Swing distributing device based on numerical simulation and distributing method thereof

By using the swing cloth device and its fabric method based on numerical simulation in the V-selecting and separator, the swinging rules of materials are optimized, and the problem of difficult to control the uniformity of materials in the V-selecting and separator is solved, and more efficient sorting effect and more stable rolling press operation is achieved.

CN119549265APending Publication Date: 2025-03-04CNBM (HEFEI) POWDER TECHNOLOGY EQUIPMENT CO LTD +3
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Patent Information

Application Number
CN202411602402.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-11
Publication Date
2025-03-04

AI Technical Summary

Technical Problem

The uniformity of the amount of strands and particle fineness in the existing V-sorting and separator is difficult to control, resulting in the impact of the sorting effect and affecting the efficient and stable operation of the roller press system.

Method used

The swing cloth device and its fabric method are adopted based on numerical simulation. The simulation model is established through three-dimensional software and discrete element software, and the swing amplitude and swing angular velocity are optimized to achieve uniform swing of materials in the fabric pipe, ensuring the uniformity of the material outlet of the material.

Benefits of technology

It effectively improves the uniformity of V-selected fabrics in the grinding system, optimizes the sorting effect, improves the work performance of the roller press, and reduces the wind in the sorting system, improving the stability and economicality of the system.

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Abstract

The invention discloses a swing distributing device based on numerical simulation and a distributing method thereof, and particularly relates to the technical field of grinding, and the motion control method of the swing distributing device is obtained through calculation of a simulation model of an integral elephant trunk; according to the simulation model, firstly, a geometric model of the elephant trunk is established through three-dimensional software, and then analog simulation of material flow in the elephant trunk is achieved through discrete element software; the simulation model can obtain an index of V-choice material distribution uniformity. According to the material distribution method, in a grinding system, the material quantity of each strand of materials discharged from the distributor and the uniformity of the particle fineness can be ensured no matter how the material feeding condition of the distributor is; according to the V-sorting device, the uniformity of V-sorting material distribution can be effectively improved, the sorting effect of V-sorting is optimized, the work of a roller press is improved, and air used by a sorting system can be further reduced on the premise that the sorting effect is guaranteed; therefore, by adopting the method, the stability and economical efficiency of the grinding system can be improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of grinding, and is applicable to a V-selection sorting process in a grinding system. More specifically, the present invention relates to a swing distributor based on numerical simulation and a distribution method thereof. Background Art

[0002] The known V-type static powder classifier is referred to as V-selection. It is a static gas-solid separation equipment with the functions of breaking up, drying and particle classification. It has the characteristics of simple structure and convenient maintenance. It is widely used in cement and raw material grinding systems with roller presses. Among them, the main structure of V-selection includes: a breaking plate, a grading plate and an outer shell. Its working principle is: after being squeezed by the roller press, the material enters the V-selection discharge port, and under the action of gravity, it hits the breaking plates arranged continuously inside the V-selection in sequence to be broken up and separated, and forms a continuously falling material curtain in the powder selection area; the airflow for sorting enters from the air inlet, and is reasonably distributed through the air distribution area to form a graded wind field in the dispersion area to classify the broken material particles. For fine particles, due to the dominant influence of airflow drag, they will enter the classification area with the airflow, and be discharged through the air outlet to enter the next equipment in the production process; for particles with larger particle sizes, due to the dominant influence of gravity, they will settle to the coarse powder port at the bottom of the V-selection under the action of gravity, and finally be re-sent to the roller press for another extrusion.

[0003] However, judging from the on-site situation, it is difficult to control the uniformity of the amount of each strand of material in the existing V-selector distributor; at the same time, it can be found from the simulation results that not only the amount of each strand of material is uneven, but also the particle fineness of each strand of material is uneven; and the above problems are mainly caused by the segregation of materials in the V-selection chute due to the process layout and on-site installation, which leads to the unevenness of the materials entering the V-selection, and then the sorting of the V-selection is affected, and finally the efficient and stable operation of the roller press system is affected; therefore, a swing distributor based on numerical simulation and its distribution method are proposed as a further improvement. Summary of the invention

[0004] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a swing distributor and a distribution method thereof based on numerical simulation to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: a swing distributor based on numerical simulation, the swing distributor comprising: a driving servo motor, a motor base, an upper shell, a lower shell and a distribution pipe body;

[0006] The motor base is fixedly mounted on the bottom of the driving servo motor, the bottom of the upper shell is fixedly connected to the top of the bottom flange of the lower shell, the bottom of the motor base is fixedly mounted on the top of the lower shell, the material distribution tube body is mounted on the lower shell through a bearing, and a transmission mechanism is provided between the driving servo motor and the material distribution tube body;

[0007] A front end slide pipe is fixedly installed on the top of the upper shell through a flange, a rear end slide pipe is fixedly installed on the bottom of the lower shell through a flange, the material distribution pipe body is located inside the rear end slide pipe, the top of the front end slide pipe is set as a feeding port, and a distributor is fixedly installed on the bottom of the rear end slide pipe.

