CN1492221A - Self diagnostic intellgient structure of fiber reinforced resin base composite material and method for self diagnosis - Google Patents
Self diagnostic intellgient structure of fiber reinforced resin base composite material and method for self diagnosis Download PDFInfo
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- CN1492221A CN1492221A CNA031253113A CN03125311A CN1492221A CN 1492221 A CN1492221 A CN 1492221A CN A031253113 A CNA031253113 A CN A031253113A CN 03125311 A CN03125311 A CN 03125311A CN 1492221 A CN1492221 A CN 1492221A
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Abstract
The intelligent structure consists of composite material structure layer and ingenious conducting fiber layer. The implementation method includes spreading short cut carbon fiber felt reinforced resin-based composite material onto the surface of the composite material layer to form the ingenious conducting fiber layer, detecting the variation in resistivity of the ingenious layer to monitor the stress and strain status and distribution in the composite material structure and to determine the deformation degree and position caused by the load effect. The said method has high result repeatability, can early warn the destruction and is practical.
Description
Technical field
The present invention relates to a kind of compound substance self diagnosis, detect intelligence structure and implementation method certainly, relate in particular at composite structural laminate surface laying conductive fiber and strengthen the alert and resourceful layer of polymer matrix composites, by on alert and resourceful layer, laying electrode, form the two dimensional surface sensing network, the dynamic monitoring changes in resistance reaches the Real-time and Dynamic self diagnosis, detects the method for purpose certainly.
Technical background
20th century the mid-80, people have proposed the notion of intellectual material.Intellectual material requires the perception of material bodies assembly, driving and information processing in one, form similar biomaterial such have an intelligent attributes, possess from functions such as perception, self diagnosis, selfreparings.
Self diagnosis intelligent composite structure is an important branch of smart material and structure research.The self diagnosis smart material and structure is mainly used in the important structure system.When all having the requirement of integrality, people to expect that the blind crack on the cracking of material internal and damage and surface forms, can detect voluntarily for important structure; Before forming major accident or inner variation, can effectively predict and report to the police, promptly require in use can damage estimation the situation of material structure inside.For example very strict to the safety requirements of aircraft such as aircraft, because delivery vehicles such as aircraft have all used compound substance in light weight, that intensity is high on certain proportion, and compound substance is in process of production because its technologic instability, inner meeting defectiveness, and after the load that withstands shocks, even material surface is normal, its inside also may exist delamination, fibre breakage equivalent damage phenomenon.If can forecast the position and the degree of damage as early as possible, then can avoid taking place major accident.
In the actual use of compound substance, the monitoring of composite property and damage are main difficult problems that detects.Self diagnosis requires in use can assess the mechanical property of material internal, has the function of real time on-line monitoring.The sensing element that often uses in self diagnosis material and structure has light transmitting fiber, piezoelectric element, resistance strain gage etc. at present.Sensing element is imbedded in the compound substance, utilize sensing network that structure is discerned, analyzed and handle from the information of measuring under situations such as damage, fatigue, impact, conclusion is sent into supervision or control system, thereby solve the intensity monitoring of compound substance effectively, for safety, use compound substance that quantitative analysis foundation is provided reliably.But the adding of sensing element has destroyed the structure of material itself, and the performance of material is had some bad influences.
Someone has studied the alert and resourceful characteristic of carbon fibre composite, by examination changes in resistance reflection distortion of materials situation.Research in the past all is that carbon fiber is directly added in the material, like this, can damage material itself.
Summary of the invention
The objective of the invention is to overcome above-mentioned the deficiencies in the prior art, provide a kind of fiber-reinforced resin matrix compound material Self diagnostic Smart Structure to reach the method that is used as self diagnosis.
Realize a kind of fiber-reinforced resin matrix compound material Self diagnostic Smart Structure of the object of the invention, constitute by composite structural laminate and the alert and resourceful layer of conductive fiber, characteristics are that the alert and resourceful layer of conductive fiber closely is laid on the composite structural laminate surface, and should be on the tension face of composite structural laminate by the alertness layer.
The alert and resourceful layer of described conductive fiber is that the chopped carbon fiber felt strengthens polymer matrix composites, and it is made of the number of plies, thickness and the laying direction of the chopped carbon fiber felt that designs, this alertness layer resistance, mechanical property isotropy everywhere.
The matrix resin of alert and resourceful layer of the present invention is selected for use and is same as the composite structural laminate resin, can be unsaturated polyester resin, epoxy resin or phenolics.
