TR380 type impeller head structure optimization method based on EDEM discrete element method

Abstract

The invention discloses a TR380 type impeller head structure optimization method based on an EDEM discrete element method. The TR380 type impeller head structure optimization method comprises the steps that a three-dimensional model of a TR380 type impeller head is established through three-dimensional cartographic software; dividing a TR380 type impeller head grid, converting a file format and importing the file format into an EDEM (Extensible Description Model); and simulating the shot blasting process by using an EDEM discrete element method. EDEM simulation software is used for conducting simulation analysis on movement and collision of particles in the impeller head, the influence of different structure parameters on the structure abrasion condition of the impeller head can be simulated, then structure optimization design is conducted, the abrasion degree of the impeller head is reduced, the service life of the impeller head is prolonged, and the service life of the impeller head is prolonged. The optimized impeller head structure can better complete the tasks, meanwhile, due to the fact that the abrasion degree of the impeller head structure is reduced, frequent shutdown for maintenance is not needed, the production efficiency is improved, the replacement frequency and the maintenance cost of the impeller head are reduced, meanwhile, the production efficiency is also improved, the production cost can also be saved, and the production cost is reduced. And the requirements of workers are met.

Description

Technical Field

[0001] The present invention relates to the technical field of numerical simulation analysis, and specifically relates to a method for optimizing the structure of a TR380 type shot blasting machine based on the EDEM discrete element method. Background Art

[0002] A shot blasting machine is a widely used surface treatment device, mainly used for cleaning, removing surface oxides, rust, oil stains and other impurities, as well as increasing surface roughness and other processes, and has a wide range of applications in many fields such as automobile manufacturing, aerospace, machinery manufacturing, and iron and steel smelting.

[0003] A shot blasting machine generally consists of a feeding system, a cleaning chamber, a shot blasting machine, a separator, a slag discharging system, a dust removal system and other parts. Among them, the shot blasting machine is the core part of the shot blasting machine, and its main function is to transfer the inertial force generated by the high-speed rotating shot blasting wheel to the surface of the casting, so that the dirt and oxides on the surface of the casting are cleaned, so as to achieve the purpose of surface treatment.

[0004] The shot blasting machine generally uses a direct motor drive to drive the impeller to rotate. Multiple blades are installed on the impeller. When the shot blasting wheel rotates at a high speed, the blades project shot blasting materials (such as steel shots, cast steel shots, aluminum shots, etc.) onto the surface of the casting to clean the dirt and oxides on the surface of the casting. The performance and efficiency of the shot blasting machine directly affect the cleaning effect and production efficiency of the entire shot blasting machine.

[0005] However, there is still room for improvement in the structure of the existing TR380 type shot blasting machine, such as improving the shot blasting efficiency and extending the wear life of vulnerable parts. Therefore, a method for optimizing the structure of the shot blasting machine is needed to improve its performance and efficiency.

[0006] EDEM is a discrete element method (DEM) simulation software that can simulate the physical processes of particulate matter movement and interaction. Compared with the traditional finite element analysis (FEA) method, EDEM has significant advantages in dealing with the movement and interaction of particulate matter.

[0007] Based on the above problems, a method for optimizing the structure of a TR380 type shot blasting machine based on the EDEM discrete element method is proposed. EDEM considers factors such as the shape, size, and material of particulate matter, and can accurately simulate physical processes such as collisions, friction, and elastic deformation between particulate matter, so as to obtain more realistic simulation results. It has a fast calculation speed and can complete multiple simulations in a short time, so as to test different parameter combinations and find the optimal design scheme. It can handle a large number of particulate matter and can perform large-scale simulations to simulate complex engineering problems such as vibration, transportation, and wear. It can visualize the simulation results and observe parameters such as the movement trajectory, speed, and energy of particulate matter, so as to better understand the physical process. Summary of the Invention

[0008] To achieve the objectives in the above-mentioned background art, the technical solution adopted by the present invention is as follows:

[0009] In the first aspect of the present invention, there is provided an optimization method for the structure of a TR380 shot blasting machine based on the EDEM discrete element method, including:

[0010] Using 3D drawing software to establish a 3D model of the TR380 shot blasting machine;

[0011] Dividing the mesh of the TR380 shot blasting machine and converting the file format to import into EDEM;

[0012] Using the EDEM discrete element method to simulate the shot blasting process;

[0013] Using the post-processing function of EDEM to analyze the simulation results of the shot blasting machine;

[0014] Designing an optimization plan, adjusting the structural parameters of the shot blasting machine, and re-performing the simulation to find the optimal structural parameters of the shot blasting machine.

