A research method for particle adhesion; computer equipment and readable storage medium

Abstract

This invention discloses a research method, computer equipment, and readable storage medium for particle adhesion, relating to the field of computer simulation technology. The method includes the following steps: setting up a coupling interface between EDEM and Fluent; setting particle information in EDEM, importing a flow channel model, and setting condition parameters and simulation parameters for simulation; importing a three-dimensional model into Fluent, setting boundary conditions and a calculation model, performing calculations after coupling, and finally exporting particle information. The method provided by this invention can accurately simulate particle adhesion and obtain corresponding results by controlling different operating conditions.

Description

Technical Field

[0001] This invention relates to the field of computer simulation technology, and more specifically to a research method for particle adhesion, computer equipment, and readable storage medium. Background Technology

[0002] In the industrial sector, equipment such as fans and pipelines are susceptible to particle adhesion during operation due to the presence of airborne particulate matter. Various particles can easily adhere to the surfaces of flow channels and blades. Particle adhesion refers to the phenomenon of particles adhering to interfaces or adhering to each other. This adhesion is primarily caused by forces and energy existing between the particles and the solid interface. Adhesive forces mainly include van der Waals forces, electrostatic forces, and capillary forces. Adhesion can accumulate and chain, altering the shape and causing blockages in flow channels, changing surface roughness, altering heat and mass transfer characteristics, affecting dynamic balance, and significantly impacting the normal operation of equipment, its safe operation, and its efficiency and reliability. Furthermore, the maintenance and replacement of large industrial equipment is typically time-consuming and labor-intensive. Therefore, an accurate understanding of the adhesion of tiny particles to the walls of flow channels or blades is crucial for taking appropriate measures, researching and designing products tailored to specific operating conditions, and avoiding cost losses due to uncertainties in adhesion patterns. In light of this, a research method for accurately simulating particle adhesion has become an urgent problem to be solved. Summary of the Invention

[0003] To address the aforementioned problems, this invention provides a research method for particle adhesion, which can accurately simulate particle adhesion and obtain corresponding results by controlling different operating conditions.

[0004] To achieve the above objectives, the present invention adopts the following technical solution:

[0005] A method for studying particle adhesion includes the following steps:

[0006] Step 1: Configure the coupling interface between EDEM and Fluent;

[0007] Step 2: Set particle information in EDEM, import the flow channel model, and then set condition parameters and simulation parameters to perform the simulation;

[0008] Step 3: Import the 3D model into Fluent, set boundary conditions and calculation model, couple them together and perform calculations, and finally export the particle information.

[0009] Optionally, step 1 includes the following sub-steps:

[0010] Check the environment variables, add paths for Fluent and MSVS, create new LIB and INCLUDE variables and add two paths to each, then open the command line and enter the cl command to test;

[0011] Select the corresponding version of the coupling interface and copy it to the target folder.

[0012] Optionally, step 2 includes the following sub-steps:

[0013] In EDEM, check the length and velocity units, view the Environment settings for the region and gravity, and view the Boundary conditions to set the first periodic boundary conditions.

[0014] Add particulate materials and wall materials, set the interactions between particles and between particles and wall materials, and add particles under the particulate materials;

[0015] Add a model, import a mesh file, add a particle generation area, set the size, generate a particle factory, set the particle material and initial velocity, and use the JKR model to characterize particle aggregation and adhesion to the wall.

[0016] Start the simulation and generate a graph. Then adjust the time as the initial state of the particles for wind field simulation. Open the generated input.dem file, change the region size and save it. Start coupling.

[0017] Optionally, step 3 includes the following sub-steps:

[0018] Import the mesh file into Fluent, view the scale, set transient and gravity conditions, set the viscous k-epsilon model, add and set the medium of the fluid region, set the second periodic boundary, import the velocity file, and set the inlet velocity and outlet pressure conditions.

[0019] Set up the UDF, select the Lagrangian coupling method in EDEM, import the DEM file, initialize successfully after successful coupling, set the time step for saving, perform calculations, and finally export the particle information.

[0020] The present invention has the following beneficial effects:

[0021] The technical solution provided by this invention solves the problem of some industrial equipment being subject to the adhesion of tiny particles during operation without being able to determine the specific situation. It can accurately simulate the adhesion of tiny particles to the walls of materials such as pipes and blades, thereby determining the rationality of the pipe and blade design and optimizing related structural designs to enhance product competitiveness. Simultaneously, it can also be used to further improve the performance parameters of related equipment and increase its reliability.

