Flow part wear analysis system based on solid-liquid two-phase flow
By simulating the sphericity of non-spherical ore particles using the EDEM model and dividing the wear intervals, the particle wear coefficient was calculated. This solved the problem of inaccurate wear analysis in the existing system, enabling more accurate wear prediction and equipment maintenance planning, and improving production efficiency.
Patent Information
- Application Number
- CN202410277100.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-12
- Publication Date
- 2025-10-21
- Estimated Expiration
- 2044-03-12
AI Technical Summary
Existing wear analysis systems for flow components in solid-liquid two-phase flow have difficulty accurately describing the wear of flow components caused by non-spherical particles. This is because traditional models assume that particles are perfectly spherical and ignore the diversity of ore particle shapes, resulting in large prediction errors and affecting equipment maintenance and life prediction.
The EDEM particle packing model is used to simulate the stacking morphology of non-spherical ore particles, calculate their sphericity, divide them into multiple spherical intervals, assign different wear parameters to each interval, calculate the particle wear coefficient, and generate early warning signals to reflect the actual wear potential.
Improved accuracy and reliability of wear analysis enable better planning of equipment maintenance and replacement cycles, reducing unexpected downtime and improving production efficiency.
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Figure CN118332943B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of wear analysis of flow components, and in particular to a wear analysis system for flow components based on solid-liquid two-phase flow. Background Art
[0002] Ore transportation mainly uses a conveying system consisting of a solid-liquid two-phase flow pump and its supporting pipelines. Pipeline transportation has the advantages of large transportation volume, continuity, and stability, and serves as the conveying part of the entire system. Centrifugal slurry pumps are usually used for ore and mud transportation, serving as the power part of the entire system. The conveying system composed of a centrifugal slurry pump and its supporting pipelines, the conveying medium includes sand, gravel, ore and other particulate matter, often causes mutual friction and collision between the particles and the pipe wall and the flow-through components in the pump, resulting in the shedding of pipe wall, impeller, and pump casing material, causing the pipe wall, impeller, and pump casing to become thinner and wear through, and failing to achieve the expected service life of the components, affecting the continuity of transportation and even creating safety hazards.
[0003] However, the problems faced by flow component wear analysis systems based on solid-liquid two-phase flow in practical applications are usually related to the complexity of particle shape and the unpredictability of flow behavior. Existing analysis systems find it difficult to accurately describe the wear caused by non-spherical particles on flow components, because traditional models often assume that particles are perfectly spherical and ignore the diversity of ore particle shapes in real situations. This will lead to a large difference between the predicted wear and the actual wear, thereby affecting the maintenance plan and life prediction of the equipment. Based on this, a flow component wear analysis system based on solid-liquid two-phase flow is proposed. Summary of the Invention
[0004] The purpose of the present invention is to provide a flow component wear analysis system based on solid-liquid two-phase flow, which solves the technical problem that existing analysis systems are difficult to accurately describe the wear caused by non-spherical particles on flow components. This is because traditional models often assume that particles are perfectly spherical and ignore the diversity of ore particle shapes in real situations.
[0005] The purpose of the present invention can be achieved through the following technical solutions:
[0006] The wear analysis system for flow components based on solid-liquid two-phase flow includes:
[0007] The sphericity generation module is used to collect and analyze the ore particles in the ore and slurry fluid to be transported by the centrifugal slurry pump, and then obtain the corresponding sphericity of the fluid transported by the centrifugal slurry pump;
[0008] A wear parameter generation module is used to generate multiple spherical intervals according to the minimum value 0 and the maximum value 1 of the sphericity, and then mark the wear parameters corresponding to each spherical interval, thereby obtaining the wear parameters corresponding to each spherical interval;
[0009] The particle wear coefficient generation module is used to obtain the number of ore particles in the sample data located in each spherical interval based on the sphericity corresponding to each ore particle and the wear parameters corresponding to each spherical interval in the sample data, and then obtain the particle wear coefficient of the ore and mud fluid to be transported by the centrifugal slurry pump based on the number of ore particles in the sample data located in each spherical interval.
[0010] As a further solution of the present invention, the specific method for obtaining the corresponding sphericity of the fluid transported by the centrifugal slurry pump is:
[0011] The ore particles in the sample data are collected and analyzed through the EDEM particle stacking model to obtain the sphericity corresponding to the ore particles in the sample data. In the EDEM particle stacking model, each non-spherical ore particle is simulated by stacking multiple spherical particles to obtain the stacking form corresponding to each non-spherical ore particle, and the surface area corresponding to the stacking form of each non-spherical ore particle is obtained. The ratio between the stacking form and the surface area of a sphere of the same volume is marked as the sphericity corresponding to each non-spherical ore particle, and the sphericity corresponding to the non-spherical ore particle in the sample data is obtained and marked as Ki, where i refers to the number of non-spherical ore particles in the sample data, i≥1.
