CN110412092A - A kind of detection system and method based on Review of Electrical Impedance Tomography - Google Patents
A kind of detection system and method based on Review of Electrical Impedance Tomography Download PDFInfo
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- 238000002593 electrical impedance tomography Methods 0.000 title claims abstract description 26
- 238000001514 detection method Methods 0.000 title claims abstract description 25
- 238000012552 review Methods 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 title abstract description 16
- 239000000463 material Substances 0.000 claims abstract description 45
- 239000011248 coating agent Substances 0.000 claims abstract description 43
- 238000000576 coating method Methods 0.000 claims abstract description 43
- 238000012545 processing Methods 0.000 claims abstract description 12
- 239000000758 substrate Substances 0.000 claims abstract description 7
- 230000006378 damage Effects 0.000 claims description 22
- 238000005259 measurement Methods 0.000 claims description 14
- 239000003795 chemical substances by application Substances 0.000 claims description 9
- CSCPPACGZOOCGX-UHFFFAOYSA-N acetone Substances CC(C)=O CSCPPACGZOOCGX-UHFFFAOYSA-N 0.000 claims description 7
- 239000011231 conductive filler Substances 0.000 claims description 7
- 239000007788 liquid Substances 0.000 claims description 7
- 239000002518 antifoaming agent Substances 0.000 claims description 6
- 238000011068 loading method Methods 0.000 claims description 6
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 5
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims description 5
- BQCADISMDOOEFD-UHFFFAOYSA-N Silver Chemical compound [Ag] BQCADISMDOOEFD-UHFFFAOYSA-N 0.000 claims description 5
- 239000003504 photosensitizing agent Substances 0.000 claims description 5
- 229910052709 silver Inorganic materials 0.000 claims description 5
- 239000004332 silver Substances 0.000 claims description 5
- 239000012745 toughening agent Substances 0.000 claims description 5
- 239000012956 1-hydroxycyclohexylphenyl-ketone Substances 0.000 claims description 4
- WHNWPMSKXPGLAX-UHFFFAOYSA-N N-Vinyl-2-pyrrolidone Chemical compound C=CN1CCCC1=O WHNWPMSKXPGLAX-UHFFFAOYSA-N 0.000 claims description 4
- 239000006087 Silane Coupling Agent Substances 0.000 claims description 4
- MQDJYUACMFCOFT-UHFFFAOYSA-N bis[2-(1-hydroxycyclohexyl)phenyl]methanone Chemical group C=1C=CC=C(C(=O)C=2C(=CC=CC=2)C2(O)CCCCC2)C=1C1(O)CCCCC1 MQDJYUACMFCOFT-UHFFFAOYSA-N 0.000 claims description 4
- 239000003085 diluting agent Substances 0.000 claims description 4
- 229920001971 elastomer Polymers 0.000 claims description 4
- FWDBOZPQNFPOLF-UHFFFAOYSA-N ethenyl(triethoxy)silane Chemical compound CCO[Si](OCC)(OCC)C=C FWDBOZPQNFPOLF-UHFFFAOYSA-N 0.000 claims description 4
- 239000004611 light stabiliser Substances 0.000 claims description 4
- 239000011159 matrix material Substances 0.000 claims description 4
- 229920001021 polysulfide Polymers 0.000 claims description 4
- 239000005077 polysulfide Substances 0.000 claims description 4
- 150000008117 polysulfides Polymers 0.000 claims description 4
- WYTZZXDRDKSJID-UHFFFAOYSA-N (3-aminopropyl)triethoxysilane Chemical group CCO[Si](OCC)(OCC)CCCN WYTZZXDRDKSJID-UHFFFAOYSA-N 0.000 claims description 3
- ZXDDPOHVAMWLBH-UHFFFAOYSA-N 2,4-Dihydroxybenzophenone Chemical compound OC1=CC(O)=CC=C1C(=O)C1=CC=CC=C1 ZXDDPOHVAMWLBH-UHFFFAOYSA-N 0.000 claims description 3
- BLRPTPMANUNPDV-UHFFFAOYSA-N Silane Chemical compound [SiH4] BLRPTPMANUNPDV-UHFFFAOYSA-N 0.000 claims description 3
- OKKRPWIIYQTPQF-UHFFFAOYSA-N Trimethylolpropane trimethacrylate Chemical compound CC(=C)C(=O)OCC(CC)(COC(=O)C(C)=C)COC(=O)C(C)=C OKKRPWIIYQTPQF-UHFFFAOYSA-N 0.000 claims description 3
- 229910021389 graphene Inorganic materials 0.000 claims description 3
- 229920000260 silastic Polymers 0.000 claims description 3
- RWCCWEUUXYIKHB-UHFFFAOYSA-N benzophenone Chemical group C=1C=CC=CC=1C(=O)C1=CC=CC=C1 RWCCWEUUXYIKHB-UHFFFAOYSA-N 0.000 claims description 2
- 239000012965 benzophenone Substances 0.000 claims description 2
- 239000002041 carbon nanotube Substances 0.000 claims description 2
- 229910021393 carbon nanotube Inorganic materials 0.000 claims description 2
- 230000005611 electricity Effects 0.000 claims description 2
- 150000002576 ketones Chemical class 0.000 claims description 2
