Chip cleaner type selection method and device, electronic equipment and storage medium

Abstract

The invention provides a chip cleaner type selection method and device, electronic equipment and a storage medium. The method comprises the steps that a set of assembly parameters of a machine tool chip cleaner are determined; based on the component parameters, a three-dimensional chip cleaner component model is constructed; simulation calculation is carried out based on the three-dimensional cutting model and the three-dimensional chip cleaner assembly model, and chip removal performance data of the machine tool chip cleaner under the assembly parameters are obtained; iteratively executing the step of determining a group of component parameters of the chip cleaner of the machine tool until a preset ending condition is met; and on the basis of the chip removal performance data, optimal component parameters of the machine tool chip remover are determined. According to the chip cleaner model selection method provided by the invention, the chip removal process of the machine tool chip cleaner is simulated through discrete element analysis to obtain multiple groups of optimization target data and compare the data, the chip cleaner component parameters under the optimal chip removal performance data are determined, a more accurate and reasonable reference basis is provided for the model selection aspect of the machine tool chip cleaner, and the model selection efficiency is improved. Therefore, the chip removal efficiency of the machine tool chip remover under the optimal component parameters can be greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of machine tool chip removal, and in particular to a chip conveyor selection method, device, electronic equipment and storage medium. Background Art

[0002] With the rapid development of machine tool technology and the improvement of its functions, higher requirements are placed on the functions and performance of machine tool chip conveyors. The performance of the chip conveyor will directly affect the speed of chip discharge during the processing. If the chips cannot be discharged quickly and smoothly, they will accumulate in the machine. On the one hand, the chips carry high heat, causing the temperature inside the machine to rise, aggravating the harshness of the machine tool operating environment, and ultimately affecting the accuracy of the processing equipment and the processing quality of the workpiece; on the other hand, the poor discharge effect causes inconvenience in cleaning, pollution in the workshop and other problems. This puts higher requirements on the chip removal efficiency of the machine tool chip conveyor. The reasonable selection of the chip conveyor can maximize the chip removal efficiency of the machine tool, ensure the smooth discharge of chips, improve processing efficiency, reduce the failure rate, and facilitate maintenance.

[0003] At present, the selection of chip conveyors used in machine tools is mainly evaluated by the designer's experience and cognition. The lack of rationality may lead to low chip removal efficiency. Problems may arise if the parameters are too large or too small, such as screw blockage, motor overload and burning, abnormal machine tool alarm and shutdown, and excessive cost, which seriously affect the normal production capacity and cost control of the machine tool. Summary of the invention

[0004] The present invention provides a chip conveyor selection method, device, electronic equipment and storage medium, which are used to solve the problem that the selection of chip conveyors used in machine tools in the prior art lacks certain rationality, resulting in the inability to greatly improve chip removal efficiency.

[0005] In a first aspect, the present invention provides a method for selecting a chip conveyor, comprising: Determine a set of component parameters of a chip conveyor of a machine tool; Based on the component parameters, construct a three-dimensional chip conveyor component model; Perform simulation calculation based on the three-dimensional chip model and the three-dimensional chip conveyor component model to obtain chip removal performance data of the machine tool chip conveyor under the component parameters; Iteratively performing the step of determining a set of component parameters of a chip conveyor of a machine tool until a preset end condition is reached; Based on the chip removal performance data, optimal component parameters of the machine tool chip conveyor are determined.

[0006] In one embodiment, the simulation calculation is performed based on the three-dimensional chip model and the three-dimensional chip conveyor component model to obtain the chip removal performance data of the machine tool chip conveyor under the component parameters, including: Importing the three-dimensional chip conveyor assembly model and the three-dimensional chip model into a simulation tool; Based on the simulation configuration parameters in the simulation tool, simulation calculation is performed through the three-dimensional chip conveyor component model, the three-dimensional chip model and the chip generation model to obtain a simulation result; According to the simulation results, the chip removal performance data of the machine tool chip conveyor under the component parameters are determined.

[0007] In one embodiment, the three-dimensional chip conveyor assembly model includes at least a screw assembly, and the simulation configuration parameters include at least a first material property parameter of the screw assembly, a second material property parameter of the chip, a first contact parameter between the screw assembly and the chip, a second contact parameter between the chip and the chip, a chip filling parameter, a contact type parameter, and a motion parameter of the screw assembly.

