CN117091830B - Batch detection method and detection system for quality of rubber sealing rings - Google Patents
Batch detection method and detection system for quality of rubber sealing rings Download PDFInfo
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- 238000007789 sealing Methods 0.000 title claims abstract description 331
- 238000001514 detection method Methods 0.000 title abstract description 24
- 238000012360 testing method Methods 0.000 claims abstract description 79
- 238000000034 method Methods 0.000 claims abstract description 71
- 238000001125 extrusion Methods 0.000 claims abstract description 65
- 230000007547 defect Effects 0.000 claims abstract description 58
- 230000008595 infiltration Effects 0.000 claims abstract description 42
- 238000001764 infiltration Methods 0.000 claims abstract description 42
- 230000008569 process Effects 0.000 claims abstract description 38
- 238000000105 evaporative light scattering detection Methods 0.000 claims abstract description 20
- 238000002791 soaking Methods 0.000 claims abstract description 4
- 238000004364 calculation method Methods 0.000 claims description 24
- 238000011084 recovery Methods 0.000 claims description 20
- 239000007788 liquid Substances 0.000 claims description 18
- 238000006073 displacement reaction Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 12
- 230000011218 segmentation Effects 0.000 claims description 12
- 230000015654 memory Effects 0.000 claims description 11
- 238000013135 deep learning Methods 0.000 claims description 10
- 238000010438 heat treatment Methods 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 9
- 238000004140 cleaning Methods 0.000 claims description 8
- 230000006835 compression Effects 0.000 claims description 8
- 238000007906 compression Methods 0.000 claims description 8
- 230000002950 deficient Effects 0.000 claims description 4
- 238000003708 edge detection Methods 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 4
- 239000012535 impurity Substances 0.000 claims description 4
- 239000004065 semiconductor Substances 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 2
- 238000004088 simulation Methods 0.000 abstract description 2
- 239000003921 oil Substances 0.000 description 58
- 239000010705 motor oil Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 239000010687 lubricating oil Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000013441 quality evaluation Methods 0.000 description 2
- 238000010521 absorption reaction Methods 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 239000000110 cooling liquid Substances 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/005—Sealing rings
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/22—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material
- G01N23/225—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material using electron or ion
- G01N23/2251—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by measuring secondary emission from the material using electron or ion using incident electron beams, e.g. scanning electron microscopy [SEM]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
- G01N3/10—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces generated by pneumatic or hydraulic pressure
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
- G01N3/10—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces generated by pneumatic or hydraulic pressure
- G01N3/12—Pressure testing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0014—Type of force applied
- G01N2203/0016—Tensile or compressive
- G01N2203/0017—Tensile
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0014—Type of force applied
- G01N2203/0016—Tensile or compressive
- G01N2203/0019—Compressive
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/003—Generation of the force
- G01N2203/0042—Pneumatic or hydraulic means
- G01N2203/0048—Hydraulic means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0058—Kind of property studied
- G01N2203/0069—Fatigue, creep, strain-stress relations or elastic constants
- G01N2203/0075—Strain-stress relations or elastic constants
Abstract
The invention relates to the technical field of quality detection, in particular to a mass detection method and a mass detection system for rubber sealing rings, wherein the mass detection method comprises the following steps: soaking the sealing rubber ring to be tested in vehicle oil, and performing an oil infiltration test of the sealing rubber ring to be tested; carrying out elasticity test on the sealing rubber ring to be tested which is subjected to oil infiltration test, and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be tested; obtaining a surface characteristic image of a sealing rubber ring to be detected; identifying a defect area of the sealing rubber ring to be detected, and calculating the area of the defect area of the sealing rubber ring to be detected; and dividing the quality grade of the sealing rubber ring to be detected by calculating the quality coefficient of the sealing rubber ring to be detected. The invention solves the problems of local and one-sided quality detection result of the sealing rubber ring and low accuracy of quality pre-judgment of the sealing rubber ring caused by lack of simulation of the actual oil-immersed working environment of the sealing rubber ring in the batch detection process of the sealing rubber ring defects in the prior art.
Description
Technical Field
The invention relates to the technical field of quality detection, in particular to a mass detection method and a mass detection system for rubber sealing rings.
Background
With the annual increase of domestic automobile output, people put higher demands on the stable working performance of automobiles. The sealing rubber ring for the automobile plays various roles of sealing, shock absorption and buffering, elastic bearing, comfort protection and the like in the automobile, and is an important component part of the automobile. In this situation, quality detection of the sealing rubber ring for automobiles is very important.
In the prior art, for example, patent with application publication number CN110411739a discloses an oil resistance verification device and method for a rubber seal ring, comprising the following steps: the open end of the oil tank is upwards, the oil liquid to be detected is filled in the inner cavity of the oil tank, the rubber ring to be detected is placed on the surface of the open end of the oil tank, and the center of the rubber ring to be detected is overlapped with the center of the small hole of the oil tank; the detection clamping plate is arranged on the upper part of the rubber ring to be detected through three screws and is tightly carried by nuts; measuring and detecting the distance between the clamping plate and the wall of the oil tank by using a vernier caliper, adjusting the tightness degree of the nut, and controlling the compression amount of the rubber ring to be detected; setting a test temperature through the spiral tube; the observation pressure gauge sets a test pressure through the booster pump; covering the transparent cover outside the testing device, and starting to detect; the sealing performance of the rubber ring is characterized by reading the oil collected in the measuring cylinder at a specified time.
