field and the sorting effect in the air separation chamber, the speed of the air inlet is 20m/s, the angle of the air inlet is 15 degrees, the position of the air inlet is 0.7m away from the bottom of the device, the diameter of the air inlet is 0.075m, and the selected density of the particulate matters is 400kg/m3、900kg/m3、1400kg/m3And 2600kg/m of a micro-plastic3The sand has the particle diameter of micro plastic particles of 0.001m and the particle flow of 0.001kg/s, a built-in baffle plate with the height of 0.02m is arranged in the separation chamber,the diameter of the feed inlet was 0.05 m. The length of the air inlet pipeline is expanded by 1 time on the basis of setting the length of the air inlet pipeline (0.05m) to carry out numerical simulation, and three densities of a velocity cloud chart of micro plastic particles and a velocity cloud chart of sand particles (see figure 22) with the length of the air inlet pipeline of 0.1m are obtained; according to the simulation result, the influence of the expansion of the length of the air inlet pipeline on the sorting effect is verified through analysis, and the result shows that the increase of the length of the air inlet pipeline does not bring obvious changes of air flow and particle tracks, and the influence on the whole sorting process is small.
By contrastively analyzing the separation effect of the micro-plastic, a parameter adjusting system and an optimal parameter combination of the winnowing device are established, and the feasibility of applying the winnowing method to the separation of the micro-plastic in the soil is preliminarily demonstrated.
The channel estimation method based on the deep neural network can be stored in a computer readable storage medium if the channel estimation method is realized in the form of a software functional unit and sold or used as an independent product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. Computer-readable storage media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice. The computer storage medium may be any available medium or data storage device that can be accessed by a computer, including but not limited to magnetic memory (e.g., floppy disk, hard disk, magnetic tape, magneto-optical disk (MO), etc.), optical memory (e.g., CD, DVD, BD, HVD, etc.), and semiconductor memory (e.g., ROM, EPROM, EEPROM, nonvolatile memory (NANDFLASH), Solid State Disk (SSD)), etc.
In an exemplary embodiment, a computer device is also provided, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the deep neural network based channel estimation method when executing the computer program. The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (10)
1. A method for simulating the air separation and separation of micro-plastics in soil based on Fluent is characterized by comprising the following steps:
acquiring basic parameters of an air separation device, and establishing an air separation chamber physical model of a soil micro-plastic air separation device;
step two, preprocessing the physical model of the air separation chamber in the step one based on GAMBIT, and setting simulation parameters of Fluent;
step three, designing a simulation flow based on the simulation parameters in the step two, and simulating the parameters of the winnowing device, the performance of the winnowing device and the practicability of the winnowing device to obtain a simulation result;
and step four, establishing a parameter adjusting system and an optimal parameter combination of the air separation device based on the simulation result of the step three, and completing the air separation and separation simulation of the micro-plastic in the soil.
2. The soil micro-plastic winnowing separation simulation method according to claim 1, wherein the specific operation of the second step is as follows: and (3) establishing a 2D model of the air separation chamber by using GAMBIT software and carrying out grid division, wherein the method comprises the steps of adopting a four-node grid unit for the established plan view and simultaneously dividing grids of the air inlet, the air outlet and the outlet end section of the light collecting hopper of the air separation device.
3. The method for simulating the winnowing separation of the micro-plastics in the soil according to claim 1, wherein the Fluent simulation parameter setting of the step two comprises,
1) setting two-dimensional double precision, and importing a mesh grid file;
2) checking whether the size of the device is correct, checking whether the grid can be calculated, and adjusting the view;
3) selecting a pressure-based transient solver according to the characteristics of the model;
4) setting operation conditions, keeping default standard atmospheric pressure, opening a gravity option, and setting gravity acceleration in the y direction;
5) selecting an Euler multiphase flow model, setting mesh number of phases, and selecting an implicit solution;
6) selecting a k-epsilon turbulence model, selecting a standard wall function and selecting a discrete phase model;
7) adding a phase material to a material library, and setting the material into fluid particles;
8) defining each phase, wherein the main phase is air, the rest phases are particles with different densities, and setting a syamlal-object function model;
9) defining boundary conditions, wherein an air inlet is a speed inlet, air speed is variable, a feed inlet is a mass inlet, a collection port and an air outlet are set as pressure outlets, and the wall surface is a non-slip heat insulation wall surface;
10) selecting a pressure-speed coupling solution, and keeping other options as default;
11) selecting Hybird Initialization for Initialization;
12) and setting 1000 steps of iterative computation, and solving the model.