[0008] In one embodiment, the chip removal performance data at least includes the total chip removal time and the chip removal efficiency value at each moment during the chip removal process; Among them, the chip removal efficiency value at each moment is determined by the following method: determining the total number of chips and the number of chips remaining at the time; Subtracting the total number of chips from the remaining number of chips to obtain the number of discharged chips; The chip removal efficiency value at the moment is obtained by dividing the number of discharged chips by the total number of chips.

[0009] In one embodiment, determining the optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data includes: The component parameters corresponding to the shortest total chip removal time and / or the maximum chip removal efficiency value at the target time are determined as the optimal component parameters of the machine tool chip conveyor.

[0010] In one embodiment, the components of the machine tool chip conveyor include at least a chip conveyor trough and a screw assembly; The chip groove is a groove or channel for collecting and discharging chips; The screw assembly is used to push the chips collected in the chip removal groove out through rotational motion.

[0011] In one embodiment, the three-dimensional chip model includes three-dimensional chip models of different materials and different shapes.

[0012] In a second aspect, the present invention further provides a chip conveyor selection device, comprising: A first determination module is used to determine a set of component parameters of a machine tool chip conveyor; A model building module, used for building a three-dimensional chip conveyor component model based on the component parameters; A chip removal performance data acquisition module, used for performing simulation calculation based on a three-dimensional chip model and the three-dimensional chip conveyor component model to acquire chip removal performance data of the machine tool chip conveyor under the component parameters; an iterative execution module, for iteratively executing the steps of determining a set of component parameters of a machine tool chip conveyor until a preset end condition is reached; The second determination module is used to determine the optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data.

[0013] In a third aspect, the present invention provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of any of the above-mentioned chip conveyor selection methods are implemented.

[0014] In a fourth aspect, the present invention further provides a computer-readable storage medium, comprising a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the chip conveyor selection method as described in any one of the above are implemented.

[0015] The chip conveyor selection method, device, electronic device and storage medium provided by the present invention select a set of initial component parameters of a machine tool chip conveyor, construct a three-dimensional chip conveyor component model, and simultaneously obtain the constructed three-dimensional chip model, and import the obtained models into a simulation tool for simulation calculation to obtain the chip removal performance data of the machine tool chip conveyor under the initially set component parameters. The chip removal performance data of the machine tool chip conveyor under multiple sets of component parameters can be obtained by iteratively executing the above steps, and multiple sets of optimization target data can be obtained by simulating the chip removal process of the machine tool chip conveyor through discrete element analysis. The chip conveyor component parameters under the optimal chip removal performance data are determined by comparison based on the multiple sets of optimization target data, thereby providing a more accurate and reasonable reference basis for the selection of machine tool chip conveyors, so that the machine tool chip conveyor under the optimal component parameters can greatly improve the chip removal efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a schematic flow chart of the chip conveyor selection method provided by the present invention.

[0018] Figure 2 It is a schematic diagram of the three-dimensional chip conveyor component model provided by the present invention.

[0019] Figure 3 It is a schematic diagram of the three-dimensional chip model provided by the present invention.

[0020] Figure 4 It is a three-dimensional simulation diagram of the simulation software at different times provided by the present invention.

[0021] Figure 5 It is a schematic diagram of the change of the number of chips in the chip removal groove provided by the present invention over time.

[0022] Figure 6 It is a structural schematic diagram of the chip conveyor selection device provided by the present invention.

[0023] Figure 7 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] The terms "first", "second", etc. in the present invention are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention can be implemented in an order other than those illustrated or described herein.

[0026] Combine the following Figure 1-Figure 7 The invention describes a chip conveyor selection method, device, electronic device and storage medium.

[0027] It should be noted that the chip conveyor selection method provided in the embodiment of the present invention is implemented based on the chip conveyor selection device. The chip conveyor selection method provided by the present invention actually provides a method for optimizing the chip removal efficiency in a machine tool for metal chip cutting, thereby obtaining more reasonable component parameters of the machine tool chip conveyor, facilitating the timely discharge of chips during the processing, maximizing the chip removal efficiency of the machine tool, ensuring the normal processing of the machine tool, reducing the failure rate, facilitating maintenance, etc.

[0028] The embodiment of the present invention describes the chip conveyor selection method by taking a chip conveyor selection device as an execution body as an example.