- 229920000570 polyether Polymers 0.000 claims description 2
- 229910000077 silane Inorganic materials 0.000 claims description 2
- SHKUUQIDMUMQQK-UHFFFAOYSA-N 2-[4-(oxiran-2-ylmethoxy)butoxymethyl]oxirane Chemical compound C1OC1COCCCCOCC1CO1 SHKUUQIDMUMQQK-UHFFFAOYSA-N 0.000 claims 1
- 240000007594 Oryza sativa Species 0.000 claims 1
- 235000007164 Oryza sativa Nutrition 0.000 claims 1
- 239000004020 conductor Substances 0.000 claims 1
- 238000010422 painting Methods 0.000 claims 1
- 235000009566 rice Nutrition 0.000 claims 1
- 238000012360 testing method Methods 0.000 abstract description 5
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 238000009659 non-destructive testing Methods 0.000 abstract description 3
- 230000008859 change Effects 0.000 abstract description 2
- 238000011897 real-time detection Methods 0.000 abstract description 2
- 239000000853 adhesive Substances 0.000 description 5
- 230000001070 adhesive effect Effects 0.000 description 5
- 238000003384 imaging method Methods 0.000 description 5
- 238000002360 preparation method Methods 0.000 description 4
- 239000005357 flat glass Substances 0.000 description 3
- 238000002156 mixing Methods 0.000 description 3
- 239000002994 raw material Substances 0.000 description 3
- 238000003756 stirring Methods 0.000 description 3
- 238000010998 test method Methods 0.000 description 3
- 239000004925 Acrylic resin Substances 0.000 description 2
- 229920000178 Acrylic resin Polymers 0.000 description 2
- RTZKZFJDLAIYFH-UHFFFAOYSA-N Diethyl ether Chemical compound CCOCC RTZKZFJDLAIYFH-UHFFFAOYSA-N 0.000 description 2
- 239000004593 Epoxy Substances 0.000 description 2
- 206010061245 Internal injury Diseases 0.000 description 2
- 238000007792 addition Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000000016 photochemical curing Methods 0.000 description 2
- 229920003223 poly(pyromellitimide-1,4-diphenyl ether) Polymers 0.000 description 2
- OTEKOJQFKOIXMU-UHFFFAOYSA-N 1,4-bis(trichloromethyl)benzene Chemical group ClC(Cl)(Cl)C1=CC=C(C(Cl)(Cl)Cl)C=C1 OTEKOJQFKOIXMU-UHFFFAOYSA-N 0.000 description 1
- GTELLNMUWNJXMQ-UHFFFAOYSA-N 2-ethyl-2-(hydroxymethyl)propane-1,3-diol;prop-2-enoic acid Chemical compound OC(=O)C=C.OC(=O)C=C.OC(=O)C=C.CCC(CO)(CO)CO GTELLNMUWNJXMQ-UHFFFAOYSA-N 0.000 description 1
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000006735 deficit Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- GYZLOYUZLJXAJU-UHFFFAOYSA-N diglycidyl ether Chemical compound C1OC1COCC1CO1 GYZLOYUZLJXAJU-UHFFFAOYSA-N 0.000 description 1
- 238000010291 electrical method Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000010977 jade Substances 0.000 description 1
- 239000011259 mixed solution Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 238000011056 performance test Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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- 239000000243 solution Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/04—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
- G01N27/20—Investigating the presence of flaws
- G01N27/205—Investigating the presence of flaws in insulating materials
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- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
The invention discloses a kind of detection system and method based on Review of Electrical Impedance Tomography.System of the invention, including applying the central processing unit of the conductive coating being located on substrate to be detected, the multiple receiving electrodes being evenly distributed on conductive coating, the power supply being connect by conducting wire with any two receiving electrode, the data acquisition device being connect by conducting wire with remaining receiving electrode and data acquisition device and power electric connection and applying stressed universal testing machine to substrate to be detected.This method is detected using above system.System of the invention is by conductive coating as basis material loads the case where stress stretching causes resistance to change, detect its internal fissure situation, it can be with real-time detection and monitoring basis material damaged condition, it contributes for architecture quality monitoring, it is really achieved the purpose of non-destructive testing, method novelty of the invention, easy, low cost, strong operability.
