CN105699357B - A kind of grain graininess measurement method based on two-dimentional Raman spectrum - Google Patents
A kind of grain graininess measurement method based on two-dimentional Raman spectrum Download PDFInfo
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- CN105699357B CN105699357B CN201610257940.8A CN201610257940A CN105699357B CN 105699357 B CN105699357 B CN 105699357B CN 201610257940 A CN201610257940 A CN 201610257940A CN 105699357 B CN105699357 B CN 105699357B
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- 238000001237 Raman spectrum Methods 0.000 title claims abstract description 21
- 238000000691 measurement method Methods 0.000 title claims abstract description 12
- 239000013618 particulate matter Substances 0.000 claims abstract description 41
- 230000003595 spectral effect Effects 0.000 claims abstract description 27
- 238000001069 Raman spectroscopy Methods 0.000 claims abstract description 22
- 238000000034 method Methods 0.000 claims abstract description 17
- 239000002245 particle Substances 0.000 claims abstract description 16
- 238000005259 measurement Methods 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims abstract description 8
- 238000012512 characterization method Methods 0.000 claims 1
- 239000000126 substance Substances 0.000 abstract description 6
- 239000000284 extract Substances 0.000 abstract description 3
- IWOUKMZUPDVPGQ-UHFFFAOYSA-N barium nitrate Chemical compound [Ba+2].[O-][N+]([O-])=O.[O-][N+]([O-])=O IWOUKMZUPDVPGQ-UHFFFAOYSA-N 0.000 description 8
- 229910002651 NO3 Inorganic materials 0.000 description 7
- 238000009826 distribution Methods 0.000 description 7
- 238000001514 detection method Methods 0.000 description 4
- 239000008187 granular material Substances 0.000 description 3
- 238000003384 imaging method Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000000790 scattering method Methods 0.000 description 3
- 238000004062 sedimentation Methods 0.000 description 3
- 238000001093 holography Methods 0.000 description 2
- 238000010297 mechanical methods and process Methods 0.000 description 2
- 239000000470 constituent Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005272 metallurgy Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000000399 optical microscopy Methods 0.000 description 1
- 239000011148 porous material Substances 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000001370 static light scattering Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means
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- General Physics & Mathematics (AREA)
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Abstract
The present invention relates to a kind of grain graininess measurement methods based on two-dimentional Raman spectrum, it include: for certain particulate matter, choose each group particulate matter of known grain graininess, every group of particulate matter is the particulate matter of identical grain graininess, acquires the two-dimentional Raman spectrum of each group particulate matter of known particle；Intercept the Characteristic Raman spectral peak of every group of particulate matter；The mathematic(al) representation of Characteristic Raman spectral peak is obtained using 2-D data approximating method；Extract the half peak breadth W of Characteristic Raman spectral peak；Fit the relational expression between the grain graininess P of particulate matter and half peak breadth W；For such particulate matter of grain graininess to be measured, acquisition is secondly dimension Raman spectrum, the step of according to above-mentioned 2-D data Fitting Analysis, obtain its half peak breadth W, then, according to the relational expression between the grain graininess P of particulate matter and half peak breadth W, the measurement of grain graininess P is realized.The present invention can simple, quickly, nondestructively measure the grain graininess of substance.
Description
Technical field
The invention belongs to grain graininess field of measuring technique more particularly to a kind of grain graininess measurement methods.
Background technique
Particle is a kind of form of expression existing for substance, constitutes the colourful material world.Modern industrial production,
In national defense construction and high-tech area, granular materials, especially superfine powdery material play increasingly important role, wide
It is applied to the fields such as medicine, chemical industry, metallurgy, electronics, machinery, light industry, food, building and environmental protection generally.Due to granular materials
Property is mainly determined by the average particle size and particle size distribution parameter of particle, thus is required to accurately measure grain graininess
Technology realizes effective measurement to grain graininess, the granularity accuracy of control granular materials in the process of production and processing, guarantee
High-quality, the high-performance of grain material, meet more and more high-end application requirement.
Currently, the measurement method of grain graininess is broadly divided into Mechanical Method and two kinds of wave characteristic method.Mechanical Method is divided into sieve again
Point-score and two kinds of sedimentation, wherein sieve method utilizes the sieve with a certain size sieve pore by manually or mechanically vibration device
Tested particulate samples are sifted out into several granularity level, acquire particle size distribution, are that equipment is simple, a kind of widely used
Grain particle size measuring techniques still when operating cost, can not achieve the real-time measurement of grain graininess；Sedimentation is with Lambert-Beer's law
With Stokes formula be foundation, according to varigrained particle in the field of force the different principle of sinking speed, acquire particle
Particle diameter distribution is a kind of common grain graininess measurement method, still, damages detection and non real-time inspection to tested particulate samples
It surveys, limits the application range of sedimentation.