[0029] Combination Figure 1 , Figure 1 It is a schematic flow chart of the chip conveyor selection method provided by the present invention.

[0030] like Figure 1 As shown, the method includes the following: Step 101, determining a set of component parameters of a machine tool chip conveyor; Step 102: construct a three-dimensional chip conveyor component model based on the component parameters; Step 103, obtaining a three-dimensional chip model; Step 104: Perform simulation calculation based on the three-dimensional chip model and the three-dimensional chip conveyor component model to obtain chip removal performance data of the machine tool chip conveyor under the component parameters; Step 105, iteratively executing the step of determining a set of component parameters of the machine tool chip conveyor until a preset end condition is reached; Step 106: Determine optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data.

[0031] Specifically, the machine tool chip conveyor includes a chip groove and a screw assembly. The chip groove is a groove or channel for collecting and discharging chips, and the screw assembly is used to push the chips collected in the chip groove out through rotational motion. Among them, the configuration of the chip groove is crucial for selecting the appropriate component parameters of the machine tool chip conveyor, because it directly affects the chip removal efficiency and the overall performance of the machine tool.

[0032] Therefore, it is necessary to determine a set of component parameters of the machine tool chip conveyor based on the configuration of the chip groove, where the configuration of the chip groove specifically refers to the shape of the chip groove and the opening angle, etc. The component parameters of the machine tool chip conveyor include but are not limited to parameters such as the presence / absence of a core, diameter, pitch and rotation speed of the screw assembly.

[0033] That is, according to the shape of the chip conveyor groove and the opening angle, the parameters such as the coreless screw assembly, diameter, pitch and speed in the machine tool chip conveyor are assigned respectively to obtain a set of component parameters of the machine tool chip conveyor. The assignment method can randomly select a set of component parameters of the machine tool chip conveyor from multiple sets of pre-set component parameters of the machine tool chip conveyor, or set a set of parameters at the current moment.

[0034] Furthermore, based on the assigned parameters such as core / no core, diameter, pitch and speed, a three-dimensional chip conveyor component model is constructed using three-dimensional modeling software, such as Figure 2 As shown, Figure 2 It is a schematic diagram of a three-dimensional chip conveyor assembly model provided by the present invention, wherein 1 represents a screw assembly and 2 represents a chip conveyor groove.

[0035] At the same time, the chips generated by the actual working conditions of the machine tool will also be collected. The collected chips are of different materials and shapes, where the materials include but are not limited to steel, copper, aluminum alloy and other materials, and the shapes include but are not limited to granular, block, curved and other shapes. According to the chips of different materials and shapes, reverse design is used to obtain the surface contour shape of the chips, and a three-dimensional chip model is constructed based on the surface contour shape of the chips.

[0036] The following is an example of the process of building a 3D chip model: A 3D scanner is used to scan chips of different materials and shapes generated during actual machine tool processing to create point cloud data of the chip surface; the created point cloud data is preprocessed, such as denoising, filtering and streamlining, to remove invalid data points; if the chip is large and needs to be scanned from multiple perspectives, the point cloud data from different perspectives need to be aligned and merged into a complete point cloud model; the point cloud data after point cloud preprocessing and alignment is interpolated using 3D modeling software to reconstruct the geometric surface shape of the chip to construct a 3D chip model.

[0037] Therefore, the three-dimensional chip model includes three-dimensional chip models of different materials and different forms. Figure 3 As shown, Figure 3 is a schematic diagram of a three-dimensional chip model provided by the present invention, Figure 3 Three 3D chip models with three different shapes are shown in Figure 3.

[0038] Furthermore, after constructing the three-dimensional chip conveyor component model and the three-dimensional chip model, it is necessary to import the three-dimensional chip conveyor component model and the three-dimensional chip model into a simulation tool for simulation calculation. The simulation tool can use EDEM simulation software. EDEM software is a modern general-purpose high-performance CAE simulation software based on discrete element method for simulating and analyzing discrete body processing and production operations. It can be used to analyze and evaluate particle processing and particle behavior in the manufacturing process. In the present invention, the chip removal process of the machine tool chip conveyor can be simulated. Through the three-dimensional chip conveyor component model and the three-dimensional chip model in the simulation tool for simulation calculation, the chip removal performance data of the machine tool chip conveyor under the above-mentioned pre-selected component parameters can be obtained.