The problem that the compression amount of the rubber ring can not be accurately controlled by adjusting the tightness degree of the nut and the temperature can not be accurately tested by the spiral tube setting exists in the above patent. Meanwhile, when the booster pump is used for setting the test pressure, the pressure gauge is only used for judging whether the pressure reaches the set value, so that the error is large, the subjectivity is strong, and the problem that the characterization of the sealing performance of the rubber ring is incomplete and not objective exists.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The invention aims to solve the technical problems that the quality detection result of a sealing rubber ring is local and one-sided due to the lack of simulation of the actual oil-immersed working environment of the sealing rubber ring in the batch detection process of the sealing rubber ring defects, and the quality pre-judging accuracy of the sealing rubber ring is low.
In order to achieve the purpose, the technical scheme of the mass batch detection method for the rubber sealing ring comprises the following steps:
s1: soaking the sealing rubber ring to be tested in vehicle oil, and performing an oil infiltration test of the sealing rubber ring to be tested;
s2: carrying out elasticity test on the sealing rubber ring to be tested which is subjected to oil infiltration test, and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be tested;
s3: carrying out surface characteristic scanning on the sealing rubber ring to be tested after the elastic test is completed through a scanning electron microscope, obtaining a surface characteristic image of the sealing rubber ring to be tested, and carrying out image processing on the surface characteristic image;
s4: according to S3, identifying a defect area of the sealing rubber ring to be detected, and calculating the area of the defect area of the sealing rubber ring to be detected;
s5: and (5) carrying out quality grade division on the sealing rubber ring to be detected by calculating the quality coefficient of the sealing rubber ring to be detected.
Specifically, the oil infiltration test in S1 includes the following specific steps:
s101: cleaning greasy dirt and impurities on the surface of the sealing rubber ring to be tested, and enabling the surface of the sealing rubber ring to be tested to be completely immersed in automobile oil;
s102: heating the automobile oil to enable the temperature of the automobile oil to rise to 120 ℃ at a heating rate of 5 ℃/min, wherein the unit time for completing one-time oil infiltration test of the sealing rubber ring to be tested is 24 hours;
s103: and taking out the sealing rubber ring to be tested, which is subjected to one-time oil infiltration test of the sealing rubber ring to be tested, and cleaning oil stains on the surface of the sealing rubber ring to be tested.
Specifically, the elasticity test in S2 includes the following specific steps;
s201: setting mechanical parameters of the hydraulic device, wherein the extrusion pressure is set asThe telescopic tension is set as；
S202: inner diameter of sealing rubber ring after oil liquid infiltration test is measuredOuter diameter->Thickness->；
S203: simultaneously and vertically applying two extrusion pressures to the sealing rubber ring to be detected through hydraulic equipment from the upper direction and the lower direction respectively, stopping applying the extrusion pressure to the sealing rubber ring to be detected after 20S, repeating the extrusion pressure applying process of the sealing rubber ring to be detected for 3 times, and recording the vertical deformation displacement of the sealing rubber ring to be detected after restoration through piezoresistive sensor equipmentWherein the recovery time of the sealing rubber ring to be tested is +.>；
S204: two stretching pulling forces are applied to the sealing rubber ring to be tested horizontally from left and right directions through hydraulic equipment respectively, the stretching pulling force is stopped being applied to the sealing rubber ring to be tested after 20S, the stretching pulling force applying process of the sealing rubber ring to be tested is repeated for 3 times, and the horizontal deformation displacement of the sealing rubber ring to be tested after restoration is recorded through piezoresistive sensor equipmentWherein the recovery time of the sealing rubber ring to be tested is +.>；
S205: and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be measured.
Specifically, the calculation strategy of the extrusion parameters of the sealing rubber ring to be measured is as follows:
；
wherein,
the method comprises the steps of carrying out a first treatment on the surface of the i is the repetition number of the extrusion pressure applying process of the sealing rubber ring to be tested;
is the circumference ratio; k is the compression amplifying coefficient of the piezoresistive sensor;
conductivity of the semiconductor in the piezoresistive sensor;
the strain of the sealing rubber ring to be measured in the ith extrusion pressure applying process is obtained;
the extrusion parameters of the sealing rubber ring to be tested in the ith extrusion pressure applying process are obtained;
when extrusion pressure is applied to the sealing rubber ring to be tested for the ith time, the sealing rubber ring to be tested is subjected to vertical deformation displacement after restoration;
and when extrusion pressure is applied to the sealing rubber ring to be tested for the ith time, the recovery time of the sealing rubber ring to be tested.
Specifically, the calculation and measurement of the stretching parameters of the sealing rubber ring to be measured are as follows:
；
wherein,the strain of the sealing rubber ring to be tested in the ith stretching tension applying process is obtained;
the stretching parameters of the sealing rubber ring to be tested in the ith stretching tension applying process are obtained;
when the stretching tension is applied to the sealing rubber ring to be tested for the ith time, the horizontal deformation displacement of the sealing rubber ring to be tested after restoration is realized;
when the stretching tension is applied to the sealing rubber ring to be tested for the ith time, the recovery time of the sealing rubber ring to be tested.
