CN109540726A - A kind of high-efficiency artificial graphene film discrimination method - Google Patents
A kind of high-efficiency artificial graphene film discrimination method Download PDFInfo
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- CN109540726A CN109540726A CN201910017918.XA CN201910017918A CN109540726A CN 109540726 A CN109540726 A CN 109540726A CN 201910017918 A CN201910017918 A CN 201910017918A CN 109540726 A CN109540726 A CN 109540726A
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N5/00—Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid
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Abstract
The present invention relates to a kind of high-efficiency artificial graphene film discrimination methods, it is mainly used for establishing graphene film mass area ratio control standard, the discrimination method mainly establishes quality standard in standard area using for each specification thermal conductivity graphene film, pass through measurement standard area endoplasm buret control, due to different manufacturers, the PI film theory carbon content of different size, shrinking percentage differs greatly, therefore its corresponding graphene film mass area ratio differs greatly, the PI film of same same specification causes carbon loss to be excessively also possible to that graphene film mass area ratio is caused to change because of burning process fluctuation, therefore PI manufacturer both can effectively be identified by monitoring graphene film mass area ratio, specification, whether technique occurs big change or out of control.
Description
Technical field
The present invention relates to a kind of high-efficiency artificial graphene film discrimination methods, belong to thermal conductivity graphene technical field of membrane.
Background technique
Artificial thermal conductivity graphene film using Kapton (abbreviation PI film) through high temperature cabonization, roll by graphitization,
For layer structure；The type of Kapton, producer are various, and quality is irregular, and part manufacturer can select the PI of low cost
Film fires high-grade graphene film, and conventional detection can not be identified effectively；The main property of artificial thermal conductivity graphene film is examined at present
Energy index is thermal diffusion, density, thickness；Wherein density generallys use real density instrument and is tested, and test philosophy is to choose to determine
Amount sample converts its true volume using argon gas filled graphite gap and sample quality converts to obtain real density, such as: usually
The Standard graphite of 25um strictly uses the PI of 50um to fire, and selects 38umPI to fire if any manufacturer, and thermal diffusion, thickness press industry
Detection mode can meet the requirements, and density such as also corresponds to require according to real density instrument test；If the 25um that 38PI is fired
Graphene film thickness walks standard min, and drainage or Thickness Method measurement density equally readily conform to require；Therefore such product pole
Easy inflow terminal, but the specification product can reduce by 30% in terminal use process performance, therefore design the new identification of one kind and manually lead
The mode of hot graphene film performance is very necessary.
Summary of the invention
The technical problem to be solved in the present invention overcomes existing defect, provides a kind of high-efficiency artificial graphene film identification side
Method, by monitor graphene film mass area ratio not only can effectively identify the quality of graphene film but also can identify PI manufacturer,
Whether specification, technique occur big change or out of control, can effectively solve the problems in background technique.
In order to solve the above-mentioned technical problems, the present invention provides the following technical solutions:
A kind of high-efficiency artificial graphene film discrimination method, comprising the following steps:
1) preparation of standard module:
Mold sample making is rectangle or polygon, absolute error △≤1mm of its side length for rectangular；
It is required that mold side length L >=1000* △, ejection die meets area S relative error δ≤0.2%；
2) thermal conductivity graphene film is sampled:
Cutting sampling is carried out to graphene film to be monitored using standard area mold, sampling location is set as at three, respectively stone
Position between black alkene center membrane position, graphene film marginal position and graphene film center and edge, using knife along draw
It is cut at line, respectively No. 1, No. 2, No. 3 is numbered in the graphene film after cutting；
3) measurement of mass area ratio is carried out to sample:
No. 1 after sampling, No. 2, No. 3 samples are carried out mass measurement and recorded to be recorded as m1, m2, m3 respectively；
4) sampling sample quality is calculated and compared:
By the way that the quality of No. 1, No. 2, No. 3 sample is carried out to be averaged calculating, if average value be m, m=(m1+m2+m3)/3, it is right
Whether meet graphene standard quality control range (LCL, UCL) than average value m, and then for determining graphene film to be tested
Quality, wherein LCL is specifications control lower limit, and UCL is the specifications control upper limit.
Compared with prior art, the invention has the following advantages that
It 1, can the change of effective monitoring graphene film preparation main material manufacturer；
2, it can effectively supervise mixed batch of graphene film preparation main material specification or fake；
3, graphene film producer critical process process abnormality or technique change can effectively be supervised；
Therefore the raw material types that can effectively solve to fire graphite at present are various, can not effectively distinguish poor material or nonstandard material
The problem of expecting the graphene film of production.
Specific embodiment
The present invention is further illustrated With reference to embodiment, based on the specific embodiment party in the present invention
Formula, every other specific embodiment obtained by those of ordinary skill in the art without making creative efforts,
It shall fall within the protection scope of the present invention.
A kind of high-efficiency artificial graphene film discrimination method, comprising the following steps:
1) preparation of standard module:
Mold sample making is rectangle or polygon, absolute error △≤1mm of its side length for rectangular；
It is required that mold side length L >=1000* △, ejection die meets area S relative error δ≤0.2%；
2) thermal conductivity graphene film is sampled:
Cutting sampling is carried out to graphene film to be monitored using standard area mold, sampling location is set as at three, respectively stone
Position between black alkene center membrane position, graphene film marginal position and graphene film center and edge, using knife along draw
It is cut at line, respectively No. 1, No. 2, No. 3 is numbered in the graphene film after cutting；
3) measurement of mass area ratio is carried out to sample:
No. 1 after sampling, No. 2, No. 3 samples are carried out mass measurement and recorded to be recorded as m1, m2, m3 respectively；
4) sampling sample quality is calculated and compared:
By the way that the quality of No. 1, No. 2, No. 3 sample is carried out to be averaged calculating, if average value be m, m=(m1+m2+m3)/3, it is right
Whether meet graphene standard quality control range (LCL, UCL) than average value m, and then for determining graphene film to be tested
Quality, wherein LCL is specifications control lower limit, and UCL is the specifications control upper limit.