[0008] Further, the transmission mechanism comprises: a worm and a worm wheel;

[0009] The output end of the driving servo motor is fixedly connected to the worm, the center line of the worm wheel coincides with the center line of the fabric tube body, the inner wall of the worm wheel center is fixedly connected to the outer surface of the side of the fabric tube body, and the worm is meshingly connected to the worm wheel.

[0010] A material distribution method of a swing distributor based on numerical simulation, comprising the swing distributor based on numerical simulation, and the specific operation steps of the material distribution method of the swing distributor are as follows:

[0011] S1: First, the geometric model of the whole chute is established by 3D software. Then, the material flow analysis model of the whole chute is established by discrete element software. The simulation model is formed to obtain the index of V-selected material uniformity.

[0012] S2: Establish a regression model of the V-selected material distribution effect on the swing amplitude and swing angular velocity of the swing distributor; determine the variance value S of the material quantity of each strand of material at the distributor outlet and the fineness uniformity LM I as the experimental response variables;

[0013] S3: Taking the swing amplitude x and the swing angular velocity y as experimental design factors, determine the experimental combination;

[0014] S4: According to the experimental combination to be conducted in S3, simulation calculations of corresponding parameter combinations are performed in sequence in the simulation model constructed in S1, and the variance value S and fineness uniformity LM I of each strand of material under each experimental condition are recorded respectively to obtain corresponding experimental data;

[0015] S5: Use statistical software to analyze the experimental data in S4;

[0016] S6: Use the least squares method to estimate the model coefficients and evaluate the goodness of fit of the model; cross-validate the accuracy of the model by using different data sets;

[0017] S7: The number of revolutions of the worm is obtained by converting the swing amplitude and the displacement of the worm wheel edge;

[0018] S8: The linear velocity of the worm gear is obtained by converting the angular velocity and the linear velocity. The rotational velocity of the worm gear is obtained according to the speed ratio of the worm gear.

[0019] S9: According to the number of rotations of the worm obtained in S7 and the rotation speed of the worm obtained in S8, the servo motor is driven to control so that the fabric tube body realizes a predetermined movement.

[0020] Furthermore, in S4, the steps of obtaining the fineness uniformity LM I of each strand of material are as follows:

[0021] S41: First calculate the mass fraction at the distributor outlet

[0022]

[0023] S42: Calculate the variance of the mass fraction at the distributor outlet

[0024]

[0025] S43: Calculate the maximum theoretical value of the variance S of the completely unmixed system at the distributor outlet

[0026]

[0027] S44: Calculate the minimum theoretical value of the variance of the complete mixing system at the distributor outlet

[0028]

[0029] S45: Calculate the Laixi mixing index at the distributor outlet

[0030]

[0031] Where: N is the number of meshes at the distributor outlet, w is the average mass fraction of the meshes at the distributor outlet, w2 is the overall mass fraction of the meshes at the distributor outlet, and w i is the mass fraction of a single grid at the distributor outlet, n is the average number of particles in the grid at the distributor outlet, m1 is the additional mass of a single grid at the distributor outlet, and m2 is the additional mass of the entire grid at the distributor outlet.

[0032] Furthermore, in S3, according to the experimental design factors of swing amplitude x and swing angular velocity y, each factor is set to 5 levels:

[0033] Then the swing amplitude is: x1 = low, x2 = medium-low, x3 = medium, x4 = medium-high, x5 = high;

[0034] Then the swing angular velocity is: y1=small, y2=medium-small, y3=medium, y4=medium-large, y5=high.