Specifically, S3 includes the following specific steps:
s301: carrying out surface feature scanning on the outer surface of the sealing rubber ring to be tested after the elastic test is finished by a scanning electron microscope from left to right to obtain a surface feature image of the sealing rubber ring to be tested;
s302: performing edge detection and mean filtering denoising pretreatment on the surface characteristic image obtained in the step S301;
s303: graying the preprocessed surface feature image, carrying out gray threshold segmentation treatment on the defect areas, and separating an image background from the defect areas, wherein each defect area comprises a central line area U and an edge area V;
s304: and (3) constructing a deep learning network, carrying out region identification and marking of a defect region on the surface characteristic image subjected to graying in the step (S303), and extracting characteristic information of the defect region.
Specifically, the constraint equation of the gray threshold segmentation process is as follows:
；
the method comprises the steps of establishing a coordinate system by taking a pixel point at the lower left corner of each surface characteristic image as a coordinate origin;
x is a horizontal axis coordinate, and y is a vertical axis coordinate;
is coordinate point +.>Pixel values of the pixel points of (a);
the gray average value of the surface characteristic image;
is coordinate point +.>The information value of the pixel point after the gray threshold segmentation processing.
Specifically, the calculating of the mass coefficient of the sealing rubber ring to be measured comprises the following steps:
standard mass coefficientThe calculation formula of (2) is as follows:
；
wherein,
is a defect weight factor; />Is an extrusion weight factor; />Is a tensile weight factor;
m is the total number of the defect areas identified by the deep learning network;
is the area of the edge region V in the mth defective region;
is the area of the central line area U in the mth defect area;
relative mass coefficientThe calculation formula of (2) is as follows: />Wherein n is the total number of sealing rubber rings to be tested;
the calculation formula of the mass coefficient of the sealing rubber ring to be measured is as follows:
；
wherein,
the weight is the standard quality coefficient; />Is the weight of the relative mass coefficient; />。
Specifically, the quality grade classification of the sealing rubber ring to be detected comprises:
when (when)Judging the quality grade of the sealing rubber ring to be tested as first-grade quality;
when (when)Judging the quality grade of the sealing rubber ring to be detected as a secondary quality;
when (when)Judging the quality grade of the sealing rubber ring to be tested as three-level quality;
when (when)Judging the quality grade of the sealing rubber ring to be tested as four-grade quality;
when (when)Judging the quality grade of the sealing rubber ring to be detected as five-grade quality;
in addition, the mass batch detection system for the rubber sealing rings comprises the following modules: the device comprises an oil infiltration testing module, an elasticity testing module, a characteristic image scanning module, a defect parameter calculating module and a quality grade dividing module;
specifically, the oil liquid infiltration testing module is used for immersing the sealing rubber ring to be tested in vehicle oil liquid and carrying out oil liquid infiltration testing of the sealing rubber ring to be tested;
specifically, the elasticity test module is used for carrying out elasticity test on the sealing rubber ring to be tested which is subjected to oil infiltration test, and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be tested;
specifically, the characteristic image scanning module scans the surface characteristics of the sealing rubber ring to be tested after the elastic test is completed through a scanning electron microscope, obtains a surface characteristic image of the sealing rubber ring to be tested, and performs image processing on the surface characteristic image;
specifically, the defect parameter calculation module is used for identifying a defect area of the sealing rubber ring to be detected and calculating the area of the defect area of the sealing rubber ring to be detected;
specifically, the quality grade classification module performs quality grade classification of the sealing rubber ring to be detected by calculating the quality coefficient of the sealing rubber ring to be detected.
The storage medium is stored with instructions, and when a computer reads the instructions, the computer is enabled to execute the method for detecting the quality of the rubber sealing rings in batches.
An electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the method for detecting the quality of the rubber sealing rings in batches when executing the computer program.
Compared with the prior art, the invention has the following technical effects:
1. according to the invention, the automobile oil is heated in the oil infiltration test of the sealing rubber ring to be tested, so that the test efficiency can be improved, the interaction between the sealing rubber ring and the automobile oil is quickened, the detection time is shortened, meanwhile, the sealing rubber ring can be contacted with the oil such as engine oil, lubricating oil and the like, the detection environment is more approximate to the actual working condition through heating treatment, and the reliability of the quality detection result of the sealing rubber ring is enhanced.
2. According to the invention, the elastic test is carried out on the sealing rubber ring to be tested after the oil liquid infiltration test is completed, the extrusion parameter and the stretching parameter of the sealing rubber ring to be tested are calculated, and the material strength, the pressure resistance and the elastic recovery capability of the sealing rubber ring are evaluated, so that the deformation degree and the recovery capability of the sealing rubber ring in the actual use process can be predicted, and the sealing rubber ring can still maintain good elastic performance after long-term use.
3. According to the invention, the surface characteristic scanning is carried out on the sealing rubber ring to be tested after the elastic test is finished by the scanning electron microscope, and defects such as invisible cracks or softening expansion of the sealing rubber ring in the surface characteristic image are analyzed by the deep learning network, so that the running efficiency of the system is improved, and the quality detection result of the sealing rubber ring is more accurate and comprehensive.
