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Multi-component and multi-phase population balance model: The case of Georgeite formation as methanol catalyst precursor phase

机译:多组分和多相人口平衡模型:以菱锰矿作为甲醇催化剂前体相的情况

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摘要

A novel generally applicable multi-component and multi-phase population balance model is presented. The model classifies precipitation and crystallization systems into the number of components (i.e. building units of solid) and number of solid phases. The model includes reaction equilibria of metal ions in aqueous media, activity modeling, mixing, particle formation kinetics, population and mole balances. The new model is applied to the initial stages of copper catalyst precursor formation. The population balance model is simplified to a single-solid phase and multi-component precipitation. Simulations for several solid phases were performed at various experimental conditions. We show that the formation of the carbonate rich Georgeite phase is favored. The simulation results are verified by the measured global parameters pH and solid weight. Mixing plays a minor role in comparison to the variation of the reactant concentration. The timescale of precipitation including mixing, nucleation and crystal growth ranges from microseconds up to 1 s depending on the extent of secondary nucleation.
机译:提出了一种新颖的普遍适用的多成分和多阶段人口平衡模型。该模型将沉淀和结晶系统分为组分的数量(即固体的构建单元)和固相的数量。该模型包括金属离子在水性介质中的反应平衡,活性建模,混合,颗粒形成动力学,种群和摩尔平衡。新模型应用于铜催化剂前体形成的初始阶段。人口平衡模型简化为单固相和多组分降水。在各种实验条件下进行了几种固相的模拟。我们表明,富含碳酸盐的乔其石相的形成是有利的。通过测量的全局参数pH和固体重量验证了仿真结果。与反应物浓度的变化相比,混合起次要作用。包括混合,成核和晶体生长在内的沉淀时间范围从微秒到1 s不等,具体取决于二次成核的程度。

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