JPH0442451B2 - - Google Patents

Info

Publication number
JPH0442451B2
JPH0442451B2 JP23196789A JP23196789A JPH0442451B2 JP H0442451 B2 JPH0442451 B2 JP H0442451B2 JP 23196789 A JP23196789 A JP 23196789A JP 23196789 A JP23196789 A JP 23196789A JP H0442451 B2 JPH0442451 B2 JP H0442451B2
Authority
JP
Japan
Prior art keywords
molten steel
blowing
concentration
oxygen
blow
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
Application number
JP23196789A
Other languages
Japanese (ja)
Other versions
JPH02170909A (en
Inventor
Iwao Tsubone
Tadashi Saito
Hisashi Yamana
Shinichi Maeda
Hidetaka Takezoe
Naoteru Ogawa
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.)
Kobe Steel Ltd
Original Assignee
Kobe Steel 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 Kobe Steel Ltd filed Critical Kobe Steel Ltd
Priority to JP23196789A priority Critical patent/JPH02170909A/en
Publication of JPH02170909A publication Critical patent/JPH02170909A/en
Publication of JPH0442451B2 publication Critical patent/JPH0442451B2/ja
Granted legal-status Critical Current

Links

Landscapes

  • Carbon Steel Or Casting Steel Manufacturing (AREA)

Description

【発明の詳細な説明】[Detailed description of the invention]

