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JPH0257666B2 - - Google Patents
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JPH0257666B2 - - Google Patents

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Publication number
JPH0257666B2
JPH0257666B2 JP58010686A JP1068683A JPH0257666B2 JP H0257666 B2 JPH0257666 B2 JP H0257666B2 JP 58010686 A JP58010686 A JP 58010686A JP 1068683 A JP1068683 A JP 1068683A JP H0257666 B2 JPH0257666 B2 JP H0257666B2
Authority
JP
Japan
Prior art keywords
molten steel
blowing
slag
concentration
distribution ratio
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 - Lifetime
Application number
JP58010686A
Other languages
Japanese (ja)
Other versions
JPS59136652A (en
Inventor
Haruyuki Okuda
Kazuyoshi Nakai
Hideo Take
Takemi Yamamoto
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.)
JFE Steel Corp
Original Assignee
Kawasaki Steel Corp
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 Kawasaki Steel Corp filed Critical Kawasaki Steel Corp
Priority to JP58010686A priority Critical patent/JPS59136652A/en
Publication of JPS59136652A publication Critical patent/JPS59136652A/en
Publication of JPH0257666B2 publication Critical patent/JPH0257666B2/ja
Granted legal-status Critical Current

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Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/20Metals
    • G01N33/205Metals in liquid state, e.g. molten metals

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Measuring Oxygen Concentration In Cells (AREA)
  • Investigating And Analyzing Materials By Characteristic Methods (AREA)

Description

【発明の詳細な説明】 この発明は転炉製鋼における吹錬終点時の溶鋼
成分を推定する方法に関するものである。 周知のように製鋼工程においては出鋼成分、特
に出鋼される鋼中のC、Mn、P等の含有量を目
標とする成分値に一致させることが極めて重要で
あり、そのため従来一般の転炉製鋼においては、
吹錬終点時に炉体を傾倒させて溶鋼をサンプリン
グし、化学分析を行つてその分析結果の成分値が
目標値にほぼ適合していればそのまま出鋼し、目
標値から外れていれば再吹錬等を行つた後に出鋼
する作業が行なわれている。しかしながら従来の
このような方法ではサンプリングおよび分析に要
する時間が長く、吹錬終点からサンプリングおよ
び分析を経て出鋼するまでに平均3分程度を要し
ており、そのためこの期間中に転炉内に滞留して
いる溶鋼による転炉耐火物の溶損が大きい問題が
あつた。 この発明は以上の事情に鑑みてなされたもの
で、吹錬終了時においてサンプリングおよび分析
を行うことなく、吹錬終了時の溶鋼成分特にC、
Mn、P量を短時間で正確に推定し、これによつ