[0012] As a further solution of the present invention: since the ratio between the surface area of a spherical ore particle and a sphere of the same volume is still 1, the sphericity of the spherical ore particles is marked as 1, and the sphericity Ka corresponding to each ore particle in the sample data is obtained, where a refers to the number of corresponding ore particles in the sample data, and a≥i≥1.
[0013] As a further solution of the present invention, the specific method of obtaining the wear parameters corresponding to each spherical interval is:
[0014] The sphericity from 0 to 1 is equally divided into multiple spherical intervals according to equal preset intervals Y1, and each spherical interval is marked in order from front to back as spherical interval 1, spherical interval 2, ..., spherical interval c, where c is the number corresponding to the spherical interval, c ≥ 1, Y1 is a preset value, and β1, β2, ..., βc are used as wear parameters corresponding to spherical interval 1, spherical interval 2, ..., spherical interval c, respectively. β1, β2, ..., βc are all preset values, where β1>β2>, ..., >βc.
[0015] As a further solution of the present invention, a specific method for obtaining the particle wear coefficient of the ore or slurry fluid to be transported by the centrifugal slurry pump is as follows:
[0016] The particle wear coefficient E1 of the ore and mud fluid to be transported by the centrifugal slurry pump is calculated by the formula, where θe is the preset fixed coefficient corresponding to each De / a, c≥e≥1, and De is the number of ore particles in the sample data located in each spherical interval.
[0017] As a further solution of the present invention, a specific method for obtaining the number of ore particles in the sample data that are located in each spherical interval is:
[0018] The sphericity corresponding to each ore particle in the sample data is substituted into each spherical interval for analysis, and the number of ore particles in the sample data located in each spherical interval is obtained and marked as De.
[0019] As a further solution of the present invention: it is characterized in that when the particle wear coefficient E1 is greater than Y2, an early warning signal is generated.
[0020] Beneficial effects of the present invention:
[0021] (1) The present invention collects and analyzes the shape of ore particles and uses the ratio of its surface area to that of a sphere of the same volume as the sphericity, thereby quantifying the difference between the particle shape and the standard sphere, so that the influence of non-spherical particles can be systematically taken into account, thereby improving the accuracy of wear analysis. By dividing the sphericity into different intervals and assigning different wear parameters to each interval, the influence of particles of different shapes on the wear of flow components can be described in more detail. The diversity of particle shapes is taken into account, and the particle wear coefficient is calculated by calculating the number of ore particles in the sample data that are located in each spherical interval and combining it with a preset fixed coefficient. The particle wear coefficient reflects the actual wear potential of ore and mud fluid on the centrifugal slurry pump, so as to more accurately predict the wear potential of ore and mud fluid to be transported by the centrifugal slurry pump, making the wear analysis of flow components more accurate and reliable, and relevant personnel can better plan the maintenance and replacement cycle of equipment, reduce unexpected downtime, and improve production efficiency.
[0022] (2) The present invention warns the centrifugal slurry pump through an early warning signal that the particle wear coefficient of the ore particles in the ore and mud fluid to be transported is relatively large, that is, when the centrifugal slurry pump is transporting the ore and mud fluid, the wear on the flow-through components is relatively large. Through the early warning signal, relevant personnel can better plan the use of the equipment, reduce unexpected downtime, and improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] The present invention will be further described below with reference to the accompanying drawings.
[0024] Figure 1 It is a schematic diagram of the system framework structure of the present invention;
[0025] Figure 2 It is a schematic diagram of the framework structure of the method of the present invention. DETAILED DESCRIPTION
[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 making any creative efforts shall fall within the scope of protection of the present invention.
[0027] Example 1
[0028] See also Figure 1-Figure 2 As shown, the present invention is a flow component wear analysis system based on solid-liquid two-phase flow, comprising:
[0029] The sphericity generation module is used to collect and analyze the ore particles in the ore and slurry fluid to be transported by the centrifugal slurry pump, and then obtain the corresponding sphericity of the fluid transported by the centrifugal slurry pump. The specific method is as follows:
[0030] Sample data is collected for the ore and mud fluid to be transported in the deep sea. The specific method of obtaining sample data is as follows: relevant staff randomly collect the ore and mud fluid to be transported multiple times before the centrifugal slurry pump starts working, and put them together to form sample data, so as to ensure that the sample data is random and universal;
[0031] The ore particles in the sample data are collected and analyzed using the EDEM particle accumulation model to obtain the sphericity of the ore particles in the sample data. The specific method is as follows:
[0032] In the EDEM particle stacking model, each non-spherical ore particle is simulated by stacking multiple spherical particles, and then the stacking morphology corresponding to each non-spherical ore particle is obtained. That is, the morphology of each non-spherical ore particle is represented by stacking multiple spherical particles.
