CN1160553C - Metal in-situ statistical-distribution analysis method - Google Patents
Metal in-situ statistical-distribution analysis method Download PDFInfo
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- CN1160553C CN1160553C CNB021171157A CN02117115A CN1160553C CN 1160553 C CN1160553 C CN 1160553C CN B021171157 A CNB021171157 A CN B021171157A CN 02117115 A CN02117115 A CN 02117115A CN 1160553 C CN1160553 C CN 1160553C
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- 238000009826 distribution Methods 0.000 title claims abstract description 30
- 238000004458 analytical method Methods 0.000 title claims abstract description 28
- 239000002184 metal Substances 0.000 title claims abstract description 13
- 229910052751 metal Inorganic materials 0.000 title claims abstract description 13
- 238000011065 in-situ storage Methods 0.000 title claims abstract description 7
- 238000001228 spectrum Methods 0.000 claims abstract description 22
- 238000005204 segregation Methods 0.000 claims abstract description 19
- 230000005284 excitation Effects 0.000 claims abstract description 18
- 239000000126 substance Substances 0.000 claims abstract description 18
- 230000001360 synchronised effect Effects 0.000 claims abstract description 10
- 239000000463 material Substances 0.000 claims abstract description 8
- 230000003595 spectral effect Effects 0.000 claims abstract description 8
- 239000000470 constituent Substances 0.000 claims description 14
- 239000011800 void material Substances 0.000 claims description 11
- 238000013019 agitation Methods 0.000 claims description 9
- 239000006104 solid solution Substances 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 7
- 239000006185 dispersion Substances 0.000 claims description 5
- 238000012360 testing method Methods 0.000 claims description 5
- 238000012113 quantitative test Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000001704 evaporation Methods 0.000 claims description 2
- 230000008020 evaporation Effects 0.000 claims description 2
- 239000011159 matrix material Substances 0.000 claims description 2
- 238000005070 sampling Methods 0.000 claims description 2
- 238000010183 spectrum analysis Methods 0.000 claims description 2
- 239000000203 mixture Substances 0.000 abstract description 11
- 239000007769 metal material Substances 0.000 abstract description 3
- 230000000704 physical effect Effects 0.000 abstract description 2
- 239000012535 impurity Substances 0.000 abstract 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 7
- 229910052799 carbon Inorganic materials 0.000 description 7
- 229910000831 Steel Inorganic materials 0.000 description 5
- 239000010959 steel Substances 0.000 description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 3
- 239000012769 display material Substances 0.000 description 3
- 239000011572 manganese Substances 0.000 description 3
- XKRFYHLGVUSROY-UHFFFAOYSA-N Argon Chemical compound [Ar] XKRFYHLGVUSROY-UHFFFAOYSA-N 0.000 description 2
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 2
- 238000003723 Smelting Methods 0.000 description 2
- 238000009749 continuous casting Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 229910001209 Low-carbon steel Inorganic materials 0.000 description 1
- PWHULOQIROXLJO-UHFFFAOYSA-N Manganese Chemical compound [Mn] PWHULOQIROXLJO-UHFFFAOYSA-N 0.000 description 1
- 244000137852 Petrea volubilis Species 0.000 description 1
- 241001417490 Sillaginidae Species 0.000 description 1
- 239000004411 aluminium Substances 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052786 argon Inorganic materials 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 239000007772 electrode material Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000695 excitation spectrum Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 229910052748 manganese Inorganic materials 0.000 description 1
- 238000004452 microanalysis Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 229910052757 nitrogen Inorganic materials 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 235000021110 pickles Nutrition 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000010408 sweeping Methods 0.000 description 1
- WFKWXMTUELFFGS-UHFFFAOYSA-N tungsten Chemical compound [W] WFKWXMTUELFFGS-UHFFFAOYSA-N 0.000 description 1
- 229910052721 tungsten Inorganic materials 0.000 description 1
- 239000010937 tungsten Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The present invention belongs to the field that the physical properties of measured material are used for analyzing material, which mainly relates to the chemical composition of metal material and state analysis thereof. The metal in-situ statistical distribution analytical method comprises the following steps: exciting a light source system to implement continuous excitation without precombustion and synchronous scanning positioning for samples; dispersing excited spectra into line spectra; collecting and recording the spectral intensity of single spark discharge; carrying out statistic analysis to the line strength of collected and stored line spectra; and measuring the parameters of the chemical composition, the segregation degree, the porosity, the impurity distribution, etc. of the samples by computer processing. The present invention has the advantage of high and accuracy measuring speed, and simultaneously, various element parameters in the samples can be measured by single scanning.