て吹錬終了時から出鋼時までに要する時間を短縮
して、その間における転炉内耐火物の溶損量を少
なくし、併せて従来サンプリングに要していた人
手を省くことを目的とするものである。 本発明者等は上述の目的を達成するべく種々実
験・検討を行つた結果、吹錬終了時の溶鋼中の酸
素ポテンシヤルと、溶鋼中炭素濃度、スラグ中の
鉄量、スラグと溶鋼とのP分配比LP、Mn分配比
LMoとの間に相関関係があることから、酸素ポテ
ンシヤルを測定するだけで溶鋼中C、Mn、P量
を推定し得ることを見出し、この発明をなすに至
つたのである。 したがつてこの発明は、転炉を用いた酸素吹錬
による溶鋼の精練にあたつて吹錬終了後の溶鋼成
分を推定する方法において、固体電解質を利用し
た酸素濃淡電池を用いて溶鋼中の酸素ポテンシヤ
ルを測定し、溶鋼中のC濃度に関しては、予め求
めておいた酸素ポテンシヤルと溶鋼中C濃度との
相関関係に基いて推定し、溶鋼中のMn、P濃度
に関しては、予め求めておいた酸素ポテンシヤル
とスラグ−溶鋼間のMn分配比もしくはP分配比
との相関関係に基いてMn分配比もしくはP分配
比を推定し、さらにその推定したMn分配比もし
くはP分配比と、装入原料中に含まれるMnもし
くはPの量と、装入原料から推定した溶鋼重量お
よびスラグ重量とから演算してMn、P濃度を求
めることを特徴とするものである。 以下この発明の方法をより詳細に説明する。 先ず吹錬終点時(吹止時)における溶鋼中炭素
濃度Cfと同じく吹止時の溶鋼中酸素ポテンシヤル
Oとの関係について説明すると、両者間には例え
ば第1図に示すような直接的な相関関係が存在す
る。したがつてこの相関関係を利用して溶鋼中酸
素ポテンシヤルから直接的に溶鋼中炭素濃度Cf
を推定することができる。 一方、吹錬終了時の溶鋼中リン濃度Pfおよびマ
ンガン濃度Mnfは、吹錬終点時の溶鋼中酸素ポテ
ンシヤルから、吹錬終点時のスラグと溶鋼との
リン分配比LPおよびマンガン分配比LMo、吹錬終
点時の溶鋼重量Wsteelおよびスラグ重量Wslag、転
炉内に装入されたPの総量WP-ioおよび同じくMn
の総量WMo-ioを介して推定することができる。す
なわち、転炉内には溶銑、冷銑、スクラツプおよ
び副原料が装入されるが、その装入材中のP含有
化合物の総P量WP-ioおよび装入材中のMn含有化
合物の総Mn量WMo-ioと、吹錬終点時における溶
鋼重量Wsteelおよびスラグ重量Wslagと、吹錬終点
時におけるスラグ中のP濃度PslagおよびMn濃度
Mnslagと、吹錬終点時における溶鋼中のP濃度Pf
およびMn濃度Mnfとの間には、転炉精錬におけ
るP、Mnの収支から次の(1)式および(2)式が成立
する。 Pf=(WP-io−Wslag・Pslag)/Wsteel ……(1) Mnf=(WMo-io−Wslag・Mnslag)/Wsteel ……(2) ここで吹錬終点時のリン分配比LPおよびマン
ガン分配比LMoは次の(3)、(4)で表わせる。 LP=Pslag/Pf ……(3) LMo=Mnslag/Mnf ……(4) したがつて(1)式、(2)式は次の(5)、(6)式のように
示される。 Pf=WP-io/(Wsteel+LP・Wslag) ……(5) Mnf=WMo-io/(Wsteel+LMo・Wslag)……(6) (5)、(6)式において、吹錬終点時におけるリン分
配比LPおよびマンガン分配比LMoは、例えば第2
図、第3図に示すように吹錬終点時の溶鋼中酸素
ポテンシヤルと良く相関しており、したがつて
その相関関係を利用して酸素ポテンシヤルや他
の操業要因から推定することができる。一方吹錬
終点時の溶鋼重量Wsteelは、溶銑重量、冷銑重
量、スクラツプ重量、およびミルスケールや鉄鉱
石重量など、転炉に装入された鉄源重量から容易
に推定することができる。また吹錬終点時のスラ
グ重量Wslagは、転炉内に挿入される生石灰、生
ドロマイト、ホタル石、軽焼ドロマイト、鉄鉱
石、ミルスケール、および溶銑、冷銑中のSi、
P、Mn、Ti、Alが酸化されて生成する化合物の
重量と、溶鋼が酸化されて生成するFeOを中心と
する化合物の重量TFeによつて定まるが、これら
のうち溶鋼が酸化されて生成するFeOを中心とす
る化合物以外の重量は、装入原料から容易に推定
でき、一方FeOを中心とする化合物の生成量TFe
は、例えば第4図に示すように溶鋼中の酸素ポテ
ンシヤルと良く対応するから、この相関関係を
利用して容易に推定することができる。 結局、(5)、(6)式においてリン分配比LPおよび
マンガン分配比LMoと、スラグ重量Wslag中のFeO
を中心とする化合物生成量TFeは溶鋼中の酸素ポ
テンシヤルとの相関関係によつて推定でき、そ
れ以外は転炉装入原料から推定できるから、転炉