Description
Technical field
The present invention relates to substance detection technique field more particularly to a kind of detection system based on Review of Electrical Impedance Tomography and
Method.
Background technique
Surface crack and internal injury are defects common in concrete structure, in Practical Project due to various reasons (such as
Dry contraction, temperature stress, external load effect, foundation deformation etc.) structural damage is difficult to avoid.These damage meeting Damage Structures
Globality and stability have an impact the safe operation of structure.Therefore, state, the development to determine crack or internal injury
And the influence of the origin cause of formation and rational evaluation these defects to works, mending option appropriate and opportunity are selected, its depth is grasped
It is all very important with its length, width these essential informations.
Review of Electrical Impedance Tomography (EIT) is by the way that a certain number of electrodes are arranged in body surface, on selected electrode
Apply electric current, then measure the voltage of each electrode, then by electric current, voltage data known to these, according to image reconstruction inverse operation
Method constructs the unknown impedance image of interior of articles, realizes visualization non-destructive testing purpose.When EIT is detected for civil engineering,
Common basis material (such as concrete, organic glass, rock etc.) self-conductive is poor, the acquisition precision of electrical data compared with
It is low, cause imaging effect poor, limits the utilization of EIT, it is difficult to be generalized to field of civil engineering.
Summary of the invention
It is an object of the present invention to be directed to the above-mentioned deficiency of the prior art, a kind of lossless, strong operability base is proposed
In the detection system and method for Review of Electrical Impedance Tomography.
A kind of detection system based on Review of Electrical Impedance Tomography of the invention, including applying the conduction being located on substrate to be detected
Coating, is connect by conducting wire with any two receiving electrode the multiple receiving electrodes being evenly distributed on the conductive coating
Power supply, be left data acquisition device that the receiving electrode connect by conducting wire, with the data acquisition device and power supply electricity
The central processing unit of connection.
Preferably, the conductive coating includes the component of following mass fraction: 40-80 parts of Epocryl, dilute
Release 16-56 parts of agent, 0.5-2.5 parts of photoinitiator, 0.5-2.5 parts of photosensitizer, 0.1-1 parts of light stabilizer, 0.1-1 parts of defoaming agent,
0.1-1 parts of levelling agent, 4-24 parts of toughener, 1-5 parts of silane coupling agent, 80-300 parts of conductive filler.
Preferably, the diluent is trimethylolpropane trimethacrylate, n-vinyl pyrrolidone and Isosorbide-5-Nitrae-fourth two
One of alcohol diglycidyl ether is a variety of.
Preferably, the photoinitiator is 1- hydroxycyclohexyl phenyl ketone, 2- methyl-1-(4- methyl mercapto phenyl)-2-
Lin Ji -1- acetone and 2- hydroxy-2-methyl -1- phenyl -1- acetone are one such or a variety of;The photosensitizer is hexichol first
Ketone, 2,4 dihydroxyl benzophenone and Michler's keton are one such or a variety of.
Preferably, the toughener is that liquid polysulfide rubber, liquid silastic and polyethers are one such or a variety of.
Preferably, the silane coupling agent is gamma-aminopropyl-triethoxy-silane, vinyltriethoxysilane and γ-
Glycidyl ether oxygen propyl trimethoxy silicane is one such or a variety of.
Preferably, the conductive filler is that silver-coated copper powder, carbon nanotube and graphene are one such or a variety of.
