CN114098650B - Intelligent fabric sensor layer, preparation method thereof and flexible fabric sensor - Google Patents
Intelligent fabric sensor layer, preparation method thereof and flexible fabric sensor Download PDFInfo
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- CN114098650B CN114098650B CN202111456299.8A CN202111456299A CN114098650B CN 114098650 B CN114098650 B CN 114098650B CN 202111456299 A CN202111456299 A CN 202111456299A CN 114098650 B CN114098650 B CN 114098650B
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- C—CHEMISTRY; METALLURGY
- C08—ORGANIC MACROMOLECULAR COMPOUNDS; THEIR PREPARATION OR CHEMICAL WORKING-UP; COMPOSITIONS BASED THEREON
- C08K—Use of inorganic or non-macromolecular organic substances as compounding ingredients
- C08K3/00—Use of inorganic substances as compounding ingredients
- C08K3/02—Elements
- C08K3/04—Carbon
- C08K3/042—Graphene or derivatives, e.g. graphene oxides
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
- G01B7/16—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
- G01B7/18—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge using change in resistance
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/12—Manufacturing methods specially adapted for producing sensors for in-vivo measurements
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/16—Details of sensor housings or probes; Details of structural supports for sensors
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/16—Details of sensor housings or probes; Details of structural supports for sensors
- A61B2562/164—Details of sensor housings or probes; Details of structural supports for sensors the sensor is mounted in or on a conformable substrate or carrier
Abstract
The invention discloses an intelligent fabric sensor layer, a preparation method thereof and a flexible fabric sensor, wherein the preparation method of the intelligent fabric sensor layer comprises the following steps: respectively and independently mixing the pretreated MWCNT and IPA dispersion liquid and PDMS and IPA dispersion liquid, performing ultrasonic oscillation treatment to obtain MWCNT solution and PDMS solution, mixing the two solutions, heating and evaporating to obtain a mixture; then adding a curing agent into the mixture in proportion, carrying out defoaming treatment, pouring the mixture subjected to defoaming treatment into a polytetrafluoroethylene tube, and heating, curing and molding; and weaving the intelligent fabric sensor layer by using a weaving process. By adding IPA dispersion liquid, the dispersibility of the MWCNT flexible nano material is greatly improved, and the problem that the MWCNT flexible nano material is easy to agglomerate is solved; the fabric-shaped strain sensor has the characteristics of difficult damage and high sensitivity.
Description
Technical Field
The invention relates to the technical field of sensors, in particular to an intelligent fabric sensor layer, a preparation method thereof and a flexible fabric sensor.
Background
With the improvement of the quality of life, the physiological dynamic monitoring of human bodies becomes one effective way for people to pay attention to the health state of the people in real time. At present, the wearable flexible sensor is one of the hottest sensors for monitoring the physiological dynamics of a human body, the working principle of the wearable flexible sensor is based on various sensing mechanisms (including resistance type, capacitance type or piezoelectric type), most of the base materials of the wearable strain sensor are made of Carbon Nano Tubes (CNT), silicone, ZnO nano structures and other materials, the wearable strain sensor is widely applied to the current, is approximately applied to the electrocardio and myoelectricity of the human body and the motion monitoring of parts of the hand, elbow, knee, face and the like of the human body, and the physiological health state of the human body is monitored by monitoring the physiological signals of the human body.
However, the existing measurement technology and tools have obvious limitations, and common flexible sensors lack timely signal feedback, have strong hysteresis and large measurement space, so that a test object wearing the motion sensor feels uncomfortable, and cannot achieve timely physiological signal monitoring; moreover, due to the inherent characteristics of the material, the material is easily damaged, so that the sensor is damaged, and the effect of monitoring the physiological health of the human body cannot be achieved.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a smart fabric sensor layer, a method for manufacturing the same, and a flexible fabric sensor, which are used to solve the problems of the conventional flexible sensor that the hysteresis is strong and the sensor is easily damaged due to the material characteristics.
