CN201464378U - Intelligent structure self-repairing and self-diagnosis system based on photorepair technology - Google Patents
Intelligent structure self-repairing and self-diagnosis system based on photorepair technology Download PDFInfo
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- CN201464378U CN201464378U CN2009200405943U CN200920040594U CN201464378U CN 201464378 U CN201464378 U CN 201464378U CN 2009200405943 U CN2009200405943 U CN 2009200405943U CN 200920040594 U CN200920040594 U CN 200920040594U CN 201464378 U CN201464378 U CN 201464378U
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Abstract
The utility model relates to an intelligent structure self-repairing and self-diagnosis system based on the photorepair technology, which comprises a photorepair module, an optical fiber sensing network module, a signal transmission and processing module and a damage positioning module. The photorepair module comprises repairing reinforced fibers of internal photo-curing repairing agent , fibers at the front edge of an expanded crack break when cracks of material occur, the photo-curing repairing agent infiltrates into the damaged crack, sunlight is adopted as the supplementary energy to realize the damage self-repairing of material; an input terminal of the signal transmission and processing module is connected with the optical fiber sensing network module, an output terminal is connected with the damage positioning module, the optical fiber sensor is adopted as the signal transmission and sensing element, so as to realize the self-diagnosis of the state of the intelligent structure in combination with the nerve network and the digital signal processing technology. The intelligent structure self-repairing and self-diagnosis system has the advantages of strong practicability, low cost, environmental protection, energy conservation, etc., and provides an effective solution for the realization of self-repairing and self-diagnosis of components made of composite material.
Description
Technical field
A kind of novel intelligence structure selfreparing and self-diagnosable system of the present invention based on light repairing technology, in conjunction with technology such as photocuring technology, optical fiber sensing technology, the structural mechanic of complex material and digital signal processing, utilize solar energy realized compound substance from callus, and realized the health monitoring of composite structure belonging to a kind of brand-new intelligence structure selfreparing and self diagnosis in conjunction with neural network and Digital Signal Processing.Especially the present invention propose with sunshine as energy supply, the photocuring renovation agent is as the material damage selfreparing solution of material supply, use widely for composite element is safer provide a kind of practical, cost is low, the effective way of environmental protection and energy saving.
Background technology
The compound substance that is widely used in aerospace field is because the diversity and the complicacy of its component, in making machine-shaping and use, its surface and inside inevitably all kinds of defectives and damage can occur, especially, the generation and the expansion of micro-crack damage will cause the material monolithic performance decrease, cause component failure, shorten the serviceable life of material, consequence that then can bringing on a disaster property when serious.
Late 1980s, the U.S. and Japanese scientist incorporate bionics in the composite study, have proposed the new ideas of intelligence structure.Intelligence structure is meant from bionic viewpoint design and makes compound substance, makes material have the function of perception and selfreparing.At present, the intelligent self-repair material with self diagnosis, self-repair function has become one of research emphasis of field of new, and the core of selfreparing is energy supply and material supply, and its process is finished by the growth activity factor.The principle of mimic biology body wound healing makes compound substance can carry out selfreparing to inside or outer damage, thereby removes a hidden danger that the physical strength of reinforcing material increases the service life.
At present, carrying out number of research projects aspect composite material health monitoring and the diagnosis both at home and abroad, and make certain gains, method mainly is at material embedded set sensor array, and the inline diagnosis structure reaches owing to the distortion that external force, fatigue etc. produce, crackle damage etc. in processing, curing, shaping.Yet, also be in the starting stage for the research of intelligent composite damage selfreparing aspect.At present, the method for research use mainly contains: hot reversible crosslink reaction method, liquid core fibre method and microcapsule method.Hot reversible crosslink reaction method is mainly realized injury repair by the mode of heating, and other performances that this will damage material for example cause grain growth etc., and reparation speed is slow, and complex process is unfavorable for the application and the development of intelligence structure.Liquid core fibre method and microcapsule method are meant imbeds fiber or the microcapsules that comprise renovation agent in the intelligent composite matrix, form intelligent bionical self-healing network in composite inner, when crackle appears in compound substance, part liquid core fibre or microcapsules rupture, renovation agent flows out and infiltrates the crack, makes the affected area healing to realize self-repair function.The employed renovation agent of existing literature data is two component adhesive, in the design renovation agent and catalyzer are placed respectively in fiber (or capsule) and the matrices of composite material, after fiber (or capsule) breaks, guarantee that renovation agent can touch catalyzer, then the branch bulk density of catalyzer in matrices of composite material must be enough big.Therefore, the service efficiency of catalyzer is very low, and bigger catalyst concn also has certain influence to the performance of intelligent composite.Therefore, no matter be restorative procedure or repair materials, very big research and development space is all arranged, it is to be solved to exist a lot of problems to have.
