CN112522813B - Graphene-based hybrid multilayer structure fiber material and preparation and application thereof - Google Patents

Graphene-based hybrid multilayer structure fiber material and preparation and application thereof Download PDF

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CN112522813B
CN112522813B CN202011472775.0A CN202011472775A CN112522813B CN 112522813 B CN112522813 B CN 112522813B CN 202011472775 A CN202011472775 A CN 202011472775A CN 112522813 B CN112522813 B CN 112522813B
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朱纪欣
胡云峰
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Nanjing Tech University
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    • D—TEXTILES; PAPER
    • D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01F—CHEMICAL FEATURES IN THE MANUFACTURE OF ARTIFICIAL FILAMENTS, THREADS, FIBRES, BRISTLES OR RIBBONS; APPARATUS SPECIALLY ADAPTED FOR THE MANUFACTURE OF CARBON FILAMENTS
    • D01F9/00—Artificial filaments or the like of other substances; Manufacture thereof; Apparatus specially adapted for the manufacture of carbon filaments
    • D01F9/08—Artificial filaments or the like of other substances; Manufacture thereof; Apparatus specially adapted for the manufacture of carbon filaments of inorganic material
    • D01F9/12—Carbon filaments; Apparatus specially adapted for the manufacture thereof
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    • D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
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    • D06M11/00—Treating fibres, threads, yarns, fabrics or fibrous goods made from such materials, with inorganic substances or complexes thereof; Such treatment combined with mechanical treatment, e.g. mercerising
    • D06M11/58—Treating fibres, threads, yarns, fabrics or fibrous goods made from such materials, with inorganic substances or complexes thereof; Such treatment combined with mechanical treatment, e.g. mercerising with nitrogen or compounds thereof, e.g. with nitrides
    • D06M11/63—Treating fibres, threads, yarns, fabrics or fibrous goods made from such materials, with inorganic substances or complexes thereof; Such treatment combined with mechanical treatment, e.g. mercerising with nitrogen or compounds thereof, e.g. with nitrides with hydroxylamine or hydrazine
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    • D06M11/00—Treating fibres, threads, yarns, fabrics or fibrous goods made from such materials, with inorganic substances or complexes thereof; Such treatment combined with mechanical treatment, e.g. mercerising
    • D06M11/73—Treating fibres, threads, yarns, fabrics or fibrous goods made from such materials, with inorganic substances or complexes thereof; Such treatment combined with mechanical treatment, e.g. mercerising with carbon or compounds thereof
    • D06M11/74—Treating fibres, threads, yarns, fabrics or fibrous goods made from such materials, with inorganic substances or complexes thereof; Such treatment combined with mechanical treatment, e.g. mercerising with carbon or compounds thereof with carbon or graphite; with carbides; with graphitic acids or their salts
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    • D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06M—TREATMENT, NOT PROVIDED FOR ELSEWHERE IN CLASS D06, OF FIBRES, THREADS, YARNS, FABRICS, FEATHERS OR FIBROUS GOODS MADE FROM SUCH MATERIALS
    • D06M2101/00—Chemical constitution of the fibres, threads, yarns, fabrics or fibrous goods made from such materials, to be treated
    • D06M2101/40—Fibres of carbon

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Abstract

The invention discloses a preparation method of a graphene-based hybrid multilayer structure fiber material and application of a sensor material, and belongs to the technical field of preparation of functional nano materials. The graphene oxide fiber crosslinked by transition metal ions is prepared by a wet spinning technology, the strength and the conductivity of the fiber are improved by chemical reduction, and then the graphene oxide fiber is mixed with a proper amount of melamine in an inert gas atmosphere to carry out thermal reduction in-situ catalytic growth of carbon nanotubes to obtain the graphene-based hybrid multilayer structure fiber. The material prepared by the method has the advantages of high sensitivity, large detection range, high response speed and good stability in the application of sensor materials. The whole material has simple preparation process, no toxic product is generated in the reaction process, the energy consumption is low, and the method is green and environment-friendly and is suitable for industrial large-scale production.

Description

Graphene-based hybrid multilayer structure fiber material and preparation and application thereof
Technical Field
A preparation method of graphene-based hybrid multilayer structure fiber capable of being used as a conductive material of a flexible wearable sensor belongs to the technical field of functional nano material preparation.