Wave characteristic method is divided into intuitive imaging method, light holography method, scattering method etc. again, wherein intuitive imaging method is mainly logical
It crosses optical microscopy, electron microscope etc. and directly observes tested particulate samples, although measurement accuracy with higher, sampling
Rate is lower and time of measuring is longer, limits its scope of application；Light holography method mainly utilizes holographic technique to realize to tested
The three-dimensional imaging of grain sample, can accurately record the size distribution and space distribution information of tested particulate samples, still,
It is mainly used in the measurement of suspended particulate matter；Scattering method is mainly the interaction realization for passing through laser and tested particulate samples
The measurement of grain graininess, is divided into static and two kinds of dynamic, the space distribution rule of static light scattering measurement scattering light, and dynamic optical dissipates
The rule that intensity of the research scattering light in certain fixed space position changes over time is penetrated, currently, scattering method is based primarily upon husband's thinkling sound's standing grain
Fraunhofer-diffraction theory, fresnel diffraction theory, Mie-scattering lidar and Rayleigh scattering are theoretical, and the quick survey of grain graininess may be implemented
Amount, still, is limited by grain graininess range.
Summary of the invention
It is an object of the invention to overcome the above-mentioned deficiency of the prior art, particle can quickly and easily be measured by providing one kind
The lossless detection method of granularity.Technical scheme is as follows:
A kind of grain graininess measurement method based on two-dimentional Raman spectrum, includes the steps that following:
1) for certain particulate matter, each group particulate matter of known grain graininess is chosen, every group of particulate matter is identical
The particulate matter of grain graininess acquires the two-dimentional Raman spectrum of each group particulate matter of known particle, includes wavelength dimension and one
The intensity signal of dimension space dimension；
2) the Characteristic Raman spectral peak of every group of particulate matter is intercepted；
3) mathematic(al) representation of Characteristic Raman spectral peak is obtained using 2-D data approximating method: Characteristic Raman spectral peak is carried out
Dimensional Gaussian Fitting Analysis is overlapped fitting using the two-dimensional Gaussian function with different half peak breadths, obtains Characteristic Raman
The two-dimensional Gaussian function expression formula of spectral peak；
4) the half peak breadth W for extracting Characteristic Raman spectral peak is obtained according to the two-dimensional Gaussian function expression formula of Characteristic Raman spectral peak
Take Characteristic Raman spectral peak along the size of the half peak breadth W of Spatial Dimension, half peak breadth W characterizes the Characteristic Raman scattering of particulate matter
Light is on array type detector surface along the disperse degree of Spatial Dimension；
5) the disperse degree for scattering light according to Characteristic Raman is in a linear relationship with grain graininess, fits of particulate matter
Relational expression between grain granularity P and half peak breadth W；
6) for such particulate matter of grain graininess to be measured, acquisition is secondly tie up Raman spectrum, according to above-mentioned two-dimemsional number
The step of according to Fitting Analysis, obtains its half peak breadth W, then, according between the grain graininess P and half peak breadth W of particulate matter
Relational expression, realize grain graininess P measurement.
Grain graininess measurement method proposed by the present invention based on two-dimentional Raman spectrum passes through 2-D data approximating method point
It analyses and extracts the half peak breadth of two-dimentional Raman spectrum spectral peak with the disperse degree of characteristic feature Raman diffused light, according to Characteristic Raman
The disperse degree of light and the linear relationship of grain graininess are scattered, derives the grain graininess of substance, there is significant advantage, it can be with
Simply, the grain graininess of substance quickly, is nondestructively measured.
Detailed description of the invention
Fig. 1 is the flow chart of the grain graininess measurement method provided by the invention based on two-dimentional Raman spectrum.
Fig. 2 is barium nitrate Ba (NO provided by the invention3)2The two-dimentional Raman spectrum of particulate matter.
Fig. 3 is barium nitrate Ba (NO provided by the invention3)2The grain graininess and dimensional Gaussian of particulate matter are fitted half-peak breadth
The corresponding relationship of degree, for measuring calibration factor a and b.
Specific embodiment
In conjunction with attached drawing, detailed description are as follows.Mainly a kind of particle based on two-dimentional Raman spectrum described herein
Spend the implementation method of measurement method.
Fig. 1 shows a kind of flow chart of grain graininess measurement method based on two-dimentional Raman spectrum provided by the invention,
Details are as follows.
Particulate matter to be measured is barium nitrate Ba (NO3)2。
Shown in Fig. 2, Ba (NO3)2The two-dimentional Raman spectrum of particulate matter, Ba (NO3)2There are two features to draw for particulate matter tool
Graceful spectral peak, i.e. spectral peak A and spectral peak B, and spectral peak B is larger relative to spectral peak A, therefore, interception spectral peak B carries out dimensional Gaussian fitting point
Analysis obtains the two-dimensional Gaussian function expression formula of spectral peak B, extracts the half peak breadth W of spectral peak B.On this basis, according to grain graininess
The linear relationship of P=aW+b derives the grain graininess of substance.