4. According to the invention, the quality coefficient of the sealing rubber ring to be measured is calculated, the quality grade of the sealing rubber ring to be measured is classified, the quality grade of the sealing rubber ring to be measured is evaluated from a plurality of angles of deformation degree, compression resistance and tensile property, a more comprehensive and objective quality evaluation result is obtained, and the unilateral performance of a single factor is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a schematic flow chart of a mass detection method for rubber seal rings;
FIG. 2 is a schematic structural diagram of a mass detection system for rubber seal rings according to the present invention;
FIG. 3 is an image processing flow chart of a surface feature image of a sealing rubber ring to be tested;
fig. 4 is a schematic diagram of quality classification of a sealing rubber ring to be tested according to the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
As shown in fig. 1, 3 and 4, the method for detecting the quality of the rubber sealing ring in batches according to the embodiment of the invention, as shown in fig. 1, comprises the following specific steps:
taking an engine sealing rubber ring for ensuring that cooling liquid and engine oil do not leak as an example, performing defect detection on the engine sealing rubber ring, and specifically comprising the following steps:
s1: soaking the sealing rubber ring to be tested in vehicle oil, and performing an oil infiltration test of the sealing rubber ring to be tested;
the oil infiltration test comprises the following specific steps:
s101: cleaning greasy dirt and impurities on the surface of the sealing rubber ring to be tested, and enabling the surface of the sealing rubber ring to be tested to be completely immersed in automobile oil;
s102: heating the automobile oil to enable the temperature of the automobile oil to rise to 120 ℃ at a heating rate of 5 ℃/min, wherein the unit time for completing one-time oil infiltration test of the sealing rubber ring to be tested is 24 hours;
s103: and taking out the sealing rubber ring to be tested, which is subjected to one-time oil infiltration test of the sealing rubber ring to be tested, and cleaning oil stains on the surface of the sealing rubber ring to be tested.
S2: carrying out elasticity test on the sealing rubber ring to be tested which is subjected to oil infiltration test, and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be tested;
the elasticity test comprises the following specific steps of;
s201: setting mechanical parameters of the hydraulic device, wherein the extrusion pressure is set asThe telescopic tension is set as；
S202: inner diameter of sealing rubber ring after oil liquid infiltration test is measuredOuter diameter->Thickness->；
S203: by hydraulic meansThe method comprises the steps of vertically applying two extrusion pressures to a sealing rubber ring to be detected from the upper direction and the lower direction respectively, stopping applying the extrusion pressure to the sealing rubber ring to be detected after 20S, repeating the extrusion pressure applying process of the sealing rubber ring to be detected for 3 times, and recording the vertical deformation displacement of the sealing rubber ring to be detected after restoration through piezoresistive sensor equipmentWherein the recovery time of the sealing rubber ring to be tested is +.>；
S204: two stretching pulling forces are applied to the sealing rubber ring to be tested horizontally from left and right directions through hydraulic equipment respectively, the stretching pulling force is stopped being applied to the sealing rubber ring to be tested after 20S, the stretching pulling force applying process of the sealing rubber ring to be tested is repeated for 3 times, and the horizontal deformation displacement of the sealing rubber ring to be tested after restoration is recorded through piezoresistive sensor equipmentWherein the recovery time of the sealing rubber ring to be tested is +.>；
S205: and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be measured.
The calculation strategy of the extrusion parameters of the sealing rubber ring to be measured is as follows:
；
wherein,
the method comprises the steps of carrying out a first treatment on the surface of the i is the repetition number of the extrusion pressure applying process of the sealing rubber ring to be tested;
is the circumference ratio; k is the compression amplifying coefficient of the piezoresistive sensor;
conductivity of the semiconductor in the piezoresistive sensor, < >>；
The strain of the sealing rubber ring to be measured in the ith extrusion pressure applying process is obtained;
the extrusion parameters of the sealing rubber ring to be tested in the ith extrusion pressure applying process are obtained;
when extrusion pressure is applied to the sealing rubber ring to be tested for the ith time, the sealing rubber ring to be tested is subjected to vertical deformation displacement after restoration;
and when extrusion pressure is applied to the sealing rubber ring to be tested for the ith time, the recovery time of the sealing rubber ring to be tested.
Wherein, the extrusion parameter of the engine sealing rubber ring is that
；
The tensile parameters of the sealing rubber ring to be measured are calculated and measured as follows:
；
wherein,the strain of the sealing rubber ring to be tested in the ith stretching tension applying process is obtained;
the stretching parameters of the sealing rubber ring to be tested in the ith stretching tension applying process are obtained;
when the stretching tension is applied to the sealing rubber ring to be tested for the ith time, the horizontal deformation displacement of the sealing rubber ring to be tested after restoration is realized;
when the stretching tension is applied to the sealing rubber ring to be tested for the ith time, the recovery time of the sealing rubber ring to be tested.
Wherein, the stretching parameter of the engine sealing rubber ring is that
；
S3: carrying out surface characteristic scanning on the sealing rubber ring to be tested after the elastic test is completed through a scanning electron microscope, obtaining a surface characteristic image of the sealing rubber ring to be tested, and carrying out image processing on the surface characteristic image;
as shown in fig. 3, S3 includes the following specific steps:
s301: carrying out surface feature scanning on the outer surface of the sealing rubber ring to be tested after the elastic test is finished by a scanning electron microscope from left to right to obtain a surface feature image of the sealing rubber ring to be tested;
s302: performing edge detection and mean filtering denoising pretreatment on the surface characteristic image obtained in the step S301;
s303: graying the preprocessed surface feature image, carrying out gray threshold segmentation treatment on the defect areas, and separating an image background from the defect areas, wherein each defect area comprises a central line area U and an edge area V;
s304: and (3) constructing a deep learning network, carrying out region identification and marking of a defect region on the surface characteristic image subjected to graying in the step (S303), and extracting characteristic information of the defect region.