Summary of the invention
Problem in view of above-mentioned prior art existence, the objective of the invention is to develop a kind of intelligence structure with quick selfreparing and real-time online self-diagnostic function. intelligence structure selfreparing of the present invention and self-diagnosable system, it comprises: light is repaired module, the optical fiber sensing network module, signal transmission and processing module and damage locating module. described light is repaired module and is adopted single-component photocureable cementing agent and remediation intensification fiber respectively as photocuring renovation agent and renovation agent carrier, change present use dual-component binder and microcapsules and carried out the deficiency that material damage is repaired, use the bi-component cementing agent to realize the material selfreparing, must depend on contact and reaction between the component, must reduce the reliability of repairing like this, but also limited the restoring area of damage simultaneously, adopt the single-component photocureable cementing agent not only to solve this problem, and it is fast fully to have manifested the light-curing adhesive curing rate, the characteristics that can " in good time solidify ", and adopt sunshine as the supply energy, make the self-repair procedure of this intelligence structure be independent of control system, have the class living body feature of " spontaneous " and " instinct ".
The input end of described signal transmission and processing module links to each other with the optical fiber sensing network module, output terminal links to each other with the damage locating module, adopt the mode of omnidirectional distribution that optical fiber is adhered to intelligence structure surface formation sensing network, be used to respond to deformation and damage information with transferring structure, by opto-electronic conversion and amplifying circuit light signal is converted to electric signal, again electric signal is transferred to digital signal processor, to be transferred to the damage locating module through the signal of digital filtering at last, in the damage locating module, realize the status monitoring of material structure by neural network algorithm.
1, technical matters
The technical problem to be solved in the present invention mainly comprises:
(1) light is repaired module
This module comprises: be embedded in the remediation intensification fiber of material internal, and built-in photocuring renovation agent.The remediation intensification fiber is as the carrier of photocuring renovation agent, to guarantee that photocuring reaction does not take place the photocuring renovation agent that is in fibrous inside on the one hand, to guarantee that on the other hand fiber and matrix have favorable compatibility, must and imbed volume ratio research to fiber coat to fulfill this requirement;
(2) optical fiber sensing network module
This module is used to respond to deformation and the damage information with transferring structure, therefore, need study the structure and the distribution of the optical fiber sensing network of this module;
(3) signal transmission and processing module
Signal transmission and processing module relate to optical fiber sensing network, opto-electronic conversion and amplifying circuit, the design of digital signal processor and SCI-PC communication interface circuit.By the light signal that carries configuration state information of optical fiber sensing network collection, must be by becoming electric signal after the opto-electronic conversion, and through amplifying circuit, the supplied with digital signal processor is sent to the damage locating module through the SCI-PC communication interface again;
(4) damage locating module
The signal that comprises Intelligent Composite configuration state information is after filtering, through the SCI-PC communication interface, be sent to the damage locating module, the damage locating module adopts mathematical model and algorithm that signal is handled, the health monitoring of implementation structure, and when damage appears in structure, judge damage position, carry out early warning.How finishing the location of damage position, is the research emphasis of self diagnosis.
2, technical scheme
In order to solve the problems of the technologies described above, the present invention has adopted following technical scheme:
(1) technical scheme 1: light is repaired module.This module is made up of the remediation intensification fiber that places material internal (volume ratio 15%), the surface of remediation intensification fiber is photomask agent (carbon black) and coupling agent (KH560) coating, the remediation intensification fibrous inside is the photocuring renovation agent, and this module is used for the quick reparation of implementation structure damage;
(2) technical scheme 2: the optical fiber sensing network module.The sensor fibre of this module adheres to the intelligence structure surface in the omnidirectional distribution mode, constitutes optical fiber sensing network, is used to respond to deformation and damage information with transferring structure;
(3) technical scheme 3: signal transmission and processing module.This module links to each other with the optical fiber sensing network module, with high speed digital signal processor (TMS320LF2407) is core processor, be equipped with peripheral opto-electronic conversion (adopting phototriode L-31ROPT1D2), voltage amplification (adopting integrated operational amplifier LM324), filtering, analog to digital conversion a series of processing such as (adopting the built-in analog-to-digital conversion module ADC of DSP), the output intensity conversion of signals of optical fiber sensing network is become data-signal, finally this signal is transferred to the damage locating module by serial communication interface circuit (realizing the SCI-PC serial data communication) with MAX232 chip and the built-in serial communication interface module SCI of DSP;
(4) technical scheme 4: the damage locating module.This damage locating module comprises probabilistic neural network algorithm (adopting smooth coefficients is 0.25, and sample number is 30), according to the configuration state information that the monitoring main frame receives, the damage location is handled and realized to the signal of intelligence structure state.
