CN108491679A - A kind of steel Preparation Method and system based on gene pool - Google Patents
A kind of steel Preparation Method and system based on gene pool Download PDFInfo
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- C21C5/00—Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
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Abstract
The invention belongs to metallurgical technology fields, and in particular to a kind of steel Preparation Method and system based on gene pool.Steel Preparation Method based on gene pool, includes the following steps：1) steelmaking feed gene pool is established；Establish product steel gene library；Establish process for making data gene pool；2) correspondence of steelmaking feed gene pool, process for making data gene pool and product steel gene library is established；3) it determines the performance requirement information of steel to be prepared, and is matched to the product steel gene information of steel to be prepared corresponding with the performance requirement information in product steel gene library；4) it is based on correspondence, according to the product steel gene acquisition of information of the steel to be prepared and the matched raw material gene information of steel to be prepared and process for making data gene information；5) the raw material gene information of the steel to be prepared obtained according to step 4) and the process for making data gene information of steel to be prepared prepare target steel product.The present invention can optimize steel preparation method, and Instructing manufacture reduces cost.
Description
Technical field
The invention belongs to metallurgical technology fields, and in particular to a kind of steel Preparation Method and system based on gene pool.
Background technology
More stringent requirements are proposed for type and performance of the manufacturing development to finished steel, this is to traditional converter smelting
The requirement of refining-refining-casting-molding heat treatment process is also higher and higher.The production of the research and development and existing steel grade of usual new steel grade
Optimization process is a very complicated engineering, needs to investigate user demand, primary preparation process is formulated further according to these information,
Subsequently the production process of steel is adjusted further according to the condition of production of the use of user feedback and steel mill.This process is possible to
Need cycle many times, this allows for the exploitation of new steel grade or the Optimizing manufacture of existing steel grade becomes time-consuming and of high cost.Therefore
The exploitation new steel grade of fast, economical or the production process of the existing steel grade of optimization are the critical issues that metallurgical process needs urgently to solve.
Currently, the preparation method of high-quality steel tends to empirical, obtained finished steel is different in practical application performance, because
This, there is an urgent need for a kind of science, quantitative steel Preparation Methods, and the otherness of finished steel performance is solved from source, and pass through tune
Whole material composition, it is maximized cost-effective.
In recent years, " machine learning and big data ", material genome plan proposition so that steel for gene database
Foundation is possibly realized, by finding some patterns to the excavation of existing calculating data and experimental data, based on these patterns into
And the quantitative or qualitative description to rigidity matter is obtained, this is an important method accelerated new steel grade research and development and gone into operation." material
The it is proposed of genetic engineering " make material genome database using informatics and statistical method carry out advanced material explore and
Design aspect has important role, and the quantitative relationship established between ingredient-structure-performance of material is to realize design of material
And production, the key changed from " the cooking method " of Conventional wisdom formula to scientific method." material genome project " is to pass through height
The first-principles calculations of flux, in conjunction with known reliable experimental data, with theoretical modeling go to attempt it is as much as possible true or
Unknown material, establish its chemical constituent, crystal and various physical property database, and using informatics, statistical method, pass through number
The relation schema between material structure and performance is sought according to excavation.Currently, there is a large amount of steel in iron and steel enterprise for data both at home and abroad,
However the management of the more system of these data deficiencies one, and the utilization of data system is also relatively short of, therefore, in order to solve
This problem, a kind of steel preparation method for material based on gene database are particularly important.
Invention content
To solve the deficiencies in the prior art, the present invention provides a kind of steel Preparation Method and system based on gene pool.
Technical solution provided by the present invention is as follows：
A kind of steel Preparation Method based on gene pool, includes the following steps：
1) steelmaking feed gene pool is established, the steelmaking feed gene pool is made of steelmaking feed gene information；
Product steel gene library is established, product steel gene library is made of product steel gene information；
Process for making data gene pool is established, the process for making data gene pool is by process for making data gene information group
At；
2) correspondence of steelmaking feed gene pool, process for making data gene pool and product steel gene library is established；
3) determine steel to be prepared required performance requirement information, such as intensity during one's term of military service, toughness, endurance and
Corrosion resistance etc., and be matched in product steel gene library corresponding to be prepared with the required performance requirement information
The product steel gene information of steel；
4) be based on step 2) described in correspondence, according to the product steel gene acquisition of information of the steel to be prepared with wait making
The standby matched raw material gene information of steel and process for making data gene information；
5) the process for making data gene of the raw material gene information of the steel to be prepared obtained according to step 4) and steel to be prepared
Information prepares target steel product.
Specifically, the steelmaking feed gene information includes the microcosmic gene information of steelmaking feed, steelmaking feed Jie's sight gene
Information and steelmaking feed macroscopic view gene information, wherein：
The microcosmic gene information of steelmaking feed includes：
The composition information of metal charge；
The molecular structure information of the composition information and each ingredient of nonmetallic material slag former；The ingredient of nonmetallic material oxidant is believed
Breath；The molecular structure information of the composition information and each ingredient of nonmetallic material carburant；
The purity information of gas material；
The molecular structure information of the composition information of refractory material and each ingredient；
Steelmaking feed Jie sees gene information and includes：
The object phase composition information of nonmetallic material slag former；The object phase composition information of nonmetallic material oxidant；Nonmetallic material increases
The object phase composition information of carbon agent；
The object phase composition information of refractory material；
The steelmaking feed macroscopic view gene information includes：
The temperature information and dimension information of metal charge；
Granular information, melting information and the slagability information of nonmetallic material slag former；The granularity of nonmetallic material oxidant
Information；The granular information and temperature information of nonmetallic material carburant；
The purity information of gas material；
The refractoriness information of refractory material and resistance to slag information.