[0035] Further, in said S3, the experimental combination according to the central composite design includes: a corner point experimental combination, a supplementary experimental combination and a center point experimental combination;

[0036] Corner point experiment combination:

[0037] (x1, y1) - the swing amplitude is low and the swing angular velocity is small;

[0038] (x1,y5) - the swing amplitude is low and the swing angular velocity is large;

[0039] (x5,y1) - the swing amplitude is high and the swing angular velocity is small;

[0040] (x5,y5) - the swing amplitude is high and the swing angular velocity is large;

[0041] Supplementary experimental combination:

[0042] (x1,y3) - the swing amplitude is low and the swing angular velocity is medium;

[0043] (x5,y3) - the swing amplitude is high and the swing angular velocity is medium;

[0044] (x3,y1) - the swing amplitude is medium and the swing angular velocity is small;

[0045] (x3,y5) - the swing amplitude is medium and the swing angular velocity is large;

[0046] (x2, y2) - the swing amplitude is medium-low, and the swing angular velocity is medium-small;

[0047] (x2, y4) - the swing amplitude is medium-low, and the swing angular velocity is medium-large;

[0048] (x4, y2) - the swing amplitude is medium-high, and the swing angular velocity is medium-small;

[0049] (x4,y5) - the swing amplitude is medium-high, and the swing angular velocity is large;

[0050] Center point experimental combination:

[0051] (x3,y3) - The swing amplitude is medium and the swing angular velocity is medium.

[0052] Furthermore, the experimental data obtained in S4 are respectively:

[0053] (x1, y1, S1, LM I 1);

[0054] (x1, y5, S2, LM I 2);

[0055] (x5, y1, S3, LMI 3);

[0056] (x5, y5, S4, LMI4);

[0057] (x1, y3, S5, LMI5);

[0058] (x5, y3, S6, LMI 6);

[0059] (x3, y1, S7, LMI 7);

[0060] (x3, y5, S8, LMI8);

[0061] (x2, y2, S9, LMI9);

[0062] (x2, y4, S10, LMI 10);

[0063] (x4, y2, S11, LMI 11);

[0064] (x4, y5, S12, LMI 12);

[0065] (x3, y3, S13, LMI 13).

[0066] Furthermore, in S5, the data analysis includes regression analysis; a polynomial regression model of the variance value S of the material amount of each strand and the fineness uniformity LMI with respect to the swing amplitude and the swing angular velocity is constructed as follows:

[0067] S=a0+a1x+a2y+a3x 2 +a4Y 2 +a5xy;

[0068] LMI=β0+β1x+β2y+β3x 2 +β4y 2 +β5xy;

[0069] Among them, S represents the variance value of the material quantity of each strand, LMI represents the fineness uniformity, x is the swing amplitude, y is the swing angular velocity, and a and β are the parameters to be estimated.

[0070] Technical effects and advantages of the present invention:

[0071] Compared with the prior art, the material distribution method provided in the present invention can ensure the uniformity of the material quantity and particle fineness of each material in the material distributor in the grinding system, regardless of the material incoming situation of the material distributor; it can not only effectively improve the uniformity of the V-selection material distribution, optimize the V-selection sorting effect, and thus improve the work done by the roller press, but also can further reduce the air consumption of the sorting system under the premise of ensuring the sorting effect; therefore, this method can improve the stability and economy of the grinding system. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a schematic diagram of the overall structure of the swing distributor of the present invention.

[0073] Figure 2 It is a front schematic diagram of the swing distributor of the present invention.

[0074] Figure 3 It is a schematic diagram of the cross-sectional structure of the swing distributor of the present invention.

[0075] Figure 4 It is a schematic diagram of the front end slide pipe and the rear end slide pipe of the overall structure of the present invention.

[0076] Figure 5 It is a schematic diagram of the cross-sectional structure of the front end slide pipe and the rear end slide pipe of the present invention.

[0077] Figure 6 It is a three-dimensional structural schematic diagram of the front end slide pipe and the rear end slide pipe of the present invention.