Description
Technical field
The invention belongs to the field of coming analysis of material by the physical property of measuring material, relate generally to the chemical constitution and the state analysis thereof of metal material.
Background technology
The content of chemical constitution, segregation, surface imperfection, snotter is most important four contents of Iron and Steel Production quality control.In the prior art, adopt sufur printing to test and check element segregation or distribution in steel, come the inspection center loose with pickle test, adopt pattern, the distribution of metallographic method check snotter, above-mentioned classic method formality is cumbersome, analysis speed is slow, the result can't quantification (publishing house of " optical micro analysis " P21-40 Sun Ye English work Tsing-Hua University, 1996.10).
Spark source Atomic Emission Spectrometer AES of the prior art can carry out the chemical composition analysis in the material, but can only obtain each element average content, can't carry out the distributional analysis of composition, more can't carry out degree of segregation, fraction void, the quantitative distributional analysis of snotter.Trace it to its cause, mainly be that present spark source Atomic Emission Spectrometer AES exists following three major technique defectives: one, static state excites.Keep sample to fix in the analytic process, just excite the spot of a 5mm diameter of fusion at every turn, for static state excites, can not write down the position of impulse discharge, thereby can't carry out the distributional analysis of element and snotter; Two, integrated detected mode.The object of gathering is the integral voltage of several thousand discharge pulses, can't discern each spark character, thereby can't resolve the chemical information of containing in the single spark discharge; Three, high energy pre-burning.Through 20 to 30 seconds pre-burning, most of snotter was heavily melted, thereby can't observe the unusual spark of those reflection snotter information.
Summary of the invention
The object of the present invention is to provide a kind of metal in-situ statistical-distribution analysis method that can directly measure metal material chemical constitution, elemental composition distribution, degree of segregation, fraction void and snotter distribution fast and accurately.
Based on above-mentioned purpose, technical scheme of the present invention is as follows:
Metal in-situ statistical-distribution analysis method of the present invention adopts spectral analysis, and its concrete determination step is as follows:
Excitation light source system is located with synchronous scanning sample enforcement continuous agitation---and the spectral dispersion that excites becomes line-spectra, and---gathering and write down spectral intensity of single spark discharge---adds up parsing and quantitative test to the line spectrum line strength of gathering and store, thus parameters such as the chemical constitution of working sample and structure.Existing division is as follows:
One. excitation light source system is implemented continuous agitation and synchronous scanning location to sample
When the sample spark excitation is discharged, specimen holder is held on the continuous agitation synchronous scanning positioning system (a kind of programmable automatic scanning stage apparatus), the electrode of relative excitation source, make between sample and the electrode and can on X-Y axle both direction, do relative motion, or carry out circular motion, sample is implemented to move dynamic continuous agitation spark discharge, pass through the position of detecting device real time record single spark discharge simultaneously, realize continuous agitation and location scanning, and in continuous agitation synchronized positioning scanning process, determine the relative zero of a location.
Two. the excitation spectrum chromatic dispersion is become line-spectra
Excitation light source system enters monochrometer to the spectrum that sample excited by entrance slit, and chromatic dispersion becomes line-spectra, and enters the acquisition system of the spectral intensity of single spark discharge by exit slit.The number of exit slit reaches 3-55, promptly adopts 3-55 multichannel line-spectra passage, simultaneously a plurality of elements in the analytic sample.
Three. gather and write down line strength of single spark discharge
The line-spectra that is passed through by exit slit enters the photomultiplier of acquisition and recording system, be converted into electric signal, after amplifying, carry out A/D by collection plate and transform, with digital form real time record and storage, promptly realize the collection and the record of the spectral intensity of single spark discharge.
