CA2084396A1 - Method of decarburizing molten metal in the refining of steel using neural networks - Google Patents

Method of decarburizing molten metal in the refining of steel using neural networks

Info

Publication number
CA2084396A1
CA2084396A1 CA2084396A CA2084396A CA2084396A1 CA 2084396 A1 CA2084396 A1 CA 2084396A1 CA 2084396 A CA2084396 A CA 2084396A CA 2084396 A CA2084396 A CA 2084396A CA 2084396 A1 CA2084396 A1 CA 2084396A1
Authority
CA
Canada
Prior art keywords
oxygen
molten metal
refining
steel
neural networks
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.)
Granted
Application number
CA2084396A
Other languages
French (fr)
Other versions
CA2084396C (en
Inventor
Jonathan Jay Feinstein
Richard Benedict Mazzarella
Lanier Stambaugh
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.)
Praxair Technology Inc
Original Assignee
Jonathan Jay Feinstein
Richard Benedict Mazzarella
Lanier Stambaugh
Union Carbide Industrial Gases Technology Corporation
Praxair Technology, Inc.
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 Jonathan Jay Feinstein, Richard Benedict Mazzarella, Lanier Stambaugh, Union Carbide Industrial Gases Technology Corporation, Praxair Technology, Inc. filed Critical Jonathan Jay Feinstein
Publication of CA2084396A1 publication Critical patent/CA2084396A1/en
Application granted granted Critical
Publication of CA2084396C publication Critical patent/CA2084396C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • CCHEMISTRY; METALLURGY
    • C21METALLURGY OF IRON
    • C21CPROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
    • C21C7/00Treating molten ferrous alloys, e.g. steel, not covered by groups C21C1/00 - C21C5/00
    • C21C7/04Removing impurities by adding a treating agent
    • C21C7/068Decarburising
    • C21C7/0685Decarburising of stainless steel
    • CCHEMISTRY; METALLURGY
    • C21METALLURGY OF IRON
    • C21CPROCESSING OF PIG-IRON, e.g. REFINING, MANUFACTURE OF WROUGHT-IRON OR STEEL; TREATMENT IN MOLTEN STATE OF FERROUS ALLOYS
    • C21C5/00Manufacture of carbon-steel, e.g. plain mild steel, medium carbon steel or cast steel or stainless steel
    • C21C5/28Manufacture of steel in the converter
    • C21C5/30Regulating or controlling the blowing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S706/00Data processing: artificial intelligence
    • Y10S706/902Application using ai with detail of the ai system
    • Y10S706/903Control
    • Y10S706/904Manufacturing or machine, e.g. agricultural machinery, machine tool

Abstract

A method of decarburizing molten metal in the refining of steel using neural networks with a first neural network trained to analyze data representative of many process periods of one or more decarburization operations for providing an oxygen count for a preselected gas ratio of oxygen to diluent gas to cause the temperature of the molten metal bath to be decarburized to rise to a specified aim temperature and with a second neural network trained to analyze data representative of many process periods of one or more decarburization operations for providing an output schedule of oxygen counts to be injected into the bath to reduce the carbon level to a predetermined aim level in one or more successive stages corresponding to a preselected schedule of ratios of oxygen to diluent gas.
CA002084396A 1991-12-03 1992-12-02 Method of decarburizing molten metal in the refining of steel using neural networks Expired - Fee Related CA2084396C (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US07/802,046 US5327357A (en) 1991-12-03 1991-12-03 Method of decarburizing molten metal in the refining of steel using neural networks
US07/802,046 1991-12-03

Publications (2)

Publication Number Publication Date
CA2084396A1 true CA2084396A1 (en) 1993-06-04
CA2084396C CA2084396C (en) 1998-07-28

Family

ID=25182697

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002084396A Expired - Fee Related CA2084396C (en) 1991-12-03 1992-12-02 Method of decarburizing molten metal in the refining of steel using neural networks

Country Status (10)

Country Link
US (1) US5327357A (en)
EP (1) EP0545379B1 (en)
KR (1) KR0148273B1 (en)
CN (1) CN1037455C (en)
BR (1) BR9204824A (en)
CA (1) CA2084396C (en)
DE (1) DE69209622T2 (en)
ES (1) ES2085539T3 (en)
MX (1) MX9206989A (en)
ZA (1) ZA929352B (en)

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JP4532106B2 (en) * 2001-07-02 2010-08-25 新日本製鐵株式会社 Method for decarburizing and refining chromium-containing molten steel
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CN103031398B (en) * 2011-09-30 2014-04-02 鞍钢股份有限公司 Converter smelting end point carbon content forecasting device and forecasting method
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CN111985682B (en) * 2020-07-13 2024-03-22 中石化宁波工程有限公司 Furnace temperature prediction method of coal water slurry gasification furnace based on neural network
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CN113343576B (en) * 2021-06-22 2022-03-11 燕山大学 Prediction method of calcium yield in calcium treatment process based on deep neural network
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Also Published As

Publication number Publication date
US5327357A (en) 1994-07-05
CN1037455C (en) 1998-02-18
BR9204824A (en) 1993-06-08
DE69209622D1 (en) 1996-05-09
ES2085539T3 (en) 1996-06-01
EP0545379A1 (en) 1993-06-09
MX9206989A (en) 1994-05-31
CA2084396C (en) 1998-07-28
EP0545379B1 (en) 1996-04-03
DE69209622T2 (en) 1996-10-02
ZA929352B (en) 1993-06-04
KR0148273B1 (en) 1998-11-02
KR930013177A (en) 1993-07-21
CN1074244A (en) 1993-07-14

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