The technical scheme of the invention is as follows:
a preparation method of an intelligent fabric sensor layer specifically comprises the following steps:
providing a multi-walled carbon nanotube and carrying out pretreatment;
respectively and independently mixing the pretreated multi-walled carbon nanotube and polydimethylsiloxane with isopropanol dispersion liquid, and performing ultrasonic treatment to obtain an MWCNT solution and a PDMS solution;
mixing the MWCNT solution and the PDMS solution to obtain a mixed solution, and oscillating, stirring, heating and evaporating the mixed solution to obtain a mixture;
adding a curing agent into the mixture to obtain a mixed flexible nano composite material, then carrying out defoaming treatment on the mixed flexible nano composite material, pouring the defoamed mixed flexible nano composite material into a polytetrafluoroethylene tube, and heating and curing;
and weaving the heated and cured mixed flexible nano composite material into the intelligent fabric sensor layer by utilizing a weaving process.
The preparation method of the intelligent fabric sensor layer comprises the following steps of:
placing the multi-walled carbon nano-tube in a drying box for drying treatment; wherein the temperature of the drying oven is 80 ℃, and the drying time is 120 min.
The preparation method of the intelligent fabric sensor layer comprises the following steps of:
mixing the multi-walled carbon nanotubes with the isopropanol dispersion liquid, mixing the polydimethylsiloxane with the isopropanol dispersion liquid, and performing ultrasonic oscillation for 1 hour at the amplitude of 15% by using an ultrasonic oscillator to obtain the MWCNT solution and the PDMS solution.
The preparation method of the intelligent fabric sensor layer comprises the following specific steps of mixing the MWCNT solution and the PDMS solution to obtain a mixed solution, and oscillating, stirring, heating and evaporating the mixed solution to obtain a mixture:
mixing and shaking the MWCNT solution and the PDMS solution, and then stirring by using a magnetic stirrer at normal temperature; after stirring, carrying out ultrasonic treatment on the mixed solution by using an ultrasonic cleaning instrument; heating is then carried out to evaporate the isopropanol dispersion completely to give the mixture.
The preparation method of the intelligent fabric sensor layer comprises the step of preparing a mixed solution, wherein the mass of the multi-wall carbon nano tube in the mixed solution is 5% -9% of that of polydimethylsiloxane.
The preparation method of the intelligent fabric sensor layer comprises the step of preparing a curing agent, wherein the curing agent is PDMS polydimethylsiloxane pouring sealant.
The preparation method of the intelligent fabric sensor layer comprises the step of mixing the curing agent and the mixture according to a mass ratio of 15: 1.
The preparation method of the intelligent fabric sensor layer comprises the following steps of enabling the rotating speed of the magnetic stirrer to be 2000rpm, and enabling stirring time to be 30 min.
An intelligent fabric sensor layer is prepared by the preparation method of the intelligent fabric sensor layer.
A flexible fabric sensor comprises a first protective layer, a second protective layer and an intelligent fabric sensor layer clamped between the first protective layer and the second protective layer, wherein the intelligent fabric sensor layer is prepared by the preparation method of the intelligent fabric sensor layer; wherein the first protective layer and the second protective layer are both made of warp yarns and weft yarns of nylon fabric through interweaving.
Has the advantages that: the invention provides an intelligent fabric sensor layer, a preparation method thereof and a flexible fabric sensor, wherein the preparation method of the intelligent fabric sensor layer comprises the following steps: respectively and independently mixing pretreated multi-walled carbon nanotubes (MWCNT) and Isopropanol (IPA) dispersion liquid and polydimethylsiloxane and isopropanol dispersion liquid, performing ultrasonic oscillation treatment to obtain MWCNT solution and PDMS solution, mixing the MWCNT solution and the PDMS solution, heating and evaporating to obtain a mixture; then adding a curing agent into the mixture in proportion, carrying out defoaming treatment, pouring the mixture subjected to defoaming treatment into a polytetrafluoroethylene tube, and heating, curing and molding; and weaving the heated and cured mixed flexible nano composite material into the intelligent fabric sensor layer by utilizing a weaving process. According to the invention, the IPA dispersion liquid is added during the preparation of the intelligent fabric sensor layer, so that the dispersibility of the MWCNT flexible nano material is greatly improved, and the problem of easy agglomeration of the MWCNT flexible nano material is solved; the fabric-shaped strain sensor has the characteristics of difficult damage and high sensitivity.
Drawings
FIG. 1 is a process flow diagram of a method of making a smart fabric sensor layer according to the present invention;
FIG. 2 is a schematic structural view of a flexible fabric sensor according to the present invention;
FIG. 3 is a schematic view of an application of the flexible fabric sensor of the present invention;
FIG. 4 is a process flow diagram of example 1 of the present invention;
FIG. 5 is a graph showing the variation of strain resistance according to different cycles in example 1 of the present invention.