[0039] Furthermore, all the above steps are iteratively executed to repeatedly determine the component parameters of the machine tool chip conveyor. According to the selected component parameters, a new three-dimensional chip conveyor component model is constructed. The constructed three-dimensional chip conveyor component model and the three-dimensional chip model are imported into the simulation tool for simulation calculation, and the chip removal performance data of the machine tool chip conveyor under the set component parameters are obtained. When the preset number of iterations is reached or all the pre-set component parameters are iterated, the simulation process is terminated, and the chip removal performance data of the machine tool chip conveyor under multiple sets of component parameters can be obtained.

[0040] Furthermore, the chip removal performance data of the machine tool chip conveyor under multiple sets of component parameters are compared, the optimal chip removal performance data is selected, and the component parameters corresponding to the optimal chip removal performance data are determined as the optimal component parameters of the machine tool chip conveyor. The machine tool chip conveyor deployed with the optimal component parameters can greatly improve the chip removal efficiency.

[0041] The chip conveyor selection method provided by the present invention selects a set of initial component parameters of the machine tool chip conveyor, constructs a three-dimensional chip conveyor component model, and simultaneously obtains the constructed three-dimensional chip model, and imports the obtained models into a simulation tool for simulation calculation to obtain the chip removal performance data of the machine tool chip conveyor under the initial set component parameters. The chip removal performance data of the machine tool chip conveyor under multiple sets of component parameters can be obtained by iteratively executing the above steps, and multiple sets of optimization target data can be obtained by simulating the chip removal process of the machine tool chip conveyor through discrete element analysis. According to the multiple sets of optimization target data, comparison is performed to determine the chip conveyor component parameters under the optimal chip removal performance data, which provides a more accurate and reasonable reference basis for the selection of the machine tool chip conveyor, so that the machine tool chip conveyor under the optimal component parameters can greatly improve the chip removal efficiency.

[0042] In some embodiments, based on step 104, the simulation calculation is performed based on the three-dimensional chip model and the three-dimensional chip conveyor component model to obtain chip removal performance data of the machine tool chip conveyor under the component parameters, including: Importing the three-dimensional chip conveyor assembly model and the three-dimensional chip model into a simulation tool; Based on the simulation configuration parameters in the simulation tool, simulation calculation is performed through the three-dimensional chip conveyor component model, the three-dimensional chip model and the chip generation model to obtain a simulation result; According to the simulation results, the chip removal performance data of the machine tool chip conveyor under the component parameters are determined.

[0043] Specifically, the three-dimensional chip conveyor component model and the three-dimensional chip model are imported into the simulation tool, and specifically, the three-dimensional chip conveyor component model and the three-dimensional chip model are imported into the EDEM simulation software.

[0044] Furthermore, simulation configuration parameters are set in the simulation tool, wherein the simulation configuration parameters include at least a first material property parameter of the screw assembly, a second material property parameter of the chips (which can be considered as material property parameters of the screw assembly and the chips), a first contact parameter between the screw assembly and the chips, a second contact parameter between the chips and the chips (which can be considered as contact parameters between the screw assembly and the chips and between the chips and the chips), a chip filling parameter, a contact type parameter, and a motion parameter of the screw assembly.

[0045] Specifically, the material property parameters of the screw assembly and the chips can reflect the physical and mechanical properties of the materials used, including but not limited to Young's modulus, density, and Poisson's ratio; the contact parameters between the screw assembly and the chips and between the chips can reflect the interaction between the screw assembly and the chips and between the chips, including but not limited to the elastic recovery coefficient, static friction coefficient, and dynamic friction coefficient; the chip filling parameters can reflect how the chips are filled and accumulated in the chip groove, including but not limited to the diameter and shape of the particles; the contact type parameters can reflect the model used to describe the interaction mode between two contacting objects during the simulation process, such as the Hertz-Mindlin (no slip) contact model; the motion parameters of the screw assembly can reflect the motion of the screw assembly, including but not limited to the speed and direction.

[0046] Furthermore, parameters such as the chip release area, the total number of chips placed, and the descent speed are set in the simulation tool, wherein the chip release area is used to guide the generation and release of chips so that the chips can smoothly fall into the chip groove and be discharged, the total number of chips placed refers to the number of chips simulated and generated during the simulation process, and the descent speed refers to the speed at which the chips fall from the processing area to the chip groove. According to the set chip release area, the total number of chips placed, and the descent speed, a chip generation model is constructed.

