CN112182949A - Oil abrasive particle statistical method and system based on computer-aided technology - Google Patents

Oil abrasive particle statistical method and system based on computer-aided technology Download PDF

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CN112182949A
CN112182949A CN202011366927.9A CN202011366927A CN112182949A CN 112182949 A CN112182949 A CN 112182949A CN 202011366927 A CN202011366927 A CN 202011366927A CN 112182949 A CN112182949 A CN 112182949A
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oil
abrasive particles
abrasive
model
oil liquid
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CN112182949B (en
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水沛
尹旭晔
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ZHEJIANG CHTRICSAFEWAY NEW ENERGY TECHNOLOGY CO LTD
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/25—Design optimisation, verification or simulation using particle-based methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/28—Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/08—Fluids
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces

Abstract

The invention discloses an oil abrasive particle statistical method based on a computer-aided technology, which is characterized in that a laminar flow model of oil is constructed based on a Navistokes equation, and the laminar flow model is used for outputting a flow velocity field of the oil; constructing a level set model according to the obtained sizes of the abrasive particles and the flow velocity field of the oil liquid, and calculating to obtain the motion track of the abrasive particles in the oil liquid; according to the positions of the abrasive particles in the oil liquid at all times and the corresponding magnetic permeability and electric conductivity, constructing an electromagnetic field model of the oil liquid containing the abrasive particles, acquiring the electromagnetic signal amplitude and the electromagnetic phase corresponding to the abrasive particles with different attributes, and dividing the abrasive particles into various abrasive particle categories according to the attributes; the method comprises the steps of obtaining the electromagnetic signal amplitude and the electromagnetic phase of each abrasive particle passing through oil in a preset collection period, dividing each abrasive particle into corresponding abrasive particle types, and counting the number of the abrasive particles in each abrasive particle type. The oil abrasive particle quantitative analysis and classification statistical method can be used for more accurately carrying out quantitative analysis and classification statistical on the oil abrasive particles.

Description

Oil abrasive particle statistical method and system based on computer-aided technology
Technical Field
The invention relates to the technical field of information fusion processing, in particular to an oil abrasive particle statistical method and system based on a computer-aided technology.
Background
As the degree of automation of industrial processes increases, the connections between the various parts of the plant become more intimate, with the transmission parts being subject to inevitable wear due to relative movement and friction. Nowadays, mechanical equipment is often characterized by high precision, high rotating speed and the like, but the mechanical equipment brings the harm of accelerated wear. Along with the increase of working time and work load, the degree of wear also can improve by a wide margin, if not maintain in time, then can lead to whole machine to damage and even become invalid, influence production efficiency, cause economic loss, threaten staff's safety even. The mechanical equipment can normally run only by using lubricating oil to lubricate high-speed rotating parts such as gears, bearings and the like, the mechanical abrasion can be reduced due to the good state of the lubricating oil, and the service life of the equipment is effectively prolonged. Therefore, the detection of the oil is very important, and the detection and analysis of the abrasive particles can not only obtain the state of the oil, but also obtain the information of the lubrication and wear conditions of the equipment, and timely replace the oil or replace related parts to prevent the occurrence of faults.
At present, methods for detecting abrasion impurities of lubricating oil used in mechanical equipment are divided into an off-line type and an on-line type. The off-line sampling is to sample oil after the mechanical equipment is operated. Although the detection method has extremely high detection precision, the detection period is too long, and potential safety hazards of the engine cannot be found in time. The on-line oil abrasive particle detection sensor is mainly installed on an oil pipeline, is mainly a three-solenoid differential sensor at present and comprises an induction coil and two excitation coils, wherein the center line of the induction coil is the same straight line, the induction coil is arranged in the middle, and the two excitation coils with opposite winding directions abut against the two ends of the induction coil. The sensor is arranged in an oil pipeline, when abrasive particle impurities in oil enter an exciting coil at one end, a magnetic field in the coil is disturbed, the induction coil generates a sine-wave-like signal in positive or negative phase due to the change of the magnetic field intensity, and the abrasive particles in the oil are analyzed by measuring a waveform signal.
Disclosure of Invention
In view of the above, the invention provides a computer-aided technology-based oil abrasive particle statistical method and system, which can perform quantitative analysis and classification statistics on oil abrasive particles more accurately by constructing computer-aided models such as a fluid mechanics model, a level set model and an electromagnetic field model.
In order to achieve the aim, the invention provides an oil abrasive particle statistical method based on a computer-aided technology, which comprises the following steps:
s1, constructing a laminar flow model of the oil liquid based on the Navistokes equation according to the dynamic viscosity and the effective density of the oil liquid, wherein the laminar flow model is used for outputting a flow velocity field of the oil liquid according to the pressure difference of two ends of the oil liquid collected by the oil liquid detection device;
s2, constructing a level set model according to the obtained sizes of the abrasive particles and the flow velocity field of the oil, outputting acting force of the flow velocity field on the abrasive particles through the level set model, and calculating to obtain the motion track of the abrasive particles in the oil;
s3, obtaining the positions of the abrasive particles in the oil liquid at all times and corresponding magnetic permeability and electric conductivity according to the motion trail, constructing an electromagnetic field model of the oil liquid containing the abrasive particles, obtaining electromagnetic signal amplitudes and electromagnetic phases corresponding to the abrasive particles with different attributes based on the electromagnetic field model, and classifying the abrasive particles into various abrasive particle categories according to the attributes, wherein the attributes comprise size, material and quantity;
and S4, acquiring the electromagnetic signal amplitude and the electromagnetic phase of each abrasive particle passing through the oil liquid in a preset acquisition period, dividing each abrasive particle into corresponding abrasive particle types, and counting the number of the abrasive particles in each abrasive particle type.
Preferably, the step S1 includes:
in the initialization parameters of the laminar flow model,setting an initial velocity field of a flow velocity field
Figure 968670DEST_PATH_IMAGE001
Setting initial parameters of pressure difference
Figure 744865DEST_PATH_IMAGE002
And calculating the flow velocity field of the oil liquid by the formulas (1), (2), (3) and (4):
Figure 993444DEST_PATH_IMAGE004
；
Figure 388653DEST_PATH_IMAGE006
；
Figure 999763DEST_PATH_IMAGE008
；
Figure 822225DEST_PATH_IMAGE010
；
wherein the content of the first and second substances,
Figure 948313DEST_PATH_IMAGE011
is the initial fluid density of the oil,
Figure 616055DEST_PATH_IMAGE012
is the initial dynamic viscosity of the oil liquid,
Figure 284934DEST_PATH_IMAGE013
is a flow velocity field of the oil liquid,
Figure 75035DEST_PATH_IMAGE014
in order to be a shear stress tensor,
Figure 829365DEST_PATH_IMAGE015
the pressure difference between the two ends of the oil liquid,
Figure 566376DEST_PATH_IMAGE016
in order to be a volume force,
Figure 697885DEST_PATH_IMAGE017
in the form of the partial derivative, the derivative,
Figure 862151DEST_PATH_IMAGE018
in the form of a unit tensor,
Figure 103776DEST_PATH_IMAGE019
in (1)
Figure 972375DEST_PATH_IMAGE020
Is a transpose of the matrix and,
Figure 615846DEST_PATH_IMAGE021
as a matter of time, the time is,
Figure 747750DEST_PATH_IMAGE022
is the normal vector of the interface of the abrasive particles and the oil,
Figure 476672DEST_PATH_IMAGE023
for a given maximum surface tension coefficient,
Figure 24328DEST_PATH_IMAGE024
a small distance above the boundary surface.