Four. the line-spectra intensity of gathering and store is added up parsing
The line-spectra intensity of the single spark discharge of gathering and storing enters computing machine, adds up parsing by relevant software, thus the chemical constitution of working sample, component segregation degree, fraction void and snotter distribution etc.Its excitation source adopts the continuous mobile mode of excitation of no pre-burning, and when statistics was resolved quantitative test, its concrete quantitative formula of corresponding impulse discharge was:
R
i＝I
a，i/I
r，i＝KC
i b
In the formula, R
iBe line strength ratio of the i time discharge measuring, I
A, iAnd I
R, iThe intensity level of analytical line and reference line when being respectively the i time measurement, C
iBe the constituent content (promptly measuring the content of being asked) of the i time shot point, b is the constant relevant with spectral line character, and the b value is 0-1; K forms a relevant parameter with evaporation, excitation process and the sample of sample.
Can determine the constituent content that sample i is ordered thus.
Statistical-distribution analysis method of the present invention comes the chemical analysis of calculation sample with the assembly average of all impulse discharge institute corresponding element content in the sweep limit, and its quantitative formula is:
C is the assembly average of constituent content in the sample in the formula, and Ci is the constituent content that sample i is ordered, and n is the number of test points of retouching in the scope of sweeping.
Ratio with the content mean value of the content of the peak of a certain element and this element each point characterizes the elements segregation degree, and its quantitative formula is:
S=C
Max/ C
0Also can distribute as the sign of degree of segregation by the interior different content impulse discharge frequency of whole scanning area.
Wherein S represents certain element segregation degree, C
MaxBe the line of scanning or the mxm. on the face, C
0Average content for this line or face.
With the intensity distributions of matrix element or be converted into the fraction void that mode that apparent density distributes is come exosyndrome material;
Calculate the content of non-solid solution attitude metal with unusual impulse discharge proportion in all impulse discharges, its quantitative formula is:
C
insol＝C·n/N
C wherein
InsolRepresent the content of certain element non-solid solution attitude, C is the content of this element in the sample, and n is the impulse discharge number of times of non-solid solution attitude, and N is all impulse discharge number of times.
Determine the kind of snotter by the mode of multi-channel synchronous parsing.When discharge is carried out,, can unite parsing by the composition of predefined snotter kind because the Local enrichment of snotter makes line strength of tramp element strengthen greatly on snotter.For example, by measuring the abnormal signal that impulse discharge produced of variety classes A1 each component of snotter (oxygen, aluminium, nitrogen ...), difference in conjunction with the different shape spark behavior of each element is synthesized parsing, can realize the classification of A1 snotter, qualitative, quantitative test.
Distribute with the frequency of each channel abnormal impulse discharge intensity and to characterize the size-grade distribution of snotter.There is corresponding relation between the unusual spark frequency intensity distributions of different grain size snotter and the size-grade distribution of snotter.
Single spark discharge intensity (or constituent content) and position with each element are parameter, with two dimension, three-dimensional picture mode display element component distributing.
With the impulse discharge intensity of non-solid solution attitude metal or inclusion content and position is parameter, shows that with two dimension, three-dimensional picture mode snotter distributes.
Compared with prior art, the present invention has following advantage:
＜1〉single pass analysis obtains the quantitative analysis results of various constituent contents in the material, elemental composition distribution, degree of segregation, fraction void and snotter simultaneously.Analytical test information is comprehensive, and contrast property is strong.
＜2〉chemical constitution of coming calculation sample with the mean value of the constituent content of each point in the sweep limit, the difference of sampling spot when having avoided element segregation and the error brought, analysis result is more reliable.
＜3〉with each element component content on X-Y scheme display material arbitrfary point, the line, and indicate the position that macrosegregation occurs, the result is quantitatively accurate, and is practical.
＜4〉with the loose situation on X-Y scheme display material arbitrfary point, the line, and indicate the position of serious thin appearance, theorem is accurate as a result, and is practical.
＜5〉with the distribution of elemental composition and snotter in the three-dimensional graph display material, visual in image.
＜6〉analytical cycle is short, is applicable to the monitoring of production scene.
Description of drawings
Accompanying drawing 1 is the 3-D display figure of carbon content among the sample A2 in the embodiment of the invention.
Accompanying drawing 2 is the two-dimentional circle of equal altitudes of carbon content among the sample A2 in the embodiment of the invention.