The constraint equation of the gray threshold segmentation process is as follows:
；
the method comprises the steps of establishing a coordinate system by taking a pixel point at the lower left corner of each surface characteristic image as a coordinate origin;
x is a horizontal axis coordinate, and y is a vertical axis coordinate;
is coordinate point +.>Pixel values of the pixel points of (a);
the gray average value of the surface characteristic image;
is coordinate point +.>The information value of the pixel point after the gray threshold segmentation processing.
S4: according to S3, identifying a defect area of the sealing rubber ring to be detected, and calculating the area of the defect area of the sealing rubber ring to be detected;
s5: and (5) carrying out quality grade division on the sealing rubber ring to be detected by calculating the quality coefficient of the sealing rubber ring to be detected.
The mass coefficient calculation of the sealing rubber ring to be measured comprises the following steps:
standard mass coefficientThe calculation formula of (2) is as follows:
；
wherein,
is a defect weight factor; />Is an extrusion weight factor; />Is a tensile weight factor;
；
m is the total number of the defect areas identified by the deep learning network;
is the area of the edge region V in the mth defective region;
is the area of the central line area U in the mth defect area;
relative mass coefficientThe calculation formula of (2) is as follows: />Wherein n is the total number of sealing rubber rings to be tested;
the calculation formula of the mass coefficient of the sealing rubber ring to be measured is as follows:
；
wherein,
the weight is the standard quality coefficient; />Is the weight of the relative mass coefficient; />。
；/>。
As shown in fig. 4, the quality classification of the sealing rubber ring to be tested includes:
when (when)Judging the quality grade of the sealing rubber ring to be tested as first-grade quality;
when (when)Judging the quality grade of the sealing rubber ring to be detected as a secondary quality;
when (when)Judging the quality grade of the sealing rubber ring to be tested as three-level quality;
when (when)Judging the quality grade of the sealing rubber ring to be tested as four-grade quality;
when (when)Judging the quality grade of the sealing rubber ring to be detected as five-grade quality;
and detecting that the quality grade of the engine sealing rubber ring is a secondary quality.
Example two
As shown in fig. 2, 3 and 4, the mass detection system for the rubber sealing rings in the embodiment of the invention, as shown in fig. 2, comprises the following modules:
the device comprises an oil infiltration testing module, an elasticity testing module, a characteristic image scanning module, a defect parameter calculating module and a quality grade dividing module;
taking a brake sealing rubber ring for providing the sealing performance and the stability of a brake system as an example, performing defect detection on the brake sealing rubber ring, wherein the method comprises the following specific steps of:
the oil liquid infiltration testing module is used for immersing the sealing rubber ring to be tested in vehicle oil liquid and carrying out oil liquid infiltration testing of the sealing rubber ring to be tested;
the oil infiltration test comprises the following specific steps:
s101: cleaning greasy dirt and impurities on the surface of the sealing rubber ring to be tested, and enabling the surface of the sealing rubber ring to be tested to be completely immersed in automobile oil;
s102: heating the automobile oil to enable the temperature of the automobile oil to rise to 120 ℃ at a heating rate of 5 ℃/min, wherein the unit time for completing one-time oil infiltration test of the sealing rubber ring to be tested is 24 hours;
s103: and taking out the sealing rubber ring to be tested, which is subjected to one-time oil infiltration test of the sealing rubber ring to be tested, and cleaning oil stains on the surface of the sealing rubber ring to be tested.
The elastic test module is used for carrying out elastic test on the sealing rubber ring to be tested which is subjected to oil infiltration test, and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be tested;
the elasticity test comprises the following specific steps of;
s201: setting mechanical parameters of the hydraulic device, wherein the extrusion pressure is set asThe telescopic tension is set as；
S202: inner diameter of sealing rubber ring after oil liquid infiltration test is measuredOuter diameter->Thickness->；
S203: simultaneously and vertically applying two extrusion pressures to the sealing rubber ring to be detected through hydraulic equipment from the upper direction and the lower direction respectively, stopping applying the extrusion pressure to the sealing rubber ring to be detected after 20S, repeating the extrusion pressure applying process of the sealing rubber ring to be detected for 3 times, and recording the vertical deformation displacement of the sealing rubber ring to be detected after restoration through piezoresistive sensor equipmentWherein the recovery time of the sealing rubber ring to be tested is +.>；
S204: two stretching pulling forces are applied to the sealing rubber ring to be tested horizontally from left and right directions through hydraulic equipment respectively, the stretching pulling force is stopped being applied to the sealing rubber ring to be tested after 20S, the stretching pulling force applying process of the sealing rubber ring to be tested is repeated for 3 times, and the horizontal deformation displacement of the sealing rubber ring to be tested after restoration is recorded through piezoresistive sensor equipmentWherein the recovery time of the sealing rubber ring to be tested is +.>；
S205: and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be measured.
The calculation strategy of the extrusion parameters of the sealing rubber ring to be measured is as follows:
；
wherein,
the method comprises the steps of carrying out a first treatment on the surface of the i is the repetition number of the extrusion pressure applying process of the sealing rubber ring to be tested;
is the circumference ratio; k is the compression amplifying coefficient of the piezoresistive sensor;
conductivity of the semiconductor in the piezoresistive sensor, < >>；
The strain of the sealing rubber ring to be measured in the ith extrusion pressure applying process is obtained;
the extrusion parameters of the sealing rubber ring to be tested in the ith extrusion pressure applying process are obtained;
when extrusion pressure is applied to the sealing rubber ring to be tested for the ith time, the sealing rubber ring to be tested is subjected to vertical deformation displacement after restoration;
and when extrusion pressure is applied to the sealing rubber ring to be tested for the ith time, the recovery time of the sealing rubber ring to be tested.