Preferably, the step S2 includes:
constructing the level set model based on control equations (5), (6) and (7) according to the flow velocity field of the oil fluid:
Figure 381360DEST_PATH_IMAGE026
；
Figure 949744DEST_PATH_IMAGE028
；
Figure 900383DEST_PATH_IMAGE030
；
wherein the content of the first and second substances,
Figure 251729DEST_PATH_IMAGE031
is the initial value of the level set parameter,
Figure 604213DEST_PATH_IMAGE032
is the level set coefficient of the abrasive grain, if
Figure 405816DEST_PATH_IMAGE032
A value of 1 indicates that the phase occupying the position of the flow velocity field is an abrasive particle, and if it is 1, it indicates that the phase occupies the position of the flow velocity field
Figure 843751DEST_PATH_IMAGE032
0, indicating that the phase occupying the position of the flow velocity field is oil,
Figure 733209DEST_PATH_IMAGE013
is a flow velocity field of the oil liquid,
Figure 205779DEST_PATH_IMAGE033
and
Figure 115966DEST_PATH_IMAGE034
model parameters of the level set model.
Preferably, the step S2 further includes:
from the calculated level set coefficient field
Figure 634672DEST_PATH_IMAGE035
Traversing the solution area of the computer simulation model and obtaining continuous level set coefficient subdomains
Figure 858980DEST_PATH_IMAGE036
I.e. by
Figure 654898DEST_PATH_IMAGE032
A spatial set of 1, the volume of the region
Figure 939249DEST_PATH_IMAGE037
The effective grain diameter of the abrasive grains is obtained according to the calculation grid in the traversing process
Figure 151443DEST_PATH_IMAGE038
Expressed as:
Figure 694288DEST_PATH_IMAGE040
；
the flow velocity field applies forces to the abrasive particles:
Figure 672609DEST_PATH_IMAGE042
；
wherein the content of the first and second substances,
Figure 721336DEST_PATH_IMAGE043
the area of the micro surface element on the surface of the abrasive particle is shown;
and calculating the motion track of the abrasive particles in the oil by Newton's second law under the influence of the resultant force of the applied force and the gravity.
Preferably, the method further comprises:
and performing effective value calculation on the effective density of the initial fluid of the oil and the initial dynamic viscosity of the oil based on the relation between the level set coefficient and the position and time of the abrasive particles in the flow velocity field, so that the effective fluid density of the oil and the abrasive particles is the same
Figure 621159DEST_PATH_IMAGE044
And effective dynamic viscosity
Figure 656111DEST_PATH_IMAGE012
Respectively as follows:
Figure 754517DEST_PATH_IMAGE046
；
Figure 115091DEST_PATH_IMAGE048
；
wherein the content of the first and second substances,
Figure 98615DEST_PATH_IMAGE044
1the density of the oil is taken as the density of the oil,
Figure 468417DEST_PATH_IMAGE044
2in order to obtain the density of the abrasive particles,
Figure 93433DEST_PATH_IMAGE012
1the dynamic viscosity of the oil is shown as the viscosity,
Figure 890488DEST_PATH_IMAGE012
2is the kinetic viscosity of the abrasive particles;
based on the effective fluid density of the oil and the abrasive particles
Figure 92799DEST_PATH_IMAGE044
And effective dynamic viscosity
Figure 266292DEST_PATH_IMAGE012
Performing a new round of calculation on the laminar flow model and the level set model to obtain a new level set coefficient, and comparing the new level set coefficient with the level set coefficient
Figure 73711DEST_PATH_IMAGE032
And comparing, if the error of the two is more than 0.001, repeating the steps to carry out the next round of iterative solution until the error is less than 0.001, and completing solution convergence.
Preferably, the step S3 includes:
according to the level set coefficient
Figure 41667DEST_PATH_IMAGE032
Calculating to obtain the effective magnetic permeability of the oil liquid and the abrasive particles
Figure 606640DEST_PATH_IMAGE049
Effective dielectric constant of
Figure 318244DEST_PATH_IMAGE050
And effective conductivity
Figure 42487DEST_PATH_IMAGE051
：
Figure 181344DEST_PATH_IMAGE053
；
Figure 561510DEST_PATH_IMAGE055
；
Figure 811225DEST_PATH_IMAGE057
；
Wherein the content of the first and second substances,
Figure 796499DEST_PATH_IMAGE058
in order to increase the magnetic permeability of the abrasive grain body,
Figure 575099DEST_PATH_IMAGE059
the magnetic conductivity of the oil liquid is adopted,
Figure 504878DEST_PATH_IMAGE060
is a measure of the dielectric constant of the abrasive particles,
Figure 558285DEST_PATH_IMAGE061
the dielectric constant of the oil liquid is taken as the standard,
Figure 866906DEST_PATH_IMAGE062
in order to be the conductivity of the abrasive particles,
Figure 347566DEST_PATH_IMAGE063
the conductivity of the oil is shown.
Preferably, the step S3 includes:
the magnetic flux density B and the current density were calculated based on the expressions (15), (16) and (17)
Figure 436745DEST_PATH_IMAGE064
And electric induction strength D:
Figure 293842DEST_PATH_IMAGE066
；
Figure 581604DEST_PATH_IMAGE068
；
Figure 233165DEST_PATH_IMAGE070
；
the electromagnetic field model is expressed by equations (18) to (21), and the equations (15) to (17) are substituted into equations (16) to (19), so that the following can be solved:
Figure 12903DEST_PATH_IMAGE072
；
Figure 207779DEST_PATH_IMAGE074
；
Figure 756572DEST_PATH_IMAGE076
；
Figure 438089DEST_PATH_IMAGE078
；
wherein the content of the first and second substances,
Figure 705123DEST_PATH_IMAGE079
as to the strength of the magnetic field,
Figure 638443DEST_PATH_IMAGE080
in order to be the current density,
Figure 41743DEST_PATH_IMAGE081
as the density of the magnetic flux, there is,
Figure 894161DEST_PATH_IMAGE082
is a magnetic vector position, and is characterized in that,
Figure 648491DEST_PATH_IMAGE083
for the strength of the electric field,
Figure 182240DEST_PATH_IMAGE084
in order to be the intensity of the electric charge,
Figure 705625DEST_PATH_IMAGE085
to be the speed of the electric charge,
Figure 604311DEST_PATH_IMAGE086
is the current density of the solenoid loop;
Figure 580358DEST_PATH_IMAGE088
；
wherein the content of the first and second substances,
Figure 980115DEST_PATH_IMAGE089
the number of the turns of the coil is,
Figure 623586DEST_PATH_IMAGE090
is the current in the loop or the current in the loop,
Figure 427594DEST_PATH_IMAGE091
is the strength of induction of a single turn solenoid,
Figure 156515DEST_PATH_IMAGE092
is the wire cross-sectional area.