Detailed Description
The invention provides an intelligent fabric sensor layer, a preparation method thereof and a flexible fabric sensor, and the invention is further described in detail below in order to make the purpose, technical scheme and effect of the invention clearer and clearer. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
With the progress of science and technology, sensors are applied in many fields, wherein, flexible sensors are widely applied in the field of rehabilitation because they have the advantages of light weight and flexibility, and can be commonly used with external flexible actuators to monitor the physiological state of human body and feed back the physiological state to the motion mechanism. However, due to the lack of technology, the existing sensor has slow information feedback, strong hysteresis and large contact area with the body, so that the wearer feels uncomfortable and cannot achieve timely physiological signal monitoring; in addition, the commonly used flexible sensors need to be used in conjunction with external system equipment, resulting in high cost, unsuited for mass physiological monitoring, and are particularly vulnerable to damage due to the inherent properties of the materials.
Based on this, as shown in fig. 1, the invention provides a method for preparing an intelligent fabric sensor layer, which specifically comprises the following steps:
s10: providing a multi-walled carbon nanotube and carrying out pretreatment;
s20: respectively and independently mixing the pretreated multi-walled carbon nanotube and polydimethylsiloxane with isopropanol dispersion liquid, and performing ultrasonic treatment to obtain an MWCNT solution and a PDMS solution;
s30: mixing the MWCNT solution and the PDMS solution to obtain a mixed solution, and oscillating, stirring, heating and evaporating the mixed solution to obtain a mixture;
s40: adding a curing agent into the mixture to obtain a mixed flexible nano composite material, then carrying out defoaming treatment on the mixed flexible nano composite material, pouring the defoamed mixed flexible nano composite material into a polytetrafluoroethylene tube, and heating and curing;
s50: and weaving the heated and cured mixed flexible nano composite material into the intelligent fabric sensor layer by utilizing a weaving process.
In some embodiments, the preprocessing in step S10 specifically includes the steps of: placing the multi-walled carbon nanotube in a drying oven for drying treatment, and setting the temperature in the drying oven to be 80 ℃; the drying time is 120 min. Of course, besides the drying box, other devices with drying effect can be used for drying the multi-wall carbon nano-tube. The pretreatment of the multi-walled carbon nanotube is to prevent the multi-walled carbon nanotube from being exposed in the air, and the MWCNT is slightly agglomerated due to moisture in the air, and the drying pretreatment is performed to avoid agglomeration and to ensure that the MWCNT is better fused with PDMS in the subsequent process.
In some embodiments, in step S20, specifically, the multi-walled carbon nanotubes and the isopropyl alcohol dispersion are mixed, the polydimethylsiloxane and the isopropyl alcohol dispersion are mixed, and the two mixed solutions are ultrasonically vibrated for 1 hour at 15% amplitude by using an ultrasonic oscillator to obtain the MWCNT solution and the PDMS solution. The multi-walled carbon nano-tube and the polydimethylsiloxane are respectively mixed by utilizing the isopropanol dispersion liquid, so that the dispersibility of the MWCNT flexible nano-material is greatly improved, and the MWCNT flexible nano-material cannot be agglomerated when being mixed with the polydimethylsiloxane subsequently. The two groups of mixed solutions are subjected to ultrasonic oscillation by using an ultrasonic device, so that the multi-walled carbon nanotube and the polydimethylsiloxane can be uniformly dispersed in the isopropanol dispersion liquid respectively, and the two groups of mixed solutions are mixed together in the follow-up process, and the uniformly mixed MWCNT/PDMS flexible nano mixed material can be obtained.
In some embodiments, the step S30 specifically includes the steps of: mixing and shaking the MWCNT solution and the PDMS solution, and then stirring by using a magnetic stirrer at normal temperature; after stirring is finished, carrying out ultrasonic treatment on the mixed solution by using an ultrasonic cleaning instrument; the isopropanol dispersion was then evaporated to completion using heating with a hot plate or oven to give the mixture.
Specifically, the rotating speed of the magnetic stirrer is 2000rpm, and the stirring time is 30 min; the time for subjecting the mixed solution to ultrasonic treatment using an ultrasonic cleaning apparatus was 3 hours. The MWCNT solution and the PDMS solution are mixed under the parameter, so that a uniformly mixed solution can be obtained, and the multi-walled carbon nano tube is uniformly dispersed on the polydimethylsiloxane substrate.