[産業上の利用分野] 本発明はMn,PおよびSのうち少なくとも1
種以上の成分について吹止時の溶鋼中濃度を高精
度に推定することのできる方法に関し、詳細に
は、吹錬途中に測定される上記成分の溶鋼中濃度
を基にして、これに操業項目の要因を加えて吹止
成分推定精度を高める方法に関するものである。 [従来の技術] 従来の転炉操業においては、吹止めに到つた時
点で転炉内の溶鋼をサンプリングし、溶鋼成分
(特にC,Mn,P,S等)の成分分析を行なつ
て、これらが目標基準に達しているか否かをチエ
ツクし、不合格であれば再吹錬し、合格判定を持
つてはじめて出鋼するという手順で操業管理がな
されてきた。しかし従来の方法であれば、吹止め
後成分分析が完了するまでに最低5分間を要し、
その結果、(イ)転炉から連鋳機への溶鋼供給ピツチ
が遅くなり、生産能力の向上にとつて重要な溢路
となつているだけでなく、(ロ)溶鋼の炉内滞留時間
が長く耐火物との接触時間が長いこと、並びに出
鋼待ちによる温度低下の恐れのため吹止温度を必
要以上に高く設定する必要があること、等の複合
効果として転炉耐火物の損傷が早いとい問題があ
つた。 そこで近年の転炉操業においては、吹止め後の
成分分析を省略して直ちに出鋼するという形態
(以下迅速出鋼と言う)を採用する方向での検討
が進められ、上記(イ)、(ロ)で述べた様な欠点が解消
されつつある。 しかしながら迅速出鋼操業の実施に当たつて
は、吹止め時の溶鋼成分を、成分分析を行なうこ
となしに言い当てる技術、即ち吹止成分推定技術
を確立することが大前提となる。この推定技術が
不正確であること、(a)事実としては目標成分が達
成されているにもかかわらず未達成であるとの誤
認判定を行なつたときは、不必要な再吹錬を行な
つて前記(イ)、(ロ)の問題を大きくしたり、或は(b)事
実としては目標成分が未達成であるにもかかわら
ず達成であると判断して出鋼を行なつたときは、
規格を満足しない製品を作ることになつてしまう
という問題を生じる。そこで前記推定技術の精度
を高めることが要求され、下記の様な提案がなさ
れている。 () 吹止時にサブランスを用いて溶鋼をサン
プリングし、凝固点を測定してその値から炭素
濃度を推定する方法。 () 吹錬中の溶鋼をサンプリングし、隣濃度
の分析値を基にして下記式により吹止燐濃度を
推定する方法(特開昭52−105512)。 [P]S=[P]B−αt ……(1) ただし [P]S:吹止溶鋼中の燐濃度 [P]B:吹錬中の溶鋼中燐濃度 α:係数 t:サンプリング採取時から吹止めまでの時間 () 吹錬中の溶鋼をサンプリングし、C,
Mn,P,Sの各成分について溶鋼中濃度を分
析し、更に吹止時採取溶鋼の凝固温度または火
花判定等によつて吹止溶鋼中の炭素濃度[C]S
を推定する。そして溶鋼中におけるCとMn,
P,Sの関係を示す下記式 [M]=αM([C]−AMkM+βM ……(2) ただし [M]:溶鋼中のMn,P,S濃度 A,K:定数 [C]:溶鋼中のCの濃度 αM,AM,kM:定数 βM:溶鋼中の炭素濃度を小さくしたときの
[M]の到達最小値 を用い、前記式におけるβMを、吹錬条件、吹
錬中採取サンプル分析値、各時点における溶鋼
温度等の要因xiから下記式 βM=aOM+ΣaiM・Xi ……(3) ただしaiM:係数 によつて決定する。そして前記(2)式に[C],
[M],βMを代入することによつて該(2)式にお
ける係数αMを決定し、更に前記で推定された
吹止溶鋼中の炭素濃度[C]Sを前記(2)式の
[C]に代入して[M]の値、即ち吹止溶鋼中
のMn,P,Sを推定する方法(特開昭56−
3611)。 () 吹止時にサブランスを適用し、酸素濃淡
電池を原理とする酸素センサーによつて溶鋼中
の酸素分圧を推定し、更に副原料等の操業条件
xiを要因に加え、下記式、 [M]S=a0[O]F+Σ(ai・xi)+K ……(4) ただし [M]S:吹止溶鋼中のMn,P,S濃度 [O]F:溶鋼中の酸素分圧 aO,ai:係数 K:定数 によつて吹止時のMn,P,S濃度を推定す
る。 [発明が解決しようとする課題] 上記()〜()の方法は夫々次の様な欠点
を有している。 まず()の方法は炭素濃度の推定に適用でき
るだけであり、しかも液相線温度の[C]依存性
が小さい低炭素領域([C]≦0.10%)ではσ=
0.02%程度の推定精度しか得られない。 次に()の方法は溶鋼中[P]が吹錬時間の
みに依存するとの仮定の下で組立てた推定法であ
り鋼種や操業条件に変動の無い場合は一応有効な
手段であるが、これらがチヤージ毎に変動する様
な場合には適用することができず、また燐濃度の
推定にしか利用できない。 ()の方法はMn,P,Sの各濃度の推定に
利用できるが、各元素毎の推定精度はσ(Mn)=
0.0149%、σ(P)=0.00177%、σ(S)=0.00151
%程度であり、成分規格の厳しい鋼種や、転炉に
おける脱燐条件が厳しく負荷されている様な鋼種
には安心して適用することができないという欠点
がある。 最後に()の方法は、低炭素域において特に
有用な手段であり、且つC濃度の推定精度はσ=
0.0073%と良好であるが、他の成分についてみる
と、σ(Mn)=0.0165%、σ(P)=0.00294%、σ
(S)=0.00102%程度に止まり、()の場合と同
様適用範囲は狭い。 以上述べた様に特に吹止め時のMn,P,S濃
度については高炭素域および低炭素域を通じて高
精度に推定できる技術が知られておらず、転炉精
錬法における迅速出鋼操業の採用比率は未だ低
い。本発明は上記の様な事情を考慮してなされた
ものであつて、転炉吹錬におけるMn,P,Sの
各吹止時濃度を高精度に推定し得る技術を確立す
ることによつて、迅速出鋼比率の向上に資するこ
とを目的とするものである。 [課題を解決する為の手段] 上記目的を達成することのできた本発明とは、
転炉吹錬途中に溶鋼サンプルを採取し、Mn,P
およびSのうち少なくとも1種以上の成分につい
て吹錬途中における溶鋼中濃度[M]Bを測定し、
その結果を用いて当該成分の吹止溶鋼中濃度
[M]Sを推定する方法において、 (1) 副原料の量 (2) 溶鋼サンプル採取時点から吹止迄の吹錬酸素
使用量、 (3) 酸素バランスから計算されるスラグ中残留酸
素量、 (4) 吹止時に測定される溶鋼中の酸素分圧、 (5) 吹止時の溶鋼温度 (6) 吹止時の炭素濃度 (7) 溶銑条件 よりなる操業項目群の中から少なくとも1以上の
項目を選び、当該選ばれた項目に係る要因を前記
吹錬途中における溶鋼中濃度[M]Bに加えて構成
される下記回帰式 [M]S=[M]B+ΣαXi+定数 ……[] 式中 [M]S:吹止溶鋼中濃度 [M]B:吹錬途中における溶鋼中濃度 α:係数 Xi:前記(1)〜(7)よりなる操業項目群の中から
選ばれる1以上の項目に係る要因 に基づいて当該成分の吹止溶鋼中濃度を推定する
ことを要旨とするものである。 [作用] 酸素吹錬における鋼浴中Mn,P,Sの反応に
ついては次の様な反応が考えられる。 [Mn]+(FeO)=(MnO)+Fe 2[P]+4(caO′)+5(FeO) =(CaO′)4・P2O5+5Fe (CaO)+[FeS]= (CaS)+(FeO) [S]+2[O]=SO2(ガス) 従つて吹止時の鋼浴中Mn,P,S濃度の支配
因子としては溶銑条件(溶銑の量や成分組成−特
にMn,P,Sの濃度)、スラグ量、並びに溶鋼
−スラグ間の各成分の分配関係が挙げられる。こ
れらのうち溶鋼−スラグ間の分配関係を更に詳細
に分析すると、スラグ組成(特にCaO濃度や
SiO2濃度)、系中の酸素分圧(具体的にはスラグ
中のFeO濃度、溶鋼中の酸素分圧)並びに吹止時
の溶鋼温度や炭素濃度が重要な支配因子となつて
いる。 そのため本発明者等は、吹錬途中にサンプリン
グした溶鋼から得られる溶鋼中のMn,P,S濃
度情報を推定計算のベースに置きつつ、これらに
加えて (1) 副原料の量 (2) 前記途中サンブリング以後の吹錬酸素量 (3) 吹止時のスラグ中残留酸素量 (4) 吹止時の溶鋼中酸素分圧 (5) 吹止時の溶鋼温度 (6) 吹止時の炭素濃度 (7) 溶銑条件 の中から選ばれる1項目以上を要因として組合わ
せ、統計的に作成した前記式(5)を用いて吹止迄に
溶鋼中濃度がどの様に変化するかを考慮に入れ、
吹止時の最終的溶鋼中濃度を推定することとした
のである。尚より高精度の推定を行なうには、前
記7項目の全てを要因として加えることが推奨さ
れる。 吹錬途中のサンプリング溶鋼を対象とする
Mn,P,S濃度の測定に当たつてはその方法を
限定しないが、カントバツク分析法(例えば真空
型発行分析装置によるパルス分析測定方式)は有
効な手段として推奨される。 上記(1)の項目は吹錬の開始に当たつて設計され
る項目であり、また(2)の項目は吹錬実績として容
易に把握できる項目であるから、これら2項目に
係る情報については格別の困難なしに入手でき
る。 次に(3)の項目については次の計算式によつて算
出すれば良い。 ΔOS=∫t t1{(インプツト酸素−アウトプツト酸
素)}dt 但し t1:前記途中サンプリングした時期 インプツト酸素:吹錬酸素量と副原料中
の酸素量から求める アウトプツト酸素:排ガスの中の酸素量 スラグ中残留酸素の計算方式は上記計算式に限
定される訳ではないが、上記計算式で求める場合
は、前チャージの残留スラグ中に含まれる酸素量
による変動を受けず、また計算期間が短いのでセ
ンサー誤差も少なくなり、精度の高い吹錬制御用
パラメータとして採用される。 (4)の項目については吹止時にサブランスを適用
し、適宜の酸素センサーを用いて溶鋼中の酸素分
圧(以下[O]Fと記す)を測定する。酸素センサ
ーの機構については本発明を制限しないが、酸素
濃淡電池をサプランスの先端に取付けておこなう
方式を採用すれば、溶鋼中にこれを浸漬して測定
することができるので、溶鋼サンプルを汲出して
色々な測定を行なう方式に比べて顕著な時間短縮
を図ることができる。 (5)の項目である吹止時の溶鋼温度についてはサ
ブランスを用いて簡単に測定することができる
し、場合によつては転炉のダイナミツク・コント
ロールとして公知の手法を用いて推定した値をそ
のまま採用することもできる。 (6)の項目である吹止時の炭素濃度については例
えばサプランスを用いて採取されたサンプル溶鋼
の凝固温度に基づく炭素濃度推定によつて求める
方法や、前述のダイナミツク・コントロール法を
利用して推定する方法等が例示される。 (7)の項目である溶銑条件としては吹錬の主原料
となる溶銑の量及び溶銑中のMn,P,S濃度を
夫々初期データの中から選択して使用する。 本発明における測定項目(1)〜(7)のうちもつとも
重要なものは(4)で述べた溶鋼中の酸素分圧[O]F
であるが、従来本発明者らが[O]Fをベースにし
て吹止溶鋼中のMn,P,S濃度を推定する技術
を研究していたところ、低炭素域では計算値と実
測値の間に相関性が認められたにもかかわらず、
高炭素域ではスラグが過酸化状態となつてスラグ
−溶鋼間が非平衡状態となり、計算値と実測値は
全く合わず、高炭素域では[O]Fによる推定はで
きなかつた。 これに対し本発明では吹錬途中にサンプリング
し、溶鋼中のMn,P,S濃度を迅速分析し、そ
のデーターに前記(4)を除く(1)〜(6)の要因を加えて
吹止時のMn,P,S濃度を推定する様にしたの
で、推定精度が極めて高いものとなつた。 [実施例] 第1図は本発明方法によつて成分推定を行なう
場合の実施例フロー図であり、吹止の2.5分間に
サブランスを浸漬して溶鋼中のC濃度および溶鋼
温度を測定すると共に、Mn,P,S濃度を測定
するための溶鋼をサンプリングし、カントバツク
分析に供する。一方吹止時点にもサブランスを浸
漬し、ここでは溶鋼温度と[O]Fを測定して前記
カントバツク分析結果と共にCPUにインプツト
し、ここで迅速に計算を行ない、目標成分と照合
して出鋼の可否を判定する。そして不合格であれ
ば再吹錬する。尚本発明はサンプルのカントバツ
ク分析によつて吹止時点そのものを制御するもの
ではないから、吹止時点は計画通り実行すること
とし、そのときのMn,P,S濃度を直接濃度分
析によらなくとも迅速且つ高精度に推定できる方
法である。 実施例 1 240トン上下吹転炉を用い、第1表に示す成分
規格の高炭素鋼を得る目的で吹錬を計画した。ま
ず第2表に示す成分の予備処理された溶銑250ト
ンを転炉に装入した。吹錬を開始し、生石灰3ト
ン、軽焼ドロマイト2トン、蛍石0.9トンを装入
した。吹錬開始後13分目にサブランスで溶鋼サン
ブルを採取・回収し、Mn,P,Sを分析した。
吹錬はサンプル採取時点から2.5分後に終了し、
サブランスを用いて溶鋼温度を測定した。当チヤ
ージにおいて、サンプル分析値、投入した生石
灰、軽焼ドロマイト、蛍石の量、サンプル採取時
点から吹止までのインプツト酸素量(吹錬酸素、
巻き込み空気)とアウトプツト酸素量(CO,
CO2)の差から計算した残留酸素量412Nm3、お
よび吹止で測定した溶鋼温度1680℃を要因として
(5)式で吹止のMn,P,Sを推定したところ、第
