Optimized control method of roll technological parameter for cold band-steel continuous rolling mill

Abstract

The present invention provides an optimizing control method of technical parameter of roll of cold strip steel continuous rolling mill. It utilizes the comprehensive consideration of slippage and hot scuff mark prevention and influence of other factors on parameter to set reasonable initial roughness of roll changing period so as to optimize control process of rolling process. On the computer system it includes the following steps: (1) setting objective friction coefficient of every stand; (2) making optimum computation of initial roughness of working roll of every stand and roll changing period; and (3). using the above-mentioned optimum compulative result as correspondent set value.

Description

technical field

[0001] The invention relates to the field of production and control of metallurgical processes, in particular to an optimization control method for roll process parameters of a cold-strip continuous rolling mill. Background technique

[0002] figure 1 It is a schematic diagram of the cold strip continuous rolling process. Such as figure 1 As shown, the strip 1 is uncoiled from the uncoiler 2 and sent to racks 1#~i#. After being rolled by multiple racks, the strip reaches a specified thickness and is sent to the coiler 3 for rewinding. The rolls of each stand include backup rolls 4 and work rolls 5, wherein the work rolls are in direct contact with the strip surface.

[0003] The technical parameters of the rolling process generally include parameters such as rolling speed, front and rear tension, reduction, initial roughness of the roll (that is, the roughness of the roll just after replacement) and roll replacement cycle (hereinafter referred to as the ro...

Examples

no. 1 example

[0067] In this example, it is assumed that the entire rolling process involves 5 stands, and the rolling schedule has been determined, so the friction coefficient μ of each stand in the following optimization process 3i is a given constant. In addition, it is also assumed that the initial roughness R of each rack work roll ai and roll changing cycle L i Coefficient of friction with frame μ i The mathematical relationship between has the following form:

[0068] μ i = a 1 i × ( R ai ) b 1 i + a 2 i × ( 1 - e - ...

no. 2 example

[0079] In actual production, a continuous rolling mill often has to roll products of multiple specifications, so it is often required to optimize the initial roughness of work rolls and roll change cycle suitable for the production of multi-standard products or steel grades for the continuous rolling mill. In this embodiment, it is assumed that the number of steel types involved is n, the entire rolling process includes m stands, and the rolling schedule has been determined, so the friction coefficient of each stand in the following optimization process is given constant. In addition, it is also assumed that under any steel grade, the initial roughness R of each rack work roll aij and roll changing cycle L ij Coefficient of friction with frame μ ij The mathematical relationship between has the following form:

[0080] μ ij = a 1 ij × ...

technical field

[0001] The invention relates to the field of production and control of metallurgical processes, in particular to an optimization control method for roll process parameters of a cold-strip continuous rolling mill. Background technique

[0002] figure 1 It is a schematic diagram of the cold strip continuous rolling process. Such as figure 1 As shown, the strip 1 is uncoiled from the uncoiler 2 and sent to racks 1#~i#. After being rolled by multiple racks, the strip reaches a specified thickness and is sent to the coiler 3 for rewinding. The rolls of each stand include backup rolls 4 and work rolls 5, wherein the work rolls are in direct contact with the strip surface.

[0003] The technical parameters of the rolling process generally include parameters such as rolling speed, front and rear tension, reduction, initial roughness of the roll (that is, the roughness of the roll just after replacement) and roll replacement cycle (hereinafter referred to as the ro...

Examples

no. 1 example

[0067] In this example, it is assumed that the entire rolling process involves 5 stands, and the rolling schedule has been determined, so the friction coefficient μ of each stand in the following optimization process 3i is a given constant. In addition, it is also assumed that the initial roughness R of each rack work roll ai and roll changing cycle L i Coefficient of friction with frame μ i The mathematical relationship between has the following form:

[0068] μ i = a 1 i × ( R ai ) b 1 i + a 2 i × ( 1 - e - ...

no. 2 example

[0079] In actual production, a continuous rolling mill often has to roll products of multiple specifications, so it is often required to optimize the initial roughness of work rolls and roll change cycle suitable for the production of multi-standard products or steel grades for the continuous rolling mill. In this embodiment, it is assumed that the number of steel types involved is n, the entire rolling process includes m stands, and the rolling schedule has been determined, so the friction coefficient of each stand in the following optimization process is given constant. In addition, it is also assumed that under any steel grade, the initial roughness R of each rack work roll aij and roll changing cycle L ij Coefficient of friction with frame μ ij The mathematical relationship between has the following form:

[0080] μ ij = a 1 ij × ...

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