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聚合物反向旋转双螺杆挤出的放大研究

Scaling-Up for the Counter-Rotating Twin Screw Extrusion of Polymers.

作者信息

Nastaj Andrzej, Wilczyński Krzysztof

机构信息

Polymer Processing Department, Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, Narbutta 85, 02-524 Warsaw, Poland.

出版信息

Polymers (Basel). 2024 Sep 26;16(19):2720. doi: 10.3390/polym16192720.

Abstract

A novel and original computer scaling-up system for the counter-rotating twin screw extrusion of polymers was developed. In the system, each scaling parameter (scaling criterion) may be considered as an objective function to be minimized for the single parameters or the functional relationships along the length of the screw. Scaling was based on the process simulation, which was performed using the comprehensive (or global) counter-rotating twin screw extrusion program called TSEM (Twin Screw Extrusion Model). The extrusion process was scaled by applying GASES (Genetic Algorithms Screw Extrusion Scaling) software developed for this purpose using genetic algorithms. Scaling up the extrusion process was carried out to enhance extrusion process throughput according to the scaling criteria specified by the single quantities of polymer melt temperature at the die exit and relative melting length, and by distributions along the screw length of the extrusion parameters of the polymer melt temperature and polymer plasticating. The global objective function had the lowest value for the selected extrusion parameters, which means the minimal differences between the values of the scaled-up processes and extrusion throughput was significantly increased. The solution to the problem of scaling the counter-rotating process presented in this paper complements the existing solutions for optimizing and scaling basic variants of the extrusion process, i.e., flood-fed and starve (metered)-fed single-screw extrusion, as well as co-rotating and counter-rotating twin-screw extrusion.

摘要

开发了一种新颖且原创的用于聚合物反向旋转双螺杆挤出的计算机放大系统。在该系统中,每个缩放参数(缩放准则)可被视为针对单个参数或沿螺杆长度的函数关系要最小化的目标函数。缩放基于过程模拟,该模拟使用名为TSEM(双螺杆挤出模型)的综合(或全局)反向旋转双螺杆挤出程序进行。挤出过程通过应用为此目的使用遗传算法开发的GASES(遗传算法螺杆挤出缩放)软件进行缩放。根据模头出口处聚合物熔体温度的单量和相对熔化长度以及聚合物熔体温度和聚合物塑化的挤出参数沿螺杆长度的分布所指定的缩放标准,进行挤出过程的放大以提高挤出过程的产量。对于选定的挤出参数,全局目标函数具有最低值,这意味着放大过程的值与挤出产量之间的最小差异显著增加。本文提出的反向旋转过程缩放问题的解决方案补充了用于优化和缩放挤出过程基本变体的现有解决方案,即全量喂料和饥饿(计量)喂料单螺杆挤出以及同向旋转和反向旋转双螺杆挤出。

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