[0078] The accompanying drawings are marked as follows:

[0079] 1. Driving servo motor; 2. Motor base; 3. Upper housing; 4. Lower housing; 5. Fabric tube body; 6. Bearing;

[0080] 7. Transmission mechanism; 71. Worm; 72. Worm wheel;

[0081] 8. Front slide pipe; 9. Rear slide pipe; 10. Material distributor. DETAILED DESCRIPTION

[0082] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0083] As attached Figure 1-6 A swing distributor based on numerical simulation is shown, the swing distributor comprises: a driving servo motor 1, a motor base 2, an upper shell 3, a lower shell 4 and a distribution pipe body 5;

[0084] The motor base 2 is fixedly mounted on the bottom of the driving servo motor 1, the bottom of the upper housing 3 is fixedly connected to the top of the lower housing 4, the bottom of the motor base 2 is fixedly mounted on the top of the bottom flange of the lower housing 4, the material distribution pipe body 5 is mounted on the lower housing 4 through a bearing 6, and a transmission mechanism 7 is provided between the driving servo motor 1 and the material distribution pipe body 5;

[0085] The servo motor 1 of the swinging distributor drives the distribution pipe body 5 to swing through the transmission mechanism 7; the distribution pipe body 5 is located between the front slide pipe 8 and the rear slide pipe 9;

[0086] A front end slide pipe 8 is fixedly installed on the top of the upper shell 3 through a flange, a rear end slide pipe 9 is fixedly installed on the bottom of the lower shell 4 through a flange, the distribution pipe body 5 is located inside the rear end slide pipe 9, the top of the front end slide pipe 8 is set as a feeding port 81, and a distributor 10 is fixedly installed on the bottom of the rear end slide pipe 9.

[0087] The material falls from the feeding port 81 and enters the distribution pipe body 5 through the front chute 8. The distribution pipe body 5 swings under a predetermined motion law, thereby achieving uniform distribution of the material entering the rear chute 9. The material in the rear chute 9 enters the V selection through the distributor 10, and finally achieves uniform distribution of the V selection.

[0088] In a preferred embodiment, as shown in the attached Figure 1-6 As shown, the transmission mechanism 7 includes: a worm 71 rotating in the upper housing 3 and a worm wheel 72 rotating in the upper housing 3;

[0089] The output end of the driving servo motor 1 is fixedly connected to the worm 71, the center line of the worm wheel 72 is arranged to coincide with the center line of the fabric tube body 5, the inner wall of the center of the worm wheel 72 is fixedly connected to the outer surface of the side of the fabric tube body 5, and the worm 71 is meshed with the worm wheel 72;

[0090] The servo motor 1 drives the worm 71 to rotate, and the servo motor 1 drives the worm wheel 72 to rotate, and the worm wheel 72 is connected to the material distribution tube body 5, and the material distribution tube body 5 is installed on the lower shell 4 through the bearing 6. The worm wheel 72 drives the material distribution tube body 5 under the drive of the worm 71, so that the material distribution tube body 5 realizes a predetermined reciprocating swing; the upper shell 3 and the lower shell 4 are connected by bolts to realize the sealing of the driving part structure;

[0091] A method for distributing materials using a swing distributor based on numerical simulation, comprising a swing distributor based on numerical simulation,

[0092] Among them, the swing distributor feeding method based on numerical simulation involves the swing distributor motion control method; the swing distributor motion control method mainly includes the control of swing amplitude and swing angular velocity, and the optimal solutions of these two factors need to be obtained through simulation methods;

[0093] The specific operation steps of the swing feeder feeding method are as follows:

[0094] S1: First, the geometric model of the whole chute is established by 3D software. Then, the material flow analysis model of the whole chute is established by discrete element software. The simulation model is formed to obtain the index of V-selected material uniformity.

[0095] The slide pipe includes a front slide pipe 8 and a rear slide pipe 9; the simulation model realizes the simulation of the material flow in the slide pipe; the simulation model can obtain the index of V-selected material distribution uniformity;

[0096] S2: Establish a regression model of the V-selected material distribution effect on the swing amplitude and swing angular velocity of the swing distributor; determine the variance value S of the material quantity of each strand of material at the outlet of the distributor 10 and the fineness uniformity LM I as the experimental response variables;

[0097] S3: Taking the swing amplitude x and the swing angular velocity y as experimental design factors, determine the experimental combination;

[0098] S4: According to the experimental combination to be conducted in S3, simulation calculations of corresponding parameter combinations are performed in sequence in the simulation model constructed in S1, and the variance value S and fineness uniformity LM I of each strand of material under each experimental condition are recorded respectively to obtain corresponding experimental data;

[0099] S5: Use statistical software to analyze the experimental data in S4;

[0100] S6: Use the least squares method to estimate the model coefficients and evaluate the goodness of fit of the model; cross-validate the accuracy of the model by using different data sets;

[0101] Among them, after obtaining a relatively reliable polynomial regression model of the variance value S of each material quantity and the fineness uniformity LMI according to S5, a relatively reasonable swing amplitude x and swing angular velocity y are obtained through the planning and solving tool to ensure that the variance value S of each material quantity and the fineness uniformity LMI are at a relatively good level;

[0102] S7: Obtaining the number of rotations of the worm 71 by converting the swing amplitude and the edge displacement of the worm wheel 72;

[0103] S8: The linear velocity of the worm wheel 72 is obtained by converting the angular velocity and the linear velocity, and the rotational velocity of the worm 71 is obtained according to the speed ratio of the worm wheel 72 to the worm 71.

