CN101105456B - Alloy steel sample impurity content quick determination and analysis method - Google Patents

Alloy steel sample impurity content quick determination and analysis method Download PDF

Info

Publication number
CN101105456B
CN101105456B CN2007102013453A CN200710201345A CN101105456B CN 101105456 B CN101105456 B CN 101105456B CN 2007102013453 A CN2007102013453 A CN 2007102013453A CN 200710201345 A CN200710201345 A CN 200710201345A CN 101105456 B CN101105456 B CN 101105456B
Authority
CN
China
Prior art keywords
threshold value
bar number
content
spectrum
inclusion
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN2007102013453A
Other languages
Chinese (zh)
Other versions
CN101105456A (en
Inventor
徐本平
石瑞成
钟华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Pangang Group Panzhihua Iron and Steel Research Institute Co Ltd
Original Assignee
Pangang Group Panzhihua Iron and Steel Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Pangang Group Panzhihua Iron and Steel Research Institute Co Ltd filed Critical Pangang Group Panzhihua Iron and Steel Research Institute Co Ltd
Priority to CN2007102013453A priority Critical patent/CN101105456B/en
Publication of CN101105456A publication Critical patent/CN101105456A/en
Application granted granted Critical
Publication of CN101105456B publication Critical patent/CN101105456B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention discloses an analysis method for fast determining the mixture content of alloy steel, which belongs to the technical field of metal material inspecting. The sample MxNy to be measured is put into inertia gas atmosphere and is charged, and the single spark intensity distribution spectrograms M element and N element are obtained, the strength ratio between the elements and the iron element is calculated, the threshold value is determined, and at the same time, the data which is higher than the threshold value of the M element and N element is input the data processing system, the strip number which is simultaneously higher than the threshold value of the M element and N element divides the total spectrum strip number, and the MxNy inclusion content is obtained. The invention can fast and accurately inspect and determine the content of the oxygen inclusion, the carbon inclusion, the nitrogen inclusion or the sulfur inclusion in the alloy, and also can directly inspect and determine the control content of an element, and the quality controlling request in the process of steel and iron concise processing is suited.

