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高铁铝土矿热压块抗压强度影响因素响应曲面优化
引用本文:柳政根,储满生,王峥,王宏涛.高铁铝土矿热压块抗压强度影响因素响应曲面优化[J].东北大学学报(自然科学版),2015,36(9):1278-1282.
作者姓名:柳政根  储满生  王峥  王宏涛
基金项目:国家自然科学基金资助项目(51374058).
摘    要:基于响应曲面优化法,采用中心组合设计,系统研究了配煤量、矿粉粒度、煤粉粒度等工艺参数及其交互作用对高铁铝土矿热压块抗压强度的影响,并建立了相关的数学预测模型.研究表明,各工艺参数对高铁铝土矿热压块抗压强度的影响显著,其程度大小依次为配煤量、矿粉粒度、煤粉粒度;所建立的数学模型相关系数为0.958 9,该模型能够预测高铁铝土矿热压块抗压强度随各参数的变化规律;利用该模型对高铁铝土矿热压块的制备工艺进行了参数优化,优化制备工艺参数为:配煤量19.0%,矿粉粒度96μm,煤粉粒度80μm,在此条件下制备的热压块抗压强度为1 024.3 N,与模型预测值1 000 N接近,相差只有2.43%,说明该数学模型能够为高铁铝土矿热压块制备工艺的优化提供参考.

关 键 词:高铁铝土矿热压块  含碳球团  抗压强度  响应曲面优化法  数学模型  

Influencing Factors Optimization on the CompressiVe Strength of High Iron Bauxite Hot Briquettes with Response Surface Methodology
LIU Zheng-gen,CHU Man-sheng,WANG Zheng,WANG Hong-tao.Influencing Factors Optimization on the CompressiVe Strength of High Iron Bauxite Hot Briquettes with Response Surface Methodology[J].Journal of Northeastern University(Natural Science),2015,36(9):1278-1282.
Authors:LIU Zheng-gen  CHU Man-sheng  WANG Zheng  WANG Hong-tao
Abstract:The central composite design with response surface methodology was used to systemically research the effects of process parameters such as coal additive amount, ore particle size and coal particle size and their interaction on the compressive strength of high iron bauxite hot briquettes (HIBHB). The relevant mathematical prediction model was established as well. The results showed that these process parameters had significant effects on the compressive strength of HIBHB, ranking from coal additive amount, ore particle size to coal particle size. The established mathematical model with a correlation coefficient of 0.9589 could predict the changing rules for the compressive strength of HIBHB. Based on the model, the process parameters were optimized as follows: coal additive amount 19.0%, ore particle size 96μm and coal particle size 80μm. Under the manufacturing condition of optimized process parameters, the compressive strength of HIBHB was 1024.3N, very close to the predicted value of 1000N by the model. The difference between the experimental value and the predicted value was simply 2.43%, which indicated that the mathematical model could help to optimize the production process for HIBHB.
Keywords:high iron bauxite hot briquette (HIBHB)  carbon composite agglomerate  compressive strength  response surface methodology  mathematical model  
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