Accompanying drawing 3 is the two-dimentional circle of equal altitudes of carbon content among the sample A1 in the embodiment of the invention.
Accompanying drawing 4 is the component distributing figure of deposited p-block element p manganese between weld seam among the sample C in the embodiment of the invention.
In accompanying drawing 1, X, y axle are the displacement (mm) of sample motion scan, and Z axle (longitudinal axis) is line strength, i.e. constituent content.
Embodiment
Adopt metal in-situ statistical-distribution analysis method of the present invention that chemical constitution, degree of segregation, fraction void and the snotter of three samples are analyzed.
Three samples are respectively: sample A is general carbon continuous casting steel billet, and wherein A1 has carried out light pressure by roll to strand after continuous casting steel billet goes out conticaster, and A2 then is the strand of pressing without light; Sample B is the square billet of 20MnSi; Sample C is the boats and ships low-carbon steel weld metal.Table 1 is listed the chemical constitution of sample A, the design when smelting of B steel grade, the designing chemical composition when sample C then smelts for mother metal respectively.
From sample, cut sample, and sample processed a plane, grind fresh with sand paper or grinding machine, sample holder is on continuous agitation synchronous scanning positioning system (a kind of programmable automatic scanning stage apparatus is referring to applying for that application number the preceding is 02116294.8 patent application document).
Before spark spectrum excites, the one, use the argon cleaning excitation light source system, the one, by continuous agitation synchronous scanning positioning system clamping sample, determine a relative zero.
Start excitation light source system then, sample is implemented continuous agitation and motion scan, sample scanning is the scanning of wire face, and along X-direction continuous sweep, sweep velocity is 1mm/sec, is step-by-step movement scanning along Y direction.
The shooting parameter of the spark spectrum of three samples is: frequency 500HZ, and inductance 130 μ H, electric capacity 2.2 μ F, resistance 1.0 Ω, sparking distance 2.0mm, electrode material are 45 ° of corner angle staff tungsten electrodes, diameter 5mm.
Moving continuously excites the spectrum that is produced through the monochrometer entrance slit, enter beam splitting system, through grating dispersion is line-spectra, and through the monochrometer exit slit, detected system gathers, the line-spectra signals collecting speed of single spark discharge is the 100kHz/ passage, transform through A/D,, be stored in computing machine with the digital form record, after software processes, measure the content of each element in the sample.
Table 2 is listed the wavelength and the constituent content of each element in three samples.Reference element during mensuration is Fe.
After the contained element determination in each sample, shown the 3-D display figure (corresponding to accompanying drawing 1) of carbon content among the sample A2 with three dimensional form.The two-dimentional circle of equal altitudes (corresponding to accompanying drawing 4 and accompanying drawing 3) that has shown carbon content among sample A1 and the A2 with two dimensional form.
Accompanying drawing 1 has illustrated the distribution of carbon in the sample.The segregation situation of also having represented the sample chemical composition.
The designing chemical composition (weight %) of table 1 embodiment sample when smelting
| Sample for determining component content number | C | Si | Mn | P | S | Al | Cu | Fe |
| A 1.A 2 | 0.2 | 0.07 | 0.6 | 0.02 | 0.05 | 0.06 | 0.05 | 99 |
| B | 0.2 | 0.3 | 1.1 | 0.02 | 0.02 | 0.002 | 0.2 | 98 |
| C | 0.07 | 0.3 | 0.4 | 0.01 | 0.003 | 0.05 | 0.006 | 99 |
Constituent content (wt) and wavelength that three samples of table 2 embodiment are measured
| Sample for determining component content number | C | Si | Mn | P | S | Al | Cu | Fe | |
| A1 | Wavelength nm | 193.0 | 288.1 | 293.3 | 178.3 | 180.7 | 394.4 | 327.3 | 187.7 |
| Content % | 0.195 | 0.077 | 0.63 | 0.026 | 0.035 | 0.055 | 0.057 | Surplus | |
| Degree of segregation | 1.18 | 1.17 | 1.10 | 1.19 | 1.17 | 2.00 | 1.32 | / | |
