东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2015, Vol. 36 ›› Issue (9): 1278-1282.DOI: 10.3969/j.issn.1005-3026.2015.09.014

• 材料与冶金 • 上一篇    下一篇

高铁铝土矿热压块抗压强度影响因素响应曲面优化

柳政根， 储满生， 王峥， 王宏涛   

  1. (东北大学 材料与冶金学院， 辽宁 沈阳110819)
  • 收稿日期:2014-07-17 修回日期:2014-07-17 出版日期:2015-09-15 发布日期:2015-09-14
  • 通讯作者: 柳政根
  • 作者简介:柳政根(1983-)，男，江西宜春人，东北大学博士研究生； 储满生(1973-)，男，安徽岳西人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51374058).

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   

  1. School of Materials & Metallurgy， Northeastern University， Shenyang 110819， China.
  • Received:2014-07-17 Revised:2014-07-17 Online:2015-09-15 Published:2015-09-14
  • Contact: CHU Man-sheng
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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0.9589，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1024.3N，与模型预测值1000N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

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.

Key words: high iron bauxite hot briquette (HIBHB), carbon composite agglomerate, compressive strength, response surface methodology, mathematical model

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