Specifically, the heating temperature of the heating plate or the oven is 100 ℃, and preferably, in the process of heating and evaporating the isopropanol dispersion liquid, the mixed liquid can be properly and slowly stirred by a fine glass rod, so that the isopropanol dispersion liquid is rapidly volatilized.
In some embodiments, the mass of the multi-walled carbon nanotubes in the mixed solution is 5% -9% of the mass of the polydimethylsiloxane; specifically, the mass of the multi-walled carbon nanotube may be 5%, 6%, 7%, 8%, 9% of the mass of polydimethylsiloxane.
In the present embodiment, the curing agent is PDMS polydimethylsiloxane potting adhesive; the mass ratio of the curing agent to the mixture is 15: 1.
in this embodiment, the defoaming treatment is performed in the degassing chamber, and the defoaming treatment time is 30 min. The bubble removing treatment is carried out before the heating and curing, so that the mixed flexible nano composite material obtained by the heating and curing has no air holes and uniform material, the service life of the intelligent fabric sensor layer is prolonged, and the intelligent fabric sensor is not easy to damage.
Specifically, when the mixed flexible nano composite material is poured into a polytetrafluoroethylene tube for heating and curing, the polytetrafluoroethylene tube poured with the mixed flexible nano composite material is placed in an oven, the temperature of the oven is set to be 60 ℃, and the curing time is 10 hours.
In some embodiments, the intelligent fabric sensor layer may be obtained by weaving the heated and cured hybrid flexible nanocomposite material in a wave form in an "array" manner using a weaving process.
In this embodiment, an intelligent fabric sensor layer is provided, which is manufactured by the above method for manufacturing an intelligent fabric sensor layer.
In this embodiment, as shown in fig. 2, a flexible fabric sensor is provided, which includes a first protective layer 10, a second protective layer 20, and an intelligent fabric sensor layer 30 sandwiched between the first protective layer 10 and the second protective layer 20, wherein the intelligent fabric sensor layer is made by the above method for preparing an intelligent fabric sensor layer; wherein the first protective layer 10 and the second protective layer 20 are made of warp and weft yarns interwoven by nylon fabric.
Specifically, the gaps formed by interweaving the warps and the wefts of the nylon fabric are about 7 microns, the water pressure resistance of the first protective layer and the second protective layer can reach 104-105Pa, the waterproof and breathable effects are achieved, damage to the intelligent fabric sensor caused by liquid and other factors in the external environment can be eliminated, and the service life of the intelligent fabric sensor is effectively prolonged.
The flexible fabric sensor is applied to the elbow of a human body as shown in fig. 3.
The present invention will be described in further detail with reference to examples. It is also to be understood that the following examples are illustrative of the present invention and are not to be construed as limiting the scope of the invention, and that certain insubstantial modifications and adaptations of the invention by those skilled in the art may be made in light of the above teachings.
Example 1
The process steps are shown in fig. 4, and the specific steps comprise the following steps:
step S1 (not shown): before preparing the MWCNT/PDMS flexible nano-mixed material, carrying out individual pretreatment on the MWCNT flexible nano-mixed material, specifically: drying MWCNT in 80 deg.C drying oven for 120 min;
step S2: filling Polydimethylsiloxane (PDMS) into 5 test tubes according to the standard of 10g in each portion and 5 portions in total; loading multi-wall carbon nanotubes (MWCNTs) into 5 test tubes in a standard of 0.5g, 0.6g, 0.7g, 0.8g and 0.9g, respectively; then, 30 ml of Isopropanol (IPA) is added into the 10 test tubes, and then an ultrasonic generator is used for shaking the mixed solution in the 10 test tubes for 1 hour at 15% amplitude to obtain five groups of MWCNT solutions and five groups of PDMS solutions;
step S3: respectively and correspondingly mixing five groups of MWCNT solutions with different contents and five groups of PDMS solutions to obtain five groups of MWCNT/PDMS flexible nano mixed materials with different component ratios, manually shaking up, and stirring for 30min at normal temperature by using a magnetic stirrer at the rotating speed of 2000 rpm; then, an ultrasonic cleaning instrument is used for carrying out ultrasonic treatment on five groups of MWCNT/PDMS flexible nano mixed materials with different component ratios for 3 hours;
step S4: heating and evaporating the MWCNT/PDMS flexible nano mixed material, completely evaporating IPA solution by using a heating plate or an oven, setting the heating temperature to be 100 ℃, and evaporating for 24 hours, wherein a fine glass rod can be used for properly stirring in the heating and evaporating process to accelerate the evaporation of IPA dispersion liquid;
step S5: mixing PDMS polydimethylsiloxane pouring sealant and the mixed material according to a ratio of 15:1, and then placing the mixture in a degassing chamber for defoaming treatment for 30 min; pouring the mixed material subjected to defoaming treatment into a polytetrafluoroethylene tube, and then placing the polytetrafluoroethylene tube into an oven for heating and curing, wherein the heating temperature is 60 ℃, and the curing time is 10 hours;
step S6: peeling the flexible linear nano mixed material after heating and curing from the polytetrafluoroethylene tube, and weaving the flexible linear nano material after heating and curing by using a weaving process to obtain an intelligent fabric sensor layer;
step S7: the method comprises the steps of weaving warps and wefts of a nylon fabric in a crossed mode to form protective layers, attaching the protective layers to two surfaces of an intelligent fabric sensor layer, namely clamping the intelligent fabric sensor layer by the two protective layers to obtain the intelligent fabric sensor.