Specifically, the steelmaking feed gene data, including metal charge (ingredient of molten iron, temperature, solid metal material
Ingredient, size, temperature, etc.), nonmetallic material (ingredient, granularity, temperature of slag making materials, oxidant, carburant etc. etc.), gas
Expect (ingredient of oxygen, nitrogen, argon gas, carbon dioxide etc., pressure) and refractory material (type, refractoriness, resistance to slag etc.).
Specifically, the metal charge includes molten iron, steel scrap, pig, alloy material etc..
Specifically, the nonmetallic material includes slag material (lime, fluorite, dolomite, synthetic slag etc.), oxidant (oxygen
Change iron sheet etc.), carburant (coke etc.) etc..
Specifically：
It is analyzed using national standard GB/T 20066-2006, obtains the composition information of metal charge；
It is analyzed, is obtained non-using national standard YB/T 5320-2006 metal material quantitative phase analysis X-ray diffraction K value methods
The composition information of metal charge slag former；
It is analyzed, is obtained non-using national standard YB/T 5320-2006 metal material quantitative phase analysis X-ray diffraction K value methods
The composition information of metal charge oxidant；
It is analyzed using national standard YBT 192-2001 steel-smelting carburants, obtains the ingredient letter of nonmetallic material carburant
Breath；
Analyzed using national standard GB/T 3007-2006 refractory material water content test methods, obtain refractory material at
Divide information；
Using Fourier transform infrared spectroscopy, high resolution transmission electron microscope, x-ray photoelectron spectroscopy, Raman light
Spectrum or X-ray diffraction spectrum are measured, and obtain the molecular structure information of each ingredient of nonmetallic material slag former；
Using Fourier transform infrared spectroscopy, high resolution transmission electron microscope, x-ray photoelectron spectroscopy, Raman light
Spectrum or X-ray diffraction spectrum are measured, and obtain the molecular structure information of each ingredient of nonmetallic material carburant；
Using Fourier transform infrared spectroscopy, high resolution transmission electron microscope, x-ray photoelectron spectroscopy, Raman light
Spectrum or X-ray diffraction spectrum are measured, and obtain the molecular structure information of each ingredient of refractory material；
The diffraction maximum position of each object phase of nonmetallic material slag former, diffraction peak intensity are measured using X-ray diffractometer and are spread out
Peak shape is penetrated, then by Raman formula, the slight feed information of each object phase of nonmetallic material slag former is calculated, to obtain non-gold
Belong to the object phase composition information of material slag former；
The diffraction maximum position of each object phase of nonmetallic material oxidant, diffraction peak intensity are measured using X-ray diffractometer and are spread out
Peak shape is penetrated, then by Raman formula, the slight feed information of each object phase of nonmetallic material oxidant is calculated, to obtain non-gold
Belong to the object phase composition information of material oxidant；
The diffraction maximum position of each object phase of nonmetallic material carburant, diffraction peak intensity are measured using X-ray diffractometer and are spread out
Peak shape is penetrated, then by Raman formula, the slight feed information of each object phase of nonmetallic material carburant is calculated, to obtain non-gold
Belong to the object phase composition information of material carburant；
Diffraction maximum position, diffraction peak intensity and the diffraction peak shape of each object phase of refractory material are measured using X-ray diffractometer
Shape, then by Raman formula, the slight feed information of each object phase of refractory material is calculated, to obtain each object phase of refractory material
Composition information；
It is measured using infrared thermometer or thermocouple, obtains the temperature information of metal charge；
It is analyzed using national standard GB/T 1480-2012, obtains the dimension information of metal charge；
It is analyzed using national standard GB/T 1480-2012, obtains the granular information of nonmetallic material slag former；
It is analyzed using slag molten temp measurement, obtains the melting information of nonmetallic material slag former；
Using the formation experimental analysis of slag, the slagability information of nonmetallic material slag former is obtained；
It is analyzed using national standard GB/T 1480-2012, obtains the granular information of nonmetallic material oxidant；
It is analyzed using national standard GB/T 1480-2012, obtains the granular information of nonmetallic material carburant；
It is measured using infrared thermometer or thermocouple, obtains the temperature information of nonmetallic material carburant；
The analysis that oxygen purity is carried out using national standard GB/T 14599-1993 is carried out using national standard GB/T 16945-1997
The analysis of argon content carries out the analysis of nitrogen content using GB/T 8980-1996, is carried out using GB/T 8984.1-1997
The analysis of the content of carbon monoxide, carbon dioxide and hydrocarbon obtains the purity information of gas material；
It is analyzed using national standard GB/T 7322-2007, obtains the refractoriness information of refractory material；
It is analyzed using national standard GB/T 8931-2007, obtains the resistance to slag information of refractory material.
Specifically, the process for making data gene information includes hot metal pretreatment technology parameter information, converter process ginseng
Number information, refinery practice parameter information, casting process parameter information and molding heat treatment process parameter information.
