Nastaj Andrzej, Wilczyński Krzysztof
Warsaw University of Technology, Faculty of Production Engineering, Polymer Processing Department, 02-524 Warsaw, Narbutta 85, Poland.
Polymers (Basel). 2020 Jan 7;12(1):149. doi: 10.3390/polym12010149.
A novel computer optimization system for flood fed/starve fed single screw extrusion of polymeric materials has been developed. This coupled system allows us to optimize single screw extrusion both flood fed and starve fed. Optimization is based on process simulation which is performed using global extrusion model GSEM (Global Screw Extrusion Model). The process is optimized with the use of GASEO (Genetic Algorithms Screw Extrusion Optimization) procedures which were developed using Genetic Algorithms. An example of optimization of extrusion process parameters has been presented to maximize extrusion output and minimize specific energy consumption. Optimization has been performed in a unique and original way in a coupled manner when both modes of feeding were allowed. The studies have shown that the optimal process is extrusion with starving. In this case, the global objective function reached the highest value, and extrusion throughput was relatively high and specific energy consumption was minimal.
一种用于聚合物材料溢流喂料/饥饿喂料单螺杆挤出的新型计算机优化系统已被开发出来。这个耦合系统使我们能够对溢流喂料和饥饿喂料的单螺杆挤出进行优化。优化基于使用全局挤出模型GSEM（Global Screw Extrusion Model）进行的过程模拟。该过程通过使用GASEO（遗传算法螺杆挤出优化）程序进行优化，该程序是使用遗传算法开发的。给出了一个挤出工艺参数优化的例子，以最大化挤出产量并最小化比能耗。当两种喂料模式都允许时，以一种独特且原始的耦合方式进行了优化。研究表明，最佳工艺是饥饿挤出。在这种情况下，全局目标函数达到最高值，挤出产量相对较高，比能耗最小。
