Model based process optimization of nanosuspension preparation via wet stirred media milling
Model based process optimization of nanosuspension preparation via wet stirred media milling
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DOI：
10.1016/j.powtec.2018.03.011
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发表时间：
2018-05-15
影响因子：
5.2
通讯作者：
Kwade, Arno
中科院分区：
文献类型：
--
作者：
Flach, Frederik;Breitung-Faes, Sandra;Kwade, Arno
本文主要研究基于模型的湿法搅拌法制备纳米悬浮液的工艺参数优化。基于结晶有机材料的纳米粉碎实验数据，对两种不同的工艺优化方法进行了评价：将Kuade提出的搅拌介质粉碎机的应力模型与Bilgili和Afolabi改进的微流体动力学方法进行了比较。讨论了描述操作参数对纳米悬浮液制备过程优化影响的不同方法。这两种方法产生的特征值都是根据工艺参数的比例得出的。尽管有不同的物理假设，但这两种方法都可以优化铣削过程。只有通过数值程序才能更详细地了解物理相互作用。注意到应用程序的局限性，特别是在计算所需参数的可及性方面。(C)2018爱思唯尔B.V.保留所有权利。
The present study focuses on model based parameter optimization of nanosuspension preparation via wet stirred media milling. Based on experimental data of nanomilling a crystalline organic material, two different approaches for process optimization were evaluated: The stress model for stirred media mills, introduced by Kwade, was compared to the microhydrodynamic approach modified by Bilgili and Afolabi. The different approaches to describe influences of operating parameters were discussed with respect to their applicability on process optimization of nanosuspension preparation. Both approaches yield characteristic values which are derived from proportionalities to process parameters. Despite of different physical assumptions, the milling process can be optimized by both approaches. A more detailed insight into physical interactions can be only generated by numerical procedures. Limitations of the applied procedures were observed especially with respect to the accessibility of parameters required for calculation. (C) 2018 Elsevier B.V. All rights reserved.