A kind of detection method based on Review of Electrical Impedance Tomography, uses above-mentioned detection system, the specific steps are as follows:
S1: preparatory prepared conductive coating is equably applied to substrate material surface with brush, then connects 2n
Electrode is received to be evenly distributed on the conductive coating;The power supply that any two of them receiving electrode is connected by conducting wire is left
2n-2 receiving electrodes connect by conducting wire with data acquisition device, receiving electrode is denoted as 1,2,
3.......2n;
S2: power supply is opened, and power supply output parameter is controlled by central processing unit, data acquisition device acquisition is coupled
The voltage between electrode connect is measured defeated into conductive coating by (1,2) electrode when power supply using adjacent actuators mode
Enter constant current, acquires each group voltage in the electrodes such as (2,3), (3,4) ... (2n, 1), it is then defeated by (2,3) electrode again
Enter constant current, the same voltage acquired on remaining each group electrode, and so on until circle collection is completed, each data 0.02
The rate of~2s carries out data acquisition, and when using 2n electrode, one group of data includes 2n × 2n=4n2A voltage;
: after external force carries out Slow loading to basis material, there is microcrack to basis material side, repeat step S2 in S3,
Measure one group of data;
S4: two groups of data that central processing unit is collected before and after loading are inverse to conductive coating potential difference distribution progress EIT to ask
Topic calculates, and combines modified Gauss-Newton iterative algorithm using software MATLAB, finds most suitable parameter, realizes electrical impedance
Imaging.
Preferably, modified Gauss-Newton iterative algorithm are as follows:
Assuming that the conductivity of basis material damage front and back conductive coating is respectively σrefAnd σ, measurement voltage is respectively VrefWith
V, then
Vref=U (σref)+nref (1)
U (σ in formularef) it is conductive coating distribution of conductivity σ before basis material damagesrefWith the observable quantity V of electrode potential
Between computation model, nrefIt is the measurement noise before basis material damage;
The best uniform estimated value of conductive coating before basis material damages
The approximate error item ε obtained in measurement before basis material damage:
Then
N is measurement noise δ n=n-n after basis material damage in formularef;
The best uniform estimated value of conductive coating after basis material damage
L is about a known matrix for measuring noise statistics, p in formulaσ(σ) be total variance function can be micro- close
Seemingly, pσ(σ) can be obtained by formula (6):
In formula (▽ σ) |ΩkIt is in finite element grid ΩkThe gradient of σ, N in uniteIt is first prime number in computational domain, α is one
The parameter of a control penalty factor weight, β are p during an adjusting MAP estimation calculatesσThe parameter of (σ) gradient.
Preferably, central processing system controls power supply, it is made to export the sine of 0.1-100mA, frequency 10-100000Hz
Alternating current.
Invention can verify the reasonability that Review of Electrical Impedance Tomography is applied in industrial detection, carry out to basis material noninvasive
Detection.Properly mixed conductive coating is smeared in substrate material surface, carries out the measurement of impedance to basis material with instrument.It is sharp again
It is imaged and is calculated with MATLAB software for calculation, situation of our its available inside, according to the difference of impedance, Ke Yitong
The case where conductive coating causes resistance to change with basis material load stress stretching is spent, detects its internal fissure feelings
Condition can be contributed for architecture quality monitoring with real-time detection and monitoring basis material damaged condition, be really achieved non-destructive testing
Purpose, this method is novel, easy, low cost, strong operability.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of detection system based on Review of Electrical Impedance Tomography of the invention;
Fig. 2 is the electrical impedance imaging figure for the basis material that embodiment 1 detects.
1- conductive coating;2- basis material;3- receiving electrode;4- power supply;5- data acquisition device;6- central processing unit.
Specific embodiment
Following is a specific embodiment of the present invention in conjunction with the accompanying drawings, technical scheme of the present invention will be further described,
However, the present invention is not limited to these examples.
A kind of conductive coating of detection system based on Review of Electrical Impedance Tomography of the invention, is prepared as follows:
Embodiment 1
Raw material are weighed according to following quality: 40 parts of Epocryl, trimethylolpropane trimethacrylate 16
Part, 0.5 part of 1- hydroxycyclohexyl phenyl ketone, 0.5 part of benzophenone, 0.1 part of light stabilizer, 0.1 part of defoaming agent, levelling agent
0.1 part, 4 parts of liquid polysulfide rubber, 1 part of gamma-aminopropyl-triethoxy-silane, 80 parts of graphene.
Conductive coating the preparation method is as follows:
Step 1 obtains mixed solution after being sufficiently mixed epoxy acrylic resin and diluent uniformly by formula ratio.
Both photoinitiator and photosensitizer are sufficiently mixed by step 2 by formula ratio, are then added to the mixed of step 1
It closes in solution and obtains photocuring mixed system.