[0015] Preferably, the step of using 3D drawing software to establish a 3D model of the TR380 shot blasting machine specifically includes the following steps:

[0016] Setting the specific parameters of the shot blasting machine according to the actual structure of the shot blasting machine. The parameters include the blade length, width, inner and outer diameters of the impeller, inner and outer diameters of the directional sleeve, opening angle, inner and outer diameters of the splitter wheel, and opening angle;

[0017] After determining the parameters, performing 3D modeling through the drawing software, establishing the part models of the blade, splitter wheel, directional sleeve, and impeller and assembling them;

[0018] Exporting the assembled shot blasting machine model as an IGES format.

[0019] Preferably, importing the shot blasting machine model in IGES format into Ansys Workbench to divide the mesh and exporting it as a mesh format recognizable by EDEM.

[0020] Preferably, the step of using the EDEM discrete element method to simulate the shot blasting process specifically includes the following steps:

[0021] In the EDEM software, setting the particle material module, adding the particle material as cast iron, particle solid density, particle Poisson's ratio, particle shear modulus, particle Young's modulus, particle collision recovery coefficient, particle static friction coefficient, particle rolling friction coefficient, particle diameter, and particle discrete distribution, and setting Normal Size Distribution Parameters to 1 and StdDev to 0.05;

[0022] In the EDEM software, set up the equipment material module, and add the equipment materials as Cr12MoV, the equipment solid density, the equipment Poisson's ratio, the equipment shear modulus, the equipment Young's modulus, the equipment collision recovery coefficient, the equipment static friction coefficient, and the equipment rolling friction coefficient;

[0023] Import the shot blasting machine model in mesh format, add model motion, set the impeller, the distributor wheel, and the blades to rotate at 2900 rpm. Add a virtual geometry model according to the space of the distributor wheel and set it as a particle factory. Set the particles to be 1 kg per second, that is, the shot blasting amount is 1 kg / s;

[0024] Set the reverse direction of the gravitational acceleration in EDEM to the reverse direction of the z-axis, with a value of 9.81 m / s². Enter the physical interface of EDEM. Set the contact model between particles to Hertz-Mindlin (no slip) and Standard Rolling Friction models, and set the contact model between particles and the model to Hertz-Mindlin (no slip), Standard Rolling Friction model, and Oka Wear model;

[0025] Enter the post-processing simulator interface of EDEM, set the time step to 30%, set the total time to 1 s, and set the time interval for saving to 0.01 s to start the simulation.

[0026] Preferably, the solid density of the particles is 7200 kg / m³ 3 , the Poisson's ratio of the particles is 0.25, the shear modulus of the particles is 7.3e+10 Pa, the Young's modulus of the particles is 1.825e+10 Pa, the particle collision recovery coefficient is 0.5, the particle static friction coefficient is 0.4, the particle rolling friction coefficient is 0.05, and the particle size is 1 mm, and the particle discrete distribution is Size Distribution-normal.

[0027] Preferably, the solid density of the equipment is 7850 kg / m³, the equipment Poisson's ratio is 0.28, the equipment shear modulus is 8.53e+10 Pa, the equipment Young's modulus is 2.218e+10 Pa, the equipment collision recovery coefficient is 0.5, the equipment static friction coefficient is 0.4, and the equipment rolling friction coefficient is 0.01.

[0028] Preferably, the use of the EDEM post-processing function to analyze the simulation results of the shot blasting machine specifically includes the following steps:

[0029] In the EDEM post-processing module, select the wear analysis option;

[0030] Generate and observe the wear nephograms of the distributor wheel, the directional sleeve, and the blades inside the shot blasting machine;

[0031] Judge the wear degree by the shade of color;

[0032] Extract the wear values. On the wear nephogram, select the regions or key points of interest, and extract the wear values of these regions or key points for recording and analysis;

[0033] Observe the force nephogram. In the EDEM post-processing module, select the force analysis option;

[0034] Generate and observe the force nephograms of the distributor, orienting sleeve, and blades inside the shot blasting machine, pay attention to the direction and magnitude of the force, and analyze the influence of the force on wear;

[0035] Extract the force values. On the force nephogram, similarly select the regions or key points of interest, and extract the force values of these regions or key points, including the magnitude and direction of the force;

[0036] Compare and analyze the extracted wear values and force values to find the regions with severe wear and force.