Wherein the extrusion parameters of the brake sealing rubber ring are as follows
；
The tensile parameters of the sealing rubber ring to be measured are calculated and measured as follows:
；
wherein,the strain of the sealing rubber ring to be tested in the ith stretching tension applying process is obtained;
the stretching parameters of the sealing rubber ring to be tested in the ith stretching tension applying process are obtained;
when the stretching tension is applied to the sealing rubber ring to be tested for the ith time, the horizontal deformation displacement of the sealing rubber ring to be tested after restoration is realized;
when the stretching tension is applied to the sealing rubber ring to be tested for the ith time, the recovery time of the sealing rubber ring to be tested.
Wherein the tensile parameter of the brake sealing rubber ring is
；
The characteristic image scanning module scans the surface characteristics of the sealing rubber ring to be tested after the elastic test is completed through a scanning electron microscope, obtains the surface characteristic image of the sealing rubber ring to be tested, and performs image processing on the surface characteristic image;
as shown in fig. 3, S3 includes the following specific steps:
s301: carrying out surface feature scanning on the outer surface of the sealing rubber ring to be tested after the elastic test is finished by a scanning electron microscope from left to right to obtain a surface feature image of the sealing rubber ring to be tested;
s302: performing edge detection and mean filtering denoising pretreatment on the surface characteristic image obtained in the step S301;
s303: graying the preprocessed surface feature image, carrying out gray threshold segmentation treatment on the defect areas, and separating an image background from the defect areas, wherein each defect area comprises a central line area U and an edge area V;
s304: and (3) constructing a deep learning network, carrying out region identification and marking of a defect region on the surface characteristic image subjected to graying in the step (S303), and extracting characteristic information of the defect region.
The constraint equation of the gray threshold segmentation process is as follows:
；
the method comprises the steps of establishing a coordinate system by taking a pixel point at the lower left corner of each surface characteristic image as a coordinate origin;
x is a horizontal axis coordinate, and y is a vertical axis coordinate;
is coordinate point +.>Pixel values of the pixel points of (a);
the gray average value of the surface characteristic image;
is coordinate point +.>The information value of the pixel point after the gray threshold segmentation processing.
The defect parameter calculation module is used for identifying a defect area of the sealing rubber ring to be detected and calculating the area of the defect area of the sealing rubber ring to be detected;
the quality grade classification module is used for classifying the quality grade of the sealing rubber ring to be detected by calculating the quality coefficient of the sealing rubber ring to be detected.
The mass coefficient calculation of the sealing rubber ring to be measured comprises the following steps:
standard mass coefficientThe calculation formula of (2) is as follows:
；
wherein,
is a defect weight factor; />Is an extrusion weight factor; />Is a tensile weight factor;
；
m is the total number of the defect areas identified by the deep learning network;
is the area of the edge region V in the mth defective region;
is the area of the central line area U in the mth defect area;
relative mass coefficientThe calculation formula of (2) is as follows: />Wherein n is the total number of sealing rubber rings to be tested;
the calculation formula of the mass coefficient of the sealing rubber ring to be measured is as follows:
；
wherein,
the weight is the standard quality coefficient; />Is the weight of the relative mass coefficient; />。
；/>。
As shown in fig. 4, the quality classification of the sealing rubber ring to be tested includes:
when (when)Judging the quality grade of the sealing rubber ring to be tested as first-grade quality;
when (when)Judging the quality grade of the sealing rubber ring to be detected as a secondary quality;
when (when)Judging the quality grade of the sealing rubber ring to be tested as three-level quality;
when (when)Judging the quality grade of the sealing rubber ring to be tested as four-grade quality;
when (when)Judging the quality grade of the sealing rubber ring to be detected as five-grade quality;
and detecting that the quality grade of the brake sealing rubber ring is the first grade quality.
Example III
The present embodiment provides an electronic device including: a processor and a memory, wherein the memory stores a computer program for the processor to call;
the processor executes the method for detecting the quality of the rubber sealing rings in batches by calling the computer program stored in the memory.
The electronic device can generate larger difference due to different configurations or performances, and can comprise one or more processors (Central Processing Units, CPU) and one or more memories, wherein at least one computer program is stored in the memories, and the computer program is loaded and executed by the processors to realize the method for detecting the quality of the rubber sealing ring in batches. The electronic device can also include other components for implementing the functions of the device, for example, the electronic device can also have wired or wireless network interfaces, input-output interfaces, and the like, for inputting and outputting data. The present embodiment is not described herein.
Example IV
The present embodiment proposes a computer-readable storage medium having stored thereon an erasable computer program;
when the computer program runs on the computer equipment, the computer equipment is caused to execute the method for detecting the quality of the rubber sealing rings in batches.
For example, the computer readable storage medium can be Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), compact disk Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM), magnetic tape, floppy disk, optical data storage device, etc.