Defoaming agent, levelling agent and silane coupling agent are added to the photocuring mixing that step 2 obtains by formula ratio by step 3
In system, organic carrier can be obtained after stirring.
Conductive filler is added in the organic carrier of step 3 in two times by formula ratio and stirs a period of time by step 4, so
After add toughener, using machine,massing 1200r/min, 60min, can be obtained after stirring conductive filler mixing
System.Being sufficiently mixed in the conductive filler of first time addition can just add second after mixing evenly.
Silver-coated copper powder mixed system obtained in step 4 is coated uniformly on basis material by step 5, and film thickness is about 300
μm, it is lain against in UV light machine again after standing 30min and solidifies 60min, it is soft that UV cured epoxy acrylic resin can be obtained
Conductive coating.
The UV conductive coating correlation broad perspectives performance test methods of above-mentioned preparation are as follows:
(1) shear strength: figure layer is equably coated on the Kapton of 40mm × 20mm, is cut at room temperature
It cuts testing machine and its cutting performance is tested with the loading velocity of 5mm/min.
(2) elongation: figure layer is equably coated on the Kapton of 40mm × 20mm, at room temperature pulling force
Testing machine is loaded with the loading velocity of 500 ± 30mm/min and calculates elongation.
(3) hardness: figure layer is equably applied on 40mm × 20mm × 5mm cuboid sheet glass, in room temperature condition
It is lower to test its hardness with Shore A durometer.
(4) adhesive force: figure layer is equably applied on 40mm × 20mm × 5mm cuboid sheet glass, in room temperature item
Its adhesive force is tested with tape method under part.
(5) resistivity: figure layer is equably applied on 40mm × 20mm × 5mm cuboid sheet glass, in room temperature item
Resistance is measured with precision resistance tester under part and calculates resistivity.
The main performance of the flexible conductive coating made from this example based on UV technique is tested out according to above-mentioned test method
Index are as follows: shear strength 5.32MPa, elongation 29.7%, hardness 42A, adhesive force 4B, resistivity be 1.435 ×
10-3Ω·cm。
Using system of the invention as shown in Figure 1, and the degree of impairment of following method detection basis material:
S1: conductive coating 1 prepared by embodiment 1, conductive coating 1 are equably applied to the matrix of 10*10cm with brush
Then 16 receiving electrodes 3 are evenly distributed on the conductive coating 1 by 2 surface of material, 16 receiving electrodes 3 can edge
The perimeter spaced set of basis material 2, the power supply 4 that any two of them receiving electrode 3 is connected by conducting wire, remaining 14
The receiving electrode 3 is connect by conducting wire with data acquisition device 5, and receiving electrode 3 is denoted as 1,2,3.......16;
S2: power supply is opened, and power supply is controlled by central processing unit 6 and exports 0.1-100mA, frequency 10-100000Hz
Sinusoidal ac, data acquisition device 5 acquired the voltage between coupled electrode, carried out using adjacent actuators mode
Measurement inputs constant current into conductive coating 1 by (1,2) receiving electrode 3 when power supply, in (2,3), (3,4) ... (16,1)
It waits electrodes to acquire each group voltage, constant current is then inputted by (2,3) electrode again, it is same to acquire residue each group receiving electrode
Voltage on 3, and so on until circle collection is completed, the rate of each 0.02~2s of data carries out data acquisition, works as use
When 16 electrodes, one group of data includes 16 × 16=256 voltage;
: after carrying out Slow loading to basis material 2 with universal testing machine, there is microcrack to 2 side of basis material in S3, weight
Multiple step S2, measures one group of data;
S4: it is inverse to 1 potential difference of conductive coating distribution progress EIT that central processing unit 6 will load two groups of data that front and back is collected
Problem calculates, and combines modified Gauss-Newton iterative algorithm using software MATLAB, finds most suitable parameter, realizes resistance
Anti- imaging, Fig. 2 are the electrical impedance imaging figure for changing basis material 2, as shown in Fig. 2, shadow part subregion is the damage of basis material 2
Area.
