CN111159855A - Simulation calculation method for crushing sepiolite in stirring mill - Google Patents
Simulation calculation method for crushing sepiolite in stirring mill Download PDFInfo
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- CN111159855A CN111159855A CN201911274618.6A CN201911274618A CN111159855A CN 111159855 A CN111159855 A CN 111159855A CN 201911274618 A CN201911274618 A CN 201911274618A CN 111159855 A CN111159855 A CN 111159855A
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- 239000004113 Sepiolite Substances 0.000 title claims abstract description 62
- 229910052624 sepiolite Inorganic materials 0.000 title claims abstract description 62
- 235000019355 sepiolite Nutrition 0.000 title claims abstract description 62
- 238000003756 stirring Methods 0.000 title claims abstract description 46
- 238000004088 simulation Methods 0.000 title claims abstract description 27
- 238000004364 calculation method Methods 0.000 title claims abstract description 13
- 239000002245 particle Substances 0.000 claims abstract description 61
- 238000000034 method Methods 0.000 claims abstract description 17
- 239000000463 material Substances 0.000 claims abstract description 11
- 230000001133 acceleration Effects 0.000 claims abstract description 5
- 238000002474 experimental method Methods 0.000 claims description 13
- 230000006835 compression Effects 0.000 claims description 3
- 238000007906 compression Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 230000005484 gravity Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000004887 air purification Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 239000000843 powder Substances 0.000 description 1
- 230000036632 reaction speed Effects 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/08—Indexing scheme for image data processing or generation, in general involving all processing steps from image acquisition to 3D model generation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
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Abstract
A simulation calculation method for sepiolite crushing in a stirring mill mainly solves the technical problems that the sepiolite crushing process cannot be accurately mastered at present and the like. The key points of the technical scheme are as follows: obtaining shape and physical parameters of sepiolite particles, material parameters and structure parameters of a stirring mill, and contact parameters between particles and a mill; according to the obtained particle shape and physical parameters, a granular sepiolite model consistent with the actual shape is created in discrete element software; creating a three-dimensional model of the stirring mill in drawing software according to the acquired structural parameters of the stirring mill; the three-dimensional model of the stirring mill needs to be converted into a file format, then the file format is led into discrete element software, and finally a discrete element simulation model for crushing sepiolite particles is established by adding conditions such as a contact model, gravity acceleration, a particle factory, mill rotating speed and the like.
Description
Technical Field
The invention relates to the technical field of simulation, in particular to a simulation calculation method for crushing sepiolite in a stirring mill.
Background
Sepiolite is a rare non-metallic mineral, which is distributed in a wide range, mainly in minor countries such as spain, china, usa and turkey. Among them, 85% of Chinese sepiolite is distributed in Hunan Tan, which has been proved to have a reserve of 2203 ten thousand tons, enjoying the reputation of worldwide sepiolite, and has become the dominant species of Hunan Tan nonmetallic ore, with great development potential.
But the raw sepiolite ore has low grade and narrow application range; after being crushed, purified and finished, the material often has a plurality of new excellent performances. The superfine powder has very fine granularity, so that it has great specific surface area, high surface activity, fast chemical reaction speed, great solubility and high filling and reinforcing performance, and may be used widely in air purification, water filtering and soil treatment. The crushing process in the previous step directly influences the crushing effect, so that the crushing significance is more important.
At present, the crushing condition of the sepiolite in the stirring mill is mainly analyzed by working experience, and the crushing condition is difficult to accurately master and the optimal process parameters are difficult to determine. Through simulation calculation, the crushing condition of the sepiolite can be simulated under different working conditions, the crushing process can be accurately mastered, and theoretical reference is provided for the crushing of the sepiolite; the time and the cost are saved, so that the simulation calculation of the sepiolite crushing process is of great significance.
Disclosure of Invention
In order to solve the problems, the invention provides a simulation calculation method for crushing sepiolite in a stirring mill.
The technical scheme adopted by the invention for solving the technical problems is as follows:
it comprises the following steps:
step 2, acquiring physical parameters of sepiolite particles, material parameters of a stirring mill, contact parameters between the sepiolite particles and contact parameters between the stirring mill and the sepiolite particles through experiments;
step 3, importing the sepiolite particle entity graph drawn in the step 1 into discrete element software, and setting corresponding parameters in the discrete element software according to the physical parameters of the sepiolite particles obtained in the step 2, so as to establish a sepiolite particle discrete element model consistent with the actual shape;
step 4, establishing a three-dimensional model of the stirring mill in three-dimensional software according to the structural parameters of the stirring mill;
and 5, converting the three-dimensional model of the stirring mill into a file format, introducing the file format into discrete element software, and establishing a simulation model for crushing sepiolite particles by adding simulation parameters such as a contact model, gravitational acceleration, a particle factory, mill rotating speed and the like.
