Computer model control method for thickness of hot-rolled product

Abstract

The invention discloses a computer model control method for the thickness of a hot-rolled product. The method is a method for conducting classified reading and storing on the rough rolling broadeningstudy value according to the steel ball, the product thickness, a rough rolling machine, the width rolling reduction and the inlet thickness. Compared with the prior art, the computer model control method has the beneficial effects that the rough rolling broadening study value is classified according to the steel ball, the product thickness, the rough rolling machine, the width rolling reduction and the inlet thickness, the relevance between various factors and the width variation in the classifying method is obvious and is not affected by the rough rolling pass combination manner and the product thickness, the rough rolling broadening study value fluctuation range is obviously reduced, the method is suitable for production of products with various incoming material plate slab thicknesses,the product width control precision can be effectively improved, and therefore the generated waste product cutting-off rate and cost losses are reduced.

Description

technical field [0001] The invention relates to the field of automatic control of steel rolling, in particular to a computer model control method for the width of hot-rolled products. Background technique [0002] With the demand for product development, specification expansion and production plan arrangement of the hot rolling production line, the output of 200mm thick slabs on the 1780 line of a hot rolling strip mill continues to increase. The model has no special countermeasures for incoming slabs of different thicknesses, which leads to a decrease in width quality accuracy, width blockade, and a sharp increase in the amount of scrap, which brings huge losses to the cost of the enterprise. [0003] At present, the main factor affecting the control accuracy of product width is that the thickness of incoming slabs of the same steel type and product of the same specification is different. Generally, 230mm thick slabs are reciprocated in 3 passes in each of the two rough rol...

AI Technical Summary

Problems solved by technology

Due to the difference in the thickness of the incoming slab and the combination of rolling passes, the key data such as the reduction amount, the thickness of the entrance and exit, etc. will change during the same pass of the same roughing mill, and the actual width change will inevitably vary. However, the self-learning value of the current rough rolling widening computer control model is classified according to steel type, product thickness, product width, roughing mill and each roughing mill pass without the factor of incoming material thickness change, so in the future When the thickness of the slab changes, the rough rolling width self-learning value will fluctuate greatly, and the fluctuation indicates that there is a large deviation between the actual width of the rough rolling exit and the target value width, which will directly affect the product width accuracy

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