Preferably, the step S3 further includes:
determining the relation between the voltage peak value signal and the particle size and material of the abrasive particles based on a formula (23) according to the electromagnetic field distribution;
Figure 32068DEST_PATH_IMAGE094
；
wherein the content of the first and second substances,
Figure 530045DEST_PATH_IMAGE095
is the peak signal of the voltage that is,
Figure 895167DEST_PATH_IMAGE096
is the radius of the oil pipeline,
Figure 961650DEST_PATH_IMAGE089
is the turn ratio of the induction coil to the exciting coil,
Figure 844156DEST_PATH_IMAGE097
is the input current of the exciting coil and,
Figure 931060DEST_PATH_IMAGE098
is the length of the excitation coil or coils,
Figure 873609DEST_PATH_IMAGE099
is the spacing of the excitation coil from the induction coil,
Figure 170598DEST_PATH_IMAGE100
the speed of the abrasive particles passing through the solenoid is the same as the speed of the oil liquid;
Figure 450269DEST_PATH_IMAGE038
is the radius of the abrasive particles.
Preferably, the step S4 includes:
the abrasive particle categories include a single large size metallic abrasive particle, a single large size non-metallic abrasive particle, a single small size non-metallic abrasive particle, a plurality of large size metallic abrasive particles, a plurality of large size non-metallic abrasive particles, a plurality of small size metallic abrasive particles, and a plurality of small size non-metallic abrasive particles.
In order to achieve the above object, the present invention provides a computer-aided technology-based oil abrasive particle statistical system, which comprises:
the laminar flow model module is used for constructing a laminar flow model of the oil liquid based on the Navistokes equation according to the dynamic viscosity of the oil liquid and the effective density of the oil liquid, and the laminar flow model is used for outputting a flow velocity field of the oil liquid according to the pressure difference of two ends of the oil liquid collected by the oil liquid detection device;
the level set model module is used for constructing a level set model according to the acquired size of the abrasive particles and the flow velocity field of the oil, outputting the acting force of the flow velocity field on the abrasive particles through the level set model, and calculating to obtain the motion track of the abrasive particles in the oil;
the electromagnetic field model module is used for obtaining the positions of the abrasive particles in the oil liquid at all times and the corresponding magnetic conductivity and electric conductivity according to the motion trail, constructing an electromagnetic field model of the oil liquid containing the abrasive particles, obtaining the electromagnetic signal amplitude and the electromagnetic phase corresponding to the abrasive particles with different attributes based on the electromagnetic field model, and classifying the abrasive particles into various abrasive particle categories according to the attributes, wherein the attributes comprise size, material and quantity;
and the statistical module is used for acquiring the electromagnetic signal amplitude and the electromagnetic phase of each abrasive particle passing through the oil in a preset acquisition period, dividing each abrasive particle into corresponding abrasive particle types and counting the quantity of the abrasive particles in each abrasive particle type.
Compared with the prior art, the oil abrasive particle statistical method and the oil abrasive particle statistical system based on the computer-aided technology have the beneficial effects that: the fluid mechanics model, the level set model and the electromagnetic field model are built through a computer-aided technology, and the size, the material and the number of the oil abrasive particles passing through the lubricating oil pipe can be accurately identified by combining electromagnetic field calculation, flow field calculation and multiphase flow calculation, so that the quantitative analysis of the oil abrasive particles is realized, the oil abrasive particles are classified and counted, and an analysis basis is provided for the analysis of the running state of subsequent equipment; in the construction process of the computer-aided model, the traditional solid model is not used for processing oil abrasive particles, but a level set algorithm is creatively used, the solid and liquid are distinguished in a volume fraction mode of different phases, the real-time grid updating during dynamic solid-liquid coupling calculation is avoided, and the calculation accuracy and efficiency of the computer-aided design model are improved.
Drawings
FIG. 1 is a schematic flow diagram of a computer-aided technique-based oil abrasive particle counting method according to an embodiment of the invention.
Fig. 2 is a schematic view of an oil detecting device according to an embodiment of the present invention.
FIG. 3 is a statistical representation of oil classification according to an embodiment of the present invention.
FIG. 4 is a system diagram of a computer-aided technology-based oil abrasive particle statistics system according to one embodiment of the invention.
Description of the drawings:
20-laser detector, 21-photodiode, 22-electromagnetic excitation signal spiral coil a, 23-electromagnetic excitation signal spiral coil B, 24-electromagnetic induction signal spiral coil C.
Detailed Description
The present invention will be described in detail with reference to the specific embodiments shown in the drawings, which are not intended to limit the present invention, and structural, methodological, or functional changes made by those skilled in the art according to the specific embodiments are included in the scope of the present invention.
In one embodiment of the present invention, as shown in fig. 1, the present invention provides a computer-aided technology-based statistical method for oil abrasive particles, the method comprising:
s1, constructing a laminar flow model of the oil liquid based on the Navistokes equation according to the dynamic viscosity and the effective density of the oil liquid, wherein the laminar flow model is used for outputting a flow velocity field of the oil liquid according to the pressure difference of two ends of the oil liquid collected by the oil liquid detection device;
s2, constructing a level set model according to the obtained sizes of the abrasive particles and the flow velocity field of the oil, outputting acting force of the flow velocity field on the abrasive particles through the level set model, and calculating to obtain the motion track of the abrasive particles in the oil;
s3, obtaining the positions of the abrasive particles in the oil liquid at all times and corresponding magnetic permeability and electric conductivity according to the motion trail, constructing an electromagnetic field model of the oil liquid containing the abrasive particles, obtaining electromagnetic signal amplitudes and electromagnetic phases corresponding to the abrasive particles with different attributes based on the electromagnetic field model, and classifying the abrasive particles into various abrasive particle categories according to the attributes, wherein the attributes comprise size, material and quantity;
and S4, acquiring the electromagnetic signal amplitude and the electromagnetic phase of each abrasive particle passing through the oil liquid in a preset acquisition period, dividing each abrasive particle into corresponding abrasive particle types, and counting the number of the abrasive particles in each abrasive particle type.