[0104] S9: According to the number of rotations of the worm 71 obtained in S7 and the rotation speed of the worm 71 obtained in S8, the servo motor 1 is driven to control so that the material distribution tube body 5 realizes the predetermined movement; thereby finally realizing the uniform distribution of V selection.

[0105] In a preferred embodiment, as shown in the attached Figure 1-6 As shown, in S4, the steps of obtaining the fineness uniformity LM I of each strand of material are as follows:

[0106] S41: First calculate the mass fraction at the outlet of distributor 10

[0107]

[0108] S42: Calculate the variance of the mass fraction at the outlet of distributor 10

[0109]

[0110] S43: Calculate the maximum theoretical value of the variance S of the completely unmixed system at the outlet of the distributor 10

[0111]

[0112] S44: Calculate the minimum theoretical value of the variance of the complete mixing system at the outlet of distributor 10

[0113]

[0114] S45: Calculate the Laixi mixing index at the outlet of distributor 10

[0115]

[0116] Where: N is the number of meshes at the outlet of the distributor 10, w is the average mass fraction of the meshes at the outlet of the distributor 10, w2 is the overall mass fraction of the meshes at the outlet of the distributor 10, w i is the mass fraction of a single grid at the outlet of the distributor 10, n is the average number of particles in the grid at the outlet of the distributor 10, m1 is the additional mass of a single grid at the outlet of the distributor 10, and m2 is the additional mass of the entire grid at the outlet of the distributor 10.

[0117] In a preferred embodiment, as shown in the attached Figure 1-6 As shown, in S3, according to the experimental design factors of swing amplitude x and swing angular velocity y, each factor is set to 5 levels:

[0118] Then the swing amplitude is: x1 = low, x2 = medium-low, x3 = medium, x4 = medium-high, x5 = high;

[0119] Then the swing angular velocity is: y1=small, y2=medium-small, y3=medium, y4=medium-large, y5=high.

[0120] In a preferred embodiment, as shown in the attached Figure 1-6 As shown, in S3, the experimental combinations according to the central composite design include: corner point experimental combination, supplementary experimental combination and center point experimental combination;

[0121] Corner point experiment combination:

[0122] (x1, y1) - the swing amplitude is low and the swing angular velocity is small;

[0123] (x1,y5) - the swing amplitude is low and the swing angular velocity is large;

[0124] (x5,y1) - the swing amplitude is high and the swing angular velocity is small;

[0125] (x5,y5) - the swing amplitude is high and the swing angular velocity is large;

[0126] Supplementary experimental combination:

[0127] (x1,y3) - the swing amplitude is low and the swing angular velocity is medium;

[0128] (x5,y3) - the swing amplitude is high and the swing angular velocity is medium;

[0129] (x3,y1) - the swing amplitude is medium and the swing angular velocity is small;

[0130] (x3,y5) - the swing amplitude is medium and the swing angular velocity is large;

[0131] (x2, y2) - the swing amplitude is medium-low, and the swing angular velocity is medium-small;

[0132] (x2, y4) - the swing amplitude is medium-low, and the swing angular velocity is medium-large;

[0133] (x4, y2) - the swing amplitude is medium-high, and the swing angular velocity is medium-small;

[0134] (x4,y5) - the swing amplitude is medium-high, and the swing angular velocity is large;

[0135] Center point experimental combination:

[0136] (x3,y3) - The swing amplitude is medium and the swing angular velocity is medium.

[0137] Among them, according to the above combination, a total of 13 experiments are required.

