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

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-repair performance of sensors, internal damage of flexible materials, and decreased sensitivity of sensors. Achieve the effect of uniform compressive stress distribution, uniform tensile deformation and extended service life

Active Publication Date: 2021-10-22
北京惟鑫航达科技有限公司
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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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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 of urea and 8g of formaldehyde in 50ml of water to obtain 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 metha...

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

The invention provides a preparation method of a three-dimensional network graphene-based tensile strain sensor, by forming graphene with a 3D network structure in a prestressed flexible substrate to ensure the detection sensitivity and strain resistance of the sensor Next, improve the self-healing performance of the sensor. During the preparation process, N-isopropylacrylamide and vinylpyrrolidone, which are temperature-sensitive materials, are directly used to prepare soft gels, and are applied to polydimethylsiloxane electrode templates, thereby realizing the electrode template The stretching deformation of the electrode template is easy to operate and has good repeatability. It does not need to apply additional external force to cause the stretching deformation of the electrode template, and it can also avoid the uneven stretching deformation caused by the external force. Directly immersing graphene with a 3D network structure into polydimethylsiloxane containing temperature-sensitive materials does not require additional modification of graphene, which saves tedious modification operations and reduces costs.

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 Patents(China)
IPC IPC(8): C01B32/186G01B7/16
CPCC01B2204/26C01B32/186G01B7/18
Inventor 张瑞秀
Owner 北京惟鑫航达科技有限公司
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