[0022] Furthermore, the present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method described in any of the preceding claims.

[0023] In addition, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in any of the above-mentioned embodiments.

[0024] These features and advantages of the present invention will be disclosed in detail in the following specific embodiments and accompanying drawings. The preferred embodiments or means of the present invention will be shown in detail in conjunction with the accompanying drawings, but are not intended to limit the technical solutions of the present invention. In addition, each of these features, elements and components appearing in the following text and drawings is a plurality of, and different symbols or numbers are used for convenience of representation, but all represent parts with the same or similar construction or function. Attached Figure Description

[0025] The present invention will be further described below with reference to the accompanying drawings:

[0026] Figure 1 This is a schematic diagram of the flow channel model in an embodiment of the present invention;

[0027] Figure 2 This is a flowchart of an embodiment of the present invention;

[0028] Figure 3 This is a particle packing diagram at time 0 in an embodiment of the present invention;

[0029] Figure 4 This is a data comparison chart of the calculation results in an embodiment of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be explained and described below with reference to the accompanying drawings. However, the following embodiments are only preferred embodiments of the present invention and not all of them. Other embodiments obtained by those skilled in the art based on the embodiments in the implementation methods without creative effort are all within the protection scope of the present invention.

[0031] The terms "an embodiment," "example," or "trademark" used in this specification refer to a particular feature, structure, or characteristic described in connection with the embodiment itself that may be included in at least one embodiment disclosed in this patent. The phrase "in an embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment.

[0032] Example:

[0033] This embodiment provides a method for studying particle adhesion, which can accurately simulate particle adhesion. In this embodiment, a rectangular flow channel with a central depression is used as an example for illustration. The specific three-dimensional model is shown below. Figure 1 As shown. The types of adhered particulate matter are powder particles and moist materials. Significant adhesion and agglomeration occur between particles due to electrostatic forces and moisture content. The Hertz-Mindlin with JKR model was used for simulation calculations. The research methods include the following steps, such as... Figure 2 As shown:

[0034] Step 1: Configure the coupling interface between EDEM and Fluent:

[0035] Check the environment variables. The specific paths are related to the software installation location, and those skilled in the art can flexibly choose according to the actual path and software installation location; details will not be elaborated here. Add paths for Fluent and MSVS, create new LIB and INCLUDE variables and add two paths to each, then open the command line and enter the cl command to test and verify that the software can be used normally. Then select the corresponding version of the coupling interface, copy it to the target folder, and complete the preparation for using the software.

[0036] Step 2: Set particle information in EDEM, import the flow channel model, and then set condition parameters and simulation parameters to perform the simulation:

[0037] First, check the length and velocity units in EDEM. The length unit is millimeters, and the velocity unit is m / s. Check the Environment settings for the region and gravity, and check the Boundary conditions to set the first periodic boundary condition.

[0038] Add particulate material and wall material. In this embodiment, the particulate material is named "particle," and the wall material is named "geometry." Set the interactions between particles and between particles and the wall material, including the coefficient of restitution, the coefficient of static friction, and the coefficient of rolling friction. In this embodiment, the three coefficients between particles are 0.1, 0.8, and 0.05; the three coefficients between particles and the assembly material are 0.5, 0.5, and 0.01. Then, add particles with a radius of 6 mm under the particulate material "particle."

[0039] Add such as Figure 1The model shown imports a mesh file, adds particle generation regions (in this embodiment, the particle generation region type is virtual), sets the center position to 400mm, 50mm, 150mm, and the size to 770mm, 88mm, 300mm, and generates a particle factory of type static with a total of 6000 particles. The particle material and initial velocity along the Z-axis are set to 0.5m / s. Figure 3 As shown, the JKR model is used to characterize particle aggregation and adhesion to the wall surface, with the surface energy between particles being 40 J / m². 3 The surface energy between the particles and the assembly material is 40 J / m. 3 .