[0037] Preferably, the method of judging the wear degree by the shade of color specifically includes the following steps:

[0038] Retrieve the pre-set wear color feature set from the database, and assign a wear degree level to each feature;

[0039] Conduct feature analysis on the colors in the wear nephograms of the distributor, orienting sleeve, and blades inside the shot blasting machine to obtain the test color feature set;

[0040] Calculate the similarity based on the wear color feature set and the test color feature set;

[0041] Based on the similarity calculation value, determine the wear degree level of the distributor, orienting sleeve, and blades inside the shot blasting machine;

[0042] The similarity calculation formula is:

[0043] simJaccard(A, B) = |A ∩ B| / |A ∪ B|

[0044] In the formula, A is the wear color feature set, B is the test color feature set, |A ∩ B| is the intersection of the wear color feature set and the test color feature set, and |A ∪ B| is the union of the wear color feature set and the test color feature set.

[0045] Preferably, the method of finding the optimal structural parameters of the shot blasting machine specifically includes the following steps:

[0046] Design an optimization plan, adjust the structural parameters of the shot blasting machine, and re-conduct the simulation;

[0047] Find the optimal structural parameters of the shot blasting machine, and adjust the structural parameters of the distributor wheel, directional sleeve, and blades inside the shot blasting machine;

[0048] Conduct multiple groups of simulation comparisons again to find the optimal structural parameters of the shot blasting machine.

[0049] In a second aspect of the present invention, there is also provided an electronic device. The electronic device includes at least one processor; and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to execute the method of the first aspect of the present invention.

[0050] Compared with the prior art, the present invention provides a method for optimizing the structure of a TR380 type shot blasting machine based on the EDEM discrete element method, having the following beneficial effects:

[0051] 1. Improve the equipment life: During the operation of the shot blasting machine, it will inevitably be impacted and worn by particulate matter, so its life is generally short. By using EDEM simulation software to simulate the movement and collision of particles inside the shot blasting machine, the influence of different structural parameters on the structural wear of the shot blasting machine can be simulated, and then the structural optimization design can be carried out, thereby reducing the wear degree of the shot blasting machine and extending its service life.

[0052] 2. Reduce the maintenance cost: The shot blasting machine needs to be maintained and serviced during long-term use, including cleaning, replacing damaged parts, etc. By optimizing the structural design, the service life of the shot blasting machine can be extended, thereby reducing the number of maintenance and component replacement times and reducing the maintenance cost.

[0053] 3. Improve the production efficiency: The shot blasting machine is a commonly used surface treatment equipment in the manufacturing industry. It can clean the surface of castings, remove dirt and oxide impurities, etc., improve the surface roughness of castings, etc., thereby improving the quality of products. The optimized structure of the shot blasting machine can better complete these tasks. At the same time, due to its reduced wear degree, it does not need to be shut down frequently for maintenance, thus improving the production efficiency.

[0054] 4. Save costs: By optimizing the structural design of the shot blasting machine, its wear degree can be reduced, thereby reducing the replacement times and maintenance cost of the shot blasting machine. At the same time, due to the improvement of production efficiency, the production cost can also be saved. These saved costs can be used for other production links, thereby improving the economic benefits of the enterprise. Description of the Drawings

[0055] Figure 1 It is a schematic diagram of the method for optimizing the structure of a TR380 type shot blasting machine based on the EDEM discrete element method in the present invention;

[0056] Figure 2Schematic diagram of the method for establishing a 3D model of a TR380 shot blasting machine using 3D drawing software in the present invention;

[0057] Figure 3 Schematic diagram of the method for simulating the shot blasting process using the EDEM discrete element method in the present invention;

[0058] Figure 4 Schematic diagram of the method for analyzing the simulation results of the shot blasting machine using the EDEM post-processing function in the present invention;

[0059] Figure 5 Schematic diagram of the method for judging the wear degree by the depth of color in the present invention;

[0060] Figure 6 Schematic diagram of the method for finding the optimal structural parameters of the shot blasting machine in the present invention;

[0061] Figure 7 The block diagram of an exemplary electronic device capable of implementing the embodiments of the present invention is shown;

[0062] Among them, 700 is an electronic device, 701 is a computing unit, 702 is a ROM, 703 is a RAM, 704 is a bus, 705 is an I / O interface, 706 is an input unit, 707 is an output unit, 708 is a storage unit, and 709 is a communication unit. Detailed implementation manners

[0063] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and other obvious variations can be thought of by those skilled in the art.