The detection of the oil abrasive particle impurities in the lubricating oil pipeline is carried out by an oil detection device, as shown in fig. 2, the detection device comprises a laser detector 20, a photodiode 21, an electromagnetic excitation signal spiral coil A22, an electromagnetic excitation signal spiral coil B23 and an electromagnetic induction signal spiral coil C24, the laser detector emits laser to irradiate the photodiode, when the oil has the abrasive particle impurities and the like passing through interference light beams, the signal intensity of the photodiode changes, and the size of the abrasive particles is related to the change of the signal intensity. The electromagnetic excitation signal spiral coil A generates an alternating magnetic field at a lubricating oil pipeline in the center of the spiral coil according to an input alternating current signal, the electromagnetic excitation signal spiral coil B generates a magnetic field which is always opposite to the direction of the magnetic field in the electromagnetic excitation signal spiral coil A according to the input alternating current signal, and when oil in the lubricating oil pipeline is normal, the signal of the electromagnetic excitation signal spiral coil A and the signal of the electromagnetic excitation signal spiral coil B are offset at the electromagnetic induction signal spiral coil C and are in a balanced state; when abrasive particles in oil in the lubricating oil pipeline pass through the center of the spiral pipe of the electromagnetic induction signal spiral coil C, balance is damaged, and an electric signal is generated. According to the invention, the oil detection device is used for collecting oil abrasive particles entering a lubricating oil pipeline, boundary conditions are provided through the collected oil abrasive particles, computer-aided models such as a fluid mechanics model, a level set model and an electromagnetic field model are constructed based on the boundary conditions, and quantitative analysis and classification statistics can be more accurately carried out on the oil abrasive particles through the computer-aided models.
The oil in the lubricating oil pipeline has higher viscosity and lower speed, so the Reynolds number of the oil is lower, and the oil flows in a laminar flow state, so that the oil can be modeled by a laminar flow model. According to the dynamic viscosity and the effective density of the oil fluid, a laminar flow model (laminar flow) of the oil is constructed based on a NavieStokes equation, and the laminar flow model is used for outputting a flow velocity field of the oil according to the pressure difference of two ends of the oil collected by the oil detection device. The pressure difference between the two ends of the oil is a design parameter of a lubricating oil transmission pipeline, and can be obtained by inquiring the design parameter of the system. The laminar flow model adopts the simplification of a fluid basic equation, namely a NaviStokes equation, and the flow velocity field of the oil liquid is obtained through calculation of the formulas (1), (2) and (3):
Figure 922839DEST_PATH_IMAGE004
；
Figure 567447DEST_PATH_IMAGE006
；
Figure 492678DEST_PATH_IMAGE008
；
wherein the content of the first and second substances,
Figure 185827DEST_PATH_IMAGE101
is the initial fluid density of the oil,
Figure 512903DEST_PATH_IMAGE103
is the initial dynamic viscosity of the oil liquid,
Figure 656309DEST_PATH_IMAGE104
is a flow velocity field of the oil liquid,
Figure 68836DEST_PATH_IMAGE105
in order to be a shear stress tensor,
Figure 300097DEST_PATH_IMAGE107
the pressure difference between the two ends of the oil liquid,
Figure 481679DEST_PATH_IMAGE108
the volume force, here the tension caused by the two-phase flow,
Figure 733669DEST_PATH_IMAGE110
in the form of the partial derivative, the derivative,
Figure 633492DEST_PATH_IMAGE112
in the form of a unit tensor,
Figure 793078DEST_PATH_IMAGE113
in (1)
Figure 829167DEST_PATH_IMAGE114
Is a transpose of the matrix and,
Figure DEST_PATH_IMAGE116
is time; setting an initial velocity field of a flow velocity field in initialization parameters of the laminar flow model
Figure DEST_PATH_IMAGE117
(ii) a Setting initial parameters of pressure difference
Figure DEST_PATH_IMAGE118
. The flow velocity field of the oil can be obtained based on a laminar flow model, and the velocity field is a physical field consisting of velocity vectors at each moment and each point. The flow velocity field is used to represent the velocity physical quantities at various locations in the flow field as a function of time and space coordinates. The effective density is used for representing density physical quantity of each position in the flow field, and the dynamic viscosity is used for representing the dynamic viscosity of each position in the flow field.
The computer aided model of the present invention includes two phases, one being liquid, i.e. oil liquid, and the other being solid, i.e. abrasive grains. At the interface between the two phases, the surface tension is set so that the equivalent surface tension of one of the phases, which is actually solid, is extremely high
Figure 989409DEST_PATH_IMAGE016
By the formula (4) Calculating to obtain;
Figure 376528DEST_PATH_IMAGE010
；
wherein the content of the first and second substances,
Figure 74225DEST_PATH_IMAGE022
is the normal vector of the interface of the abrasive particles and the oil,
Figure 230400DEST_PATH_IMAGE023
for a given maximum surface tension coefficient,
Figure 761876DEST_PATH_IMAGE024
a small distance above the boundary surface.
Solid particulate impurities flowing through a pipe are not considered to be true solids. Because the particles have small size and small mass, the flow in the flow field is generally consistent with the fluid velocity, so that the motion mode of the particles does not need to be specially solved, and the particles are regarded as one phase in two-phase flow and are solved in a level set mode. . The size of the abrasive particles is collected through the oil liquid detection device, the size of the abrasive particles is obtained through electric signals of a laser detector and a photodiode in the device, and therefore the size of the abrasive particles is collected. For example, when a larger particle abrasive passes through the laser detector, the light is shielded more strongly, and therefore the stronger the pulse signal generated in the photodiode. Abrasive particles of different sizes experience different resistances to flow in the oil and therefore react differently in the flow velocity field. Constructing the level set model based on control equations (5), (6) and (7) according to the flow velocity field of the oil fluid:
Figure 370711DEST_PATH_IMAGE026
；
Figure 137679DEST_PATH_IMAGE028
；
Figure 148360DEST_PATH_IMAGE030
；
wherein the content of the first and second substances,
Figure 913054DEST_PATH_IMAGE031
is the initial value of the level set parameter,
Figure 9186DEST_PATH_IMAGE032
the level set coefficient of the abrasive particles is a field function related to the positions and time of the abrasive particles in the oil flow velocity field, the level set coefficient of each position of the oil flow velocity field at each moment is represented, and if the level set coefficient is the level set coefficient of the abrasive particles, the level set coefficient is related to the positions and the time of the abrasive particles in the oil flow velocity field, the level set coefficient of each position of
Figure 924052DEST_PATH_IMAGE032
A value of 1 indicates that the phase occupying the position of the flow velocity field is solid, i.e. abrasive particles, if
Figure 54820DEST_PATH_IMAGE032
And 0 indicates that the phase occupying the position of the flow velocity field is fluid, namely oil. For example, if the level set coefficient at the current position at the current time is 1, it indicates that the current position at the current time is a solid phase, that is, the abrasive grains, and as the abrasive grains move in the oil, the abrasive grains at the position at the next time move away, so the level set coefficient at the current position at the next time becomes 0.
Figure 52731DEST_PATH_IMAGE013
Is a flow velocity field of the oil liquid,
Figure 636159DEST_PATH_IMAGE033
and
Figure 885875DEST_PATH_IMAGE034
model parameters of the level set model.