3表の値が得られた。P,Sは第2表の成分規格
を満足していたのでただちに出鋼を開始し、Mn
については規格の成分に達するようMn合金鉄を
投入した。なお、Cについては従来法()で推
定した。また吹止でサブランスを用いて溶鋼温度
を測定する際に溶鋼サンプル採取も行ない、別途
分析したところ第4表の値であり、本法による推
定は高炭素鋼においても高い精度であることを確
認した。
[Industrial Application Field] The present invention provides at least one of Mn, P and S.
Regarding a method that can highly accurately estimate the concentration of more than one component in molten steel at the end of blowing, the method is based on the concentration of the above components in molten steel measured during blowing. The present invention relates to a method of increasing the accuracy of estimating a blowout component by adding the following factors. [Prior art] In conventional converter operation, the molten steel in the converter is sampled at the time when it reaches the stop, and the components of the molten steel (especially C, Mn, P, S, etc.) are analyzed. Operations have been managed by checking whether these meet the target standards, re-blowing if they fail, and tapping the steel only after passing the test. However, with the conventional method, it takes at least 5 minutes to complete the component analysis after blow-off.
As a result, (a) not only does the molten steel supply pitch from the converter to the continuous caster slow down, which becomes an important overflow path for improving production capacity, but also (b) the residence time of molten steel in the furnace becomes slower. The combined effects of the long contact time with the refractories and the need to set the blow-off temperature higher than necessary due to the risk of temperature drop while waiting for the steel to be tapped lead to rapid damage to the converter refractories. I had a problem. Therefore, in recent years, in converter operation, studies have been progressing toward adopting a system in which the component analysis after blow-stopping is omitted and steel is tapped immediately (hereinafter referred to as rapid steel tapping). The shortcomings mentioned in b) are being resolved. However, in carrying out rapid steel tapping operations, it is a major prerequisite to establish a technique for estimating the composition of molten steel at the time of blow-stopping without performing a component analysis, that is, a technique for estimating the blow-off composition. If this estimation technology is inaccurate or (a) it incorrectly determines that the target composition has not been achieved even though it is in fact achieved, unnecessary reblowing may be required. (b) When the steel extraction is carried out with the judgment that the target composition has been achieved even though in reality the target composition has not been achieved. teeth,
A problem arises in that products that do not meet the standards are manufactured. Therefore, there is a need to improve the accuracy of the estimation technique, and the following proposals have been made. () A method in which molten steel is sampled using a sublance at the time of blow-off, the freezing point is measured, and the carbon concentration is estimated from that value. () A method of sampling molten steel during blowing and estimating the end-of-blowing phosphorus concentration using the following formula based on the analytical value of the adjacent concentration (Japanese Patent Application Laid-Open No. 105512/1983). [P] S = [P] B −αt ...(1) However, [P] S : Phosphorus concentration in blow-stop molten steel [P] B : Phosphorus concentration in molten steel during blowing α: Coefficient t: Time of sampling Time from to the end of blowing () Sampling the molten steel during blowing, C,
The concentration of Mn, P, and S in the molten steel is analyzed, and the carbon concentration [C] S
Estimate. And C and Mn in molten steel,
The following formula showing the relationship between P and S [M] = α M ([C] - A M ) kM + β M ... (2) where [M]: Mn, P, S concentration in molten steel A, K: constant [C]: Concentration of C in molten steel α M , A M , k M : Constant β M : Using the minimum value of [M] reached when the carbon concentration in molten steel is reduced, β M in the above formula is Based on factors xi such as blowing conditions, sample analysis values collected during blowing, and molten steel temperature at each point, the following formula β M = a OM + ΣaiM・Xi ... (3) where aiM: is determined by the coefficient. And [C] in the above formula (2),
By substituting [M] and β M , the coefficient α M in equation (2) is determined, and the carbon concentration [C] S in the blow-blown molten steel estimated above is determined by substituting [M] and β M into equation (2). A method of estimating the value of [M], that is, Mn, P, and S in blow-stopped molten steel by substituting [C]
3611). () At the time of blow-off, a sublance is applied, the oxygen partial pressure in the molten steel is estimated by an oxygen sensor based on an oxygen concentration battery, and the operating conditions such as auxiliary raw materials are estimated.
Adding xi to the factors, the following formula, [M] S = a 0 [O] F + Σ (a i x i ) + K ... (4) where [M] S : Mn, P, S in blow-stopped molten steel Concentration [O] F : Oxygen partial pressure in molten steel aO , ai : Coefficient K: Estimate Mn, P, and S concentrations at the time of blow-off using constants. [Problems to be Solved by the Invention] The methods () to () above each have the following drawbacks. First, the method in () can only be applied to the estimation of carbon concentration, and moreover, in the low carbon region ([C]≦0.10%) where the dependence of liquidus temperature on [C] is small ([C]≦0.10%), σ =
