Method And Device For Controlling An Installation For Producing Steel

• US 20070088524A1
• Filed: 07/26/2004
• Published: 04/19/2007
• Est. Priority Date: 08/27/2003
• Status: Active Grant

• Current Assignee: Primetals Technologies Germany GmbH (Siemens AG)
• Original Assignee: Siemens AG
• Inventors: Bürvenich, Hans-Peter
• Granted Patent: US 8,150,544 B2
• Time in Patent Office: Days
• US Class Current: 702/130
• CPC Class Codes: G05B 13/021 in which a variable is automatically adjusted to optimise the performance

Abstract

In a method for controlling an installation for producing steel having specific material properties, the material properties depend on the structure and can be influenced by operating parameters of the installation. The operating parameters are determined by a computing program for structure optimization, whereby the set values of the chemical composition of the steel are simultaneously determined by the computing program for structure optimization.

Claims

1. A method for controlling an installation for the production of steel which has defined materials properties that are dependent on the microstructure and can be influenced by operating parameters of the installation, the method comprising the step of defining operating parameters by means of a computation program for microstructure optimization, wherein at the same time the setpoint values for the chemical composition of the steel are defined by means of the computation program for microstructure optimization.

2. A method according to claim 1, wherein the setpoint values for the chemical composition and if appropriate correspondingly calculated operating parameters for a defined steel application are in each case combined in a data record.

3. A method according to claim 2, wherein the computation program for microstructure optimization, during production planning, selects an optimum combination of data records for the respective steel application of the orders to be planned.

4. A method according to claim 1, wherein the actual values for the chemical composition of the steel and the actual values for the operating parameters are compared with the setpoint values, and if deviations are present the computation program for microstructure optimization is run through again.

5. A method according to claim 4, wherein a setpoint value is assigned a tolerance range, which lies between an upper limit and a lower limit, and the computation program for microstructure optimization is run through again in order to define setpoint values for the chemical composition of the steel and/or for the operating parameters in the event of values which lie outside the tolerance range.

6. A method according to claim 1, wherein the computation program for microstructure optimization defines the setpoint values with the objective of minimizing materials costs and/or production costs.

7. A method according to claim 1, wherein during and/or after a production step, a quality check is carried out by comparing the setpoint values with the actual values by means of the computation program for microstructure optimization.

8. A method according to claim 7, wherein the quality check is carried out in a hot-rolling mill during the linking of slabs to the production order in the slab yard and/or at the exit of a heating furnace and/or at the exit of the roughing stand and/or of the coiler at the end of a production line.

9. A method according to claim 1, wherein the computation program for microstructure optimization checks whether the required materials properties can be achieved with the current setpoint values in subsequent production steps.

10. A method according to claim 9, wherein the computation program adapts the setpoint values if the required materials properties in subsequent production steps cannot be achieved with the current setpoint values.

11. A method according to claim 1, wherein it is coupled to the production planning of the steel production installation.

12. A method according to claim 1, wherein it is coupled to the production control system of the steel production installation.

13. A method according to claim 1, wherein the number of steel grades in a plant is reduced by calculated variations in the operating parameters when defining a steel grade for an order.

14. A method according to claim 1, wherein the tolerance ranges for the chemical elements in steel grades are increased by varying the operating parameters.

15. A device for controlling an installation for producing steel, which has defined materials properties that are dependent on the microstructure and can be influenced by operating parameters of the installation, comprising a computation program for microstructure optimization for defining operating parameters, wherein the computation program for microstructure optimization is also designed to define the setpoint values for the chemical composition of the steel.

16. A system for controlling an installation for the production of steel which has defined materials properties that are dependent on the microstructure and can be influenced by operating parameters of the installation, comprising microstructure optimization means for defining operating parameters, wherein at the same time the setpoint values for the chemical composition of the steel are defined by said microstructure optimization means.

17. A system according to claim 16, wherein the setpoint values for the chemical composition and if appropriate correspondingly calculated operating parameters for a defined steel application are in each case combined in a data record.

18. A system according to claim 17, wherein the microstructure optimization means are designed such that, during production planning, the microstructure optimization means select an optimum combination of data records for the respective steel application of the orders to be planned.

19. A system according to claim 18, wherein the microstructure optimization means are designed to define the setpoint values with the objective of minimizing materials costs and/or production costs.

20. A system according to claim 16, further comprising means for performing a quality check by comparing the setpoint values with the actual values by means of the computation program for microstructure optimization.