装入原料のデータが既知であれば、吹錬終点時の
溶鋼中酸素ポテンシヤルを測定することによつ
て、前述の相関関係を利用して吹錬終点時の溶鋼
中C濃度、P濃度、Mn濃度を推定することが可
能である。そこでこの発明の方法では、予め溶鋼
中酸素ポテンシヤルと溶鋼中のC、Mn、P量と
の相関関係を求めておき、吹錬終点時に固体電解
質を利用した酸素濃淡電池を用いて溶鋼中の酸素
ポテンシヤルを測定して、前記相関関係から電子
計算機等を用いて吹錬終了時の溶鋼中C、P、
Mn濃度を短時間で推定(演算)する。 上述のようにこの発明の方法では溶鋼中の酸素
ポテンシヤルを、固体電解質を利用した酸素濃淡
電池を用いて測定する。このように固体電解質に
よる酸素濃淡電池を用いるのは、高温での測定が
可能でしかも取扱いが容易であるためである。第
5図にその酸素濃淡電池を組込んだ酸素検出プロ
ーブ1の一例を示す。第5図において、酸素イオ
ン伝導のための固体電解質2として例えばZrO2
が用いられ、その固体電解質2に接する標準電極
3として例えばCr−Cr2O3混合粉末が用いられ、
さらに溶鋼接触電極4として例えばMo棒が用い
られており、MoとCr−Cr2O3間の起電力(酸素
濃度起電力E)を取出すように構成されている。
また同時に例えばPr−13%Rh−Prからなる熱電
対5により溶鋼温度Tを測定するように構成され
ている。このような電池構成の場合、酸素濃度起
電力E(mV)および溶鋼温度T(℃)から酸素活
量(%基準)apは次の(7)式で与えられる。 log ap=4.62−(13580−10.08E)/(T+273)
……(7) 吹錬終点時の溶鋼成分をC0.05%、Mn0.15%、
P0.02%、S0.010%、0.06%とし、シグワース
(Sigworth)らの相互作用助係数(1600℃)の値
を用いれば酸素の活量係数f p は、 f p =0.962 であり、ほぼf p ≒1とみなせ、したがつて(7)式
は次の(8)式に示すようにあらわせる。 log =8.62−(13580−10.08E)/(T+273)
……(8) ここでは溶鋼中酸素ポテンシヤルであり、し
たがつて(8)式から溶鋼中酸素ポテンシヤルが求め
られる。 上述のような酸素濃淡電池による酸素検出プロ
ーブ1を用いた吹錬終点時溶鋼成分推定システム
の全体構成の一例を第6図に概略的に示す。第6
図において、転炉6の溶鋼中に浸漬された酸素検
出プローブ1からの酸素濃淡起電力Eの信号SE
アイソレータ7およびAD変換器8を介して演算
処理器9に入力され、また酸素検出プローブ1か
らの温度Tの信号STは炉側温度計録計10、AD
変換器8を経て演算処理器9に入力される。そし
てこの演算処理器9において酸素ポテンシヤル
が検出されるとともに、予め定めておいた相関関
係に基いて溶鋼中のC、Mn、P濃度が演算さ
れ、その推定値が表示盤11に表示される。なお
転炉装入原料のデータについても予め演算処理器
9に入力させておくことはもちろんである。 なおまた、溶鋼中の酸素ポテンシヤルは、前述
のような単独型のプローブ(イマージヨン型プロ
ーブ)を用いても良いし、あるいは他の測定も同
時に行うためのサブランスプローブに酸素濃淡電
池を組込んで測定しても良い。 また脱P反応は溶鋼中の酸素ポテンシヤルだけ
でなく、スラグの滓化状態の影響も強く受けるか
ら、P分配比の推定式中に滓化状態をあらわすパ
ラメータを取込むことにより、推定精度の向上を
図ることができる。このような滓化状態をあらわ
すパラメータとしては、上底吹転炉の場合、炉体
振動が適当である。すなわち、転炉炉体振動は、
例えば第7図に示すように、スクラツプが未溶解
で副原料投入量の少ない吹錬初期では振幅が小さ
いが、スクラツプが溶解し、副原料投入量が多く
なると振幅が大きくなる。さらに吹錬後半でスラ
グの滓化が進行すると、鋼浴の撹拌エネルギーが
スラグ層に吸収され、振幅は再び小さくなる。し
たがつて吹錬後半の炉体振動の振幅がある一定値
以下になつた時点から吹錬終了までの時間を測定
し、P分配比の推定に利用すれば、極めて高精度
で吹止P濃度を推定することが可能となる。例え
ば250トンクラスの上底吹転炉で炉体に差動トラ
ンスを接続して振動を測定した場合には、振幅が
1.5mm以下となつた時点から吹錬終了時までを測
定すれば良い。 上述のようなこの発明の推定方法においては、
測定条件によつても異なるが、通常は後述する実
施例からも明らかなようにC濃度Cfは化学分析値
と比較して±0.5×10-2%以内、リン濃度Pfは同
じく±0.9×10-3%以内、マンガン濃度Mnfは同じ
く±0.8×10-2%以内で推定可能である。また酸
素ポテンシヤルを検出してその値から演算するこ
とによつて成分を推定するため、化学分析を行う
