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Long and ShortTerm SelfLearning Models of Rolling Force in Rolling Process Without Gaugemeter of Plate

ZHU Fuwen , ZENG Qingliang , HU Xianlei , LI Xian , LIU Xianghua

钢铁研究学报(英文版)

Owing to a lack of gaugemeter and the variety of steel grades and standards in some plate mills, the long and shortterm selflearning models of rolling force based on gauge softmeasuring with high precision were brought up. The softmeasuring method and target value locked method were used in these models to confirm the actual exit gauge of passes, and thick layer division and exponential smoothing method were used to dispose the deformation resistance parameter, which could be calculated from the actual data of the rolling process. The correlative mathematical methods can also be adapted to selflearning with gaugemeter. The models were applied to the process control system of AGC (automatic gauge control) reconstruction on 2 800 mm finishing mill of Anyang steel and favorable effect was obtained.

关键词: plate;selflearning;soft measuring;rolling force

Application of Adaptive Threading Technique to Hot Strip Mill

DING Jingguo , HU Xianlei , JIAO Jingmin , SHE Guangfu , LIU Xianghua

钢铁研究学报(英文版)

Thickness deviation of hot strip rolling needs to be strictly controlled in the computer system. An adaptive threading technique was researched, in which the measured data from threaded stands were used to predict thickness and material hardness errors, to modify the setup for the remaining unthreaded stands. After the adaptive threading model was used online on the hot strip mill of the Panzhihua Iron and Steel Group Co Ltd, the thickness deviation was decreased obviously. The hit rate of thickness control of different steel grades increases.

关键词: hot strip mill;adaptive threading;thickness deviation;stretch equation

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