The estimation accuracy is only about 0.02%. Next, the method in () is an estimation method based on the assumption that [P] in molten steel depends only on the blowing time, and is an effective method if there are no changes in the steel type or operating conditions. It cannot be applied when the phosphorus concentration varies with each charge, and it can only be used to estimate the phosphorus concentration. The method in parentheses can be used to estimate the concentrations of Mn, P, and S, but the estimation accuracy for each element is σ (Mn) =
0.0149%, σ(P) = 0.00177%, σ(S) = 0.00151
%, and it has the disadvantage that it cannot be safely applied to steel types with strict composition standards or steel types that are subject to severe dephosphorization conditions in converters. Finally, the method () is particularly useful in low carbon regions, and the accuracy of estimating C concentration is σ =
It is good at 0.0073%, but when looking at other components, σ (Mn) = 0.0165%, σ (P) = 0.00294%, σ
(S) is only about 0.00102%, and the scope of application is narrow as in the case of (). As mentioned above, there is no known technology that can estimate the Mn, P, and S concentrations with high precision in the high-carbon and low-carbon regions, especially at the time of blow-off, and rapid tapping operations are adopted in the converter refining method. The ratio is still low. The present invention has been made in consideration of the above-mentioned circumstances, and has been made by establishing a technology that can estimate with high precision the concentrations of Mn, P, and S at the end of blowing in converter furnace blowing. The purpose is to contribute to improving the rapid steel extraction ratio. [Means for solving the problem] The present invention that achieves the above object is as follows:
A sample of molten steel was collected during converter blowing, and Mn, P
and S, the concentration [M] B of at least one component in the molten steel during blowing is measured,
In the method of estimating the concentration [M] S of the relevant component in the blow-off molten steel using the results, (1) the amount of auxiliary raw materials, (2) the amount of blowing oxygen used from the time of collecting the molten steel sample until the blow-off, (3) ) Residual oxygen amount in slag calculated from oxygen balance, (4) Oxygen partial pressure in molten steel measured at the end of blowing, (5) Temperature of molten steel at the end of blowing (6) Carbon concentration at the end of blowing (7) Select at least one or more items from a group of operational items consisting of hot metal conditions, and add the factors related to the selected items to the concentration in the molten steel during blowing [M] B to form the following regression formula [M ] S = [M] B + ΣαXi + constant ... [] In the formula [M] S : Concentration in molten steel at the end of blowing [M] B : Concentration in molten steel during blowing α: Coefficient Xi: (1) to (7) above The gist of the present invention is to estimate the concentration of the relevant component in blow-out molten steel based on factors related to one or more items selected from a group of operational items. [Function] Regarding the reactions of Mn, P, and S in the steel bath during oxygen blowing, the following reactions can be considered. [Mn] + (FeO) = (MnO) + Fe 2 [P] + 4 (caO') + 5 (FeO) = (CaO') 4・P 2 O 5 + 5Fe (CaO) + [FeS] = (CaS) + ( FeO) [S] + 2[O] = SO 2 (gas) Therefore, the controlling factor for the concentration of Mn, P, and S in the steel bath at the time of blow-off is the hot metal condition (amount and composition of hot metal - especially Mn, P, S concentration), the amount of slag, and the distribution relationship of each component between molten steel and slag. Among these, a more detailed analysis of the distribution relationship between molten steel and slag reveals that the slag composition (especially the CaO concentration and
SiO 2 concentration), oxygen partial pressure in the system (specifically, FeO concentration in slag, oxygen partial pressure in molten steel), molten steel temperature and carbon concentration at the time of blow-off are important controlling factors. Therefore, the present inventors base their estimation on the Mn, P, and S concentration information in molten steel obtained from molten steel sampled during blowing, and in addition to these, (1) the amount of auxiliary raw materials, (2) Amount of blowing oxygen after the above-mentioned intermediate sampling (3) Amount of residual oxygen in the slag at the end of blowing (4) Partial pressure of oxygen in the molten steel at the end of blowing (5) Temperature of molten steel at the end of blowing (6) At the end of blowing Carbon concentration (7) Considering how the concentration in molten steel changes until blow-off using the above formula (5), which was statistically created by combining one or more factors selected from the hot metal conditions. put in,
We decided to estimate the final concentration in molten steel at the time of blow-out. In order to perform more accurate estimation, it is recommended to add all of the above seven items as factors. Targeting sampled molten steel during blowing