[0064] Embodiment 1

[0065] Please refer to Figure 1 As shown, in the first aspect of the present invention, a method for optimizing the structure of a TR380 shot blasting machine based on the EDEM discrete element method is provided, including:

[0066] S101. Establish a 3D model of the TR380 shot blasting machine using 3D drawing software;

[0067] S102. Divide the mesh of the TR380 shot blasting machine and convert the file format to import into EDEM;

[0068] S103. Simulate the shot blasting process using the EDEM discrete element method;

[0069] S104. Analyze the simulation results of the shot blasting machine using the EDEM post-processing function;

[0070] S105. Design an optimization plan, adjust the structural parameters of the shot blasting machine, re-perform the simulation, and find the optimal structural parameters of the shot blasting machine.

[0071] Please refer to Figure 2 as shown in the figure, the specific steps for establishing a 3D model of the TR380 shot blasting machine using 3D drawing software are as follows:

[0072] S201. Set the specific parameters of the shot blasting machine according to the actual structure of the shot blasting machine. The parameters include the blade length, width, inner and outer diameters of the impeller, inner and outer diameters of the orienting sleeve, opening angle, inner and outer diameters of the distributor wheel, and opening angle;

[0073] S202. After determining the parameters, perform 3D modeling through the drawing software, establish the part models of the blade, distributor wheel, orienting sleeve, and impeller, and assemble them;

[0074] S203. Export the assembled shot blasting machine model in IGES format.

[0075] Import the shot blasting machine model in IGES format into Ansys Workbench to divide the mesh and export it in mesh format recognizable by EDEM.

[0076] Please refer to Figure 3 as shown in the figure, the specific steps for simulating the shot blasting process using the EDEM discrete element method are as follows:

[0077] S301. In the EDEM software, set the particle material module, add the particle material as cast iron, particle solid density, particle Poisson's ratio, particle shear modulus, particle Young's modulus, particle collision recovery coefficient, particle static friction coefficient, particle rolling friction coefficient, particle diameter, and particle discrete distribution, and set the Normal Size Distribution Parameters to 1 and the Std Dev to 0.05;

[0078] S302. In the EDEM software, set the equipment material module, add the equipment material as Cr12MoV, equipment solid density, equipment Poisson's ratio, equipment shear modulus, equipment Young's modulus, equipment collision recovery coefficient, equipment static friction coefficient, and equipment rolling friction coefficient;

[0079] S303. Import the shot blasting machine model in mesh format, add model motion, set the impeller, distributor wheel, and blade to rotate at 2900 rpm, add a virtual geometry model according to the space of the distributor wheel, and set it as a particle factory, and set the particles to 1 kg per second, that is, the shot blasting volume is 1 kg / s;

[0080] S304. Set the opposite direction of the gravitational acceleration in EDEM to the opposite direction of the z-axis, with a value of 9.81 m / s. Enter the physical interface of EDEM. Set the contact model between particles to the Hertz-Mindlin (no slip) and Standard Rolling Friction models, and the contact model between particles and the model to the Hertz-Mindlin (no slip) and Standard Rolling Friction models and the Oka Wear model;

[0081] S305. Enter the post-processing simulator interface of EDEM. Set the time step to 30%, the total time to 1 s, and the save time interval to 0.01 s to start the simulation.

[0082] The solid density of the particles is 7200 kg / m 3 , the Poisson's ratio of the particles is 0.25, the shear modulus of the particles is 7.3e+10 Pa, the Young's modulus of the particles is 1.825e+10 Pa, the particle collision restitution coefficient is 0.5, the static friction coefficient of the particles is 0.4, the rolling friction coefficient of the particles is 0.05, and the particle diameter is 1 mm. The particle discrete distribution is Size Distribution-normal.