場合と比較し極めて短時間で推定でき、したがつ
て吹止から出鋼までの時間を約20秒程度に短縮す
ることができる。 次にこの発明の実施例を記す。 実施例 Si0.26%、Mn0.36%、P0.146%を含有する溶鉄
271.1トンを上底吹転炉により吹錬するにあたり、
装入原料として溶銑のほか、スクラツプ6.3トン、
焼石灰7367Kg、ホタル石650Kg、鉄鉱石8492Kg、
生ドロマイト2984Kgを装入し、使用酸素量
13720Nm3にて吹錬し、吹錬終了時に第5図に示
すプローブを用いて第6図のシステムにより溶鋼
中C、P、Mn濃度を推定した。このとき、溶鋼
中酸素濃度は726ppm、溶鋼温度は1684℃であり、
それによる推定量はC0.027%、Mn0.109%、
P0.0122%、であつた。一方吹錬終点時に別途サ
ンプルを採取して化学分析を行つたところ、
C0.028%、Mn0.11%、P0.012%であり、推定値
が化学分析値に極めて近いことが確認された。 以上の説明で明らかなようにこの発明の溶鋼成
分推定方法によれば、溶鋼中のC、P、Mn濃度
を極めて迅速かつ正確に推定することができ、し
たがつて吹錬終点時から出鋼までに要する時間を
従来よりも大幅に短縮でき、そのため出鋼までの
間の転炉内溶鋼滞留による転炉耐火物の溶損量を
従来よりも小さくして、転炉耐火物の耐用チヤー
ジ数を従来よりも増加させることができ、また従
来サンプリングに要していた手間を省くことがで
きる効果が得られる。またこの発明の方法によれ
ば、吹錬吹点時のMn濃度を正確に推定できるた
め、Mn系合金鉄の取鍋への投入量を正確に決定
でき、そのため目標Mn濃度に対するばらつきを
従来よりも小さく(約60%程度)することがで
き、さらにはC濃度が高精度で推定できるため、
Mn系合金鉄の添加に際して高価な低炭Mn合金
鉄と安価な中炭Mn合金鉄(3種FeMn)との使
い分けがより精度良く実施でき、原単価の低減に
寄与する等の附随的効果も得られる。
DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a method for estimating the composition of molten steel at the end of blowing in converter steelmaking. As is well known, in the steelmaking process, it is extremely important to match the components of tapped steel, especially the contents of C, Mn, P, etc. in the tapped steel, to the target component values. In furnace steelmaking,
At the end of blowing, the furnace body is tilted to sample the molten steel, and chemical analysis is performed. If the component values of the analysis results approximately match the target values, the steel is tapped as is, and if it deviates from the target values, the steel is re-blown. After refining, etc., the steel is tapped. However, in this conventional method, sampling and analysis take a long time, and it takes an average of about 3 minutes from the end of blowing to sampling and analysis to tapping the steel. There was a problem in which the refractories of the converter were severely eroded by the stagnant molten steel. This invention was made in view of the above circumstances, and the molten steel composition at the end of blowing, especially C, without sampling and analysis at the end of blowing.