The experiment for obtaining the physical parameters of the sepiolite particles and the material parameters of the stirring mill in the step 2 can adopt a density method (the measured density is equal to the ratio between the mass and the volume, namely
) Uniaxial compression method (Poisson's ratio measured is equal to the absolute ratio of transverse positive strain and axial positive strain, i.e.
). The experiment for obtaining the contact parameters between the sepiolite particles and the stirring mill and the sepiolite particles can adopt a stacking angle experiment.
The contact parameters between the sepiolite particles and between the stirring mill and the sepiolite particles comprise: static coefficient of friction, dynamic coefficient of friction, and coefficient of restitution.
The physical parameters of the sepiolite particles include: density, shear modulus and poisson's ratio.
The material parameters of the stirring mill include: poisson's ratio, density and shear modulus.
The structural parameters of the stirring mill comprise: diameter, height and thickness of the cylinder.
The contact model includes: a model of particle-to-particle contact, a model of particle-to-mill contact, and a particle body force.
The contact model between the particles is a Hertz-Mindlin with binding model, the contact model between the particles and the mill is Hertz-Mindlin (no slip), the acting force of the particle body is a file with a suffix of 'dll' generated by C + + compiling, and the file and a text file for storing the position information of the particles are put into a working catalog of discrete metasoftware.
The invention has the beneficial effects that: obtaining shape and physical parameters of sepiolite particles, material parameters and structure parameters of a stirring mill, and contact parameters between particles and a mill; according to the obtained particle shape and physical parameters, a granular sepiolite model consistent with the actual shape is created in discrete element software; creating a three-dimensional model of the stirring mill in drawing software according to the acquired structural parameters of the stirring mill; the three-dimensional model of the stirring mill needs to be converted into a file format, then the file format is led into discrete element software, and finally a discrete element simulation model for crushing sepiolite particles is established by adding simulation parameters such as a particle contact model, gravitational acceleration, a particle factory, mill rotating speed and the like. The invention adopts discrete element software to simulate and analyze the sepiolite crushing process, thereby not only saving the cost, but also obtaining the optimal process parameters and improving the productivity.
Drawings
FIG. 1 is a flow chart of a fracturing simulation;
FIG. 2 is an initial state diagram of a fracturing simulation;
FIG. 3 is a state diagram of the fracturing simulation at 0.3 s;
FIG. 4 is a final state diagram of a fracturing simulation.
Detailed Description
The invention is further described in detail with reference to the drawings and the embodiments, the EDEM2018 is selected as the discrete element simulation software, and the specific steps are as follows:
(1) the shape of the granular sepiolite is obtained through a 3D scanning technology, the obtained shape file is a point cloud (asc), the point cloud (asc) file is led into three-dimensional drawing software and then drawn into an entity, and therefore the real granular shape is obtained and led into a discrete element to serve as a granular template for simulation calculation.
(2) Acquiring physical parameters of sepiolite particles and material parameters of a stirring mill through experiments (such as a density method and a uniaxial compression method); the contact parameters from particle to particle and from particle to mill were obtained by the angle of repose experiment.
In the present embodiment, the physical parameters of sepiolite include: poisson's ratio, density and shear modulus; the material property parameters of the stirring mill include: poisson's ratio, density and shear modulus; the contact parameters of the sepiolite particles and the stirring mill comprise; static coefficient of friction, dynamic coefficient of friction, and coefficient of restitution. The parameters obtained in the experiment are shown in the following table:
(3) according to the shape and physical parameters of the sepiolite particles obtained in the steps 1 and 2, leading the drawn sepiolite particles into discrete element software, and setting corresponding physical parameters, so as to establish a discrete element model of the sepiolite particles, wherein the discrete element model is consistent with the actual shape;
(4) and establishing a three-dimensional model of the stirring mill in three-dimensional software according to the structural parameters of the stirring mill. In this example, the structural parameters of the agitator mill are shown in table 2:
TABLE 2 structural parameters of the stirring mill
(5) And converting the three-dimensional model of the stirring mill into a step file format, introducing the step file format into discrete element software, and establishing a simulation model for crushing sepiolite particles by adding simulation parameters such as a contact model, gravitational acceleration, a particle factory, mill rotating speed and the like.
