Method for monitoring a steelmaking process and associated computer program

Patent metadata

Field	Value
Publication number	US-2022177986-A1
Application number	US-201917603757-A
Country	US
Kind code	A1
Filing date	Apr 17, 2019
Priority date	Apr 17, 2019
Publication date	Jun 9, 2022
Grant date	—

Abstract

A monitoring method of a steelmaking process in a steelmaking vessel, wherein matters Mn, each having its respective properties PMn, are charged into said steelmaking vessel so as to produce a liquid steel and a slag.

First claim

What is claimed is:

1 - 21 . (canceled)

22 . A method of a steelmaking process in a steelmaking vessel, wherein matters M n , each having respective properties P Mn , are charged into the steelmaking vessel so as to produce a liquid steel and a slag, the method comprising the steps of:
a. defining at least one set of target characteristics TCS Y of the liquid steel to be produced; b. defining at least two slag targets ST X , each of the slag targets ST X comprising values representative of slag properties of the slag, c. calculating, for each slag target ST X , a matter amount AM YX to be charged into the steelmaking vessel allowing to reach the at least one defined set of target characteristics TCS Y , taking into account respective properties of each matter P Mn , the matter amount AM YX comprising the individual amount a YX M n of each matter M n to be charged, and d. selecting the matter amount AM YX .

23 . The method as recited in claim 22 wherein coefficient n is superior or equal to 2.

24 . The method as recited in claim 22 wherein the target characteristics TCS Y of the liquid steel to be produced or the at least two slag targets ST X are defined with a meshing method.

25 . The method as recited in claim 24 wherein the meshing method does not have a constant pitch.

26 . The method as recited in claim 22 wherein the target characteristics TCS Y includes at least a liquid steel temperature at an end of the steelmaking process, a liquid steel composition at the end of the steelmaking process or a liquid steel weight at the end of the steelmaking process.

27 . The method as recited in claim 22 wherein each slag target ST X includes at least a value representative of slag basicity, an iron content in the slag or a manganese oxide content in the slag.

28 . The method as recited in claim 22 wherein the matters M n to be charged are chosen among hot metal, scrap, mineral additions and oxygen.

29 . The method as recited in claim 28 wherein the matters M n to be charged comprise several scrap with different properties.

30 . The method as recited in claim 22 wherein the matters respective properties P Mn are chosen among a scrap type, a scrap density, a matter composition, a matter temperature, a matter maximum weight, a matter minimum weight.

31 . The method as recited in claim 22 wherein the calculating step c is performed with at least one model.

32 . The method as recited in claim 31 wherein the at least one model is selected from the group consisting of a physical model, a statistical model, and a thermodynamic model.

33 . The method as recited in claim 31 wherein the at least one model includes an equation representative of a mass balance and of a thermal balance of the steelmaking process.

34 . The method as recited in claim 22 wherein the method further comprises a step of calculating a constraint function f c (AM YX ) for each calculated matter amount AM YX , a result of the calculating step c being based on the constraint function calculation.

35 . The method as recited in claim 34 wherein the constraint function calculation includes applying a weighing coefficient k n to each individual matter amount a YX M n and summing, for each matter amount AM YX the weighed individual matter amounts a YX M n , the result of the calculation step being then the matter amount AM YX with the lowest calculated constraint function.

36 . The method as recited in claim 35 wherein he weighing coefficient k n is representative of the availability rate of each matter M n .

37 . The method as recited in claim 22 wherein the method further includes a step c″ of calculating a scoring function f s (AM YX ) for each calculated matter amount AM YX and the selection step d is based on the scoring function calculation.

38 . The method as recited in claim 37 wherein said scoring function calculation includes applying a scoring coefficient qi to each calculated matter amount AM YX , the scoring coefficient q i depending on values of the defined target steel characteristics TCS Y and slag target ST X for which the matter amount AM YX has been calculated and the selection step consisting then in selecting the matter amount AM YX with the lowest calculated scoring function.

39 . The method as recited in claim 22 wherein the steelmaking vessel is a converter or a Basic Oxygen Furnace, the steelmaking process comprising at least one step of oxygen blowing within the steelmaking vessel and the calculated matter amount AM YX is the amount of each matter a YX M n to be charged into the steelmaking vessel from the start of the steelmaking process to an end of a single or first blowing step.

40 . The method as recited in claim 22 wherein the steelmaking vessel is an Electric Arc Furnace.

41 . The method as recited in claim 22 wherein the steelmaking vessel is a secondary metallurgy vessel.

42 . A computer program, comprising software instructions which, when executed by a processor, implement the method as recited in claim 22 .

Assignees

• Arcelormittal

Inventors

• Wagner Damien
• Huber Jean-Christophe

Classifications

• C21C2300/06

  Modeling of the process, e.g. for control purposes; CII · CPC title

• C21C5/36 Primary

  Processes yielding slags of special composition · CPC title

• C21C5/54

  Processes yielding slags of special composition · CPC title

• C21C2005/5288

  Measuring or sampling devices · CPC title

• C21C2200/00

  Recycling of waste material · CPC title