Traxler Ines, Marschik Christian, Farthofer Manuel, Laske Stephan, Fischer Joerg
Competence Center CHASE GmbH, Altenberger Strasse 69, 4040 Linz, Austria.
Institute of Polymeric Materials and Testing, Johannes Kepler University Linz, Altenberger Strasse 69, 4040 Linz, Austria.
Polymers (Basel). 2022 Jun 30;14(13):2699. doi: 10.3390/polym14132699.
To enable the use of recyclates in thermoformed polypropylene products with acceptable optical appearance and good mechanical stability, a multilayer structure of virgin and recycled material can be used. When producing multilayer films with more than two layers, the used materials should have similar melt flow properties to prevent processing instabilities. In the case of a three-layer film, post-consumer recyclates are often hidden in the core layer. Due to the inconsistent melt flow properties of post-consumer recyclates, the adjustment of the melt flow properties of the core layer to those of the outer layers has to be realized by blending with virgin materials. In order to understand the effect of mixing with a virgin material with a certain pre-defined melt flow rate (MFR), material mixtures with different mixing partners from various sources were realized in this study. Hence, the pre-defined virgin material was mixed with (i) virgin materials, (ii) artificial recyclates out of a mixture of different virgin materials, and (iii) commercially available recyclates. These blends with mixing partner contents ranging from 0-100% in 10% increments were prepared by compounding and the MFR of each mixture was determined. For a mathematical description of the mixing behavior and furthermore for a proper MFR prediction of the material mix, existing mixing rules were tested on the three pre-defined sample groups. Therefore, this paper shows the applicability of different mixing rules for the prediction of the MFR of material blends. Furthermore, a new mixing rule was developed using symbolic regression based on genetic programming, which proved to be the most accurate predictive model.
为了能够在具有可接受的光学外观和良好机械稳定性的热成型聚丙烯产品中使用回收材料,可以采用原生材料和回收材料的多层结构。在生产具有两层以上的多层薄膜时,所使用的材料应具有相似的熔体流动性能,以防止加工不稳定。对于三层薄膜,消费后回收材料通常隐藏在芯层中。由于消费后回收材料的熔体流动性能不一致,必须通过与原生材料共混来实现芯层熔体流动性能与外层的匹配。为了了解与具有特定预定义熔体流动速率(MFR)的原生材料混合的效果,本研究实现了与来自不同来源的不同混合伙伴的材料混合物。因此,将预定义的原生材料与(i)原生材料、(ii)由不同原生材料混合而成的人工回收材料以及(iii)市售回收材料进行混合。通过混合制备这些混合伙伴含量从0 - 100%以10%增量变化的共混物,并测定每种混合物的MFR。为了对混合行为进行数学描述,并进一步对材料混合物的MFR进行适当预测,对三个预定义的样品组测试了现有的混合规则。因此,本文展示了不同混合规则对材料共混物MFR预测的适用性。此外,基于遗传编程使用符号回归开发了一种新的混合规则,事实证明它是最准确的预测模型。