The theoretical carbon content of unit area PI film, burning process, three elements of shrinking percentage have codetermined graphene film list
Quality in plane product is corresponded to since PI film theory carbon content, the shrinking percentage of different manufacturers, different size differ greatly
Graphene film mass area ratio differ greatly, the PI film of same same specification also has because burning process fluctuation leads to carbon loss excessively
It may cause graphene film mass area ratio to change, therefore can both have by monitoring graphene film mass area ratio
Whether effect identification PI manufacturer, specification, technique occur big change or out of control.
Therefore it not only can effectively identify the quality of graphene film by monitoring graphene film mass area ratio but also can reflect
Whether other PI manufacturer, specification, technique occur big change or out of control, compared with prior art, the invention has the following advantages that
It 1, can the change of effective monitoring graphene film preparation main material manufacturer；
2, it can effectively supervise mixed batch of graphene film preparation main material specification or fake；
3, graphene film producer critical process process abnormality or technique change can effectively be supervised；
Therefore the raw material types that can effectively solve to fire graphite at present are various, can not effectively distinguish poor material or nonstandard material
The problem of expecting the graphene film of production.
In the present invention, in order to sample dedicated tool and fixture conveniently can be set graphene film is cut, be
Guarantee that the working environment in cutting process can increase dust hood outside operation post denomination, or drop can be achieved in collocation wind leaching outlet
Low dust effect.
In the present invention, the quality of standard thermal conductivity graphene film can be by using stone qualified after other modes test
Black alkene film measures record, and is defined to the acceptable quality range of unit area graphene film, facilitates and compares.
It in the present invention, can be using the higher measuring tool of precision to unit area graphite in order to improve identification precision
The quality of alkene film measures.
The above are the preferable embodiments of the present invention, and basic principles and main features of the invention have been shown and described above
And advantages of the present invention, It should be understood by those skilled in the art that the present invention is not limited to the above embodiments, above-described embodiment
It is merely illustrated the principles of the invention with described in specification, without departing from the spirit and scope of the present invention, the present invention
Various change and improvement are also had, these changes and improvements all fall within the protetion scope of the claimed invention, the present invention claims
Protection scope is defined by the appending claims and its equivalent thereof.
Claims (1)
1. a kind of high-efficiency artificial graphene film discrimination method, which comprises the following steps:
1) preparation of standard module:
Mold sample making is rectangle or polygon, absolute error △≤1mm of its side length for rectangular；
It is required that mold side length L >=1000* △, ejection die meets area S relative error δ≤0.2%；
2) thermal conductivity graphene film is sampled:
Cutting sampling is carried out to graphene film to be monitored using standard area mold, sampling location is set as at three, respectively stone
Position between black alkene center membrane position, graphene film marginal position and graphene film center and edge, using knife along draw
It is cut at line, respectively No. 1, No. 2, No. 3 is numbered in the graphene film after cutting；
3) measurement of mass area ratio is carried out to sample:
No. 1 after sampling, No. 2, No. 3 samples are carried out mass measurement and recorded to be recorded as m1, m2, m3 respectively；
4) sampling sample quality is calculated and compared:
By the way that the quality of No. 1, No. 2, No. 3 sample is carried out to be averaged calculating, if average value be m, m=(m1+m2+m3)/3, it is right
Whether meet graphene standard quality control range (LCL, UCL) than average value m, and then for determining graphene film to be tested
Quality.
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| CN201910017918.XA CN109540726A (en) | 2019-01-09 | 2019-01-09 | A kind of high-efficiency artificial graphene film discrimination method |
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| CN201910017918.XA CN109540726A (en) | 2019-01-09 | 2019-01-09 | A kind of high-efficiency artificial graphene film discrimination method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110887864A (en) * | 2019-11-18 | 2020-03-17 | 江苏鸿凌达科技有限公司 | Testing method of graphene heat-conducting film |
| CN111398531A (en) * | 2020-04-07 | 2020-07-10 | 苏州鸿凌达电子科技有限公司 | Efficient graphene film identification system and method |
| CN113933238A (en) * | 2021-10-19 | 2022-01-14 | 海瑞膜科技南通有限公司 | High-efficiency graphene film identification system based on surface friction force |
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| CN101968416A (en) * | 2009-07-28 | 2011-02-09 | 上海宝钢工业检测公司 | Method for detecting weight of fingerprint resistant film of fingerprint-resistant electro-galvanized sheet |
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| CN110887864A (en) * | 2019-11-18 | 2020-03-17 | 江苏鸿凌达科技有限公司 | Testing method of graphene heat-conducting film |
| CN111398531A (en) * | 2020-04-07 | 2020-07-10 | 苏州鸿凌达电子科技有限公司 | Efficient graphene film identification system and method |
| CN112697969A (en) * | 2020-04-07 | 2021-04-23 | 苏州鸿凌达电子科技有限公司 | High-efficiency graphene film identification system based on surface friction force |
| CN113933238A (en) * | 2021-10-19 | 2022-01-14 | 海瑞膜科技南通有限公司 | High-efficiency graphene film identification system based on surface friction force |
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Application publication date: 20190329 |