[0047] Furthermore, before starting the simulation calculation, the time step is set to define the total duration of the simulated chip removal process.

[0048] Further, based on the set first material property parameters of the screw assembly, the second material property parameters of the chips, the first contact parameters between the screw assembly and the chips, the second contact parameters between the chips, the chip filling parameters, the contact type parameters and the motion parameters of the screw assembly, simulation calculations are performed through the three-dimensional chip conveyor assembly model, the three-dimensional chip model and the chip generation model to obtain simulation results. The simulation process can be as follows Figure 4 As shown, Figure 4 It is a three-dimensional simulation diagram of the simulation software at different times provided by the present invention.

[0049] Furthermore, according to the simulation results, the chip removal performance data of the machine tool chip conveyor under the component parameters are determined, specifically, the change data of the total number of chips in the chip conveyor groove over time.

[0050] The data of the change of the total number of chips in the chip removal groove over time includes the total chip removal time and the chip removal efficiency value at each moment in the chip removal process. The chip removal efficiency value at each moment is determined by the following method: Determine the total number of chips collected in the flute and the number of chips remaining in the flute at that moment; Subtract the total number of chips from the number of remaining chips to obtain the number of discharged chips; Divide the number of discharged chips by the total number of chips to obtain the chip removal efficiency value at that moment.

[0051] Therefore, the calculation formula for the chip removal efficiency value at each moment is as follows: Among them, N1 represents the total number of chips, N2 represents the number of remaining chips at that moment, Indicates the chip removal efficiency value at that moment.

[0052] The embodiment of the present invention simulates the chip removal process of the machine tool chip conveyor through discrete element analysis to obtain the chip removal performance data of the machine tool chip conveyor under the set component parameters, thereby obtaining the chip removal performance data of the machine tool chip conveyor under multiple groups of different component parameters, and comparing the chip removal performance data as optimization targets to obtain the optimal component parameters of the machine tool chip conveyor to achieve better performance, thereby providing a more accurate and reasonable reference basis for the selection of the machine tool chip conveyor, so that the machine tool chip conveyor under the optimal component parameters can greatly improve the chip removal efficiency.

[0053] In some embodiments, based on step 106, determining the optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data includes: The component parameters corresponding to the shortest total chip removal time and / or the maximum chip removal efficiency value at the target time are determined as the optimal component parameters of the machine tool chip conveyor.

[0054] Specifically, the total chip discharge time of the machine tool chip conveyor under different component parameters is compared in numerical value, and the shortest total chip discharge time is determined based on the comparison result.

[0055] In addition, a target time will be selected, and the chip removal efficiency value at the target time will be analyzed as the optimization target. The chip removal efficiency values ​​of the machine tool chip conveyor at the target time under different component parameters will be further compared. Based on the comparison results, the maximum chip removal efficiency value will be determined.

[0056] Furthermore, the component parameters corresponding to the shortest total chip removal time or the maximum chip removal efficiency value at the target moment are determined as the optimal component parameters of the machine tool chip conveyor.

[0057] In other words, the component parameters corresponding to the shortest total chip removal time and the component parameters corresponding to the maximum chip removal efficiency value at the target time are comprehensively analyzed to determine the optimal component parameters of the machine tool chip conveyor.

[0058] This shows that the shorter the time it takes to evacuate the chips in the chip flute or the greater the chip removal efficiency at the same time point, the better the structural performance of the screw assembly of the machine tool chip conveyor.

[0059] The embodiment of the present invention compares the chip removal performance data as the optimization target to obtain the optimal component parameters of the machine tool chip conveyor to achieve better performance, providing a more accurate and reasonable reference basis for the selection of the machine tool chip conveyor, so that the machine tool chip conveyor under the optimal component parameters can greatly improve the chip removal efficiency.

[0060] The above-mentioned chip conveyor selection method is described below by way of example in combination with the accompanying drawings and specific implementation cases.

[0061] Step 1: Preselect a set of initial machine tool chip conveyor component parameters by preliminarily testing the configuration of the machine tool chip conveyor groove; In this example, a coreless screw is selected with a screw diameter of 100 mm, a total length of 800 mm, a screw speed of 10 rpm, and a screw pitch as a parameter variable. The initial pitch is selected as 120 mm, and the chip groove is selected with an opening of 60° and a shape such as Figure 2 As shown, the total length is 800mm.