Wherein software MATLAB is in conjunction with the process of modified Gauss-Newton iterative algorithm:
Assuming that the conductivity of basis material damage front and back conductive coating is respectively σrefAnd σ, measurement voltage is respectively VrefWith
V, then
Vref=U (σref)+nref (1)
U (σ in formularef) it is conductive coating distribution of conductivity σ before basis material damagesrefWith the observable quantity V of electrode potential
Between computation model, nrefIt is the measurement noise before basis material damage;
The best uniform estimated value of conductive coating before basis material damages
The approximate error item ε obtained in measurement before basis material damage:
Then
N is measurement noise δ n=n-n after basis material damage in formularef;
The best uniform estimated value of conductive coating after basis material damage
L is about a known matrix for measuring noise statistics, p in formulaσ(σ) be total variance function can be micro- close
Seemingly, pσ(σ) can be obtained by formula (6):
In formula (▽ σ) |ΩkIt is in finite element grid ΩkThe gradient of σ, N in uniteIt is first prime number in computational domain, α is one
The parameter of a control penalty factor weight, β are p during an adjusting MAP estimation calculatesσThe parameter of (σ) gradient.
The 6221 type AC and DC current sources that the power supply that wherein present invention uses can produce for KEITHLEY company.
The 3706A type card insert type data set system that the data collection system that the present invention uses can produce for Keithley company
System.
Embodiment 2
Raw material are weighed according to following quality: 60 parts of Epocryl (EA), trimethylolpropane tris acrylic acid
Ester and 30 parts of n-vinyl pyrrolidone, 1- hydroxycyclohexyl phenyl ketone and 2- methyl-1-(4- methyl mercapto phenyl)-2- beautiful jade
1.2 parts of base -1- acetone, 1.2 parts of 2,4-DihydroxyBenzophenone, 0.3 part of light stabilizer, 0.3 part of defoaming agent, 0.3 part of levelling agent,
Liquid polysulfide rubber and 12 parts of liquid silastic, vinyltriethoxysilane and γ-glycidyl ether oxygen propyl trimethoxy
1.8 parts of silane, 150 parts of silver-coated copper powder.According to the preparation method in embodiment 1, conductive coating is made at room temperature.
The master of the flexible conductive coating made from this example based on UV technique is tested out according to the test method in embodiment 1
Want performance indicator are as follows: shear strength 5.66MPa, elongation 20.3%, hardness 48A, adhesive force 4B, resistivity are
1.366×10-3Ω·cm。
Embodiment 3
Raw material are weighed according to following quality: 80 parts of Epocryl (EA), 56 parts of n-vinyl pyrrolidone,
2.5 parts of acetone of -1- phenyl -1- of 2- hydroxy-2-methyl, 2.5 parts of Michler's keton, UV-5311 parts, 1 part of defoaming agent, 1 part of levelling agent, gather
24 parts of ether, 5 parts of vinyltriethoxysilane, 300 parts of silver-coated copper powder.According to the preparation method in embodiment 1, make at room temperature
Obtain conductive coating.
The master of the flexible conductive coating made from this example based on UV technique is tested out according to the test method in embodiment 1
Want performance indicator are as follows: shear strength 5.78MPa, elongation 21.3%, hardness 53A, adhesive force 4B, resistivity are
1.140×10-3Ω·cm。
It is not directed to place above, is suitable for the prior art.
Although some specific embodiments of the invention are described in detail by example, the skill of this field
Art personnel it should be understood that above example merely to be illustrated, the range being not intended to be limiting of the invention, belonging to the present invention
Those skilled in the art can make various modifications or additions to described specific embodiment or using class
As mode substitute, but without departing from direction of the invention or beyond the scope of the appended claims.Ability
Domain it is to be understood by the skilled artisans that according to the technical essence of the invention to made by embodiment of above it is any modification, etc.
With replacement, improvement etc., protection scope of the present invention should be included in.
Claims (10)
1. a kind of detection system based on Review of Electrical Impedance Tomography, it is characterised in that: be located at leading on substrate to be detected including applying
Electrocoat, the multiple receiving electrodes being evenly distributed on the conductive coating are connect with any two receiving electrode by conducting wire
Power supply, be left data acquisition device that the receiving electrode connect by conducting wire, with the data acquisition device and power supply
The central processing unit of electrical connection.
2. a kind of detection system based on Review of Electrical Impedance Tomography as described in claim 1, it is characterised in that: the conductive painting
Layer includes the component of following mass fraction: 40-80 parts of Epocryl, 16-56 parts of diluent, and photoinitiator 0.5-
2.5 parts, 0.5-2.5 parts of photosensitizer, 0.1-1 parts of light stabilizer, 0.1-1 parts of defoaming agent, 0.1-1 parts of levelling agent, toughener 4-24
Part, 1-5 parts of silane coupling agent, 80-300 parts of conductive filler.