The intelligent fabric sensor prepared by the present embodiment will be subjected to a strain application test.
The prepared sensors with different proportions are used for carrying out strain application tests, and the adopted test system comprises a strain stress control device (an electronic universal stress-strain tester), an electric signal acquisition device (a digital source table B2902B) and a computer PC (personal computer) end software analysis system (Keysight IV Measurement). The device is controlled by a computer, so that the synchronous acquisition of mechanical and electrical signals of the tensile strain bending experiment and the like can be controlled, and the time error is reduced. On the electron universal tester, the anchor clamps on insulating rubber layer on probation fix the sensor sample, take place deformation when the sample receives external force, and the electrode removes along with anchor clamps simultaneously, and the digital source table synchronous record sample is at the transient resistance of deformation in-process.
Experimental verification shows that when the outside exerts certain pressure or tensile force on the MWCNT-PDMS flexible composite material, the flexible composite material deforms, so that the original conductivity of the flexible composite material changes. In addition, the initial resistance values of the MWCNT-PDMS flexible composite material samples are different due to different mass fractions of the MWCNTs, and the initial resistance value R of the flexible composite material sample is different when the mass fraction of the MWCNTs is 5 wt% (the mass of the multi-walled carbon nanotubes is 5% of the mass of the PDMS) 0 184K Ω, and 9 wt% MWCNT, the initial resistance value R of the flexible composite sample 0 The initial resistivity of 37K Ω was far from the initial resistivity, i.e., the initial resistivity of the sample decreased with increasing MWCNT mass fraction.
In addition, we studied the resistance of various flexible composite samples with different MWCNT-PDMS flexible composite mass fractions under different tensile stress conditions and the stress variation relationship. As shown in fig. 5, the experimental results of this time are 0 to 10 wt%, 0 to 15 wt%, 0 to 20 wt%, and 0 to 25 wt% (0 to 10 wt%, 0 to 15 wt%, 0 to 20 wt%, and 0 to 25 wt%) of the different cyclic strain resistance change charts of the sensor prepared in this example, which is stretched to 10%, 15%, 20%, and 25% of the original length. All resistance changes caused by different stresses are returned to the original initial value for re-stretching test.
As shown in fig. 5: as can be seen from the figure, the resistance value of the flexible material has a trend of changing steadily in the cycle test under the same tensile stress condition, and in each cycle test of the tensile stress, the resistance value corresponding to the resistance cycle change gradually increases along with the increase of the tensile stress, and when the tensile stress is released to return to the initial starting point, the resistance value also returns to the initial resistance value correspondingly. The reason for this resistance change is that when the MWCNT-PDMS flexible composite material is stretched, the distance between the adjacent MWCNT molecules inside the composite material is correspondingly increased, and thus the formed internal conductive path is damaged, and the resistance is increased.
In addition, since the elastic modulus of the PDMS flexible substrate and the MWCNT are greatly different from each other, when the same tensile stress is applied, a shear force is formed between the two due to the difference therebetween, breaking the interface therebetween, and thus, the tensile strain increases the resistance value.
