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利用一氧化碳工业废气解毒铬渣的方法及条件优化

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何力为, 李彬, 宁平, 张涛, 毕廷涛, 巩校, 闵熙泽. 利用一氧化碳工业废气解毒铬渣的方法及条件优化[J]. 环境工程学报, 2018, 12(9): 2617-2626. doi: 10.12030/j.cjee.201804127
引用本文: 何力为, 李彬, 宁平, 张涛, 毕廷涛, 巩校, 闵熙泽. 利用一氧化碳工业废气解毒铬渣的方法及条件优化[J]. 环境工程学报, 2018, 12(9): 2617-2626. doi: 10.12030/j.cjee.201804127
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HE Liwei, LI Bin, NING Ping, ZHANG Tao, BI Tingtao, GONG Xiao, MIN Xize. Method and process optimization of applying CO waste gas to detoxify chromite ore processing residue[J]. Chinese Journal of Environmental Engineering, 2018, 12(9): 2617-2626. doi: 10.12030/j.cjee.201804127
Citation: HE Liwei, LI Bin, NING Ping, ZHANG Tao, BI Tingtao, GONG Xiao, MIN Xize. Method and process optimization of applying CO waste gas to detoxify chromite ore processing residue[J]. Chinese Journal of Environmental Engineering, 2018, 12(9): 2617-2626. doi: 10.12030/j.cjee.201804127
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利用一氧化碳工业废气解毒铬渣的方法及条件优化

  • 1.

    昆明理工大学环境科学与工程学院，昆明 650093

  • 2.

    云南省环境科学研究院，云南省重金属污染控制工程技术研究中心，昆明 650034

  • 基金项目:

    国家重点研发计划项目（2017YFC0210504）

    西部典型产业环境污染控制协同创新中心开放基金资助项目（XTCX-2014-01）

Method and process optimization of applying CO waste gas to detoxify chromite ore processing residue

  • 1.

    School of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming 650093, China

  • 2.

    Yunnan Engineering Technology Research Center for Heavy Metal Pollution Controlling, Yunnan Institute of Environmental Science, Kunming 650034, China

  • Fund Project:

  • 摘要: 结合铬渣解毒及一氧化碳工业废气利用现状，提出采用一氧化碳工业废气解毒铬渣的方法。实验对反应温度、反应时间、铬渣质量、铬渣粒径等影响因素进行研究和筛选，用响应面法（RSM）分析了各因素对反应的影响及各因素之间交互性，建立反应的多元回归方程，并通过热力学分析进一步研究方法优越性的机理。结果表明：温度是该工艺铬渣解毒效率的关键影响因素，反应温度越高，解毒效果越好，优选反应温度范围350 ~ 400 ℃；浸出毒性目标值设定为1.0 mg·L-1，反应温度为400 ℃，铬渣质量为40 g，浸出毒性可降低至0.6 mg·L-1，还原率达99.85%；多元回归方程拟合性验证结果良好，RSM分析方法在条件优化中有较好的实用价值。
    Abstract: On the basis of survey on traditional technology of dry-detoxification of chromite ore processing residue (COPR) and the analysis of utilization of industrial carbon monoxide(CO) waste gas, the method of applying CO waste gas to detoxify COPR was put forward. Lab-scale experiments were conducted to verify its feasibility, thermodynamic calculation was implement to explore the mechanism. Reaction temperature, time, mass, grain size of COPR, and their impacts on the reduction rate were studied by single factor experiments, after that, response surface methodology （RSM） was adopted to analyse interrelationships between factors and build multiple regression equations for the reduction rate of Cr(Ⅵ) and leaching Cr(Ⅵ) for optimizing the technological conditions. Results indicated that, temperature was the key factor which influenced the reducing efficiency, the reduction rate rose with the increase of temperature, optimal temperature was from 350 to 400 ℃. When the target of the desire function was set for Cr(Ⅵ) leaching was 1.0 mg·L-1, combinations of technology conditions were obtained. Validation results for the technological conditions showed that the models were well fitted, when the temperature was minimized to 400 ℃, the maximum mass of COPR was 40 g, the concentration of leaching Cr(Ⅵ) could be reduced to 0.6 mg·L-1 with a reduction rate of 99.85%. The temperature of CO detoxification was proved much lower than traditional dry-detoxification process, which illustrate that CO waste gas detoxification is a promising way in recovery of COPR and proposed a worth considerate way in utilizing CO waste gas.
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  • 刊出日期:  2018-09-20

利用一氧化碳工业废气解毒铬渣的方法及条件优化

  • 1. 昆明理工大学环境科学与工程学院，昆明 650093
  • 2. 云南省环境科学研究院，云南省重金属污染控制工程技术研究中心，昆明 650034
基金项目:

国家重点研发计划项目（2017YFC0210504）

西部典型产业环境污染控制协同创新中心开放基金资助项目（XTCX-2014-01）

摘要: 结合铬渣解毒及一氧化碳工业废气利用现状，提出采用一氧化碳工业废气解毒铬渣的方法。实验对反应温度、反应时间、铬渣质量、铬渣粒径等影响因素进行研究和筛选，用响应面法（RSM）分析了各因素对反应的影响及各因素之间交互性，建立反应的多元回归方程，并通过热力学分析进一步研究方法优越性的机理。结果表明：温度是该工艺铬渣解毒效率的关键影响因素，反应温度越高，解毒效果越好，优选反应温度范围350 ~ 400 ℃；浸出毒性目标值设定为1.0 mg·L-1，反应温度为400 ℃，铬渣质量为40 g，浸出毒性可降低至0.6 mg·L-1，还原率达99.85%；多元回归方程拟合性验证结果良好，RSM分析方法在条件优化中有较好的实用价值。

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