Zheng Liu, Jing Shi, Dongdong Ji, Bo Sun, Xue Zhang
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引用次数: 1
摘要
摘要以天然鳞片石墨(FG)、炭黑(CB)和碳纤维(CF)为填料制备高密度聚乙烯(HDPE)导电聚合物复合材料。在这里,微尺寸FG作为主要导电填料,纳米尺寸CB作为辅助导电填料,短CF作为增柔材料与HDPE按一定的重量比进行内部混合。采用热压技术制备了商用导电高分子复合材料。通过优化碳填料与HDPE的配比,选择了两种导电复合材料。CF4%(CB + FG)1:5HDPE27%复合材料的体积电导率为20.76 S cm−1,抗弯强度为39.5 MPa。CF4%(CB + FG)1:4HDPE30%复合材料的抗弯强度为53.6 MPa,体积电导率为18.82 S cm−1。研究了两种复合电极在甲磺酸铅液流电池中900多次充放电循环的电化学耐蚀性。CF4%(CB + FG)1:4HDPE30%复合材料的耐久性优于CF4%(CB + FG)1:5HDPE27%复合材料。
Commercial preparation of hybrid carbon filler/HDPE composite electrodes for lead methanesulfonate flow batteries
ABSTRACT High-density polyethylene (HDPE) conductive polymer composites are prepared using carbon fillers, such as natural flake graphite (FG), carbon black (CB), and carbon fibre (CF). Here, micro-sized FG as the main conductive filler, nano-sized CB as assistant conductive filler, and short CF as flexibility-enhanced materials are internally mixed with HDPE in a certain weight ratio. Commercial conductive polymer composite is prepared by hot pressing technology. Two kinds of conductive composites are selected by optimising the ratio of carbon fillers and HDPE. CF4%(CB + FG)1:5HDPE27% composite has the higher volume conductivity of 20.76 S cm−1 with a bending strength of 39.5 MPa. CF4%(CB + FG)1:4HDPE30% composite has the larger bending strength of 53.6 MPa with a volume conductivity of 18.82 S cm−1. The electrochemical corrosion resistances of those two composite electrodes are investigated over 900 charging/discharging cycles in the lead methanesulfonate flow cell. CF4%(CB + FG)1:4HDPE30% composite exhibits better durability than CF4%(CB + FG)1:5HDPE27% composite.
期刊介绍:
Plastics, Rubber and Composites: Macromolecular Engineering provides an international forum for the publication of original, peer-reviewed research on the macromolecular engineering of polymeric and related materials and polymer matrix composites. Modern polymer processing is increasingly focused on macromolecular engineering: the manipulation of structure at the molecular scale to control properties and fitness for purpose of the final component. Intimately linked to this are the objectives of predicting properties in the context of an optimised design and of establishing robust processing routes and