Description

A kind of analytical approach of alloy steel sample impurity content quick determination
Technical field
The present invention relates to a kind of analytical approach, belong to metal material detection technique field at alloy steel sample impurity content quick determination.
Background technology
Oxide inclusions has very big influence to the characteristics such as processing characteristics, welding performance, fatigue resistence and surface quality of steel in the steel.With clean steel, IF steel is many new kinds of steel of representative, requires oxide inclusions in the steel is carried out strict control, to improve the degree of purity of steel, improves its performance; In addition, oxide inclusions is analyzed also requirement in the samples such as heavy rail continuous casting billet can provide it to distribute fast and accurately, in order to instruct the further investigation of technology problem.Therefore, great to the analysis significance of oxide inclusions in the steel, it is particularly urgent to study its new analytical approach.
Direct-reading spectrometer is a large-scale precision detecting instrument more advanced in the world today, is applied to the analysis of alloy steel external refining and sample thereof more and more widely.But when it is used for the oxide inclusions of analyzing and testing steel,, then there is analytical cycle oversize (generally needing time a couple of days) and is difficult to reflect drawbacks such as the true distribution situation of oxide inclusions if carry out according to traditional analytical approach.And there is following defective in the inclusion analysis software that has in the original equipment: 1. adopt the absolute strength of optic spectrum line to analyze, can not overcome the background interference that iron-based brings; 2. it is lower to analyze the threshold value value, is difficult for the data processing in later stage; 3. can not clearly differentiate for oxide inclusions, the spectrum phenomenon of the paradoxical discharge of carbonide, sulfide, nitride etc. is not distinguished.Application number be CN03111077.0 patent disclosure a kind of rapid analysis at oxide inclusions, but when calculating oxygen is mingled with content, need with standard model drawing standard curve, be mingled with the uniform standard model of content and under prior art, be difficult to accomplish and will prepare, and single spark spectrum analysis relates to oxide on surface and is mingled with Determination on content, need chemical method and do typical curve with standard model, the oxide inclusion content that relates to unit volume, the corresponding relation between the two is not accurate enough.Adopt chemical method drawing standard curve can not satisfy quick Testing requirement.So far, do not see there is fast, comprehensively, accurately measures the relevant report that is mingled with the analysis on Content method in the steel.
Summary of the invention
The purpose of this invention is to provide a kind of alloy steel sample impurity compound M xN yThe spectroscopic analysis methods of content quick determination.
To achieve these goals, the present invention adopts following technical scheme:
A kind of alloy steel sample impurity compound M xN yThe spectroscopic analysis methods of content quick determination is characterized in that: it is that ratio with M element or N element spectral singularity bar number and total spectrum bar number calculates M element or N element inclusion content, molecular formula M xN yIn x, y be the simplest ratio of integers of M element and N pantogen subnumber in this compound, as Al 2O 3Middle x is 2, and y is 3;
It comprises the steps:
A, the single spark spectrum data of collection:
Sample is placed on excites on the platform, in argon gas atmosphere, discharge, utilize single spark spectrum analysis system with in certain integral time, the signal strength values of the impulse discharge of a plurality of elements is all noted in real time, utilize corresponding software that spark spectrum is decomposed and come, obtain single spark intensity distribution spectrogram of element;
B, calculating specific strength;
C, set the threshold value of M element, N element respectively, the threshold value formula: Im=Io+K σ, Io are average specific intensity, and K=4, σ are the specific strength standard deviation;