4. The method for simulating the winnowing separation of micro-plastics in soil according to claim 1, wherein the parameter simulation of the winnowing device in the third step is a two-phase simulation with the basic parameters of the winnowing chamber as variables; the performance simulation of the winnowing device is to perform two-phase simulation on the performance based on the parameter simulation result of the winnowing device; the practical simulation of the winnowing device is result prediction when the winnowing device is applied; and step four, the winnowing separation simulation of the micro-plastic in the soil is carried out by utilizing a CFD technology.
5. The soil micro-plastic winnowing separation simulation method according to claim 1, wherein the parameters of the winnowing device in the third step include air inlet air speed, air inlet angle, air inlet height and air inlet diameter;
the air speed of the air inlet is 15-25 m/s, the angle of the air inlet is 0-20 degrees, the height of the air inlet is 0.6-0.8 m from the bottom of the device, and the diameter of the air inlet is 0.05-0.1 m.
6. The soil microplastic air separation simulation method of claim 1, wherein the performance of the air separation device comprises microplastic particle density, microplastic particle size, and particulate matter flow rate; wherein the density of the micro plastic particles is 400-1400 kg/m3The particle size of the micro plastic particles is 0.0005 to 0.001m, and the flow rate of the particles is 0.001 to 0.01 kg/s.
7. The soil microplastic winnowing separation simulation method of claim 1, wherein the utility of the winnowing device includes built-in baffles, feed inlet diameter and air inlet pipe length; wherein the built-in baffle is 0-0.02 m, the diameter of the feed inlet is 0.05-1 m, and the length of the air inlet pipeline is 0.05-0.1 m.
8. The soil medium-micro plastic winnowing and separating simulation device for realizing the method of any one of claims 1 to 7, wherein the winnowing device comprises a separator, an air inlet, an air outlet, a feed inlet, a heavy material outlet, a medium light material outlet and a light material outlet are formed in the separator, the feed inlet is positioned at the top of the separator, the air inlet and the air outlet are respectively positioned above the side walls, which are parallel to each other, of the separator, the heavy material outlet, the medium light material outlet and the light material outlet are positioned at the bottom of the separator, and each outlet is connected with a collecting hopper.
9. An apparatus comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115691709A (en) * | 2022-09-19 | 2023-02-03 | 西北农林科技大学 | Simulation method for researching transport law of micro plastic particles in water flow intersection area |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101823019A (en) * | 2010-05-07 | 2010-09-08 | 北京昊海天际科技有限公司 | Air separation device and method of garbage |
| CN102567559A (en) * | 2010-12-31 | 2012-07-11 | 贵州中烟工业有限责任公司 | Simulation method in pneumatic cut tobacco feeding process |
| WO2013166830A1 (en) * | 2012-05-07 | 2013-11-14 | 西安交通大学 | Method for sorting and comprehensively using urban mixed garbage |
| CN109701887A (en) * | 2018-12-29 | 2019-05-03 | 常州工学院 | A kind of light materials separator that intelligent construction garbage regeneration utilizes |
| CN109977606A (en) * | 2019-04-15 | 2019-07-05 | 河南工业大学 | A kind of brick based on Computer Simulation and mounting technology and concrete block separator design method |
-
2020
- 2020-10-23 CN CN202011148618.4A patent/CN112380740A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101823019A (en) * | 2010-05-07 | 2010-09-08 | 北京昊海天际科技有限公司 | Air separation device and method of garbage |
| CN102567559A (en) * | 2010-12-31 | 2012-07-11 | 贵州中烟工业有限责任公司 | Simulation method in pneumatic cut tobacco feeding process |
| WO2013166830A1 (en) * | 2012-05-07 | 2013-11-14 | 西安交通大学 | Method for sorting and comprehensively using urban mixed garbage |
| CN109701887A (en) * | 2018-12-29 | 2019-05-03 | 常州工学院 | A kind of light materials separator that intelligent construction garbage regeneration utilizes |
| CN109977606A (en) * | 2019-04-15 | 2019-07-05 | 河南工业大学 | A kind of brick based on Computer Simulation and mounting technology and concrete block separator design method |
Non-Patent Citations (1)
| Title |
|---|
| 李春花, 废塑料薄膜分选关键技术及设备研究, 30 April 2013 (2013-04-30), pages 35 - 41 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115691709A (en) * | 2022-09-19 | 2023-02-03 | 西北农林科技大学 | Simulation method for researching transport law of micro plastic particles in water flow intersection area |
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