By accurately estimating the amount of Mn and P in a short period of time, the time required from the end of blowing to the time of steel tapping can be shortened, and the amount of corrosion of the refractories in the converter during that time can be reduced. The purpose is to eliminate the labor required for conventional sampling. As a result of various experiments and studies to achieve the above-mentioned purpose, the present inventors have determined the oxygen potential in molten steel at the end of blowing, the carbon concentration in molten steel, the amount of iron in slag, and the P ratio between slag and molten steel. Distribution ratio L P , Mn distribution ratio
Since there is a correlation with L Mo , they discovered that it is possible to estimate the amounts of C, Mn, and P in molten steel simply by measuring the oxygen potential, leading to this invention. Therefore, this invention is a method for estimating the molten steel composition after the completion of blowing when refining molten steel by oxygen blowing using a converter. The oxygen potential is measured, and the C concentration in the molten steel is estimated based on the correlation between the oxygen potential determined in advance and the C concentration in the molten steel.The Mn and P concentrations in the molten steel are estimated based on the previously determined C concentration. The Mn distribution ratio or P distribution ratio is estimated based on the correlation between the oxygen potential and the Mn distribution ratio or P distribution ratio between slag and molten steel, and then the estimated Mn distribution ratio or P distribution ratio and the charged raw material are This method is characterized in that the Mn and P concentrations are calculated by calculating the amount of Mn or P contained therein and the molten steel weight and slag weight estimated from the charged raw materials. The method of this invention will be explained in more detail below. First , we will explain the relationship between the carbon concentration in molten steel C f at the end of blowing (at the end of blowing) and the oxygen potential O in molten steel at the end of blowing. A correlation exists. Therefore, using this correlation, the carbon concentration in molten steel C f can be calculated directly from the oxygen potential O in molten steel.
can be estimated. On the other hand, the phosphorus concentration P f and manganese concentration Mn f in the molten steel at the end of blowing are calculated from the oxygen potential O in the molten steel at the end of blowing, and the phosphorus distribution ratio L P between slag and molten steel at the end of blowing and the manganese distribution. ratio L Mo , weight of molten steel at the end of blowing W steel and weight of slag W slag , total amount of P charged in the converter W P-io and also Mn
can be estimated via the total amount W Mo-io . In other words, hot metal, cold pig iron, scrap, and auxiliary raw materials are charged into the converter, but the total P content W P-io of P-containing compounds in the charging material and the Mn-containing compound content in the charging material are Total Mn amount W Mo-io , molten steel weight W steel and slag weight W slag at the end of blowing, P concentration in slag P slag and Mn concentration at the end of blowing
Mn slag and P concentration P f in molten steel at the end of blowing
and the Mn concentration Mn f , the following equations (1) and (2) hold from the balance of P and Mn in converter refining. P f = (W P-io −W slag・P slag )/W steel ……(1) Mn f = (W Mo-io −W slag・Mn slag )/W steel ……(2) Blowing here The phosphorus distribution ratio L P and the manganese distribution ratio L Mo at the end point can be expressed by the following (3) and (4). L P =P slag /P f ...(3) L Mo =Mn slag /Mn f ...(4) Therefore, equations (1) and (2) are equivalent to the following equations (5) and (6). It is shown as follows. P f = W P-io / (W steel +L P・W slag ) ……(5) Mn f = W Mo-io / (W steel +L Mo・W slag )……(6) (5), (6 ), the phosphorus distribution ratio L P and the manganese distribution ratio L Mo at the end of blowing are, for example, the second
As shown in Fig. 3, there is a good correlation with the oxygen potential O in molten steel at the end of blowing, and therefore, using this correlation, it can be estimated from the oxygen potential O and other operating factors. . On the other hand, the weight of molten steel W steel at the end of blowing can be easily estimated from the weight of iron sources charged into the converter, such as the weight of hot metal, the weight of cold pig iron, the weight of scrap, and the weight of mill scale and iron ore. In addition, the slag weight W slag at the end of blowing is determined by the amount of quicklime, quick dolomite, fluorspar, light calcined dolomite, iron ore, mill scale, and Si in the hot metal and cold pig iron inserted into the converter.