[0040] Set the simulation parameters: time step to 0.0001s, total time to 5s, data save interval to 0.01s, cell size to 2Rmin. Start the simulation and generate a graph to check if the velocity is stable. Then adjust the time. In this embodiment, the time is adjusted to 0.3s as the initial state of the particles for wind field simulation. Open the generated input.dem file, change the region size and save it, and start coupling.

[0041] Step 3: Import the 3D model into Fluent, set boundary conditions and the calculation model, couple them together, perform the calculation, and finally export the particle information:

[0042] Import the mesh file into Fluent, view the scale, set transient and gravity conditions, set the Viscous k-epsilon model, and add and set the medium for the fluid region. In this embodiment, the fluid region medium is water-liquid. Set the second periodic boundary, import the velocity file, and set the inlet velocity and outlet pressure conditions. In this embodiment, the inlet turbulence specification method is set to Intensity and Hydraulic Diameter, TurbulentIntensity is 2.9, and Hydraulic Diameter is 300. The outlet turbulence specification method is set to Intensity and Hydraulic Diameter, Backflow Turbulent Intensity is 2.9, and Backflow Hydraulic Diameter is 300.

[0043] Set up the UDF, select the Lagrangian coupling method in EDEM, import the DEM file, and initialize after successful coupling. After initialization, set the save time step. In this embodiment, the save time step is set to save every ten time steps, the CFD calculation time step is 0.001s, and the calculation is performed for 2000 steps. After the calculation is completed, export the particle information through EDEM. In this example, keeping the surface energy between particles and between particles and the wall constant, changing the wind speed changes the number of particles adhering to the upper wall. Then, keeping the wind speed constant at 8m / s, changing the surface energy between particles and the wall also changes the number of particles adhering to the upper wall. The corresponding changes are as follows: Figure 4 As shown.

[0044] The technical solution provided in this embodiment solves the problem of some industrial equipment being subject to the adhesion of tiny particles during operation without being able to determine the specific situation. It can accurately simulate the adhesion of tiny particles to the walls of materials such as pipes and blades, thereby determining the rationality of the pipe and blade design, optimizing related structural designs, and enhancing product competitiveness. Simultaneously, it can also be used to further improve the performance parameters of related equipment and enhance equipment reliability.

[0045] Meanwhile, this embodiment provides a computer device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the methods in any of the above embodiments. Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. Accordingly, the computer program can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can implement the methods of any of the above embodiments. Any references to memory, storage, database, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0046] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Those skilled in the art should understand that the present invention includes, but is not limited to, the contents described in the accompanying drawings and the specific embodiments above. Any modifications that do not depart from the functional and structural principles of the present invention will be included within the scope of the claims.

Claims

1. A method for studying particle adhesion, characterized in that, The research method for particle adhesion includes the following steps: Step 1: Configure the coupling interface between EDEM and Fluent; Step 2: Set particle information in EDEM, import the flow channel model, and then set condition parameters and simulation parameters to perform the simulation; Step 3: Import the 3D model into Fluent, set boundary conditions and calculation model, couple them together and perform calculations, and finally export the particle information; Step 1 includes the following sub-steps: Check the environment variables, add paths for Fluent and MSVS, create new LIB and INCLUDE variables and add two paths to each, then open the command line and enter the cl command to test; Select the corresponding version of the coupling interface and copy it to the target folder; Step 2 includes the following sub-steps: In EDEM, check the length and velocity units, view the Environment settings for the region and gravity, and view the Boundary conditions to set the first periodic boundary conditions. Add particulate materials and wall materials, set the interactions between particles and between particles and wall materials, and add particles under the particulate materials; Add a model, import a mesh file, add a particle generation area, set the size, generate a particle factory, set the particle material and initial velocity, and use the JKR model to characterize particle aggregation and adhesion to the wall. Start the simulation and generate a graph. Then adjust the time as the initial state of the particles for wind field simulation. Open the generated input.dem file, change the region size and save it. Start coupling. Step 3 includes the following sub-steps: Import the mesh file into Fluent, view the scale, set transient and gravity conditions, set the viscous k-epsilon model, add and set the medium of the fluid region, set the second periodic boundary, import the velocity file, and set the inlet velocity and outlet pressure conditions. Set up the UDF, select the Lagrangian coupling method in EDEM, import the DEM file, initialize successfully after successful coupling, set the time step for saving, perform calculations, and finally export the particle information.

2. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the method of claim 1.

3. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of claim 1.

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