From the calculated level set coefficient field
Figure 339990DEST_PATH_IMAGE035
Traversing the solution area of the computer simulation model and obtaining continuous level set coefficient subdomains
Figure 649749DEST_PATH_IMAGE036
I.e. by
Figure 517211DEST_PATH_IMAGE032
A spatial set of 1, the volume of the region
Figure 570617DEST_PATH_IMAGE037
Also obtained from the computational grid during traversal, the effective particle size of the abrasive particles
Figure 269452DEST_PATH_IMAGE038
Expressed as:
Figure 750112DEST_PATH_IMAGE040
；
the force applied to the abrasive particles by the flow velocity field is:
Figure 511395DEST_PATH_IMAGE042
；
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE119
and calculating the motion track of the abrasive particles in the oil liquid according to Newton's second law under the influence of the resultant force of the applied force and the gravity, wherein the area of the micro surface element on the surface of the abrasive particles is the area of the abrasive particles.
According to the above, the density and dynamic viscosity parameters in the calculation model are discontinuous in space, and may be solid abrasive particles or liquid oil, so that effective value calculation is performed on the required effective density of the oil initial fluid and the oil initial dynamic viscosity. An initial fluid effective density and an initial motion of the oil based on the level set coefficients relating to the location and time of the abrasive particles in the flow velocity fieldThe effective value calculation is carried out on the mechanical viscosity, so that the effective fluid density of the oil liquid and the abrasive particles is the same
Figure 165230DEST_PATH_IMAGE044
And effective dynamic viscosity
Figure 859516DEST_PATH_IMAGE012
Respectively as follows:
Figure 107483DEST_PATH_IMAGE046
；
Figure 152799DEST_PATH_IMAGE048
；
wherein the content of the first and second substances,
Figure 548008DEST_PATH_IMAGE044
1the density of the oil is taken as the density of the oil,
Figure 831222DEST_PATH_IMAGE044
2in order to obtain the density of the abrasive particles,
Figure 919264DEST_PATH_IMAGE012
1the dynamic viscosity of the oil is shown as the viscosity,
Figure 779772DEST_PATH_IMAGE012
2is the kinetic viscosity of the abrasive particles; through the effective value operation, the parameters of the solid or the liquid can be represented at different positions in the flow velocity field according to the transformation of the level set coefficient, so that the parameters can be continuous in space.
Based on the effective fluid density of the oil and the abrasive particles
Figure 713093DEST_PATH_IMAGE044
And effective dynamic viscosity
Figure 178710DEST_PATH_IMAGE012
For the laminar flow model and the level set modelCarrying out a new round of calculation to obtain a new level set coefficient, and combining the new level set coefficient with the level set coefficient
Figure 437653DEST_PATH_IMAGE032
And comparing, if the error of the two is more than 0.001, repeating the steps to carry out the next round of iterative solution until the error is less than 0.001, and completing solution convergence. The initially solved level set model is non-linear, and the solved result is correct by solving with an iterative algorithm until the error converges to a small value.
When the lubricating oil pipeline normally runs and no abrasive particles appear in oil, the electromagnetic fields generated by the electromagnetic excitation signal spiral coil A and the electromagnetic excitation signal spiral coil B are always in the conditions of equal magnitude and opposite directions. The electromagnetic fields of the two parts realize stable state balance in the electromagnetic induction signal spiral coil C, so that the induction voltage signal of the electromagnetic induction signal spiral coil C approaches to 0. When the lubricating oil pipeline passes through the abrasive particles, the distribution of the electromagnetic field at the position can be changed, the electromagnetic field balance of the electromagnetic induction signal spiral coil C is damaged, and an induction signal is generated. When the oil contains abrasive particles, the magnetic permeability and the electric conductivity of the abrasive particles are different from those of the oil, so that the electromagnetic field distribution in the oil is changed, and the generated electric signal is also changed. Therefore, an electromagnetic field model is constructed by using the principle and is used for outputting electromagnetic field distribution and voltage information of oil containing abrasive particles with different attributes. The properties of the abrasive particles include size and texture. And obtaining the positions of the abrasive particles in the oil liquid at all times and the corresponding magnetic permeability and electric conductivity according to the motion track, constructing an electromagnetic field model according to the change of the distribution of the magnetic permeability and the electric conductivity, obtaining the electromagnetic signal amplitude and the electromagnetic phase corresponding to the abrasive particles with different attributes based on the electromagnetic field model, and classifying the abrasive particles into various abrasive particle categories according to the attributes, wherein the attributes comprise size, material and quantity. According to the level set coefficient
Figure 395244DEST_PATH_IMAGE032
Calculating to obtain the oil and the abrasive particlesEffective magnetic permeability of
Figure 397835DEST_PATH_IMAGE049
Effective dielectric constant of
Figure 780275DEST_PATH_IMAGE050
And effective conductivity
Figure 944540DEST_PATH_IMAGE051
：
Figure 982904DEST_PATH_IMAGE053
；
Figure 523606DEST_PATH_IMAGE055
；
Figure 901498DEST_PATH_IMAGE057
；
Wherein the content of the first and second substances,
Figure 971085DEST_PATH_IMAGE058
in order to increase the magnetic permeability of the abrasive grain body,
Figure 434428DEST_PATH_IMAGE059
the magnetic conductivity of the oil liquid is adopted,
Figure 637876DEST_PATH_IMAGE060
is a measure of the dielectric constant of the abrasive particles,
Figure 135853DEST_PATH_IMAGE061
the dielectric constant of the oil liquid is taken as the standard,
Figure 110762DEST_PATH_IMAGE062
in order to be the conductivity of the abrasive particles,
Figure 326980DEST_PATH_IMAGE063
the conductivity of the oil is shown.