Background
In recent years, flexible electronic equipment is developed rapidly, and compared with traditional electronics, flexible electronics have higher flexibility, can adapt to different complex working environments to a certain extent, and meet the deformation requirement of the equipment. The flexible wearable sensor has received wide attention due to its great potential in the fields of human physiological signal monitoring and intelligent man-machine control. The flexible sensor is conveniently attached to the skin of a human body or clothes, so that real-time detection of various actions or physiological signals including weak signals such as pulse, heartbeat, sounding, breathing and the like and strong signals such as limb movement and the like can be realized; temperature and humidity sensors may also be used to detect changes in human body temperature or ambient humidity. These signals have prompted the emergence of personalized health management systems and also provide important clinical information for disease diagnosis, prevention and rehabilitation care.
At present, most of resistive strain sensors adopt a mode of combining a nano material with good conductivity and a flexible polymer substrate with high mechanical strength to obtain high sensitivity and detection range, and common nano materials comprise metal nano particles, nano wires and various carbon materials (comprising graphene, carbon nano tubes, carbon black and the like). However, most of sensing materials face the problems of high manufacturing cost, complex process and poor sensor performance. Therefore, it has become a research hotspot in this field to find a method for producing high-performance sensing materials conveniently, quickly and in large scale.
Compared to most common sensors made of film-like or foam-like conductive materials, sensors made of fibrous materials have many unique advantages, such as small size, light weight, high transparency, and good air permeability. Sensors based on fibrous materials can be easily woven into everyday clothing or textiles to improve the wearing comfort while detecting deformations in different directions. In addition, the fibers can be woven into various shapes (yarns, fabrics and the like) to adapt to irregular surfaces, so that wearing and detection requirements are met.
Graphene is a two-dimensional carbon nanomaterial with sp carbon atoms which has attracted much attention in recent years2The hybrid orbitals form hexagonal lattices, and gaps exist among carbon atom planes and have strong interaction, so that the hybrid orbitals have the potential of being used as sensing materials. As a graphene macroscopic assembly, the graphene fiber well inherits the characteristics and has the advantages of light weight, high strength, good conductivity, good flexibility and the like. In addition, the graphene can be doped with impurity atoms to change the interlayer distance, so that the mechanical and electrical properties of the graphene can be improved, and the graphene can be widely applied to flexible electronic devices including sensors.
Disclosure of Invention
The invention aims to provide a convenient and rapid preparation method of a graphene-based hybrid multilayer structure fiber material which can be used for large-scale production, and overcomes the defects of complex preparation process, high cost and the like of a conventional sensor conductive material. The prepared graphene-based hybrid multilayer structure fiber material is high in conductivity and good in flexibility, and a sensor assembled by the material is excellent in sensitivity in various aspects (particularly sensitivity under small strain).
The nano composite material prepared by the invention is realized by the following experimental scheme:
a preparation method of a graphene-based hybrid multilayer structure fiber material comprises the following steps:
a. by a wet spinning technology, injecting the graphene oxide aqueous dispersion into a coagulating bath of transition metal salt with 5 mass percent of solute to prepare GO fibers, wherein the size of the fibers can be determined by selecting spinning nozzles with different sizes; adjusting parameters such as injector speed and coagulation bath rotation rate to produce continuous and uniform diameter GO fibers;
b. b, placing the GO fibers obtained in the step a at room temperature for 12h, airing, then placing the fibers in a strong reducing agent solution atmosphere under a closed condition, heating at 90 ℃ for 2h, and carrying out chemical reduction on graphene oxide to obtain reduced graphene oxide (rGO) fibers;
c. and (b) mixing the rGO fiber obtained in the step (b) with a proper amount of melamine, and carrying out thermal reduction on the mixture in a tubular furnace under the atmosphere of inert gas, wherein the heating rate is 5 ℃/min, and the temperature is kept at 700 ℃ for 0.5h, so that the in-situ growth of the CNT (carbon nano tube) on the surface and inside of the rGO fiber is realized, and the graphene-based hybrid multilayer structure fiber material CNT-rGO is obtained.
Preferably, the transition metal salt in step a is Ni (NO)3)2·6H2O、Co(NO3)2·6H2O or Fe (NO)3)3·9H2O。
Preferably, the transition metal salt in step a is Ni (NO)3)2·6H2O。
Preferably, the concentration of the graphene oxide precursor in the step a is 15mg/mL, the injector speed in the step a is 400 mu L/min, and the rotating speed of the coagulating bath is 30 rpm/min; the diameter of the obtained fiber is 40-60 mu m, and the strong reducing agent in the step b is hydrazine hydrate solution.