Fiber-reinforced resin matrix compound material Self diagnostic Smart Structure of the present invention is as the method for self diagnosis, its step is, (1) alert and resourceful layer is laid on the composite structural laminate surface that needs monitoring, on composite structural laminate, arrange a plurality of point electrodes, design the conductive path that connection electrode forms simultaneously, make these conductive paths form two dimensional surface sensor monitoring network, (2) by digital hyperchannel resistance measurement instrument, gather the resistance data on the conductive path, the data input computing machine of gathering is carried out analyzing and processing, determine the changes in resistance situation, thus the stress and the deformation of monitoring compound substance each several part.
Described fiber-reinforced resin matrix compound material Self diagnostic Smart Structure the steps include: as the method for self diagnosis
(1) records initial resistivity value R between each electrode earlier
0,
(2) each interelectrode resistance of real-time follow-up is R, and what record resistance value is changed to Δ R=R-R
0,
(3) by resistance change rate Δ R/R on each bar path
0Variation, discern the size and the particular location of load.
What the present invention used is the chopped carbon fiber felt, prepare certain thickness carbon fiber resin matrix composite,, it closely is laid on the composite material surface that needs monitoring as alert and resourceful layer, can not damage material itself, need not bury sensor underground at material internal.The chopped carbon fiber felt itself has isotropy preferably, and electric current is pressed streamlined flow substantially between two electrodes.When compound substance zone load changed, compound substance and alert and resourceful layer all can produce corresponding distortion, and distortion can change the resistance of alert and resourceful layer conductive path.When conductive path process compound substance tension face, the resistance increment on the conductive path will inevitably become greatly, and less owing to the distortion that produces from load area conductive channel far away, the resistance increment is inevitable also less.In addition, the collection of resistance data is that layout is many to point electrode, forms netted path, and the two dimensional surface network channel can design arbitrarily as required.
Description of drawings
Fig. 1 is the compound substance Self diagnostic Smart Structure
Fig. 2 is the proving installation synoptic diagram
Fig. 3 is that 8 electrode rhombuses connect the network channel layout
Fig. 4 is two path network channels of 4 electrodes layout
Fig. 5 is 8 electrode network channel layout
A is a composite structural laminate among Fig. 1, and B is alert and resourceful layer, and numeral is an electrode among Fig. 3,4,5, and circle is for loading the zone.
Embodiment
Further specify the preparation of alert and resourceful layer and the layout method of electrode below in conjunction with embodiment:
The structural sheet compound substance is the glass fiber reinforced epoxy resin compound substance, in order to make alert and resourceful layer and structural sheet interface in conjunction with closely, selects identical resin matrix for use.The prescription of alert and resourceful layer is as follows:
| Conductive material | Resin | |
| Title | The chopped carbon fiber felt | The 3201# vinylite |
| The place of production | Abundant auspicious glass fibre factory breaks a seal | Xinhua Resin Factory, Shanghai |
The chopped carbon fiber felt adopts four layer of 90 degree hand of spiral shop layer, and alert and resourceful layer isotropy is better.Lay 8 electrodes in compound substance periphery symmetry, connect conductive path and form two-dimentional sensing network, the load variations situation in five zones of monitoring.The mode of rhombus is adopted in the connection of electrode, as shown in Figure 3.
Embodiment 2
The structural sheet compound substance is the glass fiber reinforced epoxy resin compound substance.The prescription of alert and resourceful layer is as follows:
| Conductive material | Resin | |
| Title | The chopped carbon fiber felt | The 3201# vinylite |
| The place of production | Abundant auspicious glass fibre factory breaks a seal | Xinhua Resin Factory, Shanghai |
The chopped carbon fiber felt is two-layer altogether, differs 180 degree shop layers.Adopt the network design of 4 electrodes, two paths, the load variations situation in five zones of monitoring.As shown in Figure 4.
The structural sheet compound substance is the glass fiber reinforced unsaturated polyester resin compound substance, and size is 450mm * 350mm.The prescription of alert and resourceful layer is as follows:
| Conductive material | Resin | |
| Title | The chopped carbon fiber felt | Unsaturated polyester resin 191# |
| The place of production | Abundant auspicious glass fibre factory breaks a seal | Resin processing plant of Wuhan University of Technology |
The chopped carbon fiber felt is two-layer altogether, differs 180 degree shop layers.Lay 8 electrodes in compound substance periphery symmetry, connect conductive path and form two-dimentional sensing network, the load variations situation in five zones of monitoring.As shown in Figure 5.