Although the method for measuring the Mn, P, and S concentrations is not limited, the cantback analysis method (for example, pulse analysis measurement method using a vacuum type issuance analyzer) is recommended as an effective means. Item (1) above is an item designed at the start of blowing, and item (2) is an item that can be easily grasped as blowing results, so information regarding these two items will be It can be obtained without any particular difficulty. Next, item (3) can be calculated using the following formula. ΔO S =∫ t t1 {(Input oxygen - Output oxygen)} dt However, t 1 : The period of sampling during the above Input oxygen: Calculated from the amount of blowing oxygen and the amount of oxygen in the auxiliary material Output oxygen: The amount of oxygen in the exhaust gas The calculation method for residual oxygen in slag is not limited to the above formula, but when calculating using the above formula, it is not affected by the amount of oxygen contained in the residual slag from the previous charge, and the calculation period is short. Therefore, the sensor error is reduced, and it is used as a highly accurate blowing control parameter. Regarding item (4), a sublance is applied at the time of blow-off, and the oxygen partial pressure (hereinafter referred to as [O] F ) in the molten steel is measured using an appropriate oxygen sensor. Although the present invention is not limited to the mechanism of the oxygen sensor, if a method is adopted in which an oxygen concentration battery is attached to the tip of the supplement, measurements can be made by immersing it in molten steel. Compared to a method in which various measurements are made using the method, significant time savings can be achieved. Item (5), the temperature of molten steel at the time of blow-off, can be easily measured using a sublance, or in some cases, the value estimated using a known method for converter dynamic control may be used. It can also be adopted as is. The carbon concentration at the end of blowing, which is item (6), can be determined by estimating the carbon concentration based on the solidification temperature of a sample of molten steel collected using a supplement, or by using the aforementioned dynamic control method. Examples of estimation methods and the like are given. As for hot metal conditions, item (7), the amount of hot metal, which is the main raw material for blowing, and the concentrations of Mn, P, and S in the hot metal are selected from the initial data and used. The most important of measurement items (1) to (7) in the present invention is the oxygen partial pressure in molten steel [O] F described in (4).
However, when the present inventors were previously researching a technology to estimate the Mn, P, and S concentrations in blow-blown molten steel based on [O] F , they found that in the low carbon region, the calculated values and the measured values were different. Although a correlation was found between
In the high carbon region, the slag becomes overoxidized, resulting in a non-equilibrium state between the slag and the molten steel, and the calculated values and actual measurements do not match at all, making it impossible to estimate using [O] F in the high carbon region. In contrast, in the present invention, samples are taken during blowing, the Mn, P, and S concentrations in the molten steel are quickly analyzed, and the factors (1) to (6), excluding (4) above, are added to the data to determine the end of blowing. By estimating the Mn, P, and S concentrations at the same time, the estimation accuracy was extremely high. [Example] Fig. 1 is a flowchart of an example of estimating components by the method of the present invention. , Mn, P, and S are sampled from the molten steel and subjected to cantback analysis. On the other hand, the sub-lance is also immersed at the time of blow-off, and the molten steel temperature and [O] F are measured and input into the CPU along with the above-mentioned cantback analysis results, where calculations are quickly performed, compared with the target components, and the steel is tapped. Determine whether or not it is possible. And if it fails, it will be re-blown. In addition, since the present invention does not control the end of blowing itself by cantback analysis of the sample, the end of blowing is carried out as planned, and the Mn, P, and S concentrations at that time are not determined by direct concentration analysis. Both are methods that can be estimated quickly and with high accuracy. Example 1 Using a 240-ton vertical blowing converter, blowing was planned for the purpose of obtaining high carbon steel having the composition specifications shown in Table 1. First, 250 tons of hot metal pretreated with the components shown in Table 2 were charged into a converter. Blowing began, and 3 tons of quicklime, 2 tons of lightly calcined dolomite, and 0.9 tons of fluorite were charged. Thirteen minutes after the start of blowing, a molten steel sample was collected using a sublance and analyzed for Mn, P, and S.
The blowing process ended 2.5 minutes after the sample was collected.
Molten steel temperature was measured using a sublance. In this charge, the sample analysis value, the amount of quicklime, light calcined dolomite, and fluorite input, and the amount of input oxygen at the end of the blow from the time of sample collection (blowing oxygen,
entrained air) and output oxygen amount (CO,
Based on the residual oxygen amount of 412Nm 3 calculated from the difference in CO 2 ) and the molten steel temperature of 1680℃ measured at the blowstop,
When Mn, P, and S of the blowhole were estimated using equation (5), the values shown in Table 3 were obtained. Since P and S satisfied the composition specifications in Table 2, tapping started immediately, and Mn
For this, Mn alloy iron was added to meet the standard composition. Note that C was estimated using the conventional method (). We also collected molten steel samples when measuring the molten steel temperature using a sub-lance at the blowstop, and analyzed them separately, and the values shown in Table 4 were confirmed, confirming that estimation by this method is highly accurate even for high carbon steel. did.

