Method for improving precision of preset model in multi-variety rolling mode

A model precision and pre-set technology, applied in the direction of metal rolling, metal rolling, rolling mill control devices, etc., can solve problems such as unfavorable continuous production, affecting production efficiency, complicated operation, etc., and achieve the effect of meeting the customized needs of users

Active Publication Date: 2019-01-25
北京科技大学设计研究院有限公司
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Problems solved by technology

Invention patent "A Method of Improving the Calculation Accuracy of Rolling Force" (Application No. 201010209247.6) uses the operation of the upper hydraulic cylinder to obtain the measured rolling force and roll bending force, and compensates the calculated rolling force to improve the rolling force. Force calculation accuracy, but the actual operation of this method is more complicated. When multiple varieties are rolled, frequent experiments are required, which is not conducive to continuous production and affects production efficiency.

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  • Method for improving precision of preset model in multi-variety rolling mode
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  • Method for improving precision of preset model in multi-variety rolling mode

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Embodiment Construction

[0046] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0047] The invention provides a method for improving the accuracy of the preset model in the multi-variety rolling mode, such as figure 1 As shown, the general flow of the method is as follows:

[0048] (1) Collect the rolling process data of the production line, determine the setting data, that is, set the rolling force

[0049]

[0050] Among them, rfC i is the neural network correction coefficient corresponding to the steel type, is the actual rolling speed, is the actual rack inlet thickness, is the actual rack outlet thickness, is the actual rack inlet tensile stress, is the tensile stress at the outlet of the actual rack, kf is the deformation resistance, u is the friction coefficient, Rd is the roll data, and i is the rack number; ...

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Abstract

The invention provides a method for improving the precision of a preset model in a multi-variety rolling mode, and belongs to the technical field of rolling control. The method is used for rolling newvarieties in a production line, when an original neural network algorithm cannot meet the demand for improvement in the precision of the preset model of new steel varieties, through data statistic analysis, compensation is conducted on the neural network algorithm, a new correction coefficient is calculated and put into usage on site, the precision of the preset model is improved, and correctioncoefficients are calculated according to the steel varieties and specifications on the basis. In this way, the precision of the preset model is improved further, a layer table is designed, the correction coefficients are maintained into a database sheet, and on-site maintenance and operation are easier.

Description

technical field [0001] The invention relates to the technical field of rolling process control of continuous cold rolling, in particular to a method for improving the precision of a preset model in a multi-variety rolling mode. Background technique [0002] In tandem cold rolling process control, pre-set model calculation is one of the basic conditions for high-precision rolling, and also the basis for on-line control. Only accurate pre-set model calculations can apply optimized process ideas to on-site rolling in process. The rolling process is a typical multi-variable, time-varying, strongly coupled and nonlinear process. The complexity of the rolling process determines that the mathematical models of the rolling process are mostly assumed and simplified models, which cannot accurately reflect the rolling process. , therefore, after the calculation of the preset model is completed, the adaptive calculation model will be introduced to further correct the preset model and i...

Claims

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Application Information

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IPC IPC(8): B21B37/00
CPCB21B37/00
Inventor 陈丹邵健何安瑞王晓晨
Owner 北京科技大学设计研究院有限公司
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