本文選題：鋼坯加熱爐　切入點：板坯　出處：《哈爾濱工業(yè)大學(xué)學(xué)報》2017年07期 　論文類型：期刊論文

【摘要】：為解決加熱爐中同時存在多塊狀態(tài)不同的板坯而導(dǎo)致加熱策略不同的問題,針對每個板坯的實時情況,以單個爐區(qū)為研究對象,結(jié)合熵權(quán)法和TOPSIS法的中間過程,提出一種熵權(quán)-TOPSIS法.引入特殊鋼種等級概念,對不同的鋼種進行量化處理,并將其與板坯溫差、當前位置和板坯厚度共同作為評價指標;結(jié)合熵權(quán)法對評價指標差異性的要求和TOPSIS法對樣本方案的加權(quán)方法,把客觀熵權(quán)作為TOPSIS法計算貼近度的權(quán)值,歸一化后得到最終的板坯綜合權(quán)重,利用此權(quán)重對控制段爐溫進行最終設(shè)定.分別數(shù)值模擬了固定數(shù)值模型與熵權(quán)-TOPSIS模型,對比結(jié)果表明:與固定權(quán)值模型相比,使用本模型后,板坯平均溫差下降了5.05℃,最大溫差下降了7.77℃.爐溫平均波動值減小了8.98℃.
[Abstract]:In order to solve the problem of different heating strategies caused by the existence of many different slabs in reheating furnace at the same time, aiming at the real-time situation of each slab, taking a single furnace area as an object of study, the intermediate process of entropy weight method and TOPSIS method is combined. An entropy weight TOPSIS method is proposed. The concept of special steel grade is introduced, and different steel grades are treated quantitatively, and the difference of slab temperature, current position and slab thickness are taken as evaluation indexes. Combined with the requirements of entropy weight method for evaluation index difference and the weight method of TOPSIS method for sample scheme, the objective entropy weight is taken as the weight value of TOPSIS method to calculate the closeness degree, and the final slab comprehensive weight is obtained after normalization. The fixed numerical model and entropy weight TOPSIS model are numerically simulated respectively. The results show that compared with the fixed weight model, the average temperature difference of slab decreases by 5.05 鈩，

本文編號：1650584