【表】【table】

【表】【table】

【表】【table】

【表】 実施例 2 240トン上下吹転炉を用いて高炭素高を溶製す
るに当たり、サブランスを用いて吹錬途中に溶鋼
サンプルを採取し、カントバツク分析によつて溶
鋼中のMn,P,S濃度を測定した。一方当該チ
ヤージに投入されている副原料(生石灰、蛍石、
ドロマイト)の量、サンプル採取時点から吹止ま
での吹錬酸素使用量、酸素バランスから計算した
スラグ中の残留酸素量および溶鋼温度を要因とし
て加え、統計的に求めた前記(5)式を用いて吹止時
のP濃度を求めて推定値とした。第2図は推定値
と実測値の相関性を示すグラフでσ=0.00151%
の高精度で推定することができた。 実施例 3 240トン転炉を用い、第5表に示す成分規格の
低炭素鋼を目的として溶製した。まず転炉にスク
ラツプ25トン、続いて第6表の成分の溶銑を225
トン装入した。吹錬を開始し、生石灰9トン、軽
焼ドロマイト4トン、蛍石0.8トンを装入した。
吹錬開始後12分目にサブランスで溶鋼サンプルを
採取・回収し、Mn,P,Sを分析した。吹錬は
サンプル採取時点から2.5分後に終了し、その際、
サブランスを用いて溶鋼温度および[O]Fを測定
した。ここで、当該サンプル分析値、投入した生
石灰、軽焼ドロマイト、蛍石の量、サンプル採取
時点から吹止までの吹錬酸素使用量2000Nm3、吹
止で測定した溶鋼温度1660℃ならびに[O]F
750ppmを要因として(5)式を用いて吹止のMn,
P,Sを推定したところ、第7表の値が得られ
た。P,Sは第1表の成分規格を満足していたの
でただちに出鋼を開始し、Mnについては規格の
成分に達するようMn合金鉄を投入した。なお、
Cについては従来法()で推定した。また、吹
止でサブランスを用いて溶鋼温度および[O]F
測定する際に溶鋼サンプル採取も行なつておき、
別途分析したところ第8表の値であり、本法によ
る推定は高炭素鋼においても高い精度であること
を確認した。
[Table] Example 2 When melting high-carbon steel using a 240-ton vertical blowing converter, a sample of molten steel was collected during blowing using a sublance, and the Mn, P, and The S concentration was measured. On the other hand, the auxiliary materials (quicklime, fluorite,
Dolomite), the amount of oxygen used in blowing from the time of sample collection to the end of the blowing process, the amount of residual oxygen in the slag calculated from the oxygen balance, and the temperature of molten steel, were added as factors, and the statistically calculated equation (5) was used. The P concentration at the end of blowing was determined and used as the estimated value. Figure 2 is a graph showing the correlation between estimated values and actual values, σ = 0.00151%
It was possible to estimate with high accuracy. Example 3 A 240-ton converter was used to produce low carbon steel having the composition specifications shown in Table 5. First, 25 tons of scrap was added to the converter, and then 225 tons of hot metal with the composition shown in Table 6 was added to the converter.
A ton was charged. Blowing began, and 9 tons of quicklime, 4 tons of lightly calcined dolomite, and 0.8 tons of fluorite were charged.
Twelve minutes after the start of blowing, a molten steel sample was collected using a sublance and analyzed for Mn, P, and S. The blowing process ended 2.5 minutes after the sample was taken;
Molten steel temperature and [O] F were measured using a sublance. Here, the analysis value of the sample, the amount of quicklime, light calcined dolomite, and fluorite added, the amount of blowing oxygen used from the time of sample collection to the blowstop of 2000Nm3 , the molten steel temperature measured at the blowstop of 1660℃, and [O] F
Using equation (5) with 750ppm as a factor, the Mn of the blowhole,
When P and S were estimated, the values shown in Table 7 were obtained. Since P and S met the composition specifications in Table 1, tapping began immediately, and Mn alloy iron was added to meet the specifications for Mn. In addition,
C was estimated using the conventional method (). In addition, when measuring the molten steel temperature and [O] F using a sub-lance at the blowstop, take a sample of the molten steel.
Separate analysis revealed the values shown in Table 8, confirming that estimation by this method is highly accurate even for high carbon steel.