[0138] In a preferred embodiment, as shown in the attached Figure 1-6 As shown, the experimental data obtained in S4 are:

[0139] (x1, y1, S1, LM I 1);

[0140] (x1, y5, S2, LM I 2);

[0141] (x5, y1, S3, LM I 3);

[0142] (x5, y5, S4, LM I4);

[0143] (x1, y3, S5, LM I5);

[0144] (x5, y3, S6, LM I 6);

[0145] (x3, y1, S7, LM I 7);

[0146] (x3, y5, S8, LM I 8);

[0147] (x2, y2, S9, LM I9);

[0148] (x2, y4, S10, LM I 10);

[0149] (x4, y2, S11, LM I 11);

[0150] (x4, y5, S12, LM I 12);

[0151] (x3, y3, S13, LM I 13).

[0152] Among them, 13 sets of data were obtained according to 13 experimental combinations;

[0153] In a preferred embodiment, as shown in the attached Figure 1-6 As shown, in S5, the data analysis includes regression analysis; the polynomial regression model of the variance value S of the material amount of each strand and the fineness uniformity LM I with respect to the swing amplitude and the swing angular velocity is constructed as follows:

[0154] S=a0+a1x+a2y+a3x 2 +a4Y 2 +a5xy;

[0155] LMI=β0+β1x+β2y+β3x 2 +β4y 2 +β5xy;

[0156] Among them, S represents the variance value of the material quantity of each strand, LMI represents the fineness uniformity, x is the swing amplitude, y is the swing angular velocity, and a and β are the parameters to be estimated.

[0157] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0158] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A swing distributor based on numerical simulation, characterized in that: The swing material distributor comprises: a driving servo motor (1), a motor base (2), an upper shell (3), a lower shell (4) and a material distribution pipe body (5); The motor base (2) is fixedly mounted on the bottom of the driving servo motor (1), the bottom of the upper shell (3) is fixedly connected to the top of the bottom flange of the lower shell (4), the bottom of the motor base (2) is fixedly mounted on the top of the lower shell (4), the material distribution pipe body (5) is mounted on the lower shell (4) via a bearing (6), and a transmission mechanism (7) is provided between the driving servo motor (1) and the material distribution pipe body (5); A front end slide pipe (8) is fixedly mounted on the top of the upper shell (3) via a flange, a rear end slide pipe (9) is fixedly mounted on the bottom of the lower shell (4) via a flange, the material distribution pipe body (5) is located inside the rear end slide pipe (9), the top of the front end slide pipe (8) is arranged as a feeding port (81), and a distributor (10) is fixedly mounted on the bottom of the rear end slide pipe (9).

2. The swing distributor based on numerical simulation according to claim 1, characterized in that: The transmission mechanism (7) comprises: a worm (71) rotating in the upper housing (3) and a worm wheel (72) rotating in the upper housing (3); The output end of the driving servo motor (1) is fixedly connected to the worm (71), the center line of the worm wheel (72) is arranged to coincide with the center line of the material distribution tube body (5), the inner wall of the center of the worm wheel (72) is fixedly connected to the outer surface of the side of the material distribution tube body (5), and the worm (71) is meshingly connected to the worm wheel (72).

3. A method for distributing materials using a swing distributor based on numerical simulation, comprising the swing distributor based on numerical simulation as claimed in any one of claims 1 to 2, characterized in that: The specific operation steps of the swing distributor feeding method are as follows: S1: First, the geometric model of the whole chute is established by 3D software. Then, the material flow analysis model of the whole chute is established by discrete element software. The simulation model is formed to obtain the index of V-selected material uniformity. S2: Establish a regression model of the V-selected material distribution effect with respect to the swing amplitude and swing angular velocity of the swing distributor; determine the variance value S of the material quantity of each strand of material at the outlet of the distributor (10) and the fineness uniformity LMI as experimental response variables; S3: Taking the swing amplitude x and the swing angular velocity y as experimental design factors, determine the experimental combination; S4: According to the experimental combination to be conducted in S3, simulation calculations of corresponding parameter combinations are performed in sequence in the simulation model constructed in S1, and the variance value S and fineness uniformity LMI of each strand of material under each experimental condition are recorded respectively to obtain corresponding experimental data; S5: Use statistical software to analyze the experimental data in S4; S6: Use the least squares method to estimate the model coefficients and evaluate the goodness of fit of the model; cross-validate the accuracy of the model by using different data sets; S7: Obtaining the number of rotations of the worm (71) by converting the swing amplitude and the edge displacement of the worm wheel (72); S8: The linear velocity of the worm wheel (72) is obtained by converting the angular velocity and the linear velocity, and the rotational velocity of the worm (71) is obtained according to the speed ratio relationship between the worm wheel (72) and the worm (71). S9: Based on the number of rotations of the worm (71) obtained in S7 and the rotation speed of the worm (71) obtained in S8, the servo motor (1) is driven to control the material distribution tube body (5) so that the predetermined movement is achieved.