[0083] The solid density of the equipment is 7850 kg / m3, the Poisson's ratio of the equipment is 0.28, the shear modulus of the equipment is 8.53e+10 Pa, the Young's modulus of the equipment is 2.218e+10 Pa, the equipment collision restitution coefficient is 0.5, the static friction coefficient of the equipment is 0.4, and the rolling friction coefficient of the equipment is 0.01.

[0084] Please refer to Figure 4 As shown, using the post-processing function of EDEM to analyze the simulation results of the shot blasting machine specifically includes the following steps:

[0085] S401. In the EDEM post-processing module, select the wear analysis option;

[0086] S402. Generate and observe the wear nephograms of the distributor, directional sleeve, and blades in the shot blasting machine;

[0087] S403. Judge the wear degree by the shade of color;

[0088] S404. Extract the wear values. On the wear nephogram, select the area or key points of interest and extract the wear values of these areas or key points for recording and analysis;

[0089] S405. Observe the force nephogram. In the EDEM post-processing module, select the force analysis option;

[0090] S406. Generate and observe the force cloud maps of the impeller, directional sleeve, and blades inside the shot blasting machine, pay attention to the force directions and magnitudes, and analyze the influence of the forces on wear;

[0091] S407. Extract the force values on the force cloud map. Similarly, select the regions of interest or key points, and extract the force values of these regions or key points, including the magnitude and direction of the force;

[0092] S408. Compare and analyze the extracted wear values and force values to find the regions with severe wear and force.

[0093] Please refer to Figure 5 as shown, judging the wear degree by the color depth specifically includes the following steps:

[0094] S501. Retrieve the pre-set wear color feature set from the database and assign a wear degree level to each feature;

[0095] S502. Conduct feature analysis on the colors in the wear cloud maps of the impeller, directional sleeve, and blades inside the shot blasting machine to obtain the test color feature set;

[0096] S503. Calculate the similarity based on the wear color feature set and the test color feature set;

[0097] S504. Determine the wear degree levels of the impeller, directional sleeve, and blades inside the shot blasting machine based on the similarity calculation values;

[0098] The similarity calculation formula is:

[0099] simJaccard(A, B) = |A ∩ B| / |A ∪ B|

[0100] In the formula, A is the wear color feature set, B is the test color feature set, |A ∩ B| is the intersection of the wear color feature set and the test color feature set, and |A ∪ B| is the union of the wear color feature set and the test color feature set.

[0101] Please refer to Figure 6 as shown, finding the optimal structural parameters of the shot blasting machine specifically includes the following steps:

[0102] S601. Design an optimization plan, adjust the structural parameters of the shot blasting machine, and re-conduct the simulation;

[0103] S602. Find the optimal structural parameters of the shot blasting machine and adjust the structural parameters of the impeller, directional sleeve, and blades inside the shot blasting machine;

[0104] S603. Re-conduct multiple groups of simulation comparisons to find the optimal structural parameters of the shot blasting machine.

[0105] In a second aspect of the present invention, there is also provided an electronic device. Figure 7 FIG. shows a schematic block diagram of an electronic device 700 that can be used to implement embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as, for example, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, for example, personal digital processors, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0106] The electronic device 700 includes a computing unit 701 that can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 702 or a computer program loaded from a storage unit 708 into a random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the electronic device 700 can also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0107] A plurality of components in the electronic device 700 are connected to the I / O interface 705, including: an input unit 706, such as a keyboard, a mouse, etc.; an output unit 707, such as various types of displays, speakers, etc.; a storage unit 708, such as a magnetic disk, an optical disk, etc.; and a communication unit 709, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 709 allows the electronic device 700 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0108] The computing unit 701 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 701 executes the various methods and processes described above, such as methods S101 to S105. For example, in some embodiments, methods S101 to S105 can be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 708. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 700 via the ROM 702 and / or the communication unit 709. When the computer program is loaded into the RAM 703 and executed by the computing unit 701, one or more steps of the methods S101 to S105 described above can be executed. Alternatively, in other embodiments, the computing unit 701 can be configured to execute methods S101 to S105 in any other suitable manner (e.g., by means of firmware).