[0033] It should be noted that the EDEM particle packing model is one of the existing models. EDEM is a numerical technique for simulating the dynamics of particle systems. It can simulate the interactions between particles and their interactions with boundaries. In EDEM, the particle packing model is an important function that allows users to create and analyze the behavior of particle collections, such as how particles fill space, how they interact, and their flow characteristics. It is an existing and mature technology, so it will not be discussed in detail here.
[0034] Obtain the surface area of each non-spherical ore particle corresponding to the stacking form, and mark the ratio between it and the surface area of a sphere of the same volume as the sphericity corresponding to each non-spherical ore particle. Then obtain the sphericity corresponding to the non-spherical ore particles in the sample data and mark it as Ki, where i refers to the number of non-spherical ore particles in the sample data, i ≥ 1;
[0035] Since the ratio between the surface area of a spherical ore particle and a sphere of the same volume is still 1, the sphericity of the spherical ore particles is marked as 1, and the sphericity Ka corresponding to each ore particle in the sample data is obtained, where a refers to the number of corresponding ore particles in the sample data, and a≥i≥1;
[0036] Sphericity is used to quantify the smoothness of each ore particle. A sphericity of 1 indicates that the ore particle is a perfect sphere, while a sphericity less than 1 indicates that the particle is non-spherical. Sphericity is used to indicate the degree of similarity between each ore particle and a perfect sphere. Ore particles with different sphericity have different effects on fluid flow and wear. Ore particles with high sphericity (sphericity close to 1) generally have better fluidity, while particles with low sphericity (sphericity close to 0) may cause more friction and impact, resulting in higher
[0037] The wear parameter generation module is used to generate multiple spherical intervals based on the minimum value 0 and the maximum value 1 of the sphericity, and then mark the wear parameters corresponding to each spherical interval, and then obtain the wear parameters corresponding to each spherical interval. The specific method is as follows:
[0038] The sphericity from 0 to 1 is evenly divided into multiple spherical intervals according to the equal preset interval Y1, and then multiple spherical intervals are generated. Each spherical interval is marked in order from front to back as spherical interval 1, spherical interval 2, ..., spherical interval c, where c is the number of spherical intervals, c ≥ 1, and Y1 is a preset value. The specific value of Y1 is formulated by relevant personnel according to actual needs;
[0039] β1, β2, ..., βc are respectively used as the wear parameters corresponding to spherical interval 1, spherical interval 2, ..., spherical interval c, and β1, β2, ..., βc are all preset values, where β1>β2>, ..., >βc are satisfied, that is, the smaller the sphericity value corresponding to the spherical interval, the greater the wear parameter of the corresponding interval;
[0040] The particle wear coefficient generation module is used to obtain the number of ore particles in the sample data located in each spherical interval based on the sphericity corresponding to each ore particle and the wear parameters corresponding to each spherical interval in the sample data, and then obtain the particle wear coefficient of the ore and mud fluid to be transported by the centrifugal slurry pump based on the number of ore particles in the sample data located in each spherical interval. The specific method is as follows:
[0041] Substitute the sphericity corresponding to each ore particle in the sample data into the spherical interval one by one for analysis, obtain the number of ore particles in the sample data located in each spherical interval and mark them as D1, D2, ..., Dc respectively;
[0042] By formula Calculate and obtain the particle wear coefficient E1 of the ore and slurry fluid to be transported by the centrifugal slurry pump, where θe is the preset fixed coefficient corresponding to each De / a. The specific value is formulated by relevant personnel based on actual needs, and c≥e≥1;
[0043] By analyzing the shape of ore particles in the ore and slurry fluid to be transported by the centrifugal slurry pump, the wear of the flow components of the centrifugal slurry pump in the solid-liquid two-phase flow in the ore conveying system can be accurately predicted, which helps relevant personnel provide systematic design solutions to reduce equipment wear and extend service life.
[0044] By collecting and analyzing the shape of ore particles, the ratio of its surface area to the surface area of a sphere of the same volume is used as the sphericity, thereby quantifying the difference between the particle shape and the standard sphere, so that the influence of non-spherical particles can be systematically taken into account, thereby improving the accuracy of wear analysis. By dividing the sphericity into different intervals and assigning different wear parameters to each interval, the influence of particles of different shapes on the wear of flow components can be described in more detail. Taking into account the diversity of particle shapes, the particle wear coefficient is calculated by calculating the number of ore particles in the sample data located in each spherical interval and combining it with a preset fixed coefficient. The particle wear coefficient reflects the actual wear potential of ore and mud fluid on the centrifugal slurry pump, so as to more accurately predict the wear potential of ore and mud fluid to be transported by the centrifugal slurry pump, making the wear analysis of flow components more accurate and reliable, and relevant personnel can better plan the maintenance and replacement cycle of equipment, reduce unexpected downtime, and improve production efficiency.