3, beneficial effect
Intelligence structure selfreparing and self-diagnosable system based on light repairing technology involved in the present invention, have the special-purpose light source of repairing need not be provided, only just can realize the feature of the quick selfreparing of material by natural solar energy, achievement in research can improve the performance of material greatly and prolong its serviceable life, have environmental protection, characteristics such as energy-conservation and efficient, and can the integrated and lightness of implementation structure.The present invention is based on photocuring technology, proposed a kind of novel concept that adopts nature luminous energy to realize the material selfreparing, have superiority, for the selfreparing of intelligent composite structure and the research of self diagnosis provide a new solution than existing classic method.
Description of drawings
Fig. 1 is based on the intelligence structure selfreparing of light repairing technology and self-diagnosable system synoptic diagram
Fig. 2 is the Experimental equipment of preparation prepolymer
Fig. 3 is the absorption spectrum of composite photoinitiator
Fig. 4 is the optical fiber sensing network module diagram
Fig. 5 is signal transmission and processing module circuit diagram
Fig. 6 is an intelligent structure self-healing process synoptic diagram (early injury)
Fig. 7 is an intelligent structure self-healing process synoptic diagram (injury repair)
Among the figure: 1. light source; 2. optical fiber sensing network module; 3. light is repaired module; 301. fiber; 302. photocuring renovation agent; 4. signal transmits and processing module; 401. opto-electronic conversion and amplification; 402. analog to digital conversion; 403. signal Processing; 404. data communication; 5. damage locating module; 6. stirring machine; 7. there-necked flask; 8. separating funnel; 9. water-bath; 10. crackle
Embodiment
Embodiment 1: Fig. 1 has provided the illustrative examples of an intelligence structure selfreparing of the present invention and self-diagnosable system.As shown in Figure 1: the present invention includes: light source (1), optical fiber sensing network module (2), light are repaired module (3), signal transmission and processing module (4) and damage locating module (5).
Wherein, light reparation module (3) comprising: fiber (301) and photocuring renovation agent (302); Signal transmission and processing module (4) comprising: opto-electronic conversion and amplification (401), analog to digital conversion (402), signal Processing (403) and data communication (404).
Embodiment 2: Fig. 2,3,6,7 have provided the embodiment of a schematic intelligence structure selfreparing of the present invention.
In an embodiment, with epoxy resin and acrylic acid is starting material, at catalyzer (N, the N-dimethyl benzylamine) under the effect, through 5 hours 100 ℃ of constant temperature esterifications prepare epoxy acrylic ester prepolymer (its viscosity is: 6800mPas (25 ℃)), as the base material (Fig. 2 is the Experimental equipment of prepolymer preparation) of photocuring renovation agent; With light trigger 1173 (2-hydroxy-2-methyl-1-phenylacetone) and TPO (two 2,4,6-trimethylbenzoyl diphenyl phosphine oxide) by mass ratio preparation in 1: 1 complex light initiator system (Fig. 3 is the absorption spectrum of composite photoinitiator, and horizontal ordinate is a wavelength, and ordinate is an absorbance); With prepolymer (epoxy acrylate), reactive diluent (methyl methacrylate) and light trigger (by 1173 and the composite photoinitiator of TPO preparation) 15: 4: 1 by mass percentage preparation photocuring renovation agents, the viscosity of prepared photocuring renovation agent in the time of 25 ℃ is 5983mPas;
Adopt carbon black and KH560 (γ-glycidol ether propyl trimethoxy silicane) the remediation intensification fiber to be carried out the surface coating processing respectively, and the photocuring renovation agent is placed reinforcing fiber inside as photomask agent and coupling agent.Invention adopts aftertreatment and transfer method that fiber is imbedded in the matrices of composite material, and matrix material is an epoxy resin, imbeds volume ratio and adopts 15%, and Fig. 6 and Fig. 7 are from callus process synoptic diagram.When crackle (10) appears in structure, be in the stressed fracture of fiber in crackle forward position as shown in the figure, photocuring renovation agent (302) flow to crackle (10) and locates, and under solar light irradiation, the photocuring renovation agent that infiltrates into crackle solidifies and bonding reparation crackle fast.