D, the data that are higher than M element threshold value or N element threshold value enter data handling system, calculate inclusion content with the spectrum bar number that is higher than threshold value divided by total spectrum bar number: divided by total spectrum bar number, calculate the M element and be mingled with the compound total content with the spectrum bar number that is higher than M element threshold value; , calculate the N element and be mingled with the compound total content divided by total spectrum bar number with the spectrum bar number that is higher than N element threshold value; Divided by total spectrum bar number, calculate M with the spectrum bar number that is higher than M element threshold value and N element threshold value simultaneously xN yInclusion content.
In the methods of the invention, M xN yIn the N element be oxygen, nitrogen, sulphur or carbon.
Can also directly calculate a certain elemental impurities content with the inventive method.
Wherein, specific strength is calculated with " M element-intensities/ferro element intensity " or " N element-intensities/ferro element intensity ", as: aluminium element specific strength=aluminium element intensity/ferro element intensity, element silicon specific strength=element silicon intensity/ferro element intensity, oxygen element specific strength=oxygen element intensity/ferro element intensity.
The M element is the tramp element in the alloy steel, as: elements such as aluminium, silicon, manganese, magnesium, calcium, titanium, chromium.
The inventive method has following advantage and good effect:
1, calculate inclusion content with spectrum bar number, do not need standard model and determine to be mingled with content by chemical method production standard curve, the result more accurately, reliably.
2, available Microsoft-Excel etc. is compiled into corresponding routine analyzer software, as long as a few minutes just can be measured various inclusion contents, has greatly improved analysis efficiency.
3, not only satisfied the present steel industry of China oxide inclusions in the steel has been analyzed the ground requirement, and be that the new function of developing other large-scale instrument and equipment from now on also has certain demonstration reference.
Description of drawings
Fig. 1 is a PD3 heavy rail example cross section analysis sampling point diagram;
Fig. 2 is aluminium element list spark intensity figure;
Fig. 3 is oxygen element list spark intensity figure;
Fig. 4 is that stainless steel oxide is mingled with the component distribution plan;
Fig. 5 is that stainless steel oxide is mingled with the total amount distribution plan;
Fig. 6 is a continuous casting square billet sampling spot distribution plan.
Embodiment
Prove the accuracy and the reliability of the inventive method below by the test example.
Test example 1
Adopt the metallographic examination method to compare test, accuracy and reliability with checking the inventive method the results are shown in Table 1.
As can be seen from Table 1: adopt the analysis result basically identical of metallographic examination method and the inventive method, thereby the spectrographic method that has proved oxide inclusions is accurately and reliably.Because the metallographic examination field number only is 0.8mm, analyzes 38 visual fields continuously, can not cover spectrum visual field (diameter is 9mm) fully, and careless omission is arranged unavoidably, so spectrum oxide inclusions analysis result is slightly high, is rational.
Below in conjunction with embodiment the specific embodiment of the present invention and advantage are further described, therefore do not limit the present invention among the described scope of embodiments.
Embodiment 1
Adopt analytical approach of the present invention that PD3 heavy rail example cross section is analyzed
1), PD3 heavy rail sample is placed on excites on the platform, in argon gas atmosphere, discharge, utilize single spark spectrum analysis system with in certain integral time, the signal strength values of the impulse discharge of a plurality of elements is all noted in real time, utilize corresponding software that spark spectrum is decomposed and come, obtain single spark intensity distribution spectrogram of element.The sample sampling spot is seen accompanying drawing 1.Element list spark intensity is an example with aluminium, oxygen element, sees accompanying drawing 2,3.
2), calculate each element specific strength respectively.
3), by formula Im=Io+K σ calculates and respectively is mingled with monitoring elements threshold value and metallic element or element silicon threshold value, is higher than the data handling system that enters that is mingled with monitoring elements oxygen threshold value and metallic element or element silicon threshold value simultaneously.