Based on the formulas (15), (16) and (17)Calculating magnetic flux density B and current density
Figure 6223DEST_PATH_IMAGE064
And electric induction strength D:
Figure 358707DEST_PATH_IMAGE066
；
Figure 629151DEST_PATH_IMAGE068
；
Figure 67086DEST_PATH_IMAGE070
；
the electromagnetic field model is expressed by equations (18) - (21), and the electromagnetic field model can be obtained by substituting the equations (15) - (17) into equations (16) - (19);
Figure 487703DEST_PATH_IMAGE072
；
Figure 694694DEST_PATH_IMAGE074
；
Figure 808143DEST_PATH_IMAGE076
；
Figure 533041DEST_PATH_IMAGE078
；
wherein the content of the first and second substances,
Figure 757349DEST_PATH_IMAGE079
as to the strength of the magnetic field,
Figure 677900DEST_PATH_IMAGE080
in order to be the current density,
Figure 962251DEST_PATH_IMAGE081
as the density of the magnetic flux, there is,
Figure 843620DEST_PATH_IMAGE082
is a magnetic vector position, and is characterized in that,
Figure 871619DEST_PATH_IMAGE083
for the strength of the electric field,
Figure 646676DEST_PATH_IMAGE084
in order to be the intensity of the electric charge,
Figure 101929DEST_PATH_IMAGE085
to be the speed of the electric charge,
Figure 798489DEST_PATH_IMAGE086
is the current density of the solenoid loop;
Figure 364600DEST_PATH_IMAGE088
；
wherein the content of the first and second substances,
Figure 869530DEST_PATH_IMAGE089
the number of the turns of the coil is,
Figure 495684DEST_PATH_IMAGE090
is the current in the loop or the current in the loop,
Figure 617224DEST_PATH_IMAGE091
is the strength of induction of a single turn solenoid,
Figure 846080DEST_PATH_IMAGE092
is the wire cross-sectional area. The distribution of the electric field and the magnetic field can be realized according to the electromagnetic field model, so that the electromagnetic field distribution of the oil containing the abrasive particles with different attributes can be obtained, the electromagnetic signal amplitude and the electromagnetic phase of the abrasive particles can be obtained based on the electromagnetic field distribution information, and the electromagnetic signal amplitude and the electromagnetic phase corresponding to the abrasive particles with different attributes are different. Specifically, from the electromagnetic field distribution, a voltage peak signal is determined based on equation (23)The relationship between the mark and the size and the material of the abrasive grain, the size and the material of the abrasive grain are judged according to the relationship between the mark and the size and the material of the abrasive grain,
Figure 2254DEST_PATH_IMAGE094
；
wherein the content of the first and second substances,
Figure 268151DEST_PATH_IMAGE095
is the peak signal of the voltage that is,
Figure 876987DEST_PATH_IMAGE096
is the radius of the oil pipeline,
Figure 581637DEST_PATH_IMAGE089
is the turn ratio of the induction coil to the exciting coil,
Figure DEST_PATH_IMAGE120
is the input current of the exciting coil and,
Figure 451373DEST_PATH_IMAGE098
is the length of the excitation coil or coils,
Figure 419329DEST_PATH_IMAGE099
is the spacing of the excitation coil from the induction coil,
Figure 984303DEST_PATH_IMAGE100
the velocity of the abrasive particles through the solenoid is the same as the velocity of the oil.
Figure 695907DEST_PATH_IMAGE038
Is the radius of the abrasive particles.
Figure 623412DEST_PATH_IMAGE095
And is determined by the size (radius) and material (i.e., permeability) of the abrasive particles. The voltage signals are different for different sized abrasive particles. The abrasive particles are made of different materials, electromagnetic signals of the abrasive particles are different, the magnetic permeability of the abrasive particles can be obtained based on electromagnetic field distribution information, and judgment can be made according to the magnetic permeabilityThe broken abrasive particles are ferromagnetic particles or magnetically inert particles. The attributes comprise the size, the material and the number of the abrasive particles, the abrasive particles are divided into various abrasive particle types according to the attributes, and the electromagnetic signal amplitude and the electromagnetic phase of the abrasive particles of different types are different. Specifically, the abrasive particle categories include a single large size metallic abrasive particle, a single large size non-metallic abrasive particle, a single small size non-metallic abrasive particle, a plurality of large size metallic abrasive particles, a plurality of large size non-metallic abrasive particles, a plurality of small size metallic abrasive particles, and a plurality of small size non-metallic abrasive particles.
Acquiring the electromagnetic signal amplitude and the electromagnetic phase of each abrasive particle passing through the oil in a preset acquisition period, dividing each abrasive particle into corresponding abrasive particle types, and counting the number of the abrasive particles in each abrasive particle type. Through the laser detector who gathers among the fluid detection device and photodiode's signal of telecommunication, can know whether have the grit to pass through in the fluid, when having the grit to pass through in the fluid, count the grit that passes through. In a preset acquisition period, acquiring the electromagnetic signal amplitude and the electromagnetic phase of each or a plurality of abrasive grains of the oil through an oil detection device, comparing the electromagnetic signal amplitude and the electromagnetic phase with the electromagnetic signal amplitude and the electromagnetic phase in each abrasive grain type according to the electromagnetic signal amplitude and the electromagnetic phase, dividing the abrasive grains into the corresponding abrasive grain types if the comparison result is within a preset threshold range, and counting the abrasive grain quantity of each abrasive grain type. As shown in fig. 3, a particular embodiment of one abrasive particle class of the present invention is illustrated. For example, the abrasive particles with strong electromagnetic signal amplitude are classified into a single large-size metal abrasive particle category, a single small-size metal abrasive particle category, a plurality of large-size metal abrasive particle types and a plurality of small-size metal abrasive particle categories. In the prior art, a technical means for detecting oil abrasive particles through hardware is adopted, the difference between large particles and a plurality of small particles made of different materials is distinguished, and the difference between large magnetic inertia particles and small magnetic inertia particles is also not distinguished.
In one embodiment of the present invention, as shown in fig. 4, the present invention provides a computer-aided technology-based oil abrasive particle statistical system, comprising:
the laminar flow model module 40 is used for constructing a laminar flow model of the oil liquid based on the Navistokes equation according to the dynamic viscosity of the oil liquid and the effective density of the oil liquid, and the laminar flow model is used for outputting a flow velocity field of the oil liquid according to the pressure difference of two ends of the oil liquid collected by the oil liquid detection device;
the level set model module 41 is configured to construct a level set model according to the acquired size of the abrasive particles and the flow velocity field of the oil, output an acting force of the flow velocity field on the abrasive particles through the level set model, and calculate a motion trajectory of the abrasive particles in the oil;
the electromagnetic field model module 42 is used for obtaining the positions of the abrasive particles in the oil liquid at all times and the corresponding magnetic permeability and electric conductivity according to the motion track, constructing an electromagnetic field model of the oil liquid containing the abrasive particles, obtaining the electromagnetic signal amplitudes and electromagnetic phases corresponding to the abrasive particles with different attributes based on the electromagnetic field model, and classifying the abrasive particles into various abrasive particle categories according to the attributes, wherein the attributes comprise sizes, materials and numbers;
the statistical module 43 obtains the electromagnetic signal amplitude and the electromagnetic phase of each abrasive particle passing through the oil liquid in a preset acquisition period, divides each abrasive particle into corresponding abrasive particle types, and counts the number of the abrasive particles in each abrasive particle type.
The laminar flow model module constructs a laminar flow model of the oil liquid based on a Navistokes equation according to the dynamic viscosity and the effective density of the oil liquid fluid, the laminar flow model is input to the laminar flow model according to the pressure difference of two ends of the oil liquid collected by the oil liquid detection device, and the model outputs the flow velocity field of the oil liquid. The level set model module constructs a level set model according to the flow velocity field of the oil, a plurality of collected abrasive particles with different sizes are input into the model, the acting force of the flow velocity field on the abrasive particles is output, and the motion trail of the abrasive particles in the oil at each moment is output by using a level set coefficient. The size of the abrasive particles is collected through the oil liquid detection device, and the size of the abrasive particles is obtained through electric signals of a laser detector and a photodiode in the device. The electromagnetic field model module is used for obtaining the positions of the abrasive particles in the oil liquid at all times and the corresponding magnetic permeability and electric conductivity according to the motion trail, constructing an electromagnetic field model of the oil liquid containing the abrasive particles, outputting electromagnetic field distribution and voltage information of the oil liquid containing the abrasive particles with different attributes, obtaining electromagnetic signal amplitudes and electromagnetic phases corresponding to the abrasive particles with different attributes based on the electromagnetic field model, and classifying the abrasive particles into various abrasive particle types according to the attributes, wherein the attributes comprise sizes, materials and numbers. In a preset acquisition period, the statistical module acquires the electromagnetic signal amplitude and the electromagnetic phase of each abrasive particle passing through the oil, compares the electromagnetic signal amplitude and the electromagnetic phase with the electromagnetic signal amplitude and the electromagnetic phase in each abrasive particle type according to the electromagnetic signal amplitude and the electromagnetic phase, and if the comparison result is within a preset threshold range, marks the abrasive particles into the corresponding abrasive particle type and counts the abrasive particle quantity of each abrasive particle type.