It is determined by the weight of the compounds produced when P, Mn, Ti, and Al are oxidized, and the weight T Fe of the compounds mainly composed of FeO produced when molten steel is oxidized. The weight of compounds other than FeO-based compounds can be easily estimated from the charged raw materials; on the other hand, the production amount of FeO-based compounds T Fe
For example, as shown in FIG. 4, since it corresponds well to the oxygen potential O in molten steel, it can be easily estimated using this correlation. After all, in equations (5) and (6), the phosphorus distribution ratio L P and the manganese distribution ratio L Mo and the slag weight W FeO in the slag
The amount of compounds produced, mainly T Fe , can be estimated from the correlation with the oxygen potential O in molten steel, and everything else can be estimated from the raw material charged in the converter, so even if the data on the raw material charged in the converter is known, For example, by measuring the oxygen potential in molten steel at the end of blowing, it is possible to estimate the C concentration, P concentration, and Mn concentration in molten steel at the end of blowing using the above-mentioned correlation. . Therefore, in the method of this invention, the correlation between the oxygen potential in molten steel and the amounts of C, Mn, and P in molten steel is determined in advance, and at the end of blowing, an oxygen concentration battery using a solid electrolyte is used to measure the oxygen concentration in molten steel. Measure the potential, and use a computer or the like to determine the C, P, and
Estimate (calculate) Mn concentration in a short time. As described above, in the method of the present invention, the oxygen potential in molten steel is measured using an oxygen concentration cell using a solid electrolyte. The reason why an oxygen concentration battery using a solid electrolyte is used is that it allows measurement at high temperatures and is easy to handle. FIG. 5 shows an example of an oxygen detection probe 1 incorporating the oxygen concentration battery. In FIG. 5, for example, ZrO 2 is used as the solid electrolyte 2 for oxygen ion conduction.
is used, and as the standard electrode 3 in contact with the solid electrolyte 2, for example, a Cr-Cr 2 O 3 mixed powder is used,
Furthermore, a Mo rod , for example, is used as the molten steel contact electrode 4, and is configured to extract the electromotive force between Mo and Cr- Cr2O3 (oxygen concentration electromotive force E).
At the same time, the temperature T of the molten steel is measured by a thermocouple 5 made of, for example, Pr-13% Rh-Pr. In the case of such a battery configuration, the oxygen activity (% basis) a p is given by the following equation (7) from the oxygen concentration electromotive force E (mV) and the molten steel temperature T (° C.). log a p = 4.62−(13580−10.08E)/(T+273)
...(7) The molten steel composition at the end of blowing is C0.05%, Mn0.15%,
Assuming P0.02%, S0.010%, and O 0.06%, and using the value of the interaction coefficient (1600°C) of Sigworth et al., the oxygen activity coefficient f p is f p =0.962, It can be assumed that f p ≈1, and therefore, equation (7) can be expressed as shown in equation (8) below. log O =8.62−(13580−10.08E)/(T+273)
...(8) Here, O is the oxygen potential in molten steel, and therefore, the oxygen potential in molten steel can be found from equation (8). FIG. 6 schematically shows an example of the overall configuration of a system for estimating molten steel composition at the end of blowing using the oxygen detection probe 1 using the oxygen concentration battery as described above. 6th
In the figure, a signal S E of an oxygen concentration electromotive force E from an oxygen detection probe 1 immersed in molten steel in a converter 6 is input to an arithmetic processor 9 via an isolator 7 and an AD converter 8. Temperature T signal S T from probe 1 is furnace side temperature recorder 10, AD
The signal is inputted to an arithmetic processor 9 via a converter 8. In this arithmetic processor 9, the oxygen potential O
are detected, and the concentrations of C, Mn, and P in the molten steel are calculated based on a predetermined correlation, and the estimated values are displayed on the display panel 11. It goes without saying that the data on the raw material charged to the converter is also input into the arithmetic processor 9 in advance. Furthermore, the oxygen potential in molten steel can be measured by using a stand-alone probe (immersion type probe) as mentioned above, or by incorporating an oxygen concentration battery into a sublance probe to perform other measurements at the same time. You can also measure it. In addition, since the P removal reaction is strongly influenced not only by the oxygen potential in molten steel but also by the slag state of the slag, the estimation accuracy can be improved by incorporating a parameter representing the slag state into the equation for estimating the P distribution ratio. can be achieved. In the case of a top-bottom blowing converter, furnace vibration is suitable as a parameter representing such a slag state. In other words, the converter furnace body vibration is