[0062] Step 2: Based on the above preset component parameters, a three-dimensional chip conveyor component model is constructed. The three-dimensional chip conveyor component model is as follows: Figure 2 As shown, 1 represents a screw assembly, and 2 represents a chip removal groove.

[0063] Step 3: Reconstruct the 3D model according to the different materials and different shapes of chips generated in the actual processing of the machine tool to build a three-dimensional chip model; Among them, a 3D scanner is used to scan the chips of different materials such as iron chips, aluminum chips, copper chips, etc. processed by the machine tool to create a geometric surface point cloud, and then interpolate the surface shape to obtain a 3D chip model, such as Figure 3 Three-dimensional chip models in different shapes are shown.

[0064] Step 4: Import the 3D chip conveyor component model and the 3D chip model into the EDEM simulation software, set the corresponding simulation configuration parameters, and perform simulation calculations; The specific steps are as follows: (1) Import the 3D chip conveyor component model and the 3D chip model constructed in steps 2 and 3 into the EDEM simulation software in “.igs” format; (2) Table 1 Simulation configuration parameters

[0065] As shown in Table 1, the Young's modulus E, density ρ, Poisson's ratio of the screw assembly and the chips, the coefficient of restitution, static friction coefficient, and dynamic friction coefficient between the screw assembly and the chips and between the chips are respectively measured. The contact type parameters adopt the Hertz-Mindlin (no slip) contact model, and the screw assembly rotates clockwise at a speed of 10 rpm; (3) Fill the imported 3D chip model with a radius of 0.5 mm and a single particle. Figure 3 The three types of chips are mixed; (4) A chip release area with a length and width of 200 × 200 mm is established 200 mm above the chip groove. 1000 chips are generated at a generation rate of 2000 chips / s, including 300 chips of type A, 200 chips of type B, and 500 chips of type C. The chip falling speed is 4 m / s. A total of 60 s of chip removal process is calculated. The simulation calculation is performed based on the above parameters and models. Figure 4 Simulation process diagram; (5) According to the simulation results, the chip removal performance data of the machine tool chip conveyor is obtained, specifically the data on the change of the number of chips in the chip conveyor groove over time, which can be combined with Figure 5 , Figure 5 It is a schematic diagram of the change of the number of chips in the chip removal groove provided by the present invention over time. Figure 5 As shown, 1000 chips are generated in the chip groove. As time goes on, the chips begin to be discharged at around 22 seconds and are basically discharged at nearly 60 seconds.

[0066] Step 5: Set the next set of machine tool chip conveyor component parameters, repeat steps 1-4, and obtain the chip removal performance data of the machine tool chip conveyor under multiple sets of component parameters. In this example, the specific operation is to modify the pitch to 80mm, 150mm, 180mm, 220mm, and 240mm, and repeat the above steps respectively to obtain the data of the number of chips in the chip conveyor flute over time under different pitches.

[0067] Step 6: Compare and analyze the data of the number of chips in the chip conveyor flute with different pitches over time to determine more reasonable component parameters of the machine tool chip conveyor; Among them, the data of the change of the number of chips in the chip flute over time specifically include the total time for the number of chips in the chip flute to be discharged and the chip removal efficiency value of the machine tool chip conveyor at a certain moment. The shorter the time for the chips in the chip flute to be discharged or the greater the chip removal efficiency value at the same time point, the better the structural performance of the screw assembly in the machine tool chip conveyor. As shown in Table 2, the chip removal efficiency values ​​under the parameters of each component at 30s are 4.20%, 44.20%, 67.1%, 75.30%, 69.30%, and 66.20%, respectively, and the total time used is more than 60s, 58s, 50s, 50s, 51s, and 50s, respectively. Considering comprehensively, the chip removal efficiency is the highest when the screw pitch is 180mm, and the total time is short. This screw pitch value can be used as the selection parameter of the screw assembly in the machine tool chip conveyor to maximize the chip removal performance of the machine tool chip conveyor, which is beneficial to the chip removal of the machine tool.

[0068] Table 2

[0069] Other component parameters are consistent with the pitch implementation method.

