再生高密度聚乙烯(rHDPE)与纯聚乙烯(vHDPE)共混是改善其力学性能的有效途径

IF 4.6 Q2 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Recycling Pub Date : 2022-12-26 DOI:10.3390/recycling8010002
Jian Zhang, V. Hirschberg, D. Rodrigue
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引用次数: 6

摘要

本工作深入研究了原始/再生高密度聚乙烯(HDPE)共混物在整个浓度范围内的力学性能。特别是,重点是通过机械疲劳的长期性能。使用两种不同的混合方法,即粉末混合(干式混合)和挤出混合(熔融混合),来确定加工条件对压缩成型后共混物拉伸和疲劳行为的影响。研究发现,随着vHDPE含量的增加,拉伸性能(模量、极限强度)和疲劳性能都有所改善。根据获得的数据,报道了共混物的组成与力学性能之间的相关性。此外,据观察,增加vHDPE含量会导致裂纹扩展速率减慢,这可能是由于共混物中的缺陷(污染)较少。最后,观察到两种混合方法之间的机械性能(抗疲劳性)差异可以忽略不计,但随着vHDPE含量的增加,通过粉末混合生产的样品显示出较少的粘性耗散(热量产生),从而导致较低的表面温升,这对特定应用来说可能是一个优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blending Recycled High-Density Polyethylene HDPE (rHDPE) with Virgin (vHDPE) as an Effective Approach to Improve the Mechanical Properties
The mechanical properties of virgin/recycled high-density polyethylene (HDPE) blends over the complete concentration range was thoroughly investigated in this work. In particular, a focus was made on the long-term properties via mechanical fatigue. Two different mixing methods, namely powder mixing (dry blending) and extrusion mixing (melt blending), were used to determine the effect of processing conditions on the tensile and fatigue behavior of the blends after compression molding. It was found that both tensile (modulus, ultimate strength) and fatigue performances were improved with increasing vHDPE content. Based on the obtained data, a correlation between the blends composition and mechanical properties is reported. Moreover, it was observed that increasing the vHDPE content led to slower crack propagation rate, probably due to less defects (contamination) in the blends. Finally, a negligible difference in mechanical properties (fatigue resistance) between both mixing approaches was observed, but samples produced via powder mixing showed less viscous dissipation (heat generation) as the vHDPE content increased, leading to lower surface temperature rise which can be an advantage for specific applications.
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来源期刊
Recycling
Recycling Environmental Science-Management, Monitoring, Policy and Law
CiteScore
6.80
自引率
7.00%
发文量
84
审稿时长
11 weeks
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