pH optimization and control in iron removal process of multi-reactor cascade

LI Yonggang; MA Lei; WU Tiebin; ZHU Hongqiu; YANG Chunhua

doi:10.11949/j.issn.0438-1157.20171393

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pH optimization and control in iron removal process of multi-reactor cascade

更新时间：2025-12-10

- pH optimization and control in iron removal process of multi-reactor cascade
- CIESC Journal Issue 6, Pages: 2586-2593(2018)
- 作者机构：
  
  1. 中南大学信息科学与工程学院,湖南,长沙,410038
  2. 湖南人文科技学院能源与机电工程学院,湖南,娄底,417000
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20171393
  CLC： F355+.4
- Online First：05 June 2018，
  
  Published：05 June 2018
- 稿件说明：
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LI Yonggang, MA Lei, WU Tiebin, et al. pH optimization and control in iron removal process of multi-reactor cascade[J]. CIESC Journal, 2018, (6): 2586-2593.
DOI：

LI Yonggang, MA Lei, WU Tiebin, et al. pH optimization and control in iron removal process of multi-reactor cascade[J]. CIESC Journal, 2018, (6): 2586-2593. DOI： 10.11949/j.issn.0438-1157.20171393.

摘要

针对沉铁过程多反应器级联、离子浓度检测滞后及工况变化频繁导致pH优化控制困难的问题，提出了一种基于多反应器级联的沉铁过程pH优化控制方法。该方法基于入口工况划分与氧气变化量预设定各个级联反应器的pH，并针对影响焙砂添加量的两个主要因素：pH和亚铁离子浓度，建立了基于沉铁过程化学反应机理和物料平衡的焙砂添加量模型；考虑到沉铁过程机理复杂及离子浓度检测滞后影响焙砂的准确添加，引入了氧化还原电位（oxidation-reduction potential，ORP），并提出一种基于ORP和pH变化量的焙砂模糊修正模型。仿真结果证明了该方法的有效性，为针铁矿法沉铁过程的稳定运行创造了条件。

Abstract

It is difficult to optimize and control pH in iron removal process

due to multi-reactor cascade

delayed detection of ionic concentration

and frequent change of working conditions. A pH optimization control method was proposed for iron removal process of a multi-reactor cascade. This method set pH in each reactor of the cascade according to classification of inlet conditions and amount of oxygen change. Two key factors

i.e. pH and ferrous ion concentration

were used to establish calcine consumption model by chemical reaction mechanism and process material balance. Considered effects of both complex mechanism and delayed detection of ion concentration on accurate addition of calcine

oxidation-reduction potential (ORP) was introduced and combined with pH to build a modified fuzzy model of calcine consumption. Simulation results show effectiveness of the method

which creates foundation for stable operation of amphibolite iron removal process.

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