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Three-dimensional network graphene-based tensile strain sensor and preparation method thereof

A graphene-based, tensile strain technology, applied in graphene, chemical instruments and methods, electric/magnetic solid deformation measurement, etc., can solve the problems of insufficient self-healing performance of sensors, degradation of sensor sensitivity, internal damage of flexible materials, etc. Achieve uniform compressive stress distribution, extended service life, and uniform tensile deformation.

Active Publication Date: 2020-11-17
庄秀萍
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] After the strain sensor is used for many times, the strain will gradually accumulate, and the flexible material will also produce internal damage, which will reduce the sensitivity of the sensor, that is, the self-healing performance of the sensor is insufficient
Therefore, the purpose of the present invention is to solve the technical problem that the sensitivity of the tensile strain sensor gradually declines during use, and it is expected that by improving the self-repairing performance of the sensor, the stability of the sensitivity of the sensor can be guaranteed, and the service life can be improved.

Method used

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  • Three-dimensional network graphene-based tensile strain sensor and preparation method thereof

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Effect test

Embodiment 1

[0026] A three-dimensional network graphene-based tensile strain sensor, its preparation method comprising:

[0027] (1) Preparation of soft gel precursor:

[0028] Dissolve 5g urea and 8g formaldehyde in 50ml water to obtain a mixed solution A; dissolve vinyl polydimethylsiloxane, N-isopropylacrylamide, and vinylpyrrolidone in the solvent respectively to obtain a mass volume concentration of 8g / 100ml The solutions B, C, and D were mixed and reacted with the solutions A, B, C, and D according to the volume ratio of 1:2:1:1 to obtain the reaction product M, which is the soft gel precursor.

[0029] (2) Preparation of graphene with 3D network structure:

[0030] The nickel foam was cleaned sequentially with alcohol, acetone, and deionized water, and then dried with nitrogen gas. As a template for growing graphene with a 3D network structure, the cleaned and dried nickel foam was transferred to a chemical vapor deposition device, and the nickel foam was sprayed with methane and ...

Embodiment 2

[0037] A three-dimensional network graphene-based tensile strain sensor, its preparation method comprising:

[0038] (1) Preparation of soft gel precursor:

[0039] Dissolve 3g of urea and 7g of formaldehyde in 50ml of water to obtain a mixed solution A; dissolve vinyl polydimethylsiloxane, N-isopropylacrylamide, and vinylpyrrolidone in the solvent respectively to obtain a mass volume concentration of 6g / 100ml The solutions B, C, and D were mixed and reacted with the solutions A, B, C, and D according to the volume ratio of 1:2:1:1 to obtain the reaction product M, which is the soft gel precursor.

[0040] (2) Preparation of graphene with 3D network structure:

[0041] The nickel foam was cleaned sequentially with alcohol, acetone, and deionized water, and then dried with nitrogen gas. As a template for growing graphene with a 3D network structure, the cleaned and dried nickel foam was transferred to a chemical vapor deposition device, and the nickel foam was sprayed with met...

Embodiment 3

[0048] A three-dimensional network graphene-based tensile strain sensor, its preparation method comprising:

[0049] (1) Preparation of soft gel precursor:

[0050] Dissolve 3g of urea and 10g of formaldehyde in 50ml of water to obtain a mixed solution A; dissolve vinyl polydimethylsiloxane, N-isopropylacrylamide, and vinylpyrrolidone in the solvent respectively to obtain a mass volume concentration of 10g / 100ml The solutions B, C, and D were mixed and reacted with the solutions A, B, C, and D according to the volume ratio of 1:2:1:1 to obtain the reaction product M, which is the soft gel precursor.

[0051] (2) Preparation of graphene with 3D network structure:

[0052] The nickel foam was cleaned sequentially with alcohol, acetone, and deionized water, and then dried with nitrogen gas. As a template for growing graphene with a 3D network structure, the cleaned and dried nickel foam was transferred to a chemical vapor deposition device, and the nickel foam was sprayed with m...

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Abstract

A preparation method of a three-dimensional network graphene-based tensile strain sensor is provided by the invention. Graphene with the 3D network structure is formed in a flexible substrate to whichprestress is applied, and the self-repairing performance of the sensor is improved under the condition that the detection sensitivity and the strain resistance of the sensor are ensured. In the preparation process, temperature-sensitive materials which are N-isopropylacrylamide and vinyl pyrrolidone are directly used for preparing soft gel and the soft gel is applied to a polydimethylsiloxane electrode template, so that tensile deformation of an electrode template is realized, the operation is simple, and repeatability is good; extra external force does not need to be applied to enable the electrode template to generate tensile deformation, and uneven tensile deformation caused by the external force can also be avoided. The graphene with the 3D network structure is directly immersed intopolydimethylsiloxane containing the temperature-sensitive materials, so that the graphene does not need to be subjected to additional modification, tedious modification is omitted, and the cost is reduced.

Description

technical field [0001] The invention belongs to the field of sensor preparation, in particular to a three-dimensional network graphene-based tensile strain sensor and a preparation method thereof. Background technique [0002] A sensor is a detection device that can convert the detected information into easily identifiable electrical signals, digital signals, etc. according to certain rules. The indicators that determine the quality of sensors mainly include the sensitivity of information reception and the effectiveness of information transformation. Among them, the sensitivity of information reception is closely related to the material and structure of the sensor itself. [0003] For the strain sensor, the basic principle is to use the resistance strain effect to paste the resistance strain sensitive element on the elastic element. When the elastic element in the sensor is strained and deformed by the external action, the resistance of the strain sensitive element will cha...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C01B32/186G01B7/16
CPCC01B2204/26C01B32/186G01B7/18
Inventor 张瑞秀
Owner 庄秀萍
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