4. The method for distributing materials using a swing distributor based on numerical simulation according to claim 3, characterized in that: In S4, the steps of obtaining the fineness uniformity LMI of each strand of material are as follows: S41: First, calculate the mass fraction at the outlet of the distributor (10) S42: Calculate the variance of the mass fraction at the outlet of the distributor (10) S43: Calculate the maximum theoretical value of the fully unmixed system variance S at the outlet of the distributor (10) S44: Calculate the minimum theoretical value of the variance of the complete mixing system at the outlet of the distributor (10) S45: Calculate the Laixi mixed index at the outlet of the distributor (10) Where: N is the number of meshes at the outlet of the distributor (10), w is the average mass fraction of the meshes at the outlet of the distributor (10), w2 is the overall mass fraction of the meshes at the outlet of the distributor (10), and w i is the mass fraction of a single grid at the outlet of the distributor (10), n is the average number of particles in the grid at the outlet of the distributor (10), m1 is the additional mass of a single grid at the outlet of the distributor (10), and m2 is the additional mass of the entire grid at the outlet of the distributor (10).

5. The method for distributing materials using a swing distributor based on numerical simulation according to claim 3, characterized in that: In S3, the experimental design factors are swing amplitude x and swing angular velocity y, and each factor is set to 5 levels: Then the swing amplitude is: x1 = low, x2 = medium-low, x3 = medium, x4 = medium-high, x5 = high; Then the swing angular velocity is: y1=small, y2=medium-small, y3=medium, y4=medium-large, y5=high.

6. The method for distributing materials using a swing distributor based on numerical simulation according to claim 3, characterized in that: In S3, the experimental combination according to the central composite design includes: a corner point experimental combination, a supplementary experimental combination and a center point experimental combination; Corner point experiment combination: (x1, y1) - the swing amplitude is low and the swing angular velocity is small; (x1,y5) - the swing amplitude is low and the swing angular velocity is large; (x5,y1) - the swing amplitude is high and the swing angular velocity is small; (x5,y5) - the swing amplitude is high and the swing angular velocity is large; Supplementary experimental combination: (x1,y3) - the swing amplitude is low and the swing angular velocity is medium; (x5,y3) - the swing amplitude is high and the swing angular velocity is medium; (x3,y1) - the swing amplitude is medium and the swing angular velocity is small; (x3,y5) - the swing amplitude is medium and the swing angular velocity is large; (x2, y2) - the swing amplitude is medium-low, and the swing angular velocity is medium-small; (x2, y4) - the swing amplitude is medium-low, and the swing angular velocity is medium-large; (x4, y2) - the swing amplitude is medium-high, and the swing angular velocity is medium-small; (x4,y5) - the swing amplitude is medium-high, and the swing angular velocity is large; Center point experimental combination: (x3,y3) - The swing amplitude is medium and the swing angular velocity is medium.

7. The method for distributing materials using a swing distributor based on numerical simulation according to claim 6, characterized in that: The experimental data obtained in S4 are: (x1, y1, S1, LMI 1); (x1, y5, S2, LMI 2); (x5, y1, S3, LMI 3); (x5, y5, S4, LMI4); (x1, y3, S5, LMI5); (x5, y3, S6, LMI 6); (x3, y1, S7, LMI 7); (x3, y5, S8, LMI 8); (x2, y2, S9, LMI9); (x2, y4, S10, LMI 10); (x4, y2, S11, LMI 11); (x4, y5, S12, LMI 12); (x3, y3, S13, LMI 13).

8. The method for distributing materials using a swing distributor based on numerical simulation according to claim 3, characterized in that: In S5, the data analysis includes regression analysis; the polynomial regression model of the variance value S of the material amount of each strand and the fineness uniformity LMI with respect to the swing amplitude and the swing angular velocity is constructed as follows: S=a0+a1x+a2y+a3x 2 +a4Y 2 +a5xy; LMI=β0+β1x+β2y+β3x 2 +β4y 2 +β5xy; Among them, S represents the variance value of the material quantity of each strand, LMI represents the fineness uniformity, x is the swing amplitude, y is the swing angular velocity, and a and β are the parameters to be estimated.

Citation Information

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