In the above among three embodiment, when some zones because the variation of load when making distortion big, by near the resistance change rate Δ R/R of passage this zone
0Change bigger; And away from the resistance change rate Δ R/R of this regional channel
0Change less.So the network design and the analytical approach of the composite material intelligent structure of design and collection resistance variations data are successful.
Claims (5)
1, a kind of fiber-reinforced resin matrix compound material Self diagnostic Smart Structure, it is characterized in that this intelligence structure is made of composite structural laminate and the alert and resourceful layer of conductive fiber, the alert and resourceful layer of conductive fiber closely is laid on the composite structural laminate surface, and should be on the tension face of composite structural laminate by the alertness layer.
2, compound substance Self diagnostic Smart Structure according to claim 1 is characterized in that the alert and resourceful layer of described conductive fiber is that the chopped carbon fiber felt strengthens polymer matrix composites, this alertness layer resistance, mechanical property isotropy everywhere.
3, compound substance Self diagnostic Smart Structure according to claim 1, the matrix resin that it is characterized in that described alert and resourceful layer is selected for use and is same as the composite structural laminate resin, can be unsaturated polyester resin, epoxy resin or phenolics.
4, the described fiber-reinforced resin matrix compound material Self diagnostic Smart Structure of claim 1 is characterized in that as the method for self diagnosis step is:
(1) alert and resourceful layer is laid on the composite structural laminate surface that needs monitoring, on composite structural laminate, arranges and design the conductive path that connection electrode forms simultaneously by a plurality of point electrodes, make these conductive paths form two dimensional surface sensor monitoring network;
(2) by digital hyperchannel resistance measurement instrument, gather the resistance data on the conductive path, the data input computing machine of gathering is carried out analyzing and processing, determine the changes in resistance situation, thus the stress and the deformation of monitoring material each several part.
5, self-diagnosing method according to claim 4 is characterized in that step is:
1), at first records initial resistivity value R between each electrode
0,
2), each interelectrode resistance of real-time follow-up is R, what record resistance value is changed to Δ R=R-R,
3), by resistance change rate Δ R/R on each bar path
0Variation, discern the size and the particular location of load.
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|---|---|---|---|
| CN 03125311 CN1187761C (en) | 2003-08-22 | 2003-08-22 | Self diagnostic intellgient structure of fiber reinforced resin base composite material and method for self diagnosis |
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| CN 03125311 CN1187761C (en) | 2003-08-22 | 2003-08-22 | Self diagnostic intellgient structure of fiber reinforced resin base composite material and method for self diagnosis |
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Cited By (14)
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|---|---|---|---|---|
| CN101551350B (en) * | 2009-05-18 | 2012-07-11 | 南昌航空大学 | Method of establishing damnification self-diagnosis system for carbon fiber enhancement resin base composite material |
| CN103196597A (en) * | 2013-03-13 | 2013-07-10 | 东北大学 | Viscoelastic pressure-sensitive material compression stress monitoring method based on three levels of interpolations |
| CN104931542A (en) * | 2015-06-18 | 2015-09-23 | 沈阳航空航天大学 | Method for monitoring composite material solidification process through carbon nano tube coating glass fibers |
| CN105157889A (en) * | 2015-09-11 | 2015-12-16 | 江苏大学 | Sensor based on carbon-fibre composite material |
| CN105364100A (en) * | 2015-12-25 | 2016-03-02 | 富耐克超硬材料股份有限公司 | Composite material for cutter bar and cutter bar |
| CN105865684A (en) * | 2016-04-06 | 2016-08-17 | 大连理工大学 | Comprehensive residual stress ultralow-temperature detection method of resin base composite material |
| CN107796544A (en) * | 2017-09-26 | 2018-03-13 | 浙江理工大学 | A kind of preparation method of measuring electrode |