In summary, compared with the prior art, the technical effects of the invention are as follows:
1. according to the invention, the automobile oil is heated in the oil infiltration test of the sealing rubber ring to be tested, so that the test efficiency can be improved, the interaction between the sealing rubber ring and the automobile oil is quickened, the detection time is shortened, meanwhile, the sealing rubber ring can be contacted with the oil such as engine oil, lubricating oil and the like, the detection environment is more approximate to the actual working condition through heating treatment, and the reliability of the quality detection result of the sealing rubber ring is enhanced.
2. According to the invention, the elastic test is carried out on the sealing rubber ring to be tested after the oil liquid infiltration test is completed, the extrusion parameter and the stretching parameter of the sealing rubber ring to be tested are calculated, and the material strength, the pressure resistance and the elastic recovery capability of the sealing rubber ring are evaluated, so that the deformation degree and the recovery capability of the sealing rubber ring in the actual use process can be predicted, and the sealing rubber ring can still maintain good elastic performance after long-term use.
3. According to the invention, the surface characteristic scanning is carried out on the sealing rubber ring to be tested after the elastic test is finished by the scanning electron microscope, and defects such as invisible cracks or softening expansion of the sealing rubber ring in the surface characteristic image are analyzed by the deep learning network, so that the running efficiency of the system is improved, and the quality detection result of the sealing rubber ring is more accurate and comprehensive.
4. According to the invention, the quality coefficient of the sealing rubber ring to be measured is calculated, the quality grade of the sealing rubber ring to be measured is classified, the quality grade of the sealing rubber ring to be measured is evaluated from a plurality of angles of deformation degree, compression resistance and tensile property, a more comprehensive and objective quality evaluation result is obtained, and the unilateral performance of a single factor is avoided.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (11)
1. A mass detection method for rubber sealing rings is characterized in that: the method comprises the following specific steps:
s1: soaking the sealing rubber ring to be tested in automobile oil, and performing an oil infiltration test of the sealing rubber ring to be tested;
s2: carrying out elasticity test on the sealing rubber ring to be tested which is subjected to oil infiltration test, and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be tested;
s3: carrying out surface characteristic scanning on the sealing rubber ring to be tested after the elastic test is completed through a scanning electron microscope, obtaining a surface characteristic image of the sealing rubber ring to be tested, and carrying out image processing on the surface characteristic image;
s4: according to S3, identifying a defect area of the sealing rubber ring to be detected, and calculating the area of the defect area of the sealing rubber ring to be detected;
s5: the quality grade division of the sealing rubber ring to be detected is carried out by calculating the quality coefficient of the sealing rubber ring to be detected;
the mass coefficient calculation of the sealing rubber ring to be measured comprises the following steps:
standard mass coefficientThe calculation formula of (2) is as follows:
；
wherein,
is a defect weight factor; />Is an extrusion weight factor; />Is a tensile weight factor;
m is the total number of the defect areas identified by the deep learning network;
is the area of the edge region V in the mth defective region;
is the area of the central line area U in the mth defect area;
the inner diameter of the sealing rubber ring is the inner diameter of the sealing rubber ring after the oil liquid infiltration test is completed;
the outer diameter of the sealing rubber ring is the outer diameter of the sealing rubber ring after the oil liquid infiltration test is completed;
the extrusion parameters of the sealing rubber ring to be tested in the ith extrusion pressure applying process are obtained;
the stretching parameters of the sealing rubber ring to be tested in the ith stretching tension applying process are obtained;
relative mass coefficientThe calculation formula of (2) is as follows: />Wherein n is the total number of sealing rubber rings to be tested;
the calculation formula of the mass coefficient of the sealing rubber ring to be measured is as follows:
；
wherein,the mass coefficient of the sealing rubber ring to be measured;
the weight is the standard quality coefficient; />Is the weight of the relative mass coefficient; />。
2. The method for mass detection of rubber sealing rings according to claim 1, wherein the oil infiltration test in S1 comprises the following specific steps:
s101: cleaning greasy dirt and impurities on the surface of the sealing rubber ring to be tested, and enabling the surface of the sealing rubber ring to be tested to be completely immersed in automobile oil;
s102: heating the automobile oil to enable the temperature of the automobile oil to rise to 120 ℃ at a heating rate of 5 ℃/min, wherein the unit time for completing one-time oil infiltration test of the sealing rubber ring to be tested is 24 hours;
s103: and taking out the sealing rubber ring to be tested, which is subjected to one-time oil infiltration test of the sealing rubber ring to be tested, and cleaning oil stains on the surface of the sealing rubber ring to be tested.
3. The method for mass detection of rubber sealing rings according to claim 1, wherein the elasticity test in S2 comprises the following specific steps;
s201: setting mechanical parameters of the hydraulic device, wherein the extrusion pressure is set asThe telescopic tension is set as；
S202: inner diameter of sealing rubber ring after oil liquid infiltration test is measuredOuter diameter->Thickness->；
S203: simultaneously and vertically applying two extrusion pressures to the sealing rubber ring to be detected through hydraulic equipment from the upper direction and the lower direction respectively, stopping applying the extrusion pressure to the sealing rubber ring to be detected after 20S, repeating the extrusion pressure applying process of the sealing rubber ring to be detected for 3 times, and recording the vertical deformation displacement of the sealing rubber ring to be detected after restoration through piezoresistive sensor equipmentWherein the recovery time of the sealing rubber ring to be tested is +.>；
S204: two stretching pulling forces are applied to the sealing rubber ring to be tested horizontally from left and right directions through hydraulic equipment respectively, the stretching pulling force is stopped being applied to the sealing rubber ring to be tested after 20S, the stretching pulling force applying process of the sealing rubber ring to be tested is repeated for 3 times, and the horizontal deformation displacement of the sealing rubber ring to be tested after restoration is recorded through piezoresistive sensor equipmentWherein the recovery time of the sealing rubber ring to be tested is +.>；
S205: and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be measured.
