聚合物单螺杆挤出是用于获得塑料制品的主要工业加工技术。为了确保高输出,严格的尺寸公差,和优异的产品性能,挤出机螺杆可显示不同的设计特性。隔离螺钉,在压缩区包含第二次飞行,已经变得相当流行,因为它们促进和稳定聚合物熔融。因此,重要的是设计高效的挤出机螺杆,并决定常规螺杆是否能有效地完成工作,或者应该考虑使用隔离螺钉。这项工作使用多目标进化算法设计具有优化几何形状的常规和屏障螺钉(将研究Maillefer螺钉)。两种聚合物的加工,低密度聚乙烯和聚丙烯,被分析。一种基于使用人工智能(AI)技术的方法,即,数据挖掘,决策,和进化算法,提出并利用这些方法获得具有现实意义的结果,基于优化中使用的相关绩效度量(目标)。对于选择的各种案例研究,Maillefer螺钉通常有利于加工LDPE,而对于PP,使用两种类型的螺钉将是可行的。
Polymer single-screw extrusion is a major industrial processing technique used to obtain plastic products. To assure high outputs, tight dimensional tolerances, and excellent product performance, extruder screws may show different design characteristics. Barrier screws, which contain a second flight in the compression zone, have become quite popular as they promote and stabilize polymer melting. Therefore, it is important to design efficient extruder screws and decide whether a conventional screw will perform the job efficiently, or a barrier screw should be considered instead. This work uses multi-objective evolutionary algorithms to design conventional and barrier screws (Maillefer screws will be studied) with optimized geometry. The processing of two polymers, low-density polyethylene and polypropylene, is analyzed. A methodology based on the use of artificial intelligence (AI) techniques, namely, data mining, decision making, and evolutionary algorithms, is presented and utilized to obtain results with practical significance, based on relevant performance measures (objectives) used in the optimization. For the various case studies selected, Maillefer screws were generally advantageous for processing LDPE, while for PP, the use of both types of screws would be feasible.