Preferably, the mass ratio of the fibers to the melamine in the step c is 1: 10; the inert gas in the step c is N2
The other technical scheme of the invention is as follows: the graphene-based hybrid multilayer structure fiber material prepared by the method.
The other technical scheme of the invention is as follows: in the application of the graphene-based hybrid multilayer structure fiber material, the graphene-based hybrid multilayer structure fiber material CNT-rGO in the step c can be used as a conductive material of a sensor.
Preferably, the graphene-based hybrid multilayer structure fiber material CNT-rGO in step c can be used singly or in multiple to obtain different sensor properties.
Preferably, the manufacturing method of the fiber material used as the conductive material of the sensor comprises the following steps:
a. and (3) spreading a layer of polydimethylsiloxane on the polytetrafluoroethylene plate, and drying to obtain the sensor substrate.
b. Cutting the fiber into proper length, connecting two ends with copper wires through conductive silver adhesive to be used as electrodes, integrally placing the electrode on a substrate, covering a layer of polydimethylsiloxane on the fiber after the silver adhesive is solidified, packaging the fiber, integrally drying the fiber, and cutting off redundant parts to obtain a sensor, performing mechanical property test on a universal material testing machine (Shanghai Heizheng precision instruments, Inc. HY-0350), collecting current signals through a current source (Jishili 2450), and performing drawing and analysis through origin software after data collection is completed;
in the step a, the mass ratio of the polydimethylsiloxane main agent to the hardening agent is 10:1, uniformly mixing and fully centrifuging to remove bubbles; and the size of the sensor in the step b is 50mm in length, 8mm in width and 0.6mm in thickness.
Advantageous effects
Compared with other methods for preparing graphene-based hybrid multilayer structure materials, the method for preparing the one-dimensional fiber material is simple, the graphene fiber can be prepared in a large scale by a wet spinning technology, harmful gas emission cannot be generated in the preparation process, and the green chemical concept is compounded. The heat preservation and the calcination process are short in time consumption and low in energy consumption, and are suitable for industrial application. The multilayer structure fiber material obtained through chemical reduction and thermal reduction has larger gaps inside, can bear larger deformation, and obtains higher sensitivity and detection range after being applied to a sensor. Compared with the reduced graphene oxide fiber with a compact internal structure, the conductivity of the fiber and the sensitivity of the sensor are greatly improved. The calculated conductivity of the graphene-based hybrid multilayer structure fiber is 62.9S/cm, which is higher than 18.5S/cm of the reduced graphene oxide fiber. In addition, the effect of improving sensor performance is also achieved by increasing the number of fibers, wherein a sensor assembled from 5 fibers exhibits an ultra-high GF value of 1137 at 3% strain, higher than most previously reported bending strain sensors. The sensor has wide application prospect in the fields of human body physiological signal detection, human body health monitoring, human-computer interaction and the like. These properties are compatible with practical applications for low cost production of materials.
Drawings
The invention will be further explained with reference to the drawings.
Fig. 1 is a scanning electron microscope image of reduced graphene fibers in example 1 of the present invention;
fig. 2 is a scanning electron microscope image of the graphene-based hybrid multilayer structure fiber in example 1 of the present invention;
fig. 3 is an X-ray diffraction image of the graphene-based hybrid multilayer structure fiber in example 1 of the present invention;
fig. 4 is a raman image of reduced graphene oxide fibers and graphene-based hybrid multilayer structure fibers in example 1 of the present invention;
fig. 5 is a current-voltage curve of the reduced graphene oxide fiber and the graphene-based hybrid multilayer structure fiber in example 1 of the present invention;
FIG. 6 is a graph of the performance of sensors assembled with different numbers of graphene-based hybrid multilayer structure fibers in example 1 of the present invention, with relative resistance changes (instantaneous resistance R versus initial resistance R)0Difference of)/initial resistance R0) The responsivity of the characterization sensor), and the Gauge Factor is the slope of the relative resistance change corresponding to different stages of the strain curve, and characterizes the sensitivity of the sensor;
FIG. 7 is a stability test of a sensor assembled from individual fibers according to example 1 of the present invention;
fig. 8 shows a sensor assembled by single fibers according to embodiment 1 of the present invention for detecting pulse signals of different states of a human body.
Detailed Description
The technical scheme of the invention is further specifically explained by the specific embodiment.