[0045] Example 2
[0046] As the second embodiment of the present invention, when the present application is specifically implemented, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in this embodiment;
[0047] When the particle wear coefficient E1 is greater than Y2, an early warning signal is generated. The early warning signal warns the centrifugal slurry pump that the particle wear coefficient corresponding to the ore particles in the ore and mud fluid to be transported is large, that is, when the centrifugal slurry pump is transporting ore and mud fluid, the wear on the flow-through components is large. Through the early warning signal, relevant personnel can better plan the use of equipment, reduce unexpected downtime, and improve production efficiency.
[0048] Example 3
[0049] As the third embodiment of the present invention, when this application is specifically implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments.
[0050] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters and thresholds in the formulas are set by technicians in this field according to actual conditions.
[0051] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.
Claims
1. The wear analysis system of flow components based on solid-liquid two-phase flow is characterized by: include: The sphericity generation module is used to collect and analyze the ore particles in the ore and slurry fluid to be transported by the centrifugal slurry pump, and then obtain the corresponding sphericity of the fluid transported by the centrifugal slurry pump; A wear parameter generation module is used to generate multiple spherical intervals according to the minimum value 0 and the maximum value 1 of the sphericity, and then mark the wear parameters corresponding to each spherical interval, thereby obtaining the wear parameters corresponding to each spherical interval; A particle wear coefficient generation module is used to obtain the number of ore particles in the sample data that are located in each spherical interval based on the sphericity corresponding to each ore particle and the wear parameters corresponding to each spherical interval in the sample data, and then obtain the particle wear coefficient of the ore and mud fluid to be transported by the centrifugal slurry pump based on the number of ore particles in the sample data that are located in each spherical interval; The specific method to obtain the corresponding sphericity of the fluid transported by the centrifugal slurry pump is: The ore particles in the sample data are collected and analyzed by the EDEM particle stacking model to obtain the sphericity corresponding to the ore particles in the sample data. In the EDEM particle stacking model, each non-spherical ore particle is simulated by stacking multiple spherical particles to obtain the stacking form corresponding to each non-spherical ore particle, and the surface area corresponding to the stacking form of each non-spherical ore particle is obtained. The ratio between the surface area and the surface area of a sphere of the same volume is marked as the sphericity corresponding to each non-spherical ore particle, and the sphericity corresponding to the non-spherical ore particle in the sample data is obtained and marked as Ki, where i refers to the number of non-spherical ore particles in the sample data, and i ≥ 1; The specific method for obtaining the particle wear coefficient of the ore and slurry fluid to be transported by the centrifugal slurry pump is: By formula , calculate and obtain the particle wear coefficient E1 of the ore and mud fluid to be transported by the centrifugal slurry pump, where θe is the preset fixed coefficient corresponding to each De / a, c≥e≥1, and De is the number of ore particles in the sample data located in each spherical interval.
2. The wear analysis system for flow components based on solid-liquid two-phase flow according to claim 1 is characterized in that: Since the ratio between the surface area of a spherical ore particle and a sphere of the same volume is still 1, the sphericity of the spherical ore particles is marked as 1, and the sphericity Ka corresponding to each ore particle in the sample data is obtained, where a refers to the number of corresponding ore particles in the sample data, and a≥i≥1.
3. The wear analysis system for flow components based on solid-liquid two-phase flow according to claim 2, characterized in that: The specific method of obtaining the wear parameters corresponding to each spherical interval is: The sphericity from 0 to 1 is equally divided into multiple spherical intervals according to equal preset intervals Y1, and each spherical interval is marked in order from front to back as spherical interval 1, spherical interval 2, ..., spherical interval c, where c is the number corresponding to the spherical interval, c ≥ 1, Y1 is a preset value, and β1, β2, ..., βc are used as wear parameters corresponding to spherical interval 1, spherical interval 2, ..., spherical interval c, respectively. β1, β2, ..., βc are all preset values, where β1>β2>, ..., >βc.
4. The wear analysis system for flow components based on solid-liquid two-phase flow according to claim 1, characterized in that: The specific method for obtaining the number of ore particles in the sample data located in each spherical interval is: The sphericity corresponding to each ore particle in the sample data is substituted into each spherical interval for analysis, and the number of ore particles in the sample data located in each spherical interval is obtained and marked as De.
5. The wear analysis system for flow components based on solid-liquid two-phase flow according to claim 4 is characterized in that: When the particle wear coefficient E1 is greater than Y2, an early warning signal is generated.
Citation Information
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