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Experimental investigation and modeling of diffusion dialysis for HCl recovery from waste pickling solution

机译:扩散渗析从废酸洗液中回收HCl的实验研究与建模

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摘要

Hydrochloric acid recovery from pickling solutions was studied by employing a batch diffusion dialysis (DD) laboratory test-rig equipped with Fumasep membranes. The effect of main operating parameters such as HCl concentration (0.1-3 M) and the presence of Fe2+ (up to 150 g/l) was investigated to simulate the system operation with real industrial streams. The variation of HCl, Fe(2+ )and water flux was identified. When only HCl is present, a recovery efficiency of 100% was reached. In the presence of FeCl2, higher acid recovery efficiencies, up to 150%, were observed due to the so-called "salt effect", which promotes the passage of acid even against its concentration gradient. A 7% leakage of FeCl2 was detected in the most severe conditions. An original analysis on water flux in DD operation has indicated that osmotic flux prevails at low HCl concentrations, while a dominant "drag flux" in the opposite direction is observed for higher HCl concentrations.A comprehensive mathematical model was developed and validated with experimental data. The model has a time and space distributed-parameters structure allowing to effectively simulate steady-state and transient batch operations, thus providing an operative tool for the design and optimisation of DD units.
机译:通过采用配备Fumasep膜的间歇扩散渗析(DD)实验室试验台研究了从酸洗溶液中回收盐酸的方法。研究了主要操作参数(如HCl浓度(0.1-3 M)和Fe2 +的存在(最高150 g / l))的影响,以模拟实际工业流中的系统操作。确定了HCl,Fe(2+)和水通量的变化。当仅存在HCl时,回收率达到100%。在FeCl 2的存在下,由于所谓的“盐效应”,观察到更高的酸回收效率,最高可达150%,这甚至在其浓度梯度下也能促进酸的通过。在最恶劣的条件下,检测到FeCl2泄漏7%。 DD操作中对水通量的原始分析表明,在较低的HCl浓度下,渗透通量占主导地位,而对于较高的HCl浓度,则观察到相反方向的主要“拖动通量”。建立了一个综合的数学模型并通过实验验证数据。该模型具有时空分布参数结构,可以有效地模拟稳态和瞬态批处理操作,从而为DD装置的设计和优化提供了一种操作工具。

著录项

  • 来源
    《Journal of Environmental Management》 |2019年第1期|202-212|共11页
  • 作者单位

    Univ Palermo, Dipartimento Innovaz Ind & Digitale, Ingn Chim Gest Informat Meccan, Viale Sci Ed 6, I-90128 Palermo, Italy;

    Univ Palermo, Dipartimento Innovaz Ind & Digitale, Ingn Chim Gest Informat Meccan, Viale Sci Ed 6, I-90128 Palermo, Italy;

    Univ Palermo, Dipartimento Sci & Tecnol Biol, Chim & Farmaceut, Viale Sci Ed 17, I-90128 Palermo, Italy;

    Univ Palermo, Dipartimento Innovaz Ind & Digitale, Ingn Chim Gest Informat Meccan, Viale Sci Ed 6, I-90128 Palermo, Italy;

    Univ Palermo, Dipartimento Innovaz Ind & Digitale, Ingn Chim Gest Informat Meccan, Viale Sci Ed 6, I-90128 Palermo, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pickling process; Diffusion dialysis; Modeling; Industrial waste recovery; AEM;

    机译:酸洗工艺;渗析;建模;工业废料回收;AEM;

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