【表】【table】

【表】【table】

【表】【table】

【表】 実施例 4 240トン上下吹転炉を用い、C≦0.30%の低炭
素鋼を溶製するに当たり、サブランスを用いて吹
錬途中に溶鋼サンプルを採取し、カントバツク分
析によつて溶鋼中のMn,P,S濃度を測定し
た。一方当該チヤージに投入されている副原料
(生石灰、蛍石、ドロマイト)の量、サンプル採
取時点から吹止までの吹錬酸素使用量並びに吹止
時にサブランスを用いて測定した溶鋼温度及びC
濃度を要因として加え、統計的に求めた前記(5)式
を用いて吹止時のMn,P濃度を求めて推定値と
した。第3図はMnについての推定値と実測値の
相関性を示すグラフであり、σ=0.0093%の高精
度で優れた相関性が認められた。第4図はPにつ
いての同様のグラフであり、σ=0.00145%の高
精度で優れた相関性を認めることができた。 第9表は[O]Fに基づいて同様の推定を行なつ
た場合と本発明の場合について、夫々低炭素鋼の
場合の推定精度を比較したものであり、本発明の
方がすぐれた推定精度を示すことが分かる。
[Table] Example 4 When melting low carbon steel with C≦0.30% using a 240-ton vertical blowing converter, a sample of molten steel was collected during blowing using a sublance, and the molten steel was analyzed by cantback analysis. The Mn, P, and S concentrations were measured. On the other hand, the amount of auxiliary raw materials (quicklime, fluorite, dolomite) put into the charge, the amount of blowing oxygen used from the time of sample collection to the end of blowing, and the temperature and temperature of molten steel measured using a sublance at the end of blowing.
Adding the concentration as a factor, the Mn and P concentrations at the end of blowing were determined using the statistically determined equation (5) and used as estimated values. FIG. 3 is a graph showing the correlation between the estimated value and the measured value for Mn, and an excellent correlation with high accuracy of σ = 0.0093% was observed. FIG. 4 is a similar graph for P, and an excellent correlation with a high accuracy of σ=0.00145% could be recognized. Table 9 compares the estimation accuracy in the case of low carbon steel when similar estimation is made based on [O] F and the case of the present invention, and the estimation accuracy of the present invention is superior. It can be seen that this shows accuracy.

【表】 [発明の効果] 本発明は上記の様に構成されているので、吹止
溶鋼中のMn,P,S濃度を、直接分析するに必
要な時間をかけないで短時間に推定することがで
き、またその推定精度は低炭素鋼、高炭素鋼の如
何を問わず高い。従つて低燐鋼の様に成分規格の
厳格な鋼種であつても迅速出鋼システム中に組入
れることが可能となり、迅速出鋼の採用比率を高
めることに資することができた。
[Table] [Effects of the Invention] Since the present invention is configured as described above, the Mn, P, and S concentrations in blow-finished molten steel can be estimated in a short time without taking the time required for direct analysis. The estimation accuracy is high regardless of whether the steel is low carbon steel or high carbon steel. Therefore, even steel types with strict composition standards, such as low-phosphorus steel, can be incorporated into the rapid tapping system, contributing to increasing the rate of adoption of rapid tapping.

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

第1図は本発明の実施例に係る推定手順を示す
フロー図、第2図は高炭素鋼におけるP濃度につ
いての推定値と実測値の関係を示すグラフ、第3
図は低炭素鋼におけるMn濃度についての推定値
と実測値の関係を示すグラフ、第4図は低炭素鋼
におけるP濃度についての推定値と実測値の関係
を示すグラフである。
FIG. 1 is a flowchart showing the estimation procedure according to the embodiment of the present invention, FIG. 2 is a graph showing the relationship between the estimated value and the measured value of P concentration in high carbon steel, and FIG.
The figure is a graph showing the relationship between the estimated value and the measured value of the Mn concentration in low carbon steel, and FIG. 4 is the graph showing the relationship between the estimated value and the measured value of the P concentration in the low carbon steel.