| Snotter | /- | / | / | / | / | Al 2O 2+AlN 0.0035 | / | / | |
| Fraction void | / | / | / | / | / | / | / | 7.40 | |
| A2 | Wavelength nm | 193.0 | 288.1 | 293.3 | 178.3 | 180.7 | 394.4 | 327.3 | 187.7 |
| Content % | 0.205 | 0.075 | 0.65 | 0.025 | 0.050 | 0.061 | 0.055 | Surplus | |
| Degree of segregation | 1.51 | 1.33 | 1.17 | 1.80 | 1.30 | 1.97 | 1.82 | / | |
| Snotter | / | / | / | / | / | Al 2O 3+AlN 0.0035 | / | / | |
| Fraction void | / | / | / | / | / | / | / | 7.30 | |
| B C | Wavelength nm | 193.0 | 288.1 | 293.3 | 178.3 | 180.7 | 394.4 | 327.3 | 187.7 |
| Content % | 0.23 | 0.33 | 1.13 | 0.017 | 0.027 | 0.0022 | 0.21 | Surplus | |
| Degree of segregation | 2.16 | 1.49 | 1.67 | 1.25 | 2.24 | 1.32 | 1.27 | / | |
| Snotter | / | / | MnS 0.023 | / | / | / | / | / | |
| Fraction void | / | / | / | / | / | / | / | 7.21 | |
| Wavelength nm | 193.0 | 288.1 | 293.3 | 178.3 | 180.7 | 394.4 | 327.3 | 187.7 | |
| Content % | 0.073 | 0.292 | 0.441 | 0.011 | 0.0032 | 0.047 | 0.0056 | Surplus | |
Claims (8)
1, a kind of metal in-situ statistical-distribution analysis method, adopt spectral analysis, the sample that utilizes the electrode pair in the excitation light source system to test is implemented the spark excitation discharge, the spectrum that is excited becomes line-spectra by the monochrometer chromatic dispersion, and pass through exit slit, enter the photomultiplier of acquisition and recording system, be converted into current signal by light signal, carrying out A/D after amplifying transforms, store with the digital form record, promptly realize the collection and the record of the spectral intensity of single spark discharge, by the related software of computing machine a line-spectra intensity of the single spark discharge of writing down and storing is added up parsing subsequently, thereby determine the chemical constitution of sample, degree of segregation, fraction void and snotter distribute, and it is characterized in that:
1. when the sample spark excitation is discharged, specimen holder is held on a kind of programmable automatic scanning stage apparatus, the electrode of relative excitation light source system, make between sample and the electrode and can on X-Y axle both direction, do relative motion, or carry out circular motion, sample is implemented to move dynamic continuously sparking excite discharge,, realize the scanning of continuous agitation synchronized positioning simultaneously by the position of the position detector real time record single spark discharge on this device;
2. adopt 3---55 line-spectra passage, but i.e. a plurality of elements of analytic sample simultaneously once;
3. when the line-spectra impulse discharge intensity that sampling is stored was added up parsing and quantitative test, its excitation source adopted the continuous mobile mode of excitation of no pre-burning, and its concrete quantitative formula of corresponding impulse discharge is:
R
i＝I
a，i/I
r，i＝KC
i b
In the formula, R
iBe line strength ratio of the i time impulse discharge measurement, I
A, iAnd I
R, iThe intensity level of analytical line and reference line when being respectively the i time measurement, C
iBe the constituent content of the i time shot point, b is the constant relevant with spectral line character, and the b value is 0-1; K forms a relevant parameter with evaporation, excitation process and the sample of sample.
2, statistical-distribution analysis method according to claim 1 is characterized in that the mean value with the constituent content of each point in the sweep limit is the chemical constitution of calculation sample, and its quantitative formula is:
C is the assembly average of constituent content in the sample in the formula, and Ci is the constituent content that sample i is ordered, and n is the number of test points in the sweep limit.
3, statistical-distribution analysis method according to claim 1 is characterized in that characterizing the elements segregation degree with the ratio of the content mean value of the content of the peak of a certain element and this element each point, and its quantitative formula is:
S＝C
max/C
0
Wherein S represents certain element segregation degree, C
MaxBe the line of scanning or the mxm. on the face, C
0Average content for this line or face.