4), carry out data processing, the spectrum total number of present embodiment is 6064, is example with PD3-1#MnO, PD3-1#MnO content=11/6064=0.001814, data processed result sees Table 2, table 3.Other sampling spot data processing method is identical with heavy rail PD3-1# sampling spot data processing method.
Embodiment 2
Adopt the inventive method that the stainless steel sample is analyzed
The analysis that distributes for oxide inclusions in the stainless steel of centrifugal casting, induction furnace melting (4# sample) and electrosmelting, two technological processs of snotter refining (5# sample) sees Table 4, stainless steel oxide is mingled with the component distribution and sees that accompanying drawing 4, stainless steel oxide are mingled with the total amount distribution and see accompanying drawing 5.
From table 4 and accompanying drawing 4,5, can see stainless steel 4# sample TiO 2, CaO, the higher total amount that causes of MgO content be than stainless steel 5# sample height.
Embodiment 3
Adopt the inventive method that the continuous casting square billet sample is analyzed
Continuous casting square billet sample sampling spot distribution plan is seen accompanying drawing 6, and continuous casting square billet sample oxygen is mingled with analysis result and sees Table 5～table 12.
For continuous casting square billet, because water delivering orifice technology controlling and process difference, 1#, 3# adopt the mouth of a river, 4 hole, and 2#, 4# adopt the mouth of a river, 2 hole.From table 5～table 12 as can be seen: 1#, 3# strand oxide inclusions are evenly distributed, and undulatory property is little, illustrate that the slab quality of the mouth of a river, 4 hole production is better; 2#, 4# strand oxide inclusions skewness, undulatory property is big, illustrates that the slab quality of the mouth of a river, 2 hole production is relatively poor.
The analysis result of table 1 spectroscopic methodology oxide inclusions and the metallographic rating result table of comparisons
Figure G20071K1345320070813D000041
Each sampling spot oxygen of table 2 is mingled with spectrum bar number
PD3-1# PD3-2# PD3-3# PD3-4# PD3-5#
MnO 11 13 5 4 4
Cr2O3 1 0 1 0 0
MgO 1 1 2 4 0
CaO 7 4 4 4 6
TiO 5 15 14 1 8
SiO2 10 4 8 8 2
Al2O3 6 8 18 8 8
Total amount 41 45 52 29 28
Table 3 sampling spot oxygen is mingled with content
PD3-1#(％) PD3-2#(％) PD3-3#(％) PD3-4#(％) PD3-5#(％)
MnO 0.1814 0.2144 0.0825 0.0660 0.0660
Cr 2O 3 0.0165 0.0000 0.0165 0.0000 0.0000
MgO 0.0165 0.0165 0.0330 0.0660 0.0000
CaO 0.1154 0.0660 0.0660 0.0660 0.0989
TiO 0.0825 0.2474 0.2309 0.0165 0.1319
SiO 2 0.1649 0.0660 0.1319 0.1319 0.0330
Al 2O 3 0.0989 0.1319 0.2968 0.1319 0.1319
Total amount 0.6761 0.7421 0.8575 0.4782 0.4617
Table 4 stainless steel oxide inclusion content distribution table (%)
Oxide BXG4# BXG5#
Al 2O 3 0.1726 0.1479
TiO 2 0.2219 0.1479
SiO 2 0.0493 0.0493
CaO 0.1972 0.0740
MgO 0.0740 0.0247
MnO 0.0000 0.0000
Cr 2O 3 0.2219 0.2465
Total amount 0.9369 0.6903
Table 5 1# strand sampling spot oxygen is mingled with spectrum bar number
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-111 1 3 2 2 1 4 0 13
FP-112 1 1 1 1 1 2 0 7
FP-113 1 4 3 3 0 4 4 19
FP-121 1 3 0 1 1 1 1 8
FP-122 4 2 0 2 4 2 1 15
FP-123 2 2 0 2 1 2 1 10
FP-131 0 1 1 1 0 3 2 8
FP-132 2 2 0 1 3 0 0 8
FP-133 1 2 2 3 1 4 1 14
FP-141 0 2 1 3 0 2 0 8
FP-142 2 1 3 3 4 0 0 13
FP-143 0 2 2 3 0 4 3 14
FP-151 1 1 0 1 1 2 1 7
FP-152 2 2 2 2 0 4 0 12
FP-153 0 2 1 2 1 1 2 9
Table 6 1# strand sampling spot oxygen is mingled with content
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-111 0.0493 0.1479 0.0986 0.0986 0.0493 0.1971 0.0000 0.6407
FP-112 0.0493 0.0493 0.0493 0.0493 0.0493 0.0986 0.0000 0.3452
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-113 0.0493 0.1971 0.1479 0.1479 0.0000 0.1971 0.1971 0.9364
FP-121 0.0493 0.1479 0.0000 0.0493 0.0493 0.0493 0.0493 0.3943
FP-122 0.1971 0.0986 0.0000 0.0986 0.1971 0.0986 0.0493 0.7393
FP-123 0.0986 0.0986 0.0000 0.0986 0.0493 0.0986 0.0493 0.4931
FP-131 0.0000 0.0493 0.0493 0.0493 0.0000 0.1479 0.0986 0.3943
FP-132 0.0986 0.0986 0.0000 0.0493 0.1479 0.0000 0.0000 0.3943
FP-133 0.0493 0.0986 0.0986 0.1479 0.0493 0.1972 0.0493 0.6903
FP-141 0.0000 0.0986 0.0493 0.1479 0.0000 0.0986 0.0000 0.3943
FP-142 0.0986 0.0493 0.1479 0.1479 0.1972 0.0000 0.0000 0.6410
FP-143 0.0000 0.0986 0.0986 0.1479 0.0000 0.1972 0.1479 0.6903
FP-151 0.0493 0.0493 0.0000 0.0493 0.0493 0.0986 0.0493 0.3450
FP-152 0.0986 0.0986 0.0986 0.0986 0.0000 0.1972 0.0000 0.5917
FP-153 0.0000 0.0986 0.0493 0.0986 0.0493 0.0493 0.0986 0.4438
Table 7 2# strand sampling spot oxygen is mingled with spectrum bar number
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-211 1 2 2 1 1 3 2 12
