Optimization method of rolling schedule of non-reversible aluminum strip cold rolling mill

Abstract

The invention relates to an optimization method of the rolling schedule of a non-reversible aluminum strip cold rolling mill, which comprises the following steps: (1) collecting the equipment parameters and the technological conditions of the aluminum strip cold rolling mill; (2) determining the specification of strips and the requirements on finished products; (3) collecting the related parameters of the actual using schedule; (4) determining the optimization targets; (5) carrying out discretization and initialization on the thickness of an outlet; (6) calling an optimization and calculationsubprogram according to the annealing stage; and (7) completing the optimization calculation of the schedule. The optimization method takes full consideration of the reasonableness and the availability of the schedule after optimization and takes the actual application schedule as the optimization basis; the optimization method proposes the new target form of three optimization targets of load balance, minimum energy consumption and good strip shape; and the optimization method takes the consideration of the static constrains and the dynamic constraints in actual rolling during the optimization process, thereby improving the dynamic optimization algorithm, reducing the calculation amount and realizing the fast calculation. The optimization method fully plays the production capacity of therolling mill, thereby ensuring the reasonable use of equipment, leading the strip shape of the products to be good, reducing the energy consumption and being applicable to the online use.

Description

technical field [0001] The invention relates to a cold-rolling method for aluminum strips, in particular to an optimization method for an irreversible cold-rolling mill for aluminum strips. Background technique [0002] With the development of computer control technology, the automation level of aluminum plate and strip rolling mill is getting higher and higher, and the rolling schedule can not meet the production needs by empirical methods. Although the empirical method is feasible, it is not optimal, and has the disadvantages of poor shape of the rolled strip and high energy consumption. [0003] Therefore, for the cold rolling of irreversible aluminum strips, determining the optimal rolling schedule has very important practical significance for actual production. By optimizing the rolling procedure, we can get rid of the shortcomings of empirical methods, give full play to the production capacity of the rolling mill, ensure the rational use of equipment, and make the pro...

AI Technical Summary

Problems solved by technology

[0006] In the existing technology, the main problems are: the optimization of the rolling schedule deviates from the empirical procedures used in practice; the constraints of the rolling mill itself are considered a lot, but the constraints of the process conditions are not considered enough

However, in the optimization algorithm of rolling schedule, it is generally difficult to meet the requirements of online application time, and only offline schedule optimization calculation can be performed.

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