The protection scope of the present invention is not limited to the content of the technical solutions shown in any of the above embodiments, and is within the protection scope of the present invention as long as the communication or similar working principles of the present invention are adopted.
Claims (9)
1. A simulation calculation method for crushing sepiolite in a stirring mill is characterized by comprising the following steps:
step 1, acquiring the shape of granular sepiolite by a 3D scanning technology, wherein the acquired shape file is a point cloud (asc), and drawing the point cloud (asc) file into an entity graph after the point cloud (asc) file is imported into three-dimensional drawing software, so that a real granular shape is acquired;
step 2, acquiring physical parameters of sepiolite particles, material parameters of a stirring mill, contact parameters between the sepiolite particles and contact parameters between the stirring mill and the sepiolite particles through experiments;
step 3, importing the sepiolite particle entity graph drawn in the step 1 into discrete element software, and setting corresponding parameters in the discrete element software according to the physical parameters of the sepiolite particles obtained in the step 2, so as to establish a sepiolite particle discrete element model consistent with the actual shape;
step 4, establishing a three-dimensional model of the stirring mill in three-dimensional software according to the structural parameters of the stirring mill;
and 5, converting the three-dimensional model of the stirring mill into a file format, introducing the file format into discrete element software, and establishing a simulation model for crushing sepiolite particles by adding simulation parameters such as a contact model, gravitational acceleration, a particle factory, mill rotating speed and the like.
2. The simulation calculation method for sepiolite crushing in the stirring mill as claimed in claim 1, wherein the experiment for obtaining the physical parameters of the sepiolite particles and the material parameters of the stirring mill in the step 2 can adopt a density method experiment and a uniaxial compression method experiment.
3. The simulation calculation method for sepiolite crushing in the stirring mill as claimed in claim 1, wherein the experiment for obtaining the contact parameters between the sepiolite particles and the stirring mill and the sepiolite particles in the step 2 can adopt a stacking angle experiment.
4. The method of claim 1, wherein the contact parameters between the sepiolite particles and between the stirring mill and the sepiolite particles comprise: static coefficient of friction, dynamic coefficient of friction, and coefficient of restitution.
5. The method of claim 1, wherein the physical parameters of the sepiolite particles comprise: density, shear modulus and poisson's ratio.
6. The simulation calculation method for sepiolite crushing in the stirring mill according to claim 1, wherein the material parameters of the stirring mill include: poisson's ratio, density and shear modulus.
7. The simulation calculation method for sepiolite crushing in the stirring mill according to claim 1, wherein the structural parameters of the stirring mill include: diameter, height and thickness of the cylinder.
8. The method of claim 1, wherein the contact model comprises: a model of particle-to-particle contact, a model of particle-to-mill contact, and a particle body force.
9. The method of claim 8, wherein the Hertz-minilin with binding model is used as the model of the contact between the particles and the mill, Hertz-minilin (no slip) is used as the model of the contact between the particles and the mill, and the file "dll" is generated by C + + compiling the particle body force and put into the working directory of the discrete metasoftware together with the text file storing the particle position information.
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| CN201911274618.6A CN111159855A (en) | 2019-12-12 | 2019-12-12 | Simulation calculation method for crushing sepiolite in stirring mill |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112699587A (en) * | 2020-12-31 | 2021-04-23 | 三一专用汽车有限责任公司 | Method and device for predicting abrasion loss of mixing drum and readable storage medium |
| CN117291083A (en) * | 2023-09-11 | 2023-12-26 | 湘潭大学 | Rock discrete element model building method, rock mechanics multi-scale computing method, system and medium |
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2019
- 2019-12-12 CN CN201911274618.6A patent/CN111159855A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112699587A (en) * | 2020-12-31 | 2021-04-23 | 三一专用汽车有限责任公司 | Method and device for predicting abrasion loss of mixing drum and readable storage medium |
| CN117291083A (en) * | 2023-09-11 | 2023-12-26 | 湘潭大学 | Rock discrete element model building method, rock mechanics multi-scale computing method, system and medium |
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Application publication date: 20200515 |