Predicting effects of operating condition variations on breakage rates in stirred media mills
Predicting effects of operating condition variations on breakage rates in stirred media mills
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DOI：
10.1016/j.cherd.2018.09.009
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发表时间：
2018-10-01
影响因子：
3.9
通讯作者：
Kwade, Arno
中科院分区：
文献类型：
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作者：
Fragniere, Greta;Beinert, Stefan;Kwade, Arno
为了对搅拌介质米尔斯磨的破碎动力学进行预测性建模，需要确定操作条件对破碎率的影响。在这项研究中，特定的破碎率测量研磨实验在湿式搅拌介质米尔斯的各种操作参数。以酵母细胞和石灰石为试验材料，对两种不同的模型进行了实验比破碎率的比较。一个简单的应力能量模型是能够预测的影响，在研磨珠的大小，研磨珠材料，搅拌器的速度和质量浓度上的特定破碎率的变化。一个更详细的模型，它采取应力能量分布轧机模拟和材料破碎能量分布从材料试验作为输入，显示出可喜的成果。然而，后者的鲁棒性较差，需要精确的输入数据。酵母细胞被证明是一个很好的测试材料的模型验证的目的，因为它的良好描述的破碎行为。(C)2018化学工程师学会。Elsevier B.V.出版，保留所有权利。
In order to model predictively the breakage kinetics in stirred media mills, it is required to determine the effect of operating conditions on the breakage rate. In this study specific breakage rates are measured for grinding experiments in wet-operated stirred media mills for various operating parameters. The experimental specific breakage rates are compared against two different models using yeast cells and limestone as test materials. A simple stressing energy model is able to predict the effect of changes in grinding bead size, grinding bead material, stirrer speed and mass concentration on the specific breakage rate. A more detailed model, which takes stressing energy distributions achieved by mill simulations and material breakage energy distributions from material tests as input, shows promising results. However, the latter is less robust and needs precise input data. Yeast cells prove to be a good test material for the purpose of model validation because of its well described breakage behaviour. (C) 2018 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.