By be respectively 60 μm to grain graininess, 82.5 μm, 97.5 μm, 115 μm, 137.5 μm, 175 μm, 250 μm of Ba
(NO3)2Particulate matter measures analysis, according to Fig.3, barium nitrate Ba (NO3)2The grain graininess and two dimension of particulate matter
The corresponding relationship of Gauss curve fitting half peak breadth, calibration factor a and b in available grain graininess P=aW+b, wherein a=
65, b=-580, then P=65W-580.
The characteristic distributions of spectral peak A and spectral peak B are to Ba (NO3)2The main basis that particulate matter is identified, may be implemented
The qualitative detection of particulate matter ingredient.
By Ba (NO3)2The two-dimentional Raman spectrum of particulate matter constitutes one-dimensional Raman spectrum by the corresponding superposition of wavelength, by inclined
The method of least square method PLS mathematical modeling, may be implemented the quantitative detection of particulate matter constituent concentration.
Claims (1)
1. a kind of grain graininess measurement method based on two-dimentional Raman spectrum, includes the steps that following:
1) for certain particulate matter, each group particulate matter of known grain graininess is chosen, every group of particulate matter is identical particle
The particulate matter of granularity acquires the two-dimentional Raman spectrum of each group particulate matter of known particle, includes wavelength dimension and one-dimensional sky
Between dimension intensity signal；
2) the Characteristic Raman spectral peak of every group of particulate matter is intercepted；
3) mathematic(al) representation of Characteristic Raman spectral peak is obtained using 2-D data approximating method: two dimension is carried out to Characteristic Raman spectral peak
Gauss curve fitting analysis is overlapped fitting using the two-dimensional Gaussian function with different half peak breadths, obtains Characteristic Raman spectral peak
Two-dimensional Gaussian function expression formula；
4) the half peak breadth W for extracting Characteristic Raman spectral peak is obtained special according to the two-dimensional Gaussian function expression formula of Characteristic Raman spectral peak
Raman spectra is levied along the size of the half peak breadth W of Spatial Dimension, the Characteristic Raman scattering light of half peak breadth W characterization particulate matter exists
Disperse degree of the array type detector surface along Spatial Dimension；
5) the disperse degree for scattering light according to Characteristic Raman is in a linear relationship with grain graininess, fits the particle of particulate matter
Spend the relational expression between P and half peak breadth W；
6) for such particulate matter of grain graininess to be measured, acquisition is quasi- according to above-mentioned 2-D data secondly dimension Raman spectrum
The step of closing analysis, obtains its half peak breadth W, then, according to the pass between the grain graininess P and half peak breadth W of particulate matter
It is formula, realizes the measurement of grain graininess P.
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| IL306017B2 (en) | 2018-07-25 | 2024-10-01 | Nova Ltd | Optical technique for material characterization |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH01191711A (en) * | 1988-01-28 | 1989-08-01 | Nkk Corp | Operation of blast furnace |
| CN103698312A (en) * | 2013-12-31 | 2014-04-02 | 中国科学院地质与地球物理研究所 | Method for measuring order degree of dolomite based on laser Raman |
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2016
- 2016-04-21 CN CN201610257940.8A patent/CN105699357B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH01191711A (en) * | 1988-01-28 | 1989-08-01 | Nkk Corp | Operation of blast furnace |
| CN103698312A (en) * | 2013-12-31 | 2014-04-02 | 中国科学院地质与地球物理研究所 | Method for measuring order degree of dolomite based on laser Raman |
Non-Patent Citations (5)
| Title |
|---|
| Particle size and annealing ambient effect on properties of ZnO–Bi2O3–Mn2O3 varistor derived from ZnO micro- and nanoparticle powders;Rabab Khalid Sendi 等;《Superlattices and Microstructures》;20140305;212–225 |
| Sintering effect on crystallite size, hydrogen bond structure and morphology of the silane-derived silicon powders;Si-Si Liu 等;《Powder Technology》;20141215;40-46 |
| 不同原料合成的TiO2 的变温拉曼光谱分析;马利静等;《化学学报》;20061231;863～867 |
| 双钙钛矿Ln_2Ni/CoMnO_6体系结构及物性研究;刘文杰;《中国博士学位论文全文数据库 工程科技Ⅰ辑》;20150915;86-88 |
| 基于多尺度二维相关拉曼光谱的橄榄油掺杂检测;陈达等;《纳米技术与精密工程》;20160131;60-65 |
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