Although the preferred embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims.

Claims (10)

1. A computer-aided technology-based oil abrasive particle statistical method is characterized by comprising the following steps:
s1, constructing a laminar flow model of the oil liquid based on the Navistokes equation according to the dynamic viscosity and the effective density of the oil liquid, wherein the laminar flow model is used for outputting a flow velocity field of the oil liquid according to the pressure difference of two ends of the oil liquid collected by the oil liquid detection device;
s2, constructing a level set model according to the obtained sizes of the abrasive particles and the flow velocity field of the oil, outputting acting force of the flow velocity field on the abrasive particles through the level set model, and calculating to obtain the motion track of the abrasive particles in the oil;
s3, obtaining the positions of the abrasive particles in the oil liquid at all times and corresponding magnetic permeability and electric conductivity according to the motion trail, constructing an electromagnetic field model of the oil liquid containing the abrasive particles, obtaining electromagnetic signal amplitudes and electromagnetic phases corresponding to the abrasive particles with different attributes based on the electromagnetic field model, and classifying the abrasive particles into various abrasive particle categories according to the attributes, wherein the attributes comprise size, material and quantity;
and S4, acquiring the electromagnetic signal amplitude and the electromagnetic phase of each abrasive particle passing through the oil liquid in a preset acquisition period, dividing each abrasive particle into corresponding abrasive particle types, and counting the number of the abrasive particles in each abrasive particle type.
2. The computer-assisted technology based statistical method for oil abrasive particles according to claim 1, wherein the step S1 comprises:
setting an initial velocity field of a flow velocity field in initialization parameters of the laminar flow model
Figure 573495DEST_PATH_IMAGE001
Setting initial parameters of pressure difference
Figure 277009DEST_PATH_IMAGE002
And calculating the flow velocity field of the oil liquid by the formulas (1), (2), (3) and (4):
Figure 697626DEST_PATH_IMAGE004
；
Figure 701354DEST_PATH_IMAGE006
；
Figure 611541DEST_PATH_IMAGE008
；
Figure 536772DEST_PATH_IMAGE010
；
wherein the content of the first and second substances,
Figure 557817DEST_PATH_IMAGE012
is the initial fluid density of the oil,
Figure 619314DEST_PATH_IMAGE014
is the initial dynamic viscosity of the oil liquid,
Figure 700403DEST_PATH_IMAGE015
is a flow velocity field of the oil liquid,
Figure 112930DEST_PATH_IMAGE016
in order to be a shear stress tensor,
Figure 937666DEST_PATH_IMAGE018
the pressure difference between the two ends of the oil liquid,
Figure 119249DEST_PATH_IMAGE019
in order to be a volume force,
Figure 105659DEST_PATH_IMAGE021
in the form of the partial derivative, the derivative,
Figure 5482DEST_PATH_IMAGE023
in the form of a unit tensor,
Figure 102751DEST_PATH_IMAGE024
in (1)
Figure 404420DEST_PATH_IMAGE025
Is a transpose of the matrix and,
Figure 561731DEST_PATH_IMAGE027
as a matter of time, the time is,
Figure 948850DEST_PATH_IMAGE028
for intersecting abrasive particles with oilThe normal vector at the interface is the vector,
Figure 118319DEST_PATH_IMAGE030
for a given maximum surface tension coefficient,
Figure 540073DEST_PATH_IMAGE031
a small distance above the boundary surface.
3. The computer-assisted technology based statistical method for oil abrasive particles according to claim 2, wherein the step S2 comprises:
constructing the level set model based on control equations (5), (6) and (7) according to the flow velocity field of the oil fluid:
Figure 337128DEST_PATH_IMAGE033
；
Figure 742702DEST_PATH_IMAGE035
；
Figure 916194DEST_PATH_IMAGE037
；
wherein the content of the first and second substances,
Figure 458034DEST_PATH_IMAGE038
is the initial value of the level set parameter,
Figure 425990DEST_PATH_IMAGE039
is the level set coefficient of the abrasive grain, if
Figure 318859DEST_PATH_IMAGE039
A value of 1 indicates that the phase occupying the position of the flow velocity field is an abrasive particle, and if it is 1, it indicates that the phase occupies the position of the flow velocity field
Figure 30463DEST_PATH_IMAGE039
0, indicating that the phase occupying the position of the flow velocity field is oil,
Figure 426810DEST_PATH_IMAGE015
is a flow velocity field of the oil liquid,
Figure 362405DEST_PATH_IMAGE041
and
Figure 945833DEST_PATH_IMAGE042
model parameters of the level set model.
4. The computer-assisted technology based statistical method for oil abrasive particles according to claim 3, wherein the step S2 further comprises:
from the calculated level set coefficient field
Figure 726707DEST_PATH_IMAGE043
Traversing the solution area of the computer simulation model and obtaining continuous level set coefficient subdomains
Figure 711981DEST_PATH_IMAGE044
I.e. by
Figure 818477DEST_PATH_IMAGE039
A spatial set of 1, the volume of the region
Figure 889201DEST_PATH_IMAGE045
The effective grain diameter of the abrasive grains is obtained according to the calculation grid in the traversing process
Figure 739345DEST_PATH_IMAGE046
Expressed as:
Figure 579125DEST_PATH_IMAGE048
；
the flow velocity field applies forces to the abrasive particles:
Figure 590944DEST_PATH_IMAGE050
；
wherein the content of the first and second substances,
Figure 680122DEST_PATH_IMAGE051
the area of the micro surface element on the surface of the abrasive particle is shown;
and calculating the motion track of the abrasive particles in the oil by Newton's second law under the influence of the resultant force of the applied force and the gravity.