Specifically：
The hot metal pretreatment technology parameter information includes the information for being blown agent, the composition information for being blown agent, carrier gas
Information, carrier gas flux information, agitating mode information, stirring intensity information, molten iron temperature information and hot metal composition information；
The converter process parameter information includes that raw material is packed into institutional information, oxygen supply system information, slagging regime information, end
Point control system information, temperature control system information, tapping institutional information and deoxidation alloying institutional information；
The refinery practice parameter information includes pulse system information, the addition institutional information of refinery, temperature control system
Spend information and vacuum institutional information；
The casting process parameter information, which includes atmosphere protection institutional information, changes Bao Lian pours institutional information, flow field control system
Spend selection and the addition institutional information of information, Temperature Field Control institutional information and top slag or covering slag；
The molding heat treatment process parameter information includes heating cycle information, cooling system information and rolling pattern letter
Breath.
The specific product steel gene information includes the microcosmic gene information of product steel, product steel Jie sight gene information and production
Product steel macroscopic view gene information, wherein：
The microcosmic gene information of product steel includes the content information of product nonmetallic inclusionsin steel；
Product steel Jie sees the metal microstructure information that gene information includes product steel；
The product steel macroscopic view gene information includes：The bending property information of product steel；The tensile property information of product steel；
The elasticity modulus information and Poisson's ratio information of product steel；The Charpy impact fracture of product steel measures information.
Specifically：
It is analyzed using national standard GB/T 10561-2005, obtains the content information of nonmetallic inclusionsin steel；
It is analyzed using national standard GB/T 13298-1991, obtains the metal microstructure information of product steel；
It is analyzed using national standard GB/T 232-2010, the bending property information of product steel；
It is analyzed using national standard GB 6397-86, obtains the tensile property information of product steel；
It is analyzed using national standard GB/T 22315-2008, obtains the elasticity modulus information and Poisson's ratio information of product steel；
It is analyzed using national standard GB/T 12778-1991, the Charpy impact fracture for obtaining product steel measures information；
It is analyzed using national standard GB/T 223.1-1981, obtains carbon content information in product steel；
It is analyzed using national standard GB/T 13305-2008, obtains α-phase area content information in product steel；
It is analyzed using national standard GB/T 17897-2016, obtains the corrosion information of product steel.
Further, the steel Preparation Method based on gene pool includes the following steps：
1) steelmaking feed gene pool is established, the steelmaking feed gene pool is made of steelmaking feed gene information；
Product steel gene library is established, product steel gene library is made of product steel gene information；
Process for making data gene pool is established, the process for making data gene pool is by process for making data gene information group
At；
2) use machine learning method and data digging method to the steelmaking feed gene pool, the process for making data
Gene information in gene pool and product steel gene library is analyzed, and steelmaking feed gene pool information, process for making are established
Correlation model between data gene pool information and product steel gene library information；
3) it determines steel to be prepared required performance requirement information during one's term of military service, and is matched in product steel gene library
To the product steel gene information of steel to be prepared corresponding with the required performance requirement information；
4) it is based on the correlation model, is matched with steel to be prepared according to the product steel gene acquisition of information of the steel to be prepared
Raw material gene information and process for making data gene information；
5) the process for making data gene of the raw material gene information of the steel to be prepared obtained according to step 4) and steel to be prepared
Information prepares target steel product.
Further, the steel Preparation Method based on gene pool includes the following steps：
1) steelmaking feed gene pool is established, the steelmaking feed gene pool is made of steelmaking feed gene information；
Product steel gene library is established, product steel gene library is made of product steel gene information；
Process for making data gene pool is established, the process for making data gene pool is by process for making data gene information group
At；
2) use machine learning method and data digging method to the steelmaking feed gene pool, the process for making data
Gene information in gene pool and product steel gene library is analyzed, and steelmaking feed gene pool information, process for making are established
Correlation model between data gene pool information and product steel gene library information；
3) it determines steel to be prepared required performance requirement information during one's term of military service, and is matched in product steel gene library
To the product steel gene information of steel to be prepared corresponding with the required performance requirement information；
4) it is based on the correlation model, is matched with steel to be prepared according to the product steel gene acquisition of information of the steel to be prepared
Raw material gene information and process for making data gene information；
5) the process for making data gene of the raw material gene information of the steel to be prepared obtained according to step 4) and steel to be prepared
Information prepares target steel product；
6) performance detection is carried out to the target steel product that step 5) obtains and obtains performance detection information, and the performance is examined
Required performance requirement information is compared measurement information during one's term of military service with the steel to be prepared, if comparing result is inconsistent, is adjusted
The raw material gene information of whole steel to be prepared and the process for making data gene information of steel to be prepared prepare target steel product.
The present invention also provides a kind of steel preparation system based on gene pool, including：
Memory module, for storing steelmaking feed gene pool information, process for making data gene pool information and product base steel
Because of the correspondence between the information of library, i.e. correlation model；
Computing module is used for the product steel gene information according to steel to be prepared and the correspondence, obtains steel to be prepared
Raw material gene information and steel to be prepared process for making data gene information；
And Web modules, the product steel gene information for obtaining steel to be prepared, and feed back what the computing module obtained
The raw material gene information of steel to be prepared and the process for making data gene information of steel to be prepared.