FP-212 2 2 0 2 3 0 0 9
FP-213 2 3 1 1 1 4 1 13
FP-221 2 1 1 2 1 1 1 9
FP-222 1 1 1 0 1 1 0 5
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-223 1 2 0 3 0 2 1 9
FP-231 1 1 1 1 1 2 1 8
FP-232 1 1 0 0 2 2 1 7
FP-233 2 5 1 2 1 1 1 13
FP-241 2 5 1 2 1 1 1 13
FP-242 1 0 0 0 0 0 0 1
FP-243 1 1 1 2 1 2 0 8
FP-251 3 2 1 2 0 5 2 15
FP-252 3 2 1 2 0 5 2 15
FP-253 3 2 1 2 0 5 2 15
Table 8 2# strand sampling spot oxygen is mingled with content
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-211 0.0493 0.0986 0.0986 0.0493 0.0493 0.1479 0.0986 0.5917
FP-212 0.0986 0.0986 0.0000 0.0986 0.1479 0.0000 0.0000 0.4438
FP-213 0.0986 0.1479 0.0493 0.0493 0.0493 0.1972 0.0493 0.6410
FP-221 0.0986 0.0493 0.0493 0.0986 0.0493 0.0493 0.0493 0.4438
FP-222 0.0493 0.0493 0.0493 0.0000 0.0493 0.0493 0.0000 0.2465
FP-223 0.0493 0.0986 0.0000 0.1479 0.0000 0.0986 0.0493 0.4438
FP-231 0.0493 0.0493 0.0493 0.0493 0.0493 0.0986 0.0493 0.3945
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-232 0.0493 0.0493 0.0000 0.0000 0.0986 0.0986 0.0493 0.3452
FP-233 0.0986 0.2465 0.0493 0.0986 0.0493 0.0493 0.0493 0.6410
FP-241 0.0986 0.2465 0.0493 0.0986 0.0493 0.0493 0.0493 0.6410
FP-242 0.0493 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0493
FP-243 0.0493 0.0493 0.0493 0.0986 0.0493 0.0986 0.0000 0.3943
FP-251 0.1479 0.0986 0.0493 0.0986 0.0000 0.2465 0.0986 0.7396
FP-252 0.1479 0.0986 0.0493 0.0986 0.0000 0.2465 0.0986 0.7396
FP-253 0.1479 0.0986 0.0493 0.0986 0.0000 0.2465 0.0986 0.7396
Table 9 3# strand sampling spot oxygen is mingled with spectrum bar number
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-311 1 2 0 2 1 1 1 8
FP-312 2 2 1 4 3 4 1 17
FP-313 1 2 0 1 1 3 0 8
FP-321 0 2 1 2 0 3 2 10
FP-322 1 2 2 4 2 3 2 16
FP-323 1 2 1 3 0 2 2 11
FP-331 1 2 1 3 0 2 2 11
FP-332 1 0 0 0 1 0 0 2
FP-333 1 2 2 4 1 3 0 13
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-341 0 2 0 2 0 3 1 8
FP-342 1 1 1 0 2 2 0 7
FP-343 0 2 1 3 0 2 3 11
FP-351 2 3 1 4 0 6 2 18
FP-352 2 4 1 4 0 5 0 16
FP-353 1 3 1 3 0 2 1 11
Table 10 3# strand sampling spot oxygen is mingled with content
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-311 0.0493 0.0986 0.0000 0.0986 0.0493 0.0493 0.0493 0.3945
FP-312 0.0986 0.0986 0.0493 0.1972 0.1479 0.1972 0.0493 0.8383
FP-313 0.0493 0.0986 0.0000 0.0493 0.0493 0.1479 0.0000 0.3943
FP-321 0.0000 0.0986 0.0493 0.0986 0.0000 0.1479 0.0986 0.4931
FP-322 0.0493 0.0986 0.0986 0.1972 0.0986 0.1479 0.0986 0.7890
FP-323 0.0493 0.0986 0.0493 0.1479 0.0000 0.0986 0.0986 0.5424
FP-331 0.0493 0.0986 0.0493 0.1479 0.0000 0.0986 0.0986 0.5424
FP-332 0.0493 0.0000 0.0000 0.0000 0.0493 0.0000 0.0000 0.0986
FP-333 0.0493 0.0986 0.0988 0.1972 0.0493 0.1479 0.0000 0.6410
FP-341 0.0000 0.0986 0.0000 0.0986 0.0000 0.1479 0.0493 0.3945
FP-342 0.0493 0.0493 0.0493 0.0000 0.0986 0.0986 0.0000 0.3452
FP-343 0.0000 0.0986 0.0493 0.1479 0.0000 0.0986 0.1479 0.5421
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-351 0.0986 0.1479 0.0493 0.1971 0.0000 0.2957 0.0986 0.8871
FP-352 0.0986 0.1971 0.0493 0.1971 0.0000 0.2464 0.0000 0.7886
FP-353 0.0493 0.1479 0.0493 0.1479 0.0000 0.0986 0.0493 0.5421
Table 11 4# strand sampling spot oxygen is mingled with spectrum bar number
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-411 1 3 1 2 1 2 2 12
FP-412 1 3 1 4 0 5 0 14
FP-413 1 3 1 2 1 4 1 13
FP-421 1 2 2 3 0 4 4 16
FP-422 1 0 1 1 1 2 1 7
FP-423 3 3 2 3 1 4 1 17
FP-431 1 2 1 2 0 3 1 10
FP-432 0 0 1 2 1 0 1 5
FP-433 0 0 1 3 4 0 1 9
FP-441 1 2 0 2 1 3 0 9
FP-442 1 2 0 0 1 1 1 6
FP-443 1 2 0 3 0 1 0 7
FP-451 0 2 0 3 0 1 0 6
FP-452 1 3 0 2 1 2 0 9
FP-453 3 4 0 4 1 5 0 17
Table 12 4# strand sampling spot oxygen is mingled with content
Al 2O 3 TiO 2 SiO 2 CaO MgO MnO Cr 2O 3 Total amount adds up to
FP-411 0.0493 0.1479 0.0493 0.0986 0.0493 0.0986 0.0986 0.5917
FP-412 0.0493 0.1479 0.0493 0.1971 0.0000 0.2464 0.0000 0.6900
FP-413 0.0493 0.1479 0.0493 0.0986 0.0493 0.1972 0.0493 0.6410
FP-421 0.0493 0.0987 0.0987 0.1480 0.0000 0.1973 0.1973 0.7893
FP-422 0.0493 0.0000 0.0493 0.0493 0.0493 0.0986 0.0493 0.3452
FP-423 0.1479 0.1479 0.0986 0.1479 0.0493 0.1972 0.0493 0.8383
FP-431 0.0493 0.0986 0.0493 0.0986 0.0000 0.1479 0.0493 0.4931
FP-432 0.0000 0.0000 0.0493 0.0986 0.0493 0.0000 0.0493 0.2465
FP-433 0.0000 0.0000 0.0493 0.1479 0.1972 0.0000 0.0493 0.4438
FP-441 0.0493 0.0986 0.0000 0.0986 0.0493 0.1479 0.0000 0.4436
FP-442 0.0493 0.0986 0.0000 0.0000 0.0493 0.0493 0.0493 0.2959
FP-443 0.0493 0.0986 0.0000 0.1479 0.0000 0.0493 0.0000 0.3450
FP-451 0.0000 0.0986 0.0000 0.1479 0.0000 0.0493 0.0000 0.2957
FP-452 0.0493 0.1479 0.0000 0.0986 0.0493 0.0986 0.0000 0.4438
FP-453 0.1479 0.1971 0.0000 0.1971 0.0493 0.2464 0.0000 0.8379

