材料科学
聚丙烯
分子动力学
粘度
极限抗拉强度
微观结构
复合材料
剪切速率
聚合物
聚乙烯
剪切(地质)
剪切粘度
组分(热力学)
剪切减薄
聚合物混合物
材料性能
表观粘度
耐磨性
剪应力
热力学
流变学
作者
Qiang Zhu,Leping Wang,Yueming Cheng,Kang Liu,Linfu Zhang,Zhixun Yang,Peng Zhang
出处
期刊:Langmuir
[American Chemical Society]
日期:2026-08-14
卷期号:42 (33): 24086-24098
标识
DOI:10.1021/acs.langmuir.6c02661
摘要
Ultrahigh-molecular-weight polyethylene (UHMWPE), due to its extremely high melt viscosity and poor processing fluidity, severely restricts the forming and processing of the material and its application in engineering scenarios. Therefore, improving its processability while maintaining its excellent wear resistance has become a key scientific issue in the application of this material. In this study, polypropylene (PP) was used as a modification phase, and molecular dynamics simulation methods were employed to investigate the steady-state shear rheological, tensile mechanical, and friction-wear properties of PP/UHMWPE blend systems, revealing the regulatory mechanism of PP on the microstructure and macroscopic properties of UHMWPE. The results show that all blend systems exhibit shear thinning behavior, and the melt viscosity decreases significantly with increasing PP content. The blend systems are thermodynamically partially compatible. The 10/90 system exhibits optimal chain segment motion synergy, tensile strength, and structural stability, with an effective delay in microdamage evolution. As the PP content increases from 0 to 50%, the wear resistance of the material decreases and the wear rate increases from 36.96 to 58.42%. At the molecular level, PP reduces nonbonded interactions, lowers the entanglement density, and enhances chain mobility, thereby improving processability. However, excessive reduction in entanglement weakens the load transfer and decreases wear resistance. Thus, an appropriate PP content achieves a balance between a reduced viscosity and maintained mechanical performance. The PP/UHMWPE (10/90) system achieves the best synergy among the processing fluidity, mechanical strength, and wear resistance.
科研通智能强力驱动
Strongly Powered by AbleSci AI