Further, the product steel gene information transmission for the steel to be prepared that Web modules are provided user by network is supreme
Flux computing module.
Specific steelmaking feed gene pool-process for making gene pool-product steel is microcosmic, be situated between sight, macro property gene number
Refer to the finished steel established by machine learning and data digging method and steelmaking feed and refining according to the correlation model between library
The specific relationship established between steel technique can be determined by the relational expression and be obtained in certain steelmaking feed
The performance of the finished steel arrived.
Bright the provided steel Preparation Method based on gene database of this law can be obtained by a series of experimental method
The gene data of steelmaking feed is taken, while can be by the performance and structured data of the gene data of steelmaking feed and finished steel
It is stored and is managed by database, steelmaking feed gene data-process for making is established by machine learning and big data
The correlation model that database-product steel is microcosmic, is situated between sight, macro property database, to optimize steel preparation method, guidance
Production, reduces cost.
Description of the drawings
Fig. 1 is the flow chart of the steel Preparation Method provided by the present invention based on gene pool.
Fig. 2 is the process flow chart of the embodiment of the steel Preparation Method provided by the present invention based on gene pool.
Fig. 3 is the structure chart of the steel preparation system provided by the present invention based on gene pool.
Specific implementation mode
The principles and features of the present invention are described below, and illustrated embodiment is served only for explaining the present invention, is not intended to
Limit the scope of the present invention.
In a particular embodiment, as shown in Figure 1, the steel Preparation Method based on gene pool includes the following steps：
1) steelmaking feed gene pool is established, the steelmaking feed gene pool is made of steelmaking feed gene information；
Product steel gene library is established, product steel gene library is made of product steel gene information；
Process for making data gene pool is established, the process for making data gene pool is by process for making data gene information group
At；
2) correspondence of steelmaking feed gene pool, process for making data gene pool and product steel gene library is established；
3) it determines steel to be prepared required performance requirement information during one's term of military service, and is matched in product steel gene library
To the product steel gene information of steel to be prepared corresponding with the required performance requirement information；
4) be based on step 2) described in correspondence, according to the product steel gene acquisition of information of the steel to be prepared with wait making
The standby matched raw material gene information of steel and process for making data gene information；
5) the process for making data gene of the raw material gene information of the steel to be prepared obtained according to step 4) and steel to be prepared
Information prepares target steel product.
As shown in Fig. 2, in a specific embodiment, the steel Preparation Method based on gene pool includes the following steps：
1) steelmaking feed gene pool is established, the steelmaking feed gene pool is made of steelmaking feed gene information；
Product steel gene library is established, product steel gene library is made of product steel gene information；
Process for making data gene pool is established, the process for making data gene pool is by process for making data gene information group
At；
2) use machine learning method and data digging method to the steelmaking feed gene pool, the process for making data
Gene information in gene pool and product steel gene library is analyzed, and steelmaking feed gene pool information, process for making are established
Correlation model between data gene pool information and product steel gene library information；
3) it determines steel to be prepared required performance requirement information during one's term of military service, and is matched in product steel gene library
To the product steel gene information of steel to be prepared corresponding with the required performance requirement information；
4) it is based on the correlation model, is matched with steel to be prepared according to the product steel gene acquisition of information of the steel to be prepared
Raw material gene information and process for making data gene information；
5) the process for making data gene of the raw material gene information of the steel to be prepared obtained according to step 4) and steel to be prepared
Information prepares target steel product；
6) performance detection is carried out to the target steel product that step 5) obtains and obtains performance detection information, and the performance is examined
Required performance requirement information is compared measurement information during one's term of military service with the steel to be prepared, if comparing result is inconsistent, is adjusted
The raw material gene information of whole steel to be prepared and the process for making data gene information of steel to be prepared prepare target steel product.
Microcosmic steelmaking feed gene data includes above the ingredient for measuring metal charge molten iron, steel scrap, pig；Nonmetallic material is made
Ingredient, the molecular structure of slag lime, fluorite, dolomite, synthetic slag etc., the ingredient of oxidizing iron sheet etc., carburant are burnt
Ingredient, the molecular structure of charcoal etc.；The purity of gas material oxygen, nitrogen, argon gas, carbon dioxide etc.；The molecular structure of refractory material,
Ingredient.Be situated between on seeing includes the object phase for measuring nonmetallic material slag making lime, fluorite, dolomite, synthetic slag etc., oxidizing iron
The object phase composition of skin, carburant coke, refractory material etc..The macroscopically temperature of molten iron, alloy, steel scrap, the temperature of pig, ruler
It is very little；The granularity of nonmetallic material slag making lime, fluorite, dolomite, synthetic slag etc., melting, slagability, oxidizing iron sheet
Deng granularity, the granularity, temperature of carburant coke etc..The pressure of gas material oxygen, nitrogen, argon gas, carbon dioxide etc.；Fire proofed wood
Expect refractoriness, resistance to slag etc..
The composition test of the ingredient of metal charge and nonmetallic material, refractory material：According to national standard GB/T 20066-2006, GB/
T 3007-2006, GB/T 2999-2002 (2004), GB/T 2998-2001 (2004) etc. are sampled analysis metal charge, non-
The ingredient of metal charge, refractory material, fire resisting material particle bulk density etc..