Claims (2)

1. alloy steel sample impurity compound M xN yThe spectroscopic analysis methods of content quick determination is characterized in that: it is that ratio with M element or N element spectral singularity bar number and total spectrum bar number calculates M element or N element inclusion content;
It comprises the steps:
A, the single spark spectrum data of collection:
Sample is placed on excites on the platform, in inert gas atmosphere, discharge, utilize single spark spectrum analysis system with in certain integral time, the signal strength values of the impulse discharge of a plurality of elements is all noted in real time, utilize corresponding software that spark spectrum is decomposed and come, obtain single spark intensity distribution spectrogram of element;
B, calculating specific strength; Wherein, specific strength is calculated with " M element-intensities/ferro element intensity " or " N element-intensities/ferro element intensity ";
C, set the threshold value of M element, N element respectively, the threshold value formula: Im=Io+K σ, Io are average specific intensity, and K=4, σ are the specific strength standard deviation;
D, calculate inclusion content divided by total spectrum bar number: divided by total spectrum bar number, calculate the M element and be mingled with the compound total content with the spectrum bar number that is higher than M element threshold value with the spectrum bar number that is higher than threshold value; , calculate the N element and be mingled with the compound total content divided by total spectrum bar number with the spectrum bar number that is higher than N element threshold value; Divided by total spectrum bar number, calculate M with the spectrum bar number that is higher than M element threshold value and N element threshold value simultaneously xN yInclusion content.
2. alloy steel sample impurity compound M according to claim 1 xN yThe spectroscopic analysis methods of content quick determination is characterized in that: described M xN yIn the N element be oxygen, nitrogen, sulphur or carbon.
CN2007102013453A 2007-08-13 2007-08-13 Alloy steel sample impurity content quick determination and analysis method Expired - Fee Related CN101105456B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2007102013453A CN101105456B (en) 2007-08-13 2007-08-13 Alloy steel sample impurity content quick determination and analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2007102013453A CN101105456B (en) 2007-08-13 2007-08-13 Alloy steel sample impurity content quick determination and analysis method

