饼式滤波器放大、仿真和数据采集——一种新方法

E.S. Tarleton
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引用次数: 6

摘要

本文详细介绍了一种独特的自动化过滤装置和新开发的过滤器设计软件(FDS),该软件通过综合实验和理论方法促进设备选择,放大和模拟。通过举例,用该装置在恒定、可变和阶梯压力下获得了实验数据。通过使用计算机控制的压力调节器来保持固有的悬浮特性,并通过微压力传感器监测滤饼的形成,该传感器能够在距离过滤介质表面3.3毫米的范围内提供多达7个独立的液体压力测量。对于定压和中等可压缩性滑石饼,液体压力随饼高呈非线性增长,一般呈凹形。当在一段时间的恒压过滤后施加压力时,滤饼结构通常需要长达30秒才能达到新的伪平衡状态。在此期间,滤液流量与滤液体积的倒数曲线是非线性的,滤饼中的液体压力迅速增加,然后几乎保持不变。当滤饼较厚或压力阶跃较大时,测得的靠近过滤介质的液体压力要么随压力增加而保持不变,要么在压力阶跃的360 s持续时间内缓慢增加,这表明分步压力试验可能存在困难。使用FDS对过滤数据进行分析以获得放大系数,并显示了在过程规模上使用不正确的放大系数对可能的过滤性能的影响。通过一个案例研究,FDS的模拟能力也得到了强调,在该案例研究中,通过举例,显示了晶体形成和其他操作参数对制药产品过滤周期的影响。模拟量化了晶体形态如何对循环的所有阶段产生不利影响,并导致过滤速度变慢和滤饼变湿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cake filter scale-up, simulation and data acquisition—A new approach

This paper details a unique, automated filtration apparatus and the newly developed Filter Design Software (FDS) which facilitates equipment selection, scale-up and simulation through an integrated experimental and theoretical approach.

By way of example, experimental data were obtained with the apparatus over constant, variable and stepped pressure regimes. Inherent suspension properties were maintained throughout by utilising a computer-controlled pressure regulator and cake formation was monitored by micro-pressure transducers capable of providing up to seven independent measures of liquid pressure within 3.3 mm of the filter medium surface. For constant pressure and moderately compressible talc cakes the liquid pressure increased with cake height in a non-linear manner and generally exhibited a concave profile. When a pressure step was applied following a period of constant pressure filtration, the cake structure typically required up to 30 s to reach a new pseudo-equilibrium state. During this time the reciprocal filtrate flow rate vs. filtrate volume plot was non-linear and the liquid pressures in the cake increased rapidly before remaining nearly constant. When the cake was thicker or the pressure step larger, the liquid pressure measured closer to the filter medium remained either constant following the increase in pressure or increased slowly over the 360 s duration of the pressure step which indicates potential difficulties with the stepped pressure test.

The filtration data were analysed using FDS to obtain scale-up coefficients and the impact of using incorrect scale-up coefficients on likely filter performance at the process scale is shown. The simulation capabilities of FDS are also highlighted through a case study in which, by way of example, the influence of crystal formation and other operating parameters on the filter cycle for a pharmaceutical product are shown. Simulations quantify how crystal form can detrimentally influence all phases of a cycle and lead to, for instance, slower filtration and wetter filter cakes.

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