Slag molten temp determination experiment：The column that slag specimen is made to diameter 5mm × 5mm in particular manufacturing craft, is put in platinum
It is heated in silk stove.With the raising of fire box temperature, slag specimen melted by heat, slag specimen height reduces.Slag specimen height starts to reduce (general
Be defined as reduction by 1/9) when temperature be known as " starting to melt " temperature；When the height of slag specimen drops to the half of former height, cry
" hemispherical fusion temperature " is done, the shape of sample is hemispherical at this time, this experiment is using temperature at this time as fusion temperature；When the height of slag specimen
Become " flowing temperature " when dropping to the 1/5 of former height or makees " being completely melt temperature ".
The formation of slag：With analytically pure preparation of reagents slag agent, it is packed into molybdenum crucible after carefully stirring, is sent to 1600 DEG C of tower
In graceful stove.Crucible equipped with reagent is stirred with molybdenum bar, and after keeping the temperature 2,5 and 15min at a temperature of 1600 DEG C, chemistry point is made in sampling
Analysis.
Nonmetallic material molecular structure and object phase composition are using Fourier transform infrared spectroscopy (FTIR), high-resolution transmission electricity
The methods of sub- microscope (HRTEM), x-ray photoelectron spectroscopy (XPS), Raman spectrum (Raman), X-ray diffraction spectrum (XRD) into
Row measures.Slight feed measures coal dust diffraction maximum position (2 θ), diffraction peak intensity (I) and diffraction peak shape by X-ray diffractometer
Shape (f (x)), and these three amounts are crossed together to calculate the slight feed of nonmetallic material.
The temperature detection of metal charge is measured using infrared thermometer or according to different condition using different thermocouples.
The testing graininess of metal charge and nonmetallic material：According to GB/T 1480-2012.The test battery chosen is sieved, by hole
Screen frame is nested together by the size order of diameter size, and base plate cover is in lowest level.Sample is placed in the sieve of top maximum diameter of hole simultaneously
It is covered tightly with lid.
Note：Sieve is identical, powder under the same conditions, with different types of sifted timesharing, can obtain different
As a result.Therefore, for a certain particular powder, it usually can determine that this correspondence between different screening machines.3, it sieves
Process can continue to the terminal of screening, may also proceed to the time that both sides of supply and demand agree on.When screening proceeds to per minute lead to
When the quantity crossed on the compass screen surface of maximum component is less than the 0.1% of sample amount, as reach screening terminal (being provided see 1S02591).
4, after having sieved, each compass screen surface and the powder on chassis are weighed.In the case of 100g samples, weighing is accurate to 0.1g；With 50g samples
In the case of, weighing is accurate to 0.05g.
By the sequence of component on most thick component to chassis, collect by the following method the powder component on each compass screen surface for
Weighing is used；A sieve is taken out from screen jacket, the powder of the inside is poured onto on bright and clean paper.It will be attached to sieve and sieve again
The powder of frame bottom is swept to banister brush in next thinner sieve.Then by sieve left-hand thread on bright and clean paper, lightly
Screen frame is beaten, powder all in sieve is cleared out.Powder component on chassis is also collected as stated above.5, collected whole
The summation of component amount should be not less than the 98% of sample amount.
The purity test of gas raw material：Oxygen purity is according to national standard GB/T 14599-1993.1, high pure oxygen is by factory
Quality inspection department examines, and factory should ensure that the high pure oxygen of all manufactures meets this standard requirement.2, the high pure oxygen of bottled gaseous state
It tests by bottle.3, the high pure oxygen of liquid samples inspection from each storage.4, high pure oxygen in pipeline is examined, in setting
Mouth sampling is analyzed, at least sample examination quotient is secondary in 8h.5, it when inspection result indices are met the requirements of the standard, checks and accepts by the gross
It is qualified.6, when examined high pure oxygen has any one index not meet this standard requirement pair, then this batch of product is considered as unqualified
Product.7, user also provides to check and accept according to this standard.User is put in storage in three days in high pure oxygen and is measured to the steel pressure in the bottle.8、
When user and factory have different views to product quality, joint inspection or submission to arbitration by both party.Remaining gas is pressed respectively
GB/T 16945-1997 argon gas；GB/T 8980-1996 nitrogen；Carbon monoxide, titanium dioxide in GB/T 8984.1-1997 gases
The measurement part 1 of carbon and hydrocarbon:The measurement of carbon monoxide, carbon dioxide and methane in gas.
The refractoriness of refractory material is tested：According to national standard GB/T 7322-2007.1, equipped with test cone and standard thermometric
The frustum of cone sets the equal temperate zone of people's stove.2, in 1.5h~2h, furnace temperature is risen to low 200 DEG C of the temperature of refractoriness of compared estimate sample
Degree 3, at the uniform velocity heat up by average 2.5 DEG C/min (it is successively curved about in 8min to be equivalent to 2 adjacent CN standard pyrometric cones again
), at any time and the deviation of defined heating curve should be less than 10 DEG C, until off-test.4, when any test cone is curved
When down to its nib contacts frustum, should immediately observation caliber thermoscope it is curved fall degree, until the last standard pyrometric cone or
Test cone it is curved down to its nib contacts frustum when, that is, stop experiment.If not observing test cone pre- during the test
In the standard cone temperature range of meter it is curved fall, can test cone it is fast it is curved fall when, measured with leucoscope or thermocouple pyrometer
The curved temperature of test cone to determine that this test cone experiment next time standard pyrometric cone used takes out frustum from stove, and records every
The curved situation of a test cone and standard pyrometric cone, the tip to observe test cone and standard pyrometric cone contacts the mark of frustum simultaneously
The cone number of quasi- thermoscope indicates the refractoriness of test cone；When test cone it is curved fall between two adjacent modular thermoscopes, then
Indicate the refractoriness of test cone with the two standard pyrometric cones number, i.e., sequentially record adjacent two cones number, as CN 168~
170.It is all have any test cone or standard pyrometric cone is curved abnormal or 2 test cones it is curved fall deviation be more than half of standard and survey
When warm cone, experiment should reform.Note：It is curved it is abnormal refer in temperature-rise period, standard pyrometric cone or experiment cone head part or root
Portion first melts, cone torsional deformation or cone it is amesiality it is curved fall etc..