Publications (2)

Publication Number Publication Date
CN101105456A CN101105456A (en) 2008-01-16
CN101105456B true CN101105456B (en) 2010-07-21

Family

ID=38999453

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2007102013453A Expired - Fee Related CN101105456B (en) 2007-08-13 2007-08-13 Alloy steel sample impurity content quick determination and analysis method

Country Status (1)

Country Link
CN (1) CN101105456B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102495044A (en) * 2011-12-05 2012-06-13 武汉钢铁(集团)公司 Component summation analysis method of oxygen content in aluminum killed steel
CN103048345B (en) * 2012-12-19 2015-01-21 南京钢铁股份有限公司 Test method for detecting inclusions in steel
CN103335997B (en) * 2013-06-17 2016-01-13 北京首钢股份有限公司 The nitrogen component analytical approach of a kind of stokehold low nitrogen steel sample
CN106537123B (en) * 2014-07-09 2019-06-21 杰富意钢铁株式会社 The manufacturing method of the analysis method of nitrogen in test button, the analytical equipment of nitrogen in test button, the nitrogen concentration adjusting method in molten steel and steel
CN104865308B (en) * 2015-06-05 2017-07-21 武汉钢铁(集团)公司 The method that sour molten Ti content determines full Ti content in sample is controlled by cord steel
CN107179312A (en) * 2017-04-18 2017-09-19 河钢股份有限公司邯郸分公司 The method for determining sour molten Boron contents in steel
CN108254361A (en) * 2017-12-29 2018-07-06 柳州钢铁股份有限公司 The analysis method of phosphorus content in phosphoric pig iron

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1065337A (en) * 1991-03-22 1992-10-14 株式会社岛津制作所 Spectroscopic analysis methods and system
CN1375692A (en) * 2002-04-19 2002-10-23 钢铁研究总院 Metal in-situ statistical-distribution analysis method
CN1525158A (en) * 2003-02-25 2004-09-01 鞍山钢铁集团公司 Spectral analysis method for online detecting the number and content of inclusions in steel
CN1525159A (en) * 2003-02-25 2004-09-01 鞍山钢铁集团公司 Spectral analysis method for online detecting size distribution of inclusions in steel