Claims (1)

【特許請求の範囲】 1 転炉吹錬途中に溶鋼サンプルを採取し、
Mn,PおよびSのうち少なくとも1種以上の成
分について吹錬途中における溶鋼中濃度[M]B
測定し、その結果を用いて当該成分の吹止溶鋼中
濃度[M]Sを推定する方法において、 (1) 副原料の量、 (2) 溶鋼サンプル採取時点から吹止迄の吹錬酸素
使用量、 (3) 酸素バランスから計算されるスラグ中残留酸
素量、 (4) 吹止時に測定される溶鋼中の酸素分圧、 (5) 吹止時の溶鋼温度 (6) 吹止時の炭素濃度 (7) 溶銑条件 よりなる操業項目群の中から少なくとも1以上の
項目を選び、当該選ばれた項目に係る要因を前記
吹錬途中における溶鋼中濃度[M]Bに加えて構成
される下記回帰式 [M]S=[M]B+ΣαXi+定数 ……[] 式中 [M]S:吹止溶鋼中濃度 [M]B:吹錬途中における溶鋼中濃度 α:係数 Xi:前記(1)〜(7)よりなる操業項目群の中から
選ばれる1以上の項目に係る要因 に基づいて当該成分の吹止溶鋼中濃度を推定する
ことを特徴とする転炉吹止成分推定方法。
[Claims] 1. Collecting a molten steel sample during converter blowing,
A method of measuring the concentration [M] B of at least one component among Mn, P, and S in molten steel during blowing, and using the results to estimate the concentration [M] S of the component in molten steel at the end of blowing. (1) Amount of auxiliary raw materials, (2) Amount of blowing oxygen used from the time of molten steel sample collection to the end of blowing, (3) Amount of residual oxygen in the slag calculated from the oxygen balance, (4) Measured at the end of blowing. (5) Temperature of molten steel at end of blow, (6) Carbon concentration at end of blow, (7) Select at least one item from the group of operation items consisting of hot metal conditions, and The following regression formula is constructed by adding the factors related to the items to the concentration in the molten steel during blowing [M] B [M] S = [M] B + ΣαXi + constant ...[] In the formula, [M] S : Concentration in molten steel at the end of blowing [M] B : Concentration in molten steel during blowing α: Coefficient Xi: Based on factors related to one or more items selected from the operation item group consisting of (1) to (7) above A method for estimating a component at the end of a converter, comprising estimating the concentration of the component in the end of molten steel.
JP23196789A 1988-09-07 1989-09-07 Method for predicting components at blow-end in converter Granted JPH02170909A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP23196789A JPH02170909A (en) 1988-09-07 1989-09-07 Method for predicting components at blow-end in converter

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
JP22508888 1988-09-07
JP63-225089 1988-09-07
JP63-225088 1988-09-07
JP23196789A JPH02170909A (en) 1988-09-07 1989-09-07 Method for predicting components at blow-end in converter

Publications (2)

Publication Number Publication Date
JPH02170909A JPH02170909A (en) 1990-07-02
JPH0442451B2 true JPH0442451B2 (en) 1992-07-13

Family

ID=26526431

Family Applications (1)

Application Number Title Priority Date Filing Date
JP23196789A Granted JPH02170909A (en) 1988-09-07 1989-09-07 Method for predicting components at blow-end in converter

Country Status (1)

Country Link
JP (1) JPH02170909A (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5582105B2 (en) * 2011-07-15 2014-09-03 新日鐵住金株式会社 Converter blowing control method

Also Published As

Publication number Publication date
JPH02170909A (en) 1990-07-02

Similar Documents

Publication Publication Date Title
US3329495A (en) Process for measuring the value of carbon content of a steel bath in an oxygen top-blowing converter
US11966669B2 (en) Molten metal component estimation device, method of estimating molten metal component, and method of manufacturing molten metal
JPH0442451B2 (en)
KR20040014599A (en) Method for decarbonization refining of chromium-containing molten steel
JPH0257666B2 (en)
KR102534954B1 (en) Blowing control method and blowing control device of converter type dephosphorization refining furnace
JP4816513B2 (en) Molten steel component estimation method
JPH0675037B2 (en) Method for detecting molten iron component and refining method based thereon
JPS5792121A (en) Method for estimation of phosphorus concentration of steel bath
JPS6112811A (en) Converter steelmaking method
JP2004076081A (en) Estimation method of Mn concentration at blowing end point in converter
JPH07118723A (en) Converter refining method
JPS6318015A (en) Method for estimating manganese concentration in converter blowing
JPH03180418A (en) Molten steel carbon control method in converter
JPH05156339A (en) Method for assuming carbon concentration in molten steel in converter refining
JP3471406B2 (en) Method for reducing and recovering valuable metals in slag with improved accuracy of molten steel components
JPH08325626A (en) Method for reducing and recovering valuable metal in slag improved in hit accuracy of molten steel component
JPS62165145A (en) Quick measuring method for carbon weight % concentration in molten iron
JPH02159314A (en) Method for estimating component at the time of stopping converter blowing
JPH036312A (en) Method for controlling blowing in converter
JPH06148167A (en) Oxygen quantitative analyzing method for easily reductive metal oxide contained in steel slug
JPS6155565B2 (en)
JPH08319507A (en) Hot metal pretreatment method
JPH0649889B2 (en) Hot metal dephosphorization method
JPS63203716A (en) Method for controlling refining of molten iron