The resistance to slag of refractory material is tested：According to national standard GB/T 8931-2007.1, crucible sample and clinker should test
It is preceding in 110 DEG C ± 5 DEG C dry 2h.2, with vernier caliper measurement crucible bore dia and depth, it is accurate to 0.5mm.3,2 parts etc. are weighed
The clinker (about 70g) of amount fills up crucible sample (if necessary can consolidate clinker).4, the crucible sample of slag will be installed one by one
It is put into the uniform temperature zone of burner hearth, every crucible sample bottom is lined with the backing plate of the about 30mm thickness of same material, high temperature pad is covered on backing plate
Sand；Also crucible sample can be placed in larger crucible, stove is damaged to prevent the clinker of melting from penetrating crucible bottom.Each
The distance between crucible sample is about 20mm.5, Selection experiment temperature are spaced by 50 DEG C or carry out Selection experiment temperature as needed.
When rising to 50 DEG C~100 DEG C lower than clinker melting temperature by (5~10) DEG C/min rates, then connect (1~2) DEG C/min rate liters
Temperature, until test temperature.6, soaking time (be usually 3h) is determined according to the property of clinker or as needed.7, heat preservation terminates
Afterwards, crucible sample is with stove cooled to room temperature.8, it is symmetrically cut along the axis direction of crucible.
Process for making database by the principle of big data compile include molten iron pretreatment, converter process, refining
Parameter in technique, casting process, molding heat treatment process.
Parameter in hot metal pretreatment technology includes being blown type and ingredient, type carrier gases and flow, the agitating mode of agent
(mechanical agitation, Gas Stirring) and intensity, molten iron temperature, hot metal composition (S, Si, P, V, Cr etc.).
Parameter during converter process includes that raw material is packed into system, oxygen supply system, slagging regime, terminal point control, temperature
System, tapping system, deoxidation alloying system.
Parameter in refinery processes includes pulse system, the addition system of refinery, temperature control system, vacuum system
Degree.
Parameter during casting process includes atmosphere protection system, changes Bao Lian and pours system, flow field control system, temperature field
Control system pushes up selection and the addition system of slag or covering slag.
The parameter being molded in heat treatment process includes heating cycle, cooling system, rolling pattern.
Product steel is microcosmic, be situated between see, macro property gene database can be according to nonmetal inclusion in GB/T 10561-2005 steel
The bioassay standard judge picture microexamination method of object content, the GB/T 13298-1991 metal microstructure methods of inspection, GB/T
232-2010 bend test of metal materials methods, GB 6397-86 metal tensile test samples, GB/T 22315-2008 metal materials
Material elasticity modulus and Poisson's ratio test method, GB/T 12778-1991 metal Charpy impact fracture assay methods etc. measure.
Such as the micro- grain size of product steel is according to national standard GB/T 6394-2002.1, it grades using with respective standard series
Scheme identical amplification factor, is directly compared.By the grain structure image or microphoto of representative visual field with it is corresponding
Watch series judge picture replicates transparency and compares, and chooses and the immediate standard judge picture number of levels of detection image, record evaluation
As a result.2, when grain size to be measured be above standard series grading picture included by range or benchmark amplification factor (75,100 times) no
When energy satisfaction needs, other amplification factors M can be used and be compared evaluation, by the crystal grain image and benchmark to be measured of amplification factor M
The series grading picture of amplification factor Mb compares, and the grain size number G ', micro- grain size number number G chosen is：G=G '+Q
In formula：
The evaluation of macrograin degree：For the measurement that especially coarse crystal grain is carried out using macrograin degree, amplification factor
It is 1 times, ready representational crystal grain image is directly compared grading with serial judge picture.When crystal grain is smaller,
Slightly higher amplification factor M is preferably selected to carry out the evaluation of macrograin degree.If the grain size number number chosen is Gm, macroscopic view crystalline substance
Granularity level number is GmFor：Gm=Gm’+Q
In formula：Q=6.6439lgM
As shown in figure 3, the steel preparation system based on gene pool, including：Memory module, for storing steelmaking feed gene pool
Correlation model between information, process for making data gene pool information and product steel gene library information；Computing module is used for basis
The product steel gene information of steel to be prepared and the correlation model obtain the raw material gene information of steel to be prepared and steel to be prepared
Process for making data gene information；And Web modules, the product steel gene information for obtaining steel to be prepared, and described in feedback
The process for making data gene information of the raw material gene information and steel to be prepared of the steel to be prepared that computing module obtains.User can be with
Pass through the storage and acquisition of progress data between latticed form and database according to their needs.Also, user can pass through net
Network form calculates itself calculative data transmission to unified high-throughput computing platform, and all calculating is first
Beginning data and result of calculation can be stored in the platform, for user's subsequent calls.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of steel Preparation Method based on gene pool, which is characterized in that include the following steps：
1) steelmaking feed gene pool is established, the steelmaking feed gene pool is made of steelmaking feed gene information；
Product steel gene library is established, product steel gene library is made of product steel gene information；
Process for making data gene pool is established, the process for making data gene pool is made of process for making data gene information；
2) correspondence of steelmaking feed gene pool, process for making data gene pool and product steel gene library is established；
3) it determines steel to be prepared required performance requirement information during service, and is matched in product steel gene library
The product steel gene information of steel to be prepared corresponding with required performance requirement information；
4) it is based on the correspondence described in step 2), according to the product steel gene acquisition of information of the steel to be prepared and steel to be prepared
Matched raw material gene information and process for making data gene information；
5) the process for making data gene information of the raw material gene information of the steel to be prepared obtained according to step 4) and steel to be prepared
Prepare target steel product.