3. a kind of detection system based on Review of Electrical Impedance Tomography as claimed in claim 2, it is characterised in that: the diluent
For one of trimethylolpropane trimethacrylate, n-vinyl pyrrolidone and 1,4-butanediol diglycidyl ether or more
Kind.
4. a kind of detection system based on Review of Electrical Impedance Tomography as claimed in claim 3, it is characterised in that: described light-initiated
Agent is 1- hydroxycyclohexyl phenyl ketone, 2- methyl-1-(4- methyl mercapto phenyl)-2- Lin Ji-1- acetone and 2- hydroxyl-2- first
Base -1- phenyl -1- acetone is one such or a variety of;The photosensitizer is benzophenone, 2,4 dihydroxyl benzophenone and rice
Chi ketone is one such or a variety of.
5. a kind of detection system based on Review of Electrical Impedance Tomography as claimed in claim 2, it is characterised in that: the toughener
It is one such or a variety of for liquid polysulfide rubber, liquid silastic and polyethers.
6. a kind of detection system based on Review of Electrical Impedance Tomography as claimed in claim 2, it is characterised in that: the silane is even
Connection agent is gamma-aminopropyl-triethoxy-silane, vinyltriethoxysilane and γ-glycidyl ether oxygen propyl trimethoxy silicon
Alkane is one such or a variety of.
7. such as a kind of described in any item detection systems based on Review of Electrical Impedance Tomography of claim 2-6, it is characterised in that: institute
Stating conductive filler is that silver-coated copper powder, carbon nanotube and graphene are one such or a variety of.
8. a kind of detection method based on Review of Electrical Impedance Tomography, which is characterized in that described in any item using claim 1-7
Detection system, the specific steps are as follows:
S1: being equably applied to substrate material surface with brush for preparatory prepared conductive material, then by 2n reception electricity
Pole is evenly distributed on the conductive coating;The power supply that any two of them receiving electrode is connected by conducting wire, it is remaining
The 2n-2 receiving electrodes are connect by conducting wire with data acquisition device, and receiving electrode is denoted as 1,2,3.......2n;
S2: power supply is opened, and power supply output parameter is controlled by central processing unit, data acquisition device acquires coupled
Voltage between electrode is measured using adjacent actuators mode when power supply inputs perseverance into conductive coating by (1,2) electrode
Constant current acquires each group voltage in the electrodes such as (2,3), (3,4) ... (2n, 1), then permanent by the input of (2,3) electrode again
Constant current, the same voltage acquired on remaining each group electrode, and so on until circle collection is completed, each data 0.02-2s
Rate carry out data acquisition, when using 2n electrode, one group of data includes 2n × 2n=4n2A voltage;
S3: after external force carries out Slow loading to basis material, there is microcrack to basis material side, repeat step S2, measure
One group of data;
S4: central processing unit will load two groups of data that front and back is collected and be distributed progress EIT inverse problem meter to conductive coating potential difference
Calculate, combine modified Gauss-Newton iterative algorithm using software MATLAB, find most suitable parameter, realize electrical impedance at
Picture.
9. a kind of detection method based on Review of Electrical Impedance Tomography as claimed in claim 8, which is characterized in that modified
Gauss-Newton iterative algorithm are as follows:
Assuming that the conductivity of basis material damage front and back conductive coating is respectively σrefAnd σ, measurement voltage is respectively VrefAnd V, then
Vref=U (σref)+nref (1)
U (σ in formularef) it is conductive coating distribution of conductivity σ before basis material damagesrefBetween the observable quantity V of electrode potential
Computation model, nrefIt is the measurement noise before basis material damage;
The best uniform estimated value of conductive coating before basis material damages
The approximate error item ε obtained in measurement before basis material damage:
Then
N is measurement noise δ n=n-n after basis material damage in formularef;
The best uniform estimated value of conductive coating after basis material damage
L is about a known matrix for measuring noise statistics, p in formulaσ(σ) be total variance function can micro- approximation, pσ
(σ) can be obtained by formula (6):
In formulaIt is in finite element grid ΩkThe gradient of σ, N in uniteIt is first prime number in computational domain, α is a control
The parameter of penalty factor weight, β are p during an adjusting MAP estimation calculatesσThe parameter of (σ) gradient.