4. The method for mass detection of rubber sealing rings according to claim 3, wherein the calculation strategy of the extrusion parameters of the sealing rubber rings to be detected is as follows:
；
wherein,
the method comprises the steps of carrying out a first treatment on the surface of the i is the repetition number of the extrusion pressure applying process of the sealing rubber ring to be tested;
is the circumference ratio; k is the compression amplifying coefficient of the piezoresistive sensor;
conductivity of the semiconductor in the piezoresistive sensor;
the strain of the sealing rubber ring to be measured in the ith extrusion pressure applying process is obtained;
the extrusion parameters of the sealing rubber ring to be tested in the ith extrusion pressure applying process are obtained;
when extrusion pressure is applied to the sealing rubber ring to be tested for the ith time, the sealing rubber ring to be tested is subjected to vertical deformation displacement after restoration;
and when extrusion pressure is applied to the sealing rubber ring to be tested for the ith time, the recovery time of the sealing rubber ring to be tested.
5. The method for mass detection of rubber sealing rings according to claim 3, wherein the calculation and measurement of the stretching parameters of the sealing rubber rings to be detected are as follows:
；
wherein,the strain of the sealing rubber ring to be tested in the ith stretching tension applying process is obtained;
the stretching parameters of the sealing rubber ring to be tested in the ith stretching tension applying process are obtained;
when the stretching tension is applied to the sealing rubber ring to be tested for the ith time, the horizontal deformation displacement of the sealing rubber ring to be tested after restoration is realized;
when the stretching tension is applied to the sealing rubber ring to be tested for the ith time, the recovery time of the sealing rubber ring to be tested.
6. The mass detection method for the rubber sealing rings according to claim 1, wherein the step S3 comprises the following specific steps:
s301: carrying out surface feature scanning on the outer surface of the sealing rubber ring to be tested after the elastic test is finished by a scanning electron microscope from left to right to obtain a surface feature image of the sealing rubber ring to be tested;
s302: performing edge detection and mean filtering denoising pretreatment on the surface characteristic image obtained in the step S301;
s303: graying the preprocessed surface feature image, carrying out gray threshold segmentation treatment on the defect areas, and separating an image background from the defect areas, wherein each defect area comprises a central line area U and an edge area V;
s304: and (3) constructing a deep learning network, carrying out region identification and marking of a defect region on the surface characteristic image subjected to graying in the step (S303), and extracting characteristic information of the defect region.
7. The method for mass detection of rubber sealing rings according to claim 6, wherein the constraint equation of the gray threshold segmentation process is as follows:
；
the method comprises the steps of establishing a coordinate system by taking a pixel point at the lower left corner of each surface characteristic image as a coordinate origin;
x is a horizontal axis coordinate, and y is a vertical axis coordinate;
is coordinate point +.>Pixel values of the pixel points of (a);
the gray average value of the surface characteristic image;
is coordinate point +.>The information value of the pixel point after the gray threshold segmentation processing.
8. The method for mass detection of rubber sealing rings according to claim 1, wherein the mass classification of the sealing rubber rings to be detected comprises:
when (when)Judging the quality grade of the sealing rubber ring to be tested as first-grade quality;
when (when)Judging the quality grade of the sealing rubber ring to be detected as a secondary quality;
when (when)Judging the quality grade of the sealing rubber ring to be tested as three-level quality;
when (when)In the time-course of which the first and second contact surfaces,judging the quality grade of the sealing rubber ring to be tested as four-grade quality;
when (when)And judging the quality grade of the sealing rubber ring to be detected as five-grade quality.
9. A mass detection system for rubber sealing rings, which is realized based on the mass detection method for rubber sealing rings according to any one of claims 1-8, and is characterized in that the system comprises the following modules:
the device comprises an oil infiltration testing module, an elasticity testing module, a characteristic image scanning module, a defect parameter calculating module and a quality grade dividing module;
the oil liquid infiltration testing module is used for immersing the sealing rubber ring to be tested in automobile oil liquid and carrying out oil liquid infiltration testing on the sealing rubber ring to be tested;
the elastic test module is used for carrying out elastic test on the sealing rubber ring to be tested which is subjected to oil infiltration test, and calculating extrusion parameters and stretching parameters of the sealing rubber ring to be tested;
the characteristic image scanning module scans the surface characteristics of the sealing rubber ring to be tested after the elastic test is completed through a scanning electron microscope, obtains the surface characteristic image of the sealing rubber ring to be tested, and performs image processing on the surface characteristic image;
the defect parameter calculation module is used for identifying a defect area of the sealing rubber ring to be detected and calculating the area of the defect area of the sealing rubber ring to be detected;
the quality grade classification module is used for classifying the quality grade of the sealing rubber ring to be detected by calculating the quality coefficient of the sealing rubber ring to be detected.
10. A computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the operations of a method of mass detection of rubber seals as claimed in any one of claims 1 to 8.
11. An apparatus, comprising:
a memory for storing instructions;
a processor for executing the instructions to cause the apparatus to perform operations to implement a method for mass detection of rubber seal quality as defined in any one of claims 1 to 8.
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