For example, as shown in FIG. 7, the amplitude is small at the beginning of blowing when the scrap is unmelted and the amount of auxiliary material input is small, but as the scrap is melted and the amount of auxiliary material input increases, the amplitude increases. Furthermore, as the slag becomes slag in the latter half of blowing, the stirring energy of the steel bath is absorbed by the slag layer, and the amplitude becomes smaller again. Therefore, by measuring the time from the moment when the amplitude of the furnace body vibration in the latter half of blowing falls below a certain value to the end of blowing and using it to estimate the P distribution ratio, it is possible to estimate the blow-end P concentration with extremely high accuracy. It becomes possible to estimate. For example, when measuring vibrations in a 250-ton class top-bottom blowing converter with a differential transformer connected to the furnace body, the amplitude is
It is sufficient to measure from the time when the thickness becomes 1.5 mm or less until the end of blowing. In the estimation method of this invention as described above,
Although it varies depending on the measurement conditions, normally the C concentration C f is within ±0.5 × 10 -2 % compared to the chemical analysis value, and the phosphorus concentration P f is also ±0.9, as is clear from the examples described later. Similarly , the manganese concentration Mn f can be estimated within ±0.8×10 -2 %. In addition, since the components are estimated by detecting the oxygen potential and calculating from that value, it can be estimated in an extremely short time compared to chemical analysis. It can be shortened to about 20 seconds. Next, examples of this invention will be described. Example Molten iron containing 0.26% Si, 0.36% Mn, and 0.146% P
In blowing 271.1 tons using a top-bottom blowing converter,
In addition to hot metal as charging raw materials, 6.3 tons of scrap,
Burnt lime 7367Kg, fluorite 650Kg, iron ore 8492Kg,
Charged 2984 kg of raw dolomite, and the amount of oxygen used
Blowing was carried out at 13720 Nm 3 , and at the end of blowing, the C, P, and Mn concentrations in the molten steel were estimated using the system shown in Fig. 6 using the probe shown in Fig. 5. At this time, the oxygen concentration in the molten steel was 726ppm, the molten steel temperature was 1684℃,
The estimated amounts are C0.027%, Mn0.109%,
It was P0.0122%. On the other hand, a separate sample was taken at the end of the blowing process and chemically analyzed.
It was confirmed that the estimated values were very close to the chemical analysis values, with C0.028%, Mn0.11%, and P0.012%. As is clear from the above explanation, according to the molten steel composition estimating method of the present invention, the C, P, and Mn concentrations in molten steel can be estimated extremely quickly and accurately. As a result, the amount of corrosion of the converter refractory due to molten steel stagnation in the converter until tapping is reduced compared to the conventional method, and the serviceable charge number of the converter refractory is reduced. can be increased compared to the conventional method, and the effort conventionally required for sampling can be saved. Furthermore, according to the method of the present invention, since the Mn concentration at the blowing point can be accurately estimated, the amount of Mn-based ferroalloy to be charged into the ladle can be determined accurately. can be reduced (approximately 60%), and the C concentration can be estimated with high accuracy.
When adding Mn-based ferroalloy, the use of expensive low-carbon Mn-alloy ferroalloy and cheap medium-carbon Mn-alloy ferroalloy (Type 3 FeMn) can be carried out with greater accuracy, and additional effects such as contributing to a reduction in the unit price can also be achieved. can get.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図は溶鋼中炭素濃度Cfと溶鋼中酸素ポテン
シヤルとの相関関係の一例を示す相関図、第2
図はスラグ−溶鋼間のリン分配比LPと溶鋼中酸
素ポテンシヤルとの相関関係の一例を示す相関
図、第3図はスラグ−溶鋼間のマンガン分配比
LMoと溶鋼中酸素ポテンシヤルとの関係の一例
を示す相関図、第4図はFeOを中心とする化合物
の生成量TFeと溶鋼中酸素ポテンシヤルとの相
関関係の一例を示す相関図、第5図はこの発明の
方法の実施に使用される酸素濃淡電池を組込んだ
酸素検出プローブの一例を示す略解的な断面図、
第6図はこの発明の方法を実施するためのシステ
ムの全体構成の一例を示す略解図、第7図は上底
吹転炉における炉体振動測定結果の一例である。
Figure 1 is a correlation diagram showing an example of the correlation between the carbon concentration C f in molten steel and the oxygen potential O in molten steel.