Example 1
Extruding a graphene oxide aqueous dispersion (15mg/mL) at a speed of 400 muL/min into prepared Ni (NO) with a solute mass fraction of 5% and a rotation speed of 30rpm/min3)2·6H2In O solution, Ni obtained2+The cross-linked GO fibers were fished out of the coagulation bath and left to air dry at room temperature for 12 h. Then carrying out chemical reduction for 2h at 90 ℃ in a hydrazine hydrate solution atmosphere, mixing the obtained rGO fiber with 200mg of melamine, placing the mixture in a crucible, and carrying out chemical reduction in N2And carrying out thermal reduction in a tubular furnace under the atmosphere, wherein the heating rate is 5 ℃/min, and the temperature is kept at 700 ℃ for 0.5h to obtain a final product. CNTs were grown in situ on rGO fibers at this point catalyzed by Ni.
The graphene-based hybrid multilayer structure fiber material prepared in the embodiment can be directly used as a sensor conductive material, and the PDMS main agent and the hardener are uniformly mixed according to the mass ratio of 10:1, uniformly spread on a polytetrafluoroethylene board and then dried to be used as a sensor substrate. Two copper wires with the diameter of 0.1mm are respectively connected with two ends of the fiber by utilizing conductive silver adhesive to serve as electrodes. And after the silver glue is dried, spreading a layer of PDMS on the silver glue for packaging, and drying the whole body and then tearing off the plate to obtain the sensor. The sensor is used for testing the mechanical property on a universal material testing machine (Shanghai Heng Yi-Gai-Tech instruments, Inc. HY-0350), current signals are collected by a current source (Ji-Shi 2450), and drawing analysis is carried out through origin data processing software after data collection is finished. The sensor shows a better detection range and sensitivity.
Fig. 1 is a scanning electron microscope image of reduced graphene fibers in example 1 of the present invention; fig. 2 is a scanning electron microscope image of the graphene-based hybrid multilayer structure fiber in example 1 of the present invention; fig. 3 is an X-ray diffraction image of the graphene-based hybrid multilayer structure fiber in example 1 of the present invention; fig. 4 is a raman image of reduced graphene oxide fibers and graphene-based hybrid multilayer structure fibers in example 1 of the present invention; FIG. 5 shows a flowchart of the present invention in example 1The current-voltage curves of the reduced graphene oxide fibers and the graphene-based hybrid multilayer structure fibers are calculated, and the conductivity of the graphene-based hybrid multilayer structure fibers is 62.9S/cm and higher than 18.5S/cm of the reduced graphene oxide fibers. (ii) a FIG. 6 is a graph of the performance of sensors assembled with different numbers of graphene-based hybrid multilayer structure fibers in example 1 of the present invention, with relative resistance changes (instantaneous resistance R versus initial resistance R)0Difference of)/initial resistance R0) The responsivity of the characterization sensor), and the Gauge Factor is the slope of the relative resistance change corresponding to different stages of the strain curve, and characterizes the sensitivity of the sensor; FIG. 7 is a stability test of a sensor assembled from individual fibers according to example 1 of the present invention; fig. 8 shows a sensor assembled by single fibers according to embodiment 1 of the present invention for detecting pulse signals of different states of a human body.
The influence of the quantity of fiber materials assembled into the sensor on the performance of the sensor is explored, on one hand, the overall conductivity is increased due to the connection mode of a parallel circuit similar among a plurality of fibers, and the sensitivity of the sensor is further improved; on the other hand, due to the interaction among a plurality of fibers, the integral mechanical strength is improved, and the sensor can withstand larger bending deformation. As shown in fig. 5, the strain range of a sensor assembled from 5 fibers is improved by a factor of 2 compared to a single fiber sensor. The method has great guiding significance for similar work with fibers as conductive materials of the sensor.
Example 2
Extruding a graphene oxide aqueous dispersion (15mg/mL) at a speed of 400 mu L/min into prepared Co (NO) with a solute mass fraction of 5% and a rotation speed of 30rpm/min3)2·6H2In O solution, Ni obtained2+The cross-linked GO fibers were fished out of the coagulation bath and left to air dry at room temperature for 12 h. Then carrying out chemical reduction for 2h at 90 ℃ in a hydrazine hydrate solution atmosphere, mixing the obtained rGO fiber with 200mg of melamine, placing the mixture in a crucible, and carrying out chemical reduction in N2And carrying out thermal reduction in a tubular furnace under the atmosphere, wherein the heating rate is 5 ℃/min, and the temperature is kept at 700 ℃ for 0.5h to obtain a final product. CNTs were grown in situ on rGO fibers at this point under catalysis of Co.