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1065337A (en) * 1991-03-22 1992-10-14 株式会社岛津制作所 Spectroscopic analysis methods and system
CN1375692A (en) * 2002-04-19 2002-10-23 钢铁研究总院 Metal in-situ statistical-distribution analysis method
CN1525158A (en) * 2003-02-25 2004-09-01 鞍山钢铁集团公司 Spectral analysis method for online detecting the number and content of inclusions in steel
CN1525159A (en) * 2003-02-25 2004-09-01 鞍山钢铁集团公司 Spectral analysis method for online detecting size distribution of inclusions in steel

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
王娟.火花源原子发射 光谱法测定钒钛生铁中的C、Si、P、S、V、Ti.重庆科技学院学报(自然科学版)9 2.2007,9(2),22-25.
王娟.火花源原子发射 光谱法测定钒钛生铁中的C、Si、P、S、V、Ti.重庆科技学院学报(自然科学版)9 2.2007,9(2),22-25. *
王斌,李萍.火花光源发射光谱测定钢中微量铌.光谱实验室21 1.2004,21(1),55-57.
王斌,李萍.火花光源发射光谱测定钢中微量铌.光谱实验室21 1.2004,21(1),55-57. *

Also Published As

Publication number Publication date
CN101105456A (en) 2008-01-16

Similar Documents

Publication Publication Date Title
CN101105456B (en) Alloy steel sample impurity content quick determination and analysis method
CN109596531B (en) Preparation method of ultra-pure ferrite stainless steel spectrum standard sample
CN103196863A (en) Method for determining contents of carbon and sulfur in iron alloy by using infrared absorption method with calibration of different reference materials
CN104697966A (en) Method for quantitatively analyzing chromium and manganese in steel based on least square support vector machine algorithm combined with laser-induced breakdown spectroscopy
CN113009102B (en) Method for determining composition of scrap and processing equipment for detecting composition sample of scrap
CN103575707B (en) Photo-electric direct reading spectrometer is used to measure the method for nickel base superalloy composition of steel
CN113390798A (en) Method for analyzing carbon content in 82B steel sample with diameter of 10-14mm
CN109668871A (en) The direct-reading spectrometer analysis method of trace amount Ti in a kind of steel
CN102607906A (en) Standard sample for spectral analysis of free cutting steel SAE1215
CN103163079B (en) A kind of low-carbon (LC) is containing aluminium silicon steel standard model and preparation method thereof
CN111693513B (en) Online detection method based on laser-induced breakdown spectroscopy
CN106814082B (en) Method for representing cleanliness level of aluminum killed molten steel in real time
CN108037148A (en) The development of x-ray fluorescence spectrometry Copper making clinker multielement standard sample
CN105784746A (en) Method for detecting ferrosilicon element by combing graphite crucible sample melting with X-ray fluorescence
CN102590102A (en) Standard sample for spectroscopic analysis of welding wire steel ER50-6
CN108037112A (en) A kind of method of nickel in Flame Atomic Absorption Spectrometry method measure reduced iron powder
CN114970164A (en) Refined steel classification quantitative method and portable system
JP4537253B2 (en) Determination of nonmetallic inclusion composition by emission spectroscopy
CN100343656C (en) Spectral analysis method for online detecting the number and content of inclusions in steel
CN106568735A (en) High-frequency infrared carbon and sulfur analyzer standard sample selection and working curve production method
CN100343657C (en) Spectral analysis method for online detecting size distribution of inclusions in steel
CN205263081U (en) Metal material analytical equipment for building
CN109668872A (en) A kind of direct-reading spectrometer surveys the analysis method of nitrogen in steel online
Böhlen et al. Optical emission spectrometry for control of cleanness during steelmaking
CN114997540B (en) Prediction method for recovery rate of associated precious metals in ore and application thereof

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20100721

Termination date: 20160813