DEM analysis of residence time distribution during twin screw granulation

DEM analysis of residence time distribution during twin screw granulation
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DOI:
10.1016/j.powtec.2020.09.049
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发表时间:
2021-01-02
期刊:
影响因子:
5.2
通讯作者:
Wu, Chuan-Yu
Wu, Chuan-Yu
中科院分区:
工程技术2区
文献类型:
--
作者:
Zheng, Chao;Zhang, Ling;Wu, Chuan-Yu

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双螺杆造粒(TSG)越来越多地用于生产各种行业的颗粒,如食品,制药和精细化工。然而,在螺杆设计、配方特性和操作条件方面存在很大的参数空间,因此如何在保持一致的产品质量的同时最大化生产量并不是一项微不足道的任务,仍然需要进一步研究。在这项研究中,TSG过程进行了系统的分析,使用离散元方法(DEM)的基础上的图形处理器单元(GPU)的架构,不仅可以提供宏观信息,但也微观洞察到复杂的TSG过程。特别是,颗粒流剖面和停留时间分布,从模拟和详细分析。研究了颗粒粒径和螺杆转速对颗粒在TSG中流动行为的影响。结果表明,平均停留时间和它的方差在螺旋桨的颗粒尺寸和螺杆转速的增加而减少。在较高的螺杆转速下,具有较大粒径的颗粒的停留时间的E-曲线具有较窄的扩展,这意味着具有较大粒径的颗粒在双螺杆挤出机中具有相似的停留时间。此外,累积分布函数,F-曲线,显示出较高的增长率为较大的颗粒和较高的螺杆速度,表明更快的输送效率。(C)2020 Elsevier B. V.保留所有权利。
Twin screw granulation (TSG) is increasingly used to produce granules in various industries, such as food, pharmaceutical, and fine chemicals. However, there is a large parametric space in terms of screw designs, formulation properties and operating conditions, so how to maximise the production throughput while maintaining consistent product quality is not a trivial task and still needs further investigation. In this study, the TSG process was systematically analysed using a discrete element method (DEM) based on the graphics processor unit (GPU) architectures that can provide not only macroscopic information but also microscopic insights into the complicated TSG process. In particular, the particle flow profiles and residence time distributions were obtained from the simulations and analysed in details. The effects of particle size and screw speed on flow behaviour of particles in TSG were also explored. It was shown that the mean residence time and its variance in the granulator decreased with increasing particle size and screw speed. The E-curves of the residence time with larger particle size at higher screw speed had a narrower spread, implying that particles with a larger size had similar residence time in the twin screw granulator. In addition, the cumulative distribution function, the F-curves, showed a higher increasing rate for larger particles and higher screw speeds, indicating a faster conveying efficiency. (C) 2020 Elsevier B.V. All rights reserved.