5. The computer-assisted technology-based oil abrasive particle statistical method according to claim 4, further comprising:
and performing effective value calculation on the effective density of the initial fluid of the oil and the initial dynamic viscosity of the oil based on the relation between the level set coefficient and the position and time of the abrasive particles in the flow velocity field, so that the effective fluid density of the oil and the abrasive particles is the same
Figure 537220DEST_PATH_IMAGE012
And effective dynamic viscosity
Figure 753876DEST_PATH_IMAGE014
Respectively as follows:
Figure 405437DEST_PATH_IMAGE053
；
Figure 247491DEST_PATH_IMAGE055
；
wherein the content of the first and second substances,
Figure 642700DEST_PATH_IMAGE012
1the density of the oil is taken as the density of the oil,
Figure 722652DEST_PATH_IMAGE012
2in order to obtain the density of the abrasive particles,
Figure 810694DEST_PATH_IMAGE014
1the dynamic viscosity of the oil is shown as the viscosity,
Figure 874465DEST_PATH_IMAGE014
2is the kinetic viscosity of the abrasive particles;
based on the effective fluid density of the oil and the abrasive particles
Figure 73365DEST_PATH_IMAGE012
And effective dynamic viscosity
Figure 7823DEST_PATH_IMAGE014
Performing a new round of calculation on the laminar flow model and the level set model to obtain a new level set coefficient, and comparing the new level set coefficient with the level set coefficient
Figure 266766DEST_PATH_IMAGE039
And comparing, if the error of the two is more than 0.001, repeating the steps to carry out the next round of iterative solution until the error is less than 0.001, and completing solution convergence.
6. The computer-assisted technology based statistical method for oil abrasive particles according to claim 5, wherein the step S3 comprises:
according to the level set coefficient
Figure 817833DEST_PATH_IMAGE039
Calculating to obtain the effective magnetic permeability of the oil liquid and the abrasive particles
Figure 554845DEST_PATH_IMAGE056
Effective dielectric constant of
Figure 874968DEST_PATH_IMAGE057
And effective conductivity
Figure 304812DEST_PATH_IMAGE058
：
Figure 812017DEST_PATH_IMAGE060
；
Figure 149457DEST_PATH_IMAGE062
；
Figure 792928DEST_PATH_IMAGE064
；
Wherein the content of the first and second substances,
Figure 659253DEST_PATH_IMAGE065
in order to increase the magnetic permeability of the abrasive grain body,
Figure 388174DEST_PATH_IMAGE066
the magnetic conductivity of the oil liquid is adopted,
Figure 263726DEST_PATH_IMAGE067
is a measure of the dielectric constant of the abrasive particles,
Figure 761704DEST_PATH_IMAGE068
the dielectric constant of the oil liquid is taken as the standard,
Figure 798930DEST_PATH_IMAGE069
in order to be the conductivity of the abrasive particles,
Figure 15148DEST_PATH_IMAGE070
the conductivity of the oil is shown.
7. The computer-assisted technology based statistical method for oil abrasive particles according to claim 6, wherein the step S3 comprises:
the magnetic flux density B and the current density were calculated based on the expressions (15), (16) and (17)
Figure 694391DEST_PATH_IMAGE071
And electric induction strength D:
Figure 46875DEST_PATH_IMAGE073
；
Figure 789090DEST_PATH_IMAGE075
；
Figure 227025DEST_PATH_IMAGE077
；
the electromagnetic field model is expressed by equations (18) to (21), and the equations (15) to (17) are substituted into equations (16) to (19), so that the following can be solved:
Figure 178800DEST_PATH_IMAGE079
；
Figure 448108DEST_PATH_IMAGE081
；
Figure DEST_PATH_IMAGE083
；
Figure DEST_PATH_IMAGE085
；
wherein the content of the first and second substances,
Figure 827136DEST_PATH_IMAGE086
as to the strength of the magnetic field,
Figure DEST_PATH_IMAGE088
in order to be the current density,
Figure 549105DEST_PATH_IMAGE089
as the density of the magnetic flux, there is,
Figure 304571DEST_PATH_IMAGE090
is a magnetic vector position, and is characterized in that,
Figure 631647DEST_PATH_IMAGE091
for the strength of the electric field,
Figure DEST_PATH_IMAGE093
in order to be the intensity of the electric charge,
Figure DEST_PATH_IMAGE095
to be the speed of the electric charge,
Figure 243894DEST_PATH_IMAGE096
is the current density of the solenoid loop;
Figure 453159DEST_PATH_IMAGE098
；
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE099
the number of the turns of the coil is,
Figure 12316DEST_PATH_IMAGE100
is the current in the loop or the current in the loop,
Figure 193899DEST_PATH_IMAGE101
is the strength of induction of a single turn solenoid,
Figure DEST_PATH_IMAGE103
is a wire crossCross-sectional area.
8. The computer-assisted technology based statistical method for oil abrasive particles according to claim 7, wherein the step S3 comprises:
determining the relation between the voltage peak value signal and the particle size and material of the abrasive particles based on a formula (23) according to the electromagnetic field distribution;
Figure 977047DEST_PATH_IMAGE105
；
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE106
is the peak signal of the voltage that is,
Figure DEST_PATH_IMAGE107
is the radius of the oil pipeline,
Figure 410958DEST_PATH_IMAGE099
is the turn ratio of the induction coil to the exciting coil,
Figure DEST_PATH_IMAGE108
is the input current of the exciting coil and,
Figure DEST_PATH_IMAGE109
is the length of the excitation coil or coils,
Figure DEST_PATH_IMAGE110
is the spacing of the excitation coil from the induction coil,
Figure DEST_PATH_IMAGE112
the speed of the abrasive particles passing through the solenoid is the same as the speed of the oil,
Figure DEST_PATH_IMAGE113
is the radius of the abrasive particles.
9. The computer-assisted technology based statistical method for oil abrasive particles according to claim 8, wherein the step S4 comprises:
the abrasive particle categories include a single large size metallic abrasive particle, a single large size non-metallic abrasive particle, a single small size non-metallic abrasive particle, a plurality of large size metallic abrasive particles, a plurality of large size non-metallic abrasive particles, a plurality of small size metallic abrasive particles, and a plurality of small size non-metallic abrasive particles.
10. A computer-assisted technology based statistical system for oil abrasive particles, the system comprising:
the laminar flow model module is used for constructing a laminar flow model of the oil liquid based on the Navistokes equation according to the dynamic viscosity of the oil liquid and the effective density of the oil liquid, and the laminar flow model is used for outputting a flow velocity field of the oil liquid according to the pressure difference of two ends of the oil liquid collected by the oil liquid detection device;
the level set model module is used for constructing a level set model according to the acquired size of the abrasive particles and the flow velocity field of the oil, outputting the acting force of the flow velocity field on the abrasive particles through the level set model, and calculating to obtain the motion track of the abrasive particles in the oil;
the electromagnetic field model module is used for obtaining the positions of the abrasive particles in the oil liquid at all times and the corresponding magnetic conductivity and electric conductivity according to the motion trail, constructing an electromagnetic field model of the oil liquid containing the abrasive particles, obtaining the electromagnetic signal amplitude and the electromagnetic phase corresponding to the abrasive particles with different attributes based on the electromagnetic field model, and classifying the abrasive particles into various abrasive particle categories according to the attributes, wherein the attributes comprise size, material and quantity;
and the statistical module is used for acquiring the electromagnetic signal amplitude and the electromagnetic phase of each abrasive particle passing through the oil in a preset acquisition period, dividing each abrasive particle into corresponding abrasive particle types and counting the quantity of the abrasive particles in each abrasive particle type.
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