[0070] The chip conveyor selection device provided by the present invention is described below. The chip conveyor selection device described below and the chip conveyor selection method described above can be referenced to each other.

[0071] Reference Figure 6 , Figure 6 It is a structural schematic diagram of the chip conveyor selection device provided by the present invention.

[0072] The chip conveyor selection device comprises: The first determination module 610 is used to determine a set of component parameters of a chip conveyor of a machine tool.

[0073] The model building module 620 is used to build a three-dimensional chip conveyor component model based on the component parameters.

[0074] The chip removal performance data acquisition module 630 is used to perform simulation calculations based on the three-dimensional chip model and the three-dimensional chip conveyor component model to obtain the chip removal performance data of the machine tool chip conveyor under the component parameters.

[0075] The iterative execution module 640 is used to iteratively execute the steps of determining a set of component parameters of the machine tool chip conveyor until a preset end condition is reached.

[0076] The second determination module 650 is used to determine the optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data.

[0077] The chip conveyor selection device provided by the present invention selects a set of initial component parameters of a machine tool chip conveyor, constructs a three-dimensional chip conveyor component model, and simultaneously obtains the constructed three-dimensional chip model, and imports the obtained models into a simulation tool for simulation calculation to obtain the chip removal performance data of the machine tool chip conveyor under the initial set component parameters. The chip removal performance data of the machine tool chip conveyor under multiple sets of component parameters can be obtained by iteratively executing the above steps, and multiple sets of optimization target data can be obtained by simulating the chip removal process of the machine tool chip conveyor through discrete element analysis. According to the multiple sets of optimization target data, comparison is performed to determine the chip conveyor component parameters under the optimal chip removal performance data, thereby providing a more accurate and reasonable reference basis for the selection of machine tool chip conveyors, so that the machine tool chip conveyor under the optimal component parameters can greatly improve the chip removal efficiency.

[0078] Furthermore, the chip removal performance data acquisition module 630 is also used for: Importing the three-dimensional chip conveyor assembly model and the three-dimensional chip model into a simulation tool; Based on the simulation configuration parameters in the simulation tool, simulation calculation is performed through the three-dimensional chip conveyor component model, the three-dimensional chip model and the chip generation model to obtain a simulation result; According to the simulation results, the chip removal performance data of the machine tool chip conveyor under the component parameters are determined.

[0079] Furthermore, the chip removal performance data acquisition module 630 is also used for: Among them, the chip removal efficiency value at each moment is determined by the following method: determining the total number of chips and the number of chips remaining at the time; Subtracting the total number of chips from the remaining number of chips to obtain the number of discharged chips; The chip removal efficiency value at the moment is obtained by dividing the number of discharged chips by the total number of chips.

[0080] Furthermore, the second determining module 650 is further configured to: The component parameters corresponding to the shortest total chip removal time and / or the maximum chip removal efficiency value at the target time are determined as the optimal component parameters of the machine tool chip conveyor.

[0081] It should be noted that the chip conveyor selection device provided by the present invention can execute the chip conveyor selection method described in any of the above embodiments during specific operation, which will not be elaborated in this embodiment.

[0082] Figure 7 is a schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 7 As shown, the electronic device may include: a processor 710, a communication interface 720, a memory 730 and a communication bus 740, wherein the processor 710, the communication interface 720 and the memory 730 communicate with each other through the communication bus 740. The processor 710 may call the logic instructions in the memory 730 to execute the chip conveyor selection method, which includes: determining a set of component parameters of a machine tool chip conveyor; constructing a three-dimensional chip conveyor component model based on the component parameters; performing simulation calculation based on the three-dimensional chip model and the three-dimensional chip conveyor component model to obtain the chip removal performance data of the machine tool chip conveyor under the component parameters; iteratively executing the steps of determining a set of component parameters of the machine tool chip conveyor until a preset end condition is reached; and determining the optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data.

[0083] In addition, the logic instructions in the above-mentioned memory 730 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0084] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the chip conveyor selection method provided in the above-mentioned embodiments, the method including: determining a set of component parameters of a machine tool chip conveyor; constructing a three-dimensional chip conveyor component model based on the component parameters; performing simulation calculations based on a three-dimensional chip model and the three-dimensional chip conveyor component model to obtain chip removal performance data of the machine tool chip conveyor under the component parameters; iteratively executing the steps of determining a set of component parameters of the machine tool chip conveyor until a preset end condition is reached; and determining the optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data.