In summary, the invention provides an intelligent fabric sensor layer, a preparation method thereof and a flexible fabric sensor, wherein the preparation method of the intelligent fabric sensor layer comprises the following steps: respectively and independently mixing pretreated multi-walled carbon nanotubes (MWCNT) and Isopropanol (IPA) dispersion liquid and polydimethylsiloxane and isopropanol dispersion liquid, performing ultrasonic oscillation treatment to obtain MWCNT solution and PDMS solution, mixing the MWCNT solution and the PDMS solution, heating and evaporating to obtain a mixture; then adding a curing agent into the mixture in proportion, carrying out defoaming treatment, pouring the mixture subjected to defoaming treatment into a polytetrafluoroethylene tube, and heating, curing and molding; and weaving the heated and cured mixed flexible nano composite material into the intelligent fabric sensor layer by utilizing a weaving process. According to the invention, the IPA dispersion liquid is added during the preparation of the intelligent fabric sensor layer, so that the dispersibility of the MWCNT flexible nano material is greatly improved, and the problem of easy agglomeration of the MWCNT flexible nano material is solved; the fabric-shaped strain sensor has the characteristics of difficult damage and high sensitivity.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (7)
1. A preparation method of an intelligent fabric sensor layer is characterized by specifically comprising the following steps:
providing a multi-walled carbon nanotube and carrying out pretreatment;
respectively and independently mixing the pretreated multi-walled carbon nanotube and polydimethylsiloxane with isopropanol dispersion liquid, and performing ultrasonic treatment to obtain an MWCNT solution and a PDMS solution;
mixing the MWCNT solution and the PDMS solution to obtain a mixed solution, and oscillating, stirring, heating and evaporating the mixed solution to obtain a mixture;
adding a curing agent into the mixture to obtain a mixed flexible nano composite material, then carrying out defoaming treatment on the mixed flexible nano composite material, pouring the defoamed mixed flexible nano composite material into a polytetrafluoroethylene tube, and carrying out heating curing at the temperature of 60 ℃ for 10 hours;
weaving the heated and cured mixed flexible nano composite material into the intelligent fabric sensor layer by using a weaving process;
wherein the curing agent is PDMS polydimethylsiloxane pouring sealant; the mass ratio of the curing agent to the mixture is 15: 1;
the mass of the multi-wall carbon nano tube in the mixed solution is 5-9% of that of the polydimethylsiloxane.
2. A method for preparing a smart fabric sensor layer according to claim 1, wherein the pre-treatment specifically comprises the steps of:
placing the multi-walled carbon nano-tube in a drying box for drying treatment; wherein the temperature of the drying oven is 80 ℃, and the drying time is 120 min.
3. The method for preparing an intelligent fabric sensor layer according to claim 1, wherein the step of separately mixing the pretreated multi-walled carbon nanotubes and polydimethylsiloxane with the isopropanol dispersion liquid and performing ultrasonic treatment to obtain the MWCNT solution and the PDMS solution comprises the following steps:
mixing the multi-walled carbon nanotubes with the isopropanol dispersion liquid, mixing the polydimethylsiloxane with the isopropanol dispersion liquid, and performing ultrasonic oscillation for 1 hour at the amplitude of 15% by using an ultrasonic oscillator to obtain the MWCNT solution and the PDMS solution.
4. The method for preparing a smart fabric sensor layer according to claim 1, wherein the steps of mixing the MWCNT solution and the PDMS solution to obtain a mixture, and shaking, stirring, heating and evaporating the mixture to obtain a mixture comprise:
mixing and shaking the MWCNT solution and the PDMS solution, and then stirring by using a magnetic stirrer at normal temperature; after stirring, carrying out ultrasonic treatment on the mixed solution by using an ultrasonic cleaning instrument; heating is then carried out to evaporate the isopropanol dispersion completely to give the mixture.
5. A method for preparing a smart fabric sensor layer according to claim 4, wherein the rotation speed of the magnetic stirrer is 2000rpm, and the stirring time is 30 min.
6. A smart fabric sensor layer made by the method of making a smart fabric sensor layer of any of claims 1-5.
7. A flexible fabric sensor, comprising a first protective layer, a second protective layer and an intelligent fabric sensor layer sandwiched between the first protective layer and the second protective layer, wherein the intelligent fabric sensor layer is manufactured by the method for manufacturing the intelligent fabric sensor layer according to any one of claims 1 to 5;
wherein the first protective layer and the second protective layer are both made of warp yarns and weft yarns of nylon fabric through interweaving.
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| CN114098650A (en) | 2022-03-01 |
| NL2030827A (en) | 2023-06-19 |
| NL2030827B1 (en) | 2023-10-11 |
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