Comparison with example 1: the CNTs on the surface of the fiber have small length and poor density, and the conductivity of the fiber is lower than that of a hybrid multilayer structure fiber material obtained under the catalysis of Ni, so that the performance of the sensor is poor.
Example 3
Extruding a graphene oxide aqueous dispersion (15mg/mL) at a speed of 400 muL/min into prepared Fe (NO) with a solute mass fraction of 5% and a rotation speed of 30rpm/min3)3·9H2In O solution, Ni obtained2+The cross-linked GO fibers were fished out of the coagulation bath and left to air dry at room temperature for 12 h. Then carrying out chemical reduction for 2h at 90 ℃ in a hydrazine hydrate solution atmosphere, mixing the obtained rGO fiber with 200mg of melamine, placing the mixture in a crucible, and carrying out chemical reduction in N2And carrying out thermal reduction in a tubular furnace under the atmosphere, wherein the heating rate is 5 ℃/min, and the temperature is kept at 700 ℃ for 0.5h to obtain a final product. CNTs were grown in situ on rGO fibers at this point under catalysis of Fe.
Comparison with example 1: the CNTs on the surface of the fiber have small length and poor density, and the conductivity of the fiber is lower than that of a hybrid multilayer structure fiber material obtained under the catalysis of Ni, so that the performance of the sensor is poor.
Comparative example 1
Extruding a graphene oxide aqueous dispersion (15mg/mL) at a speed of 400 [ mu ] L/min into prepared Ni (NO) with a solute mass fraction of 5% and a rotation speed of 30rpm/min3)2·6H2In O solution, Ni obtained2+The cross-linked GO fibers were fished out of the coagulation bath and left to air dry at room temperature for 12 h. Then chemically reducing at 90 ℃ for 2h in a hydrazine hydrate solution atmosphere, mixing the obtained rGO fiber with 200mg of melamine, placing the mixture in a crucible, and reacting the mixture in N2And carrying out thermal reduction in a tubular furnace under the atmosphere, wherein the heating rate is 5 ℃/min, and the temperature is kept at 700 ℃ for 1h and 2h to obtain the final product. CNTs were grown in situ on rGO fibers at this point catalyzed by Ni.
Comparison with example 1: the longer the holding time at high temperature is, the higher the degree of thermal reduction of graphene is, the more defects are generated, resulting in deterioration of the strength of the fiber. The sensitivity of the sensor can be improved to a certain extent by excessive defects in the fibers, but the detection range and the signal stability of the sensor are greatly reduced, so that the requirement of actual detection is not met.
Comparative example 2
The preparation method of the graphene-based hybrid multilayer structure fiber material of the present comparative example is substantially the same as that of the examples, except that 10% and 15% of Ni (NO) is used3)2·6H2O solution, the results obtained are: as the surface of the fiber is loaded with excessive metal salt, the lamellar structure of the graphene is damaged to a certain extent, and the strength of the fiber is reduced. After the subsequent heating process, the fibers can not keep the original shape and are broken.
The graphene fiber obtained under the coagulating bath of the solute mass fraction has poor strength and is not suitable for being used as a sensor material
Comparative example 3
The preparation method of the graphene-based hybrid multilayer structure fiber material of the present comparative example is substantially the same as that of the example except that N is added2Carrying out thermal reduction in a tubular furnace under the atmosphere, wherein the heating rate is 5 ℃/min, the temperature is kept at 550 ℃ for 0.5h, and the obtained result is as follows: the fiber surface did not develop CNTs but was covered with a yellow layer of carbon nitride.
The temperature is not suitable for catalyzing the growth of the CNTs, and an ideal hybrid multilayer structure fiber material is not obtained.
Comparative example 4
The preparation method of the graphene-based hybrid multilayer structure fiber material of the present comparative example is substantially the same as that of the example except that N is added2Carrying out thermal reduction in a tubular furnace under the atmosphere, wherein the heating rate is 5 ℃/min, and the temperature is kept at 850 ℃ for 0.5h, and the obtained result is as follows: as spontaneous agglomeration of metal is generated at high temperature, CNTs on the surface of the fiber become shorter and thicker, the strength of the fiber is reduced through mechanical property detection, and the sensitivity of the sensor is reduced.