The figure shows an example of the correlation between the phosphorus distribution ratio L P between slag and molten steel and the oxygen potential O in molten steel. Figure 3 shows the manganese distribution ratio between slag and molten steel.
Figure 4 is a correlation diagram showing an example of the relationship between L Mo and the oxygen potential O in molten steel; FIG. 5 is a schematic cross-sectional view showing an example of an oxygen detection probe incorporating an oxygen concentration battery used in carrying out the method of the present invention;
FIG. 6 is a schematic diagram showing an example of the overall configuration of a system for carrying out the method of the present invention, and FIG. 7 is an example of the measurement results of furnace body vibration in a top-bottom blowing converter.

Claims (1)

【特許請求の範囲】 1 転炉を用いた酸素吹錬による溶鋼の精練にあ
たつて吹錬終了時の溶鋼成分を推定する方法にお
いて、 固体電解質を利用した酸素濃淡電池を用いて溶
鋼中の酸素ポテンシヤルを測定し、 溶鋼中のC濃度に関しては、予め求めておいた
酸素ポテンシヤルと溶鋼中C濃度との相関関係に
基いて推定し、 溶鋼中のMn、P濃度に関しては、予め求めて
おいた酸素ポテンシヤルとスラグ−溶鋼間のMn
分配比もしくはP分配比との相関関係に基いて
Mn分配比もしくはP分配比を推定し、さらにそ
の推定したMn分配比もしくはP分配比と、装入
原料中に含まれるMnもしくはPの量と、装入原
料から推定した溶鋼重量およびスラグ重量とから
演算してMn、P濃度を求めることを特徴とする
溶鋼成分推定方法。
[Scope of Claims] 1. A method for estimating the composition of molten steel at the end of blowing when refining molten steel by oxygen blowing using a converter, which includes: The oxygen potential is measured, and the C concentration in the molten steel is estimated based on the correlation between the oxygen potential determined in advance and the C concentration in the molten steel.The Mn and P concentrations in the molten steel are estimated based on the previously determined C concentration. Oxygen potential and Mn between slag and molten steel
Based on the distribution ratio or correlation with the P distribution ratio
The Mn distribution ratio or P distribution ratio is estimated, and the estimated Mn distribution ratio or P distribution ratio, the amount of Mn or P contained in the charging raw material, and the molten steel weight and slag weight estimated from the charging raw material are calculated. A molten steel composition estimation method characterized by calculating Mn and P concentrations from .
JP58010686A 1983-01-25 1983-01-25 Method for estimating molten steel constituent Granted JPS59136652A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP58010686A JPS59136652A (en) 1983-01-25 1983-01-25 Method for estimating molten steel constituent

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP58010686A JPS59136652A (en) 1983-01-25 1983-01-25 Method for estimating molten steel constituent

Publications (2)

Publication Number Publication Date
JPS59136652A JPS59136652A (en) 1984-08-06
JPH0257666B2 true JPH0257666B2 (en) 1990-12-05

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Family Applications (1)

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Country Status (1)

Country Link
JP (1) JPS59136652A (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0649890B2 (en) * 1988-02-25 1994-06-29 住友金属工業株式会社 Method for estimating end point components in converter blowing
JP3037332U (en) * 1996-10-17 1997-05-16 大阪酸素工業株式会社 Carbon concentration estimation probe
JP2005206877A (en) * 2004-01-22 2005-08-04 Sumitomo Metal Ind Ltd Method for estimating carbon concentration during converter blowing
JP5483429B2 (en) * 2010-03-26 2014-05-07 日新製鋼株式会社 Method for accurately estimating phosphorus concentration in molten steel
CN102128836B (en) * 2010-12-06 2013-02-13 天津钢铁集团有限公司 Method for detecting manganese in carbon manganese alloy
CN109777923B (en) * 2019-02-28 2020-12-15 北京首钢股份有限公司 RH refined alloy adding control method

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