[0109] The various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special or general programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0110] The program code for implementing the methods of the present invention can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the program code is executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0111] In the context of the present invention, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0112] In order to provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, speech input, or tactile input).

[0113] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0114] A computer system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, can also be a server of a distributed system, or a server incorporating a blockchain.

[0115] In summary, the present invention has the following advantages:

[0116] Improve equipment life: During the operation of the shot blasting machine, it will inevitably be impacted and worn by particulate matter, so its life is generally short. By using EDEM simulation software to simulate the movement and collision of particles inside the shot blasting machine, the influence of different structural parameters on the structural wear of the shot blasting machine can be simulated, and then the structural optimization design can be carried out, so as to reduce the wear degree of the shot blasting machine and extend its service life.

[0117] Reduce maintenance costs: The shot blasting machine needs to be maintained during long-term use, including cleaning, replacing damaged parts, etc. By optimizing the structural design, the service life of the shot blasting machine can be extended, thereby reducing the number of maintenance and component replacements and reducing maintenance costs.

[0118] Improve production efficiency: The shot blasting machine is a commonly used surface treatment equipment in the manufacturing industry. It can clean the surface of castings, remove dirt, oxides and other impurities, improve the surface roughness of castings, etc., thereby improving the quality of products. The optimized structure of the shot blasting machine can better complete these tasks. At the same time, due to its reduced wear degree, it does not need to be shut down frequently for maintenance, thus improving production efficiency.

[0119] Save costs: By optimizing the structural design of the shot blasting machine, its wear degree can be reduced, thereby reducing the replacement times and maintenance costs of the shot blasting machine. At the same time, due to the improvement of production efficiency, production costs can also be saved. These saved costs can be used for other production links, thereby improving the economic benefits of the enterprise.

[0120] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection required by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for optimizing the structure of a TR380 shot blasting machine based on EDEM discrete element method, characterized in that: include: Use 3D mapping software to build a 3D model of the TR380 shot blasting machine; Divide the TR380 shot blasting machine mesh and convert the file format to import into EDEM; Use EDEM discrete element method to simulate the shot blasting process; Analyze the shot blasting machine simulation results using EDEM post-processing function; Design an optimization plan, adjust the structural parameters of the shot blasting machine, re-simulate, and find the optimal structural parameters of the shot blasting machine.

2. The method for optimizing the structure of a TR380 shot blasting machine based on EDEM discrete element method according to claim 1, characterized in that: The three-dimensional model of the TR380 shot blasting machine established by using three-dimensional mapping software specifically includes the following steps: The specific parameters of the shot blasting machine are set according to the actual shot blasting machine structure, and the parameters include the length and width of the blades, the inner and outer diameters of the impeller, the inner and outer diameters of the directional sleeve, the opening angle, the inner and outer diameters of the shot dividing wheel and the opening angle; After determining the parameters, three-dimensional modeling is performed through drawing software to build the parts models of blades, pelletizing wheel, directional sleeve and impeller and assemble them; Export the assembled shot blasting machine model to IGES format.

3. The method for optimizing the structure of a TR380 shot blasting machine based on EDEM discrete element method according to claim 2, characterized in that: The shot blasting machine model in IGES format is imported into Ansys Workbench for meshing and exported into a mesh format recognizable by EDEM.

4. The method for optimizing the structure of a TR380 shot blasting machine based on EDEM discrete element method according to claim 3, characterized in that: The EDEM discrete element method is used to simulate the shot blasting process, which specifically includes the following steps: In the EDEM software, set the particle material module, add the particle material as cast iron material, particle solid density, particle Poisson's ratio, particle shear modulus, particle Young's modulus, particle collision recovery coefficient, particle static friction coefficient, particle rolling friction coefficient, particle size and particle discrete distribution, and set Normal Size Distribution Parameters to 1 and StdDev to 0.05; In the EDEM software, set the equipment material module, add the equipment material as Cr12MoV, equipment solid density, equipment Poisson's ratio, equipment shear modulus, equipment Young's modulus, equipment collision recovery coefficient, equipment static friction coefficient and equipment rolling friction coefficient; Import the shot blasting machine model in mesh format, add model motion, set the impeller and shot-splitting wheel, and set the blade rotation to 2900rpm. Add a virtual geometric model according to the shot-splitting wheel space and set it as a particle factory. Set the particles to 1kg per second, that is, the shot blasting amount is 1kg / s. Set the opposite direction of EDEM's gravity acceleration to the opposite direction of the z-axis, with a value of 9.81 m / s. Enter the physical interface of EDEM, set the contact model between particles to Hertz-Mindlin (no slip) and Standard Rolling Friction model, and the contact model between particles and models to Hertz-Mindlin (no slip) and Standard Rolling Friction model and OkaWear model. Enter the post-processing simulator interface of EDEM, set the time step to 30%, the total time to 1s, the save time interval to 0.01s and start the simulation.