This temperature is also not a suitable temperature for preparing the ideal hybrid multilayer structure fiber material.
The above-mentioned embodiments are intended to illustrate the technical solutions and advantages of the present invention, and it should be understood that the above-mentioned embodiments are only the most preferred embodiments of the present invention, and are not intended to limit the present invention, and any modifications, additions, equivalents, etc. made within the scope of the principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. A preparation method of a graphene-based hybrid multilayer structure fiber material is characterized by comprising the following steps:
a. by a wet spinning technology, injecting the graphene oxide aqueous dispersion into a coagulating bath of transition metal salt with 5 mass percent of solute to prepare GO fibers, wherein the size of the fibers can be determined by selecting spinning nozzles with different sizes; adjusting injector speed and coagulation bath rotation rate parameters to produce continuous and uniform diameter GO fibers;
b. b, placing the GO fibers obtained in the step a at room temperature for 12h, airing, then placing the fibers in a strong reducing agent solution atmosphere under a closed condition, heating at 90 ℃ for 2h, and carrying out chemical reduction on graphene oxide to obtain reduced graphene oxide rGO fibers;
c. and c, mixing the rGO fiber obtained in the step b with a proper amount of melamine, and carrying out thermal reduction on the mixture in a tubular furnace under the atmosphere of inert gas, wherein the heating rate is 5 ℃/min, and the temperature is kept at 700 ℃ for 0.5h, so that the in-situ growth of the CNT on the surface and inside of the rGO fiber is realized, and the graphene-based hybrid multilayer structure fiber material CNT-rGO is obtained.
2. The preparation method of the graphene-based hybrid multilayer structure fiber material according to claim 1, characterized in that: the transition metal salt in the step a is Ni (NO)3)2·6H2O、Co(NO3)2·6H2O or Fe (NO)3)3·9H2O。
3. The preparation method of the graphene-based hybrid multilayer structure fiber material according to claim 2, wherein the preparation method comprises the following steps: the transition metal salt in the step a is Ni (NO)3)2·6H2O。
4. The preparation method of the graphene-based hybrid multilayer structure fiber material according to claim 1, wherein the preparation method comprises the following steps: the concentration of the graphene oxide aqueous dispersion in the step a is 15mg/mL, the injector speed in the step a is 400 mu L/min, and the rotating speed of the coagulating bath is 30 rpm/min; the diameter of the obtained fiber is 40-60 mu m, and the strong reducing agent in the step b is a hydrazine hydrate solution.
5. The preparation method of the graphene-based hybrid multilayer structure fiber material according to claim 1, wherein the preparation method comprises the following steps: the mass ratio of the fibers to the melamine in the step c is 1: 10; the inert gas in the step c is N2。
6. Graphene-based hybrid multilayer structure fiber material prepared according to the method of any one of claims 1 to 5.
7. The use of the graphene-based hybrid multilayer structure fiber material according to claim 6, characterized in that: and the graphene-based hybrid multilayer structure fiber material CNT-rGO in the step c can be used as a conductive material of a sensor.
8. The use of the graphene-based hybrid multilayer structure fiber material according to claim 6, characterized in that: the graphene-based hybrid multilayer structure fiber material CNT-rGO in step c can be used singly or in multiple to obtain different sensor properties.
9. The use of the graphene-based hybrid multilayer structure fiber material according to claim 7, characterized in that: the manufacturing method of the fiber material used as the conductive material of the sensor comprises the following steps:
a. a layer of polydimethylsiloxane PDMS is laid on a polytetrafluoroethylene board in a tiled mode and is dried to serve as a sensor substrate;
b. cutting the fiber into proper length, connecting two ends with copper wires through conductive silver adhesive to be used as electrodes, integrally placing the fiber on a substrate, covering a layer of polydimethylsiloxane on the fiber after the silver adhesive is solidified, packaging the fiber, integrally drying, and cutting off redundant parts to obtain the sensor, performing mechanical property test on a universal material testing machine Shanghai Heigui precision instrument Limited HY-0350, collecting current signals through a current source Gishili 2450, and performing drawing and analysis through origin software after data collection is completed.
10. The use of the graphene-based hybrid multilayer structure fiber material according to claim 9, characterized in that: in the step a, the mass ratio of the polydimethylsiloxane main agent to the hardening agent is 10:1, uniformly mixing and fully centrifuging to remove bubbles; and the size of the sensor in the step b is 50mm in length, 8mm in width and 0.6mm in thickness.
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