基于大数据挖掘的连铸结晶器传热独立变化规律 |
彭治强, 柳前, 郭东伟, 曾子航, 曹江海, 侯自兵 |
Independent Change Law of Mold Heat Transfer in Continuous Casting Based on Big Data Mining |
PENG Zhiqiang, LIU Qian, GUO Dongwei, ZENG Zihang, CAO Jianghai, HOU Zibing |
图2 各连铸参数数据的分位数-分位数(Q-Q)图 |
Fig.2 Quantile-quantile (Q-Q) plots of each continuous casting parameter (a) casting speed (b) immersion depth of nozzle (c) mold level (d) oscillation frequency (e) slab width (f) position of stopper (g) argon blowing flow rate in stopper (Qstopper) (h) argon blowing flow rate in nozzle (Qnozzle) (i) argon blowing flow rate in sliding plate (Qshield) (j) superheat (k) total water flow rate (l) mold taper |
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