5. The method for optimizing the structure of a TR380 shot blasting machine based on EDEM discrete element method according to claim 4, characterized in that: The particle solid density is 7200 kg / m 3 The Poisson's ratio of the particles is 0.25, the shear modulus of the particles is 7.3e+10Pa, the Young's modulus of the particles is 1.825e+10Pa, the collision recovery coefficient of the particles is 0.5, the static friction coefficient of the particles is 0.4, the rolling friction coefficient of the particles is 0.05, the particle size is 1mm, and the discrete distribution of the particles is SizeDistribution-normal.

6. A method for optimizing the structure of a TR380 shot blasting machine based on EDEM discrete element method according to claim 5, characterized in that: The solid density of the equipment is 7850 kg / m3, the Poisson's ratio of the equipment is 0.28, the shear modulus of the equipment is 8.53e+10Pa, the Young's modulus of the equipment is 2.218e+10Pa, the collision recovery coefficient of the equipment is 0.5, the static friction coefficient of the equipment is 0.4, and the rolling friction coefficient of the equipment is 0.

01.

7. The method for optimizing the structure of a TR380 shot blasting machine based on EDEM discrete element method according to claim 6, characterized in that: The use of EDEM post-processing function to analyze the shot blasting machine simulation results specifically includes the following steps: In the EDEM post-processing module, select the wear analysis option; Generate and observe the wear cloud diagram of the shot blasting wheel, directional sleeve and blades in the shot blasting machine; Determine the degree of wear by the depth of color; Extract wear values ​​On the wear cloud map, select the area or key points of interest, and extract the wear values ​​of these areas or key points for recording and analysis; Observe the force contour diagram. In the EDEM post-processing module, select the force analysis option; Generate and observe the force cloud diagram of the shot-distributing wheel, directional sleeve, and blades in the shot blasting machine, pay attention to the direction and magnitude of the force, and analyze the influence of the force on wear; Extract force values ​​On the force cloud map, select the area or key points of interest and extract the force values ​​of these areas or key points, including the magnitude and direction of the force; The extracted wear values ​​and stress values ​​are compared and analyzed to find out the areas with severe wear and stress.

8. The method for optimizing the structure of a TR380 shot blasting machine based on EDEM discrete element method according to claim 7, characterized in that: The method of judging the degree of wear by color depth specifically comprises the following steps: Retrieving a preset set of wear color features from a database, and assigning a wear degree grade to each feature; Perform feature analysis on the colors in the wear cloud map of the shot-distributing wheel, directional sleeve, and blades in the shot blasting machine to obtain a test color feature set; Calculate similarity based on the wear color feature set and the test color feature set; Based on the similarity calculation value, determine the wear level of the shot-distributing wheel, directional sleeve, and blades in the shot blasting machine; The similarity calculation formula is: simJaccard(A,B)=|A∩B| / |A∪B| Where A is the wear color feature set, B is the test color feature set, |A∩B| is the intersection of the wear color feature set and the test color feature set, and |A∪B| is the union of the wear color feature set and the test color feature set.

9. The method for optimizing the structure of a TR380 shot blasting machine based on EDEM discrete element method according to claim 8, characterized in that: The method of finding the optimal shot blasting machine structural parameters specifically includes the following steps: Design optimization plan, adjust the structural parameters of the shot blasting machine, and re-simulate; Find the best structural parameters of the shot blasting machine, and adjust the structural parameters of the shot blasting wheel, directional sleeve, and blades in the shot blasting machine; Re-conduct multiple sets of simulation comparisons to find the optimal shot blasting machine structural parameters.

10. An electronic device comprising at least one processor; and a memory connected in communication with the at least one processor; characterized in that: The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 9.

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