2. the steel Preparation Method according to claim 1 based on gene pool, which is characterized in that the steelmaking feed gene letter
Breath includes that the microcosmic gene information of steelmaking feed, steelmaking feed are situated between sight gene information and steelmaking feed macroscopic view gene information, wherein：
The microcosmic gene information of steelmaking feed includes：
The composition information of metal charge；
The molecular structure information of the composition information and each ingredient of nonmetallic material slag former；The composition information of nonmetallic material oxidant；
The molecular structure information of the composition information and each ingredient of nonmetallic material carburant；
The purity information of gas material；
The molecular structure information of the composition information of refractory material and each ingredient；
Steelmaking feed Jie sees gene information and includes：
The object phase composition information of nonmetallic material slag former；The object phase composition information of nonmetallic material oxidant；Nonmetallic material carburant
Object phase composition information；
The object phase composition information of refractory material；
The steelmaking feed macroscopic view gene information includes：
The temperature information and dimension information of metal charge；
Granular information, melting information and the slagability information of nonmetallic material slag former；The granular information of nonmetallic material oxidant；
The granular information and temperature information of nonmetallic material carburant；
The purity information of gas material；
The refractoriness information of refractory material and resistance to slag information.
3. the steel Preparation Method according to claim 2 based on gene pool, it is characterised in that：
It is analyzed using national standard GB/T 20066-2006, obtains the composition information of metal charge；
It is analyzed using national standard YB/T 5320-2006, obtains the composition information of nonmetallic material slag former；
It is analyzed using national standard YB/T 5320-2006, obtains the composition information of nonmetallic material oxidant；
It is analyzed using national standard YBT192-2001, obtains the composition information of nonmetallic material carburant；
It is analyzed using national standard GB/T 3007-2006, obtains the water content composition information of refractory material；
Using Fourier transform infrared spectroscopy, high resolution transmission electron microscope, x-ray photoelectron spectroscopy, Raman spectrum or X
Ray diffraction spectra is measured, and obtains the molecular structure information of each ingredient of nonmetallic material slag former；
Using Fourier transform infrared spectroscopy, high resolution transmission electron microscope, x-ray photoelectron spectroscopy, Raman spectrum or X
Ray diffraction spectra is measured, and obtains the molecular structure information of each ingredient of nonmetallic material carburant；
Using Fourier transform infrared spectroscopy, high resolution transmission electron microscope, x-ray photoelectron spectroscopy, Raman spectrum or X
Ray diffraction spectra is measured, and obtains the molecular structure information of each ingredient of refractory material；
Diffraction maximum position, diffraction peak intensity and the diffraction maximum of each object phase of nonmetallic material slag former are measured using X-ray diffractometer
Shape, then by Raman formula, the slight feed information of each object phase of nonmetallic material slag former is calculated, to obtain nonmetallic material
The object phase composition information of slag former；
Diffraction maximum position, diffraction peak intensity and the diffraction maximum of each object phase of nonmetallic material oxidant are measured using X-ray diffractometer
Shape, then by Raman formula, the slight feed information of each object phase of nonmetallic material oxidant is calculated, to obtain nonmetallic material
The object phase composition information of oxidant；
Diffraction maximum position, diffraction peak intensity and the diffraction maximum of each object phase of nonmetallic material carburant are measured using X-ray diffractometer
Shape, then by Raman formula, the slight feed information of each object phase of nonmetallic material carburant is calculated, to obtain nonmetallic material
The object phase composition information of carburant；
Diffraction maximum position, diffraction peak intensity and the diffraction maximum shape of each object phase of refractory material are measured using X-ray diffractometer, then
By Raman formula, calculate the slight feed information of each object phase of refractory material, to obtain refractory material each object phase group
At information；
It is measured using infrared thermometer or thermocouple, obtains the temperature information of metal charge；
It is analyzed using national standard GB/T 1480-2012, obtains the dimension information of metal charge；
It is analyzed using national standard GB/T 1480-2012, obtains the granular information of nonmetallic material slag former；
It is analyzed using slag molten temp determination experiment, obtains the melting information of nonmetallic material slag former；
It is analyzed using the formation experiment of slag, obtains the slagability information of nonmetallic material slag former；
It is analyzed using national standard GB/T 1480-2012, obtains the granular information of nonmetallic material oxidant；
It is analyzed using national standard GB/T 1480-2012, obtains the granular information of nonmetallic material carburant；
It is analyzed using infrared thermometer or thermocouple, obtains the temperature information of nonmetallic material carburant；
The analysis that oxygen purity is carried out using national standard GB/T 14599-1993 carries out argon gas using national standard GB/T 16945-1997
The analysis of content carries out the analysis of nitrogen content using GB/T 8980-1996, and an oxygen is carried out using GB/T 8984.1-1997
Change the analysis of the content of carbon, carbon dioxide and hydrocarbon, obtains the purity information of gas material；
It is analyzed using national standard GB/T 7322-2007, obtains the refractoriness information of refractory material；
It is analyzed using national standard GB/T 8931-2007, obtains the resistance to slag information of refractory material.