Embodiment 3: Fig. 4,5 have provided the embodiment of a concrete intelligence structure sensing of the present invention, signal transmission and processing module.
In an embodiment, Fig. 4 is for to adhere to the optical fiber sensing network module of Intelligent Composite body structure surface (among the figure: X according to omnidirectional distribution
1~X
8Represent 8 sensor fibres of omnidirectional distribution respectively, this sensing network comprises 16 sensitive zones), be used to respond to deformation and damage information with transferring structure;
Fig. 5 transmits for signal and processing module (4) comprising: opto-electronic conversion and amplification (401), analog to digital conversion (402), signal Processing (403) and data communication (404).Opto-electronic conversion and amplification (401) adopt phototriode L-31ROPT1D2 (Q1), adjustable resistance (R1=28K Ω) and the current-limiting resistance (R2=20k Ω) of no base lead that the light signal that carries structural health information is carried out opto-electronic conversion, the photocurrent of phototriode is converted to voltage, because the voltage of opto-electronic conversion output is not ideal enough, therefore adopt operating voltage be ± Voltage Series negative-feedback circuit that the dual-in-line package four input integrated operational amplifier LM324 of 5V form amplifies electric signal.Wherein, be respectively the nonlinear distortion that the resistance R 5 of 51k Ω and 60k Ω and feedback branch that R6 forms are used to reduce amplifier by resistance; Balance resistance R3 gets R4//(R5+R6), is used to reduce the size of the input offset current of amplifier.Filter capacitor (C=2.2 μ F) is used to eliminate the power supply instability for circuit-formed interference.The enlargement factor of circuit is A=Vout/Vin=1+ (R5+R6)/R4;
Electric signal through amplifying transfers to the ADCIN00 passage of built-in 10 analog-to-digital conversion modules (402) of digital signal processor TMS320LF2407, after in digital signal processor, finishing digital-to-analog conversion and signal Processing (403), adopt SCI-PC serial data communication (404) circuit to realize that the serial port of TMS320LF2407 and RS_232 carries out asynchronous communication.This circuit has adopted the chip for driving MAX232 that meets the RS_232 standard, carries out serial communication.The MAX232 chip comprises that by+5V power supply two are accepted and sendaisle, and has characteristics such as low in energy consumption, integrated level height.Because TMS320LF2407 employing+3.3V power supply, so between MAX232 and TMS320LF2407, add the typical electrical level matching circuit of forming by diode D1 (1N5819) and three resistance (R7=10K Ω, R8=1K Ω, R9=2K Ω).
Claims (2)
1. intelligence structure selfreparing and self-diagnosable system based on a light repairing technology is characterized in that this system comprises:
(1) light is repaired module, this module is fibrous by the remediation intensification that is embedded in material internal, the surface of remediation intensification fiber is photomask agent and coupling agent coating, and the remediation intensification fibrous inside is the photocuring renovation agent, and this module is used for the quick reparation of implementation structure damage;
(2) optical fiber sensing network module, this module adheres to the intelligence structure surface with sensor fibre according to omnidirectional distribution, is used to respond to deformation and damage information with transferring structure;
(3) signal transmission and processing module, this module links to each other with the optical fiber sensing network module, carry the light signal of configuration state information in the optical fiber, realize opto-electronic conversion through phototriode, the Voltage Series negative-feedback circuit that adopts dual-in-line package four input integrated operational amplifiers to form amplifies electric signal, be digital signal with electric signal via the A/D module converts of digital signal processor again, after in digital signal processor, finishing digital filtering, finally this signal is transferred to the damage locating module by serial communication interface circuit;
(4) damage locating module, this damage locating module adopts probabilistic neural network algorithm, and the configuration state information that receives according to the monitoring main frame positions the damage of intelligence structure.
2. intelligence structure selfreparing according to claim 1 and self-diagnosable system is characterized in that, digital signal processor DSP has analog-to-digital conversion module (ADC) and serial communication interface module (SCI).
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CN104852716A (en) * | 2015-05-20 | 2015-08-19 | 西安西热控制技术有限公司 | Thermal power plant digital input terminal board and method |
CN105467835A (en) * | 2016-01-06 | 2016-04-06 | 南京航空航天大学 | Fuzzy control algorithm-based composite structure damage self healing system and self healing method |
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