4, statistical-distribution analysis method according to claim 1 is characterized in that with the intensity distributions of matrix element or is converted into apparent density coming the exosyndrome material fraction void.
5, statistical-distribution analysis method according to claim 1 is characterized in that calculating the content of non-solid solution attitude metal with unusual spark in the shared ratio of all impulse discharges, and its quantitative formula is:
C
insol＝C·n/N
C wherein
InsolRepresent the content of certain element non-solid solution attitude, C is the content of this element in the sample, and n is the impulse discharge number of times of non-solid solution attitude, and N is all impulse discharge number of times.
6, statistical-distribution analysis method according to claim 1 is characterized in that determining by the synthetic mode of resolving of multi-channel synchronous the kind of snotter, and distributing with the frequency of each channel abnormal spark intensity characterizes the size-grade distribution of snotter.
7, statistical-distribution analysis method according to claim 1 and 2 is characterized in that single spark discharge intensity and the position with each element is parameter, with two dimension, three-dimensional picture mode display element component distributing.
8, statistical-distribution analysis method according to claim 6 is characterized in that single spark discharge intensity and the position with non-solid solution attitude metal is parameter, shows that with two dimension, three-dimensional picture mode snotter distributes.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB021171157A CN1160553C (en) | 2002-04-19 | 2002-04-19 | Metal in-situ statistical-distribution analysis method |
| FR0302027A FR2838827B3 (en) | 2002-04-19 | 2003-02-19 | ANALYSIS METHOD OF STATISTICAL DISTRIBUTION OF ORIGINAL POSITION FOR A METAL |
| EP03009038A EP1355145A1 (en) | 2002-04-19 | 2003-04-17 | A method for analysing metals in the fundamental state utilizing the statistical distribution of elements |
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|---|---|---|---|
| CNB021171157A CN1160553C (en) | 2002-04-19 | 2002-04-19 | Metal in-situ statistical-distribution analysis method |
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| CN1375692A CN1375692A (en) | 2002-10-23 |
| CN1160553C true CN1160553C (en) | 2004-08-04 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101819150A (en) * | 2010-04-21 | 2010-09-01 | 天津钢铁集团有限公司 | Analytical method for component segregation of continuous casting slab |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100343656C (en) * | 2003-02-25 | 2007-10-17 | 鞍钢股份有限公司 | Spectral analysis method for online detecting the number and content of inclusions in steel |
| CN100343657C (en) * | 2003-02-25 | 2007-10-17 | 鞍钢股份有限公司 | Spectral analysis method for online detecting size distribution of inclusions in steel |
| CN101105456B (en) * | 2007-08-13 | 2010-07-21 | 攀钢集团攀枝花钢铁研究院 | Alloy steel sample impurity content quick determination and analysis method |
| CN101294905B (en) * | 2008-05-22 | 2011-05-04 | 浙江沃尔达铜业有限公司 | Method for fast detecting metal composition |
| CN101949853B (en) * | 2010-08-16 | 2012-11-14 | 钢铁研究总院 | Nonplanar surface in-situ statistical distribution analysis method of material |
| CN101949851A (en) * | 2010-08-16 | 2011-01-19 | 河北钢铁股份有限公司邯郸分公司 | Method for rapidly testing casting blank segregation by utilizing direct-reading spectrometer |
| CN105319185A (en) * | 2014-06-09 | 2016-02-10 | 鞍钢股份有限公司 | Spark spectrum assay method of elementary calcium and combined calcium in steel |
| WO2016006147A1 (en) | 2014-07-09 | 2016-01-14 | Ｊｆｅスチール株式会社 | Method for analyzing nitrogen in metal samples, device for analyzing nitrogen in metal samples, method for adjusting nitrogen concentration in molten steel, and steel production method |
| CN115656143B (en) * | 2022-10-28 | 2023-11-21 | 钢研纳克检测技术股份有限公司 | Measurement deviation correction method and system for spark discharge analysis of large-size metal material |
-
2002
- 2002-04-19 CN CNB021171157A patent/CN1160553C/en not_active Expired - Lifetime
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101819150A (en) * | 2010-04-21 | 2010-09-01 | 天津钢铁集团有限公司 | Analytical method for component segregation of continuous casting slab |
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| CN1375692A (en) | 2002-10-23 |
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