[0085] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the chip conveyor selection method provided in the above-mentioned embodiments, the method comprising: determining a set of component parameters of a machine tool chip conveyor; constructing a three-dimensional chip conveyor component model based on the component parameters; performing simulation calculations based on a three-dimensional chip model and the three-dimensional chip conveyor component model to obtain chip removal performance data of the machine tool chip conveyor under the component parameters; iteratively executing the steps of determining a set of component parameters of the machine tool chip conveyor until a preset end condition is reached; and determining the optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data.

[0086] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. Those of ordinary skill in the art may understand and implement the present invention without creative effort.

[0087] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for selecting a chip conveyor, characterized in that: include: Determine a set of component parameters of a chip conveyor of a machine tool; Based on the component parameters, construct a three-dimensional chip conveyor component model; Perform simulation calculation based on the three-dimensional chip model and the three-dimensional chip conveyor component model to obtain chip removal performance data of the machine tool chip conveyor under the component parameters; Iteratively performing the step of determining a set of component parameters of a chip conveyor of a machine tool until a preset end condition is reached; Based on the chip removal performance data, optimal component parameters of the machine tool chip conveyor are determined.

2. The chip conveyor selection method according to claim 1, characterized in that: The simulation calculation is performed based on the three-dimensional chip model and the three-dimensional chip conveyor component model to obtain chip removal performance data of the machine tool chip conveyor under the component parameters, including: Importing the three-dimensional chip conveyor assembly model and the three-dimensional chip model into a simulation tool; Based on the simulation configuration parameters in the simulation tool, simulation calculation is performed through the three-dimensional chip conveyor component model, the three-dimensional chip model and the chip generation model to obtain a simulation result; According to the simulation results, the chip removal performance data of the machine tool chip conveyor under the component parameters are determined.

3. The chip conveyor selection method according to claim 2, characterized in that: The three-dimensional chip conveyor assembly model includes at least a screw assembly, and the simulation configuration parameters include at least a first material property parameter of the screw assembly, a second material property parameter of the chips, a first contact parameter between the screw assembly and the chips, a second contact parameter between the chips, a chip filling parameter, a contact type parameter, and a motion parameter of the screw assembly.

4. The chip conveyor selection method according to claim 1, characterized in that: The chip removal performance data at least includes the total chip removal time and the chip removal efficiency value at each moment in the chip removal process; Among them, the chip removal efficiency value at each moment is determined by the following method: determining the total number of chips and the number of chips remaining at the time; Subtracting the total number of chips from the remaining number of chips to obtain the number of discharged chips; The chip removal efficiency value at the moment is obtained by dividing the number of discharged chips by the total number of chips.

5. The chip conveyor selection method according to claim 4, characterized in that: Determining the optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data includes: The component parameters corresponding to the shortest total chip removal time and / or the maximum chip removal efficiency value at the target time are determined as the optimal component parameters of the machine tool chip conveyor.

6. The chip conveyor selection method according to claim 1, characterized in that: The components of the machine tool chip conveyor at least include a chip conveyor groove and a screw assembly; The chip groove is a groove or channel for collecting and discharging chips; The screw assembly is used to push the chips collected in the chip removal groove out through rotational motion.

7. The chip conveyor selection method according to any one of claims 1 to 6, characterized in that: The three-dimensional chip model includes three-dimensional chip models of different materials and different forms.

8. A chip conveyor selection device, characterized in that: include: A first determination module is used to determine a set of component parameters of a machine tool chip conveyor; A model building module, used for building a three-dimensional chip conveyor component model based on the component parameters; A chip removal performance data acquisition module, used for performing simulation calculation based on a three-dimensional chip model and the three-dimensional chip conveyor component model to acquire chip removal performance data of the machine tool chip conveyor under the component parameters; an iterative execution module, for iteratively executing the steps of determining a set of component parameters of a machine tool chip conveyor until a preset end condition is reached; The second determination module is used to determine the optimal component parameters of the machine tool chip conveyor based on each of the chip removal performance data.

9. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the chip conveyor selection method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, the computer-readable storage medium comprising a non-transitory computer-readable storage medium, having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the chip conveyor selection method according to any one of claims 1 to 7 are implemented.

Images