4. the steel Preparation Method according to claim 1 based on gene pool, which is characterized in that the process for making data base
Because information includes hot metal pretreatment technology parameter information, converter process parameter information, refinery practice parameter information, casting process ginseng
Number information and molding heat treatment process parameter information.
5. the steel Preparation Method according to claim 4 based on gene pool, it is characterised in that：
The hot metal pretreatment technology parameter information includes the information for being blown agent, composition information, the type carrier gases for being blown agent
Information, carrier gas flux information, agitating mode information, stirring intensity information, molten iron temperature information and hot metal composition information；
The converter process parameter information includes that raw material is packed into institutional information, oxygen supply system information, slagging regime information, terminal control
Institutional information, temperature control system information, tapping institutional information and deoxidation alloying institutional information processed；
The refinery practice parameter information includes pulse system information, the addition institutional information of refinery, temperature control system letter
Breath and vacuum institutional information；
The casting process parameter information, which includes atmosphere protection institutional information, changes Bao Lian pours institutional information, flow field control system letter
The selection of breath, Temperature Field Control institutional information and top slag or covering slag and addition institutional information；
The molding heat treatment process parameter information includes heating cycle information, cooling system information and rolling pattern information.
6. the steel Preparation Method according to claim 1 based on gene pool, which is characterized in that the product steel gene information
It is situated between including the microcosmic gene information of product steel, product steel and sees gene information and product steel macroscopic view gene information, wherein：
The microcosmic gene information of product steel include product nonmetallic inclusionsin steel content information and product steel in carbon content
Information；
The product steel, which is situated between, sees α-phase area content in the metal microstructure information and product steel that gene information includes product steel
Information；
The product steel macroscopic view gene information includes：The bending property information of product steel；The tensile property information of product steel；Product
The elasticity modulus information and Poisson's ratio information of steel；The Charpy impact fracture of product steel measures information；The corrosion information of product steel.
7. the steel Preparation Method according to claim 6 based on gene pool, it is characterised in that：
It is analyzed using national standard GB/T 10561-2005, obtains the content information of nonmetallic inclusionsin steel；
It is analyzed using national standard GB/T 13298-1991, obtains the metal microstructure information of product steel；
It is analyzed using national standard GB/T 232-2010, the bending property information of product steel；
It is analyzed using national standard GB 6397-86, obtains the tensile property information of product steel；
It is analyzed using national standard GB/T 22315-2008, obtains the elasticity modulus information and Poisson's ratio information of product steel；
It is analyzed using national standard GB/T 12778-1991, the Charpy impact fracture for obtaining product steel measures information；
It is analyzed using national standard GB/T 223.1-1981, obtains carbon content information in product steel；
It is analyzed using national standard GB/T 13305-2008, obtains α-phase area content information in product steel；
It is analyzed using national standard GB/T 17897-2016, obtains the corrosion information of product steel.
8. the steel Preparation Method according to any one of claims 1 to 7 based on gene pool, which is characterized in that in step 2), refining
The correspondence of steel raw material gene pool, process for making data gene pool and product steel gene library is established by following steps：Using
Machine learning method and data digging method are to the steelmaking feed gene pool, the process for making data gene pool and the production
Gene information in product steel gene library is analyzed, and steelmaking feed gene pool information, process for making data gene pool information are established
Correlation model between the information of product steel gene library.
9. the steel Preparation Method according to claim 8 based on gene pool, which is characterized in that further include step 6)：To step
The rapid target steel product 5) obtained carries out performance detection and obtains performance detection information, and the performance detection information is waited for described
Preparing steel, required performance requirement information is compared during one's term of military service, if comparing result is inconsistent, adjusts the original of steel to be prepared
Expect that the process for making data gene information of gene information and steel to be prepared prepares target steel product.
10. a kind of steel preparation system based on gene pool, which is characterized in that including：
Memory module, for storing steelmaking feed gene pool information, process for making data gene pool information and product steel gene library
Correspondence between information；
Computing module is used for the product steel gene information according to steel to be prepared and the correspondence, obtains the original of steel to be prepared
Expect the process for making data gene information of gene information and steel to be prepared；
And Web modules, the product steel gene information for obtaining steel to be prepared, and that feeds back that the computing module obtains waits making
Standby the raw material gene information of steel and the process for making data gene information of steel to be prepared.
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