10. a kind of detection method based on Review of Electrical Impedance Tomography as claimed in claim 8, which is characterized in that central processing
System controls power supply, it is made to export the sinusoidal ac of 0.1-100mA, frequency 10-100000Hz.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111272830A (en) * | 2020-02-27 | 2020-06-12 | 成都飞机工业(集团)有限责任公司 | Method for detecting surface treatment quality of composite material |
DE102020119867A1 (en) | 2020-07-28 | 2022-02-03 | Karl Wörwag Lack- Und Farbenfabrik Gmbh & Co. Kg | Detection of occurring status changes |
CN116908547A (en) * | 2023-09-12 | 2023-10-20 | 江苏森标科技有限公司 | Non-contact silicon wafer resistivity online measurement method and system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1155497A (en) * | 1996-01-24 | 1997-07-30 | 赵东林 | Moisture resistant and electrostatic resistant packaging materials |
CN201477060U (en) * | 2009-09-07 | 2010-05-19 | 万瑾琳 | Crack detection device based on conductive paint |
CN105784790A (en) * | 2016-03-10 | 2016-07-20 | 重庆邮电大学 | Electrical impedance tomography-based metal plate flaw detection system |
CN105838310A (en) * | 2016-05-17 | 2016-08-10 | 西安工程大学 | Preparation method for UV photocuring onion carbon/silver covered copper conductive adhesive |
US20160340245A1 (en) * | 2015-05-22 | 2016-11-24 | The Regents Of The University Of California | Multifunctional cement composites with load-bearing and self-sensing properties |
CN208420772U (en) * | 2018-06-25 | 2019-01-22 | 中国地质大学(武汉) | A kind of electrode assembly based on EIT non-destructive testing technology detection cement base plate |
-
2019
- 2019-07-25 CN CN201910677553.3A patent/CN110412092A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1155497A (en) * | 1996-01-24 | 1997-07-30 | 赵东林 | Moisture resistant and electrostatic resistant packaging materials |
CN201477060U (en) * | 2009-09-07 | 2010-05-19 | 万瑾琳 | Crack detection device based on conductive paint |
US20160340245A1 (en) * | 2015-05-22 | 2016-11-24 | The Regents Of The University Of California | Multifunctional cement composites with load-bearing and self-sensing properties |
CN105784790A (en) * | 2016-03-10 | 2016-07-20 | 重庆邮电大学 | Electrical impedance tomography-based metal plate flaw detection system |
CN105838310A (en) * | 2016-05-17 | 2016-08-10 | 西安工程大学 | Preparation method for UV photocuring onion carbon/silver covered copper conductive adhesive |
CN208420772U (en) * | 2018-06-25 | 2019-01-22 | 中国地质大学(武汉) | A kind of electrode assembly based on EIT non-destructive testing technology detection cement base plate |
Non-Patent Citations (6)
Title |
---|
AKU SEPPÄNEN等: "基于电阻抗断层成像技术的传感皮肤在混凝土损伤检测中的应用研究", 《大坝与安全》 * |
M. HALLAJI等: "Electrical impedance tomography-based sensing skin for quantitative imaging of damage in concrete", 《SMART MATERIALS AND STRUCTURES》 * |
余佳干等: "混凝土缺陷检测的电阻成像约束反问题算法优化", 《重庆大学学报》 * |
张向宇: "《胶接与胶补》", 31 August 1979, 湖南科学技术出版社 * |
时愈等: "基于边缘增强总变分正则化盲泊松图像反卷积", 《华中科技大学学报(自然科学版)》 * |
李子东等: "《现代胶粘技术手册》", 31 January 2002, 新时代出版社 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111272830A (en) * | 2020-02-27 | 2020-06-12 | 成都飞机工业(集团)有限责任公司 | Method for detecting surface treatment quality of composite material |
CN111272830B (en) * | 2020-02-27 | 2021-06-08 | 成都飞机工业(集团)有限责任公司 | Method for detecting surface treatment quality of composite material |
DE102020119867A1 (en) | 2020-07-28 | 2022-02-03 | Karl Wörwag Lack- Und Farbenfabrik Gmbh & Co. Kg | Detection of occurring status changes |
CN116908547A (en) * | 2023-09-12 | 2023-10-20 | 江苏森标科技有限公司 | Non-contact silicon wafer resistivity online measurement method and system |
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