| CN107921974A (en) * | 2015-09-10 | 2018-04-17 | 川崎重工业株式会社 | The manufacture method of the electroded leaf spring of railcar bogie |
| CN108362738A (en) * | 2018-02-02 | 2018-08-03 | 山西省交通科学研究院 | Asphalt pavement structure damage alarm method based on the quick characteristic of power-motor |
| CN109762186A (en) * | 2019-01-04 | 2019-05-17 | 华南理工大学 | A kind of fibre-reinforced high molecular basis material and the preparation method and application thereof based on interface response |
| WO2019119661A1 (en) * | 2017-12-22 | 2019-06-27 | 深圳光启超材料技术有限公司 | Measurement film, manufacturing method of measurement film, and method for measuring strain field of plane |
| CN110412090A (en) * | 2018-04-30 | 2019-11-05 | 空中客车德国运营有限责任公司 | Structure member and for detect damage system and method |
| CN111928893A (en) * | 2020-07-31 | 2020-11-13 | 华中科技大学 | On-line monitoring method and monitoring device for whole process of carbon fiber composite material |
| CN113267541A (en) * | 2021-06-30 | 2021-08-17 | 华中科技大学 | Capacitive online monitoring product and method for mixed continuous fiber composite material |
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| CN102850560A (en) * | 2012-09-17 | 2013-01-02 | 哈尔滨工业大学 | Preparation method of carbon-fiber composite material with self-repair interface and self-repair method thereof |
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- 2003-08-22 CN CN 03125311 patent/CN1187761C/en not_active Expired - Fee Related
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| CN101551350B (en) * | 2009-05-18 | 2012-07-11 | 南昌航空大学 | Method of establishing damnification self-diagnosis system for carbon fiber enhancement resin base composite material |
| CN103196597A (en) * | 2013-03-13 | 2013-07-10 | 东北大学 | Viscoelastic pressure-sensitive material compression stress monitoring method based on three levels of interpolations |
| CN104931542A (en) * | 2015-06-18 | 2015-09-23 | 沈阳航空航天大学 | Method for monitoring composite material solidification process through carbon nano tube coating glass fibers |
| CN107921974A (en) * | 2015-09-10 | 2018-04-17 | 川崎重工业株式会社 | The manufacture method of the electroded leaf spring of railcar bogie |
| CN107921974B (en) * | 2015-09-10 | 2019-07-09 | 川崎重工业株式会社 | The manufacturing method of the electroded leaf spring of railcar bogie |
| CN105157889A (en) * | 2015-09-11 | 2015-12-16 | 江苏大学 | Sensor based on carbon-fibre composite material |
| CN105157889B (en) * | 2015-09-11 | 2017-11-17 | 江苏大学 | A kind of sensor based on carbon fibre composite |
| CN105364100A (en) * | 2015-12-25 | 2016-03-02 | 富耐克超硬材料股份有限公司 | Composite material for cutter bar and cutter bar |
| CN105865684B (en) * | 2016-04-06 | 2018-08-21 | 大连理工大学 | A kind of comprehensive residual stress low temperature detection method of polymer matrix composites |
| CN105865684A (en) * | 2016-04-06 | 2016-08-17 | 大连理工大学 | Comprehensive residual stress ultralow-temperature detection method of resin base composite material |
| CN107796544A (en) * | 2017-09-26 | 2018-03-13 | 浙江理工大学 | A kind of preparation method of measuring electrode |
| WO2019119661A1 (en) * | 2017-12-22 | 2019-06-27 | 深圳光启超材料技术有限公司 | Measurement film, manufacturing method of measurement film, and method for measuring strain field of plane |
| CN108362738A (en) * | 2018-02-02 | 2018-08-03 | 山西省交通科学研究院 | Asphalt pavement structure damage alarm method based on the quick characteristic of power-motor |
| CN110412090A (en) * | 2018-04-30 | 2019-11-05 | 空中客车德国运营有限责任公司 | Structure member and for detect damage system and method |
| CN109762186A (en) * | 2019-01-04 | 2019-05-17 | 华南理工大学 | A kind of fibre-reinforced high molecular basis material and the preparation method and application thereof based on interface response |
| CN111928893A (en) * | 2020-07-31 | 2020-11-13 | 华中科技大学 | On-line monitoring method and monitoring device for whole process of carbon fiber composite material |
| CN111928893B (en) * | 2020-07-31 | 2021-07-27 | 华中科技大学 | On-line monitoring method and monitoring device for whole process of carbon fiber composite material |
| CN113267541A (en) * | 2021-06-30 | 2021-08-17 | 华中科技大学 | Capacitive online monitoring product and method for mixed continuous fiber composite material |
| CN113267541B (en) * | 2021-06-30 | 2023-09-22 | 华中科技大学 | Capacitive on-line monitoring product and method for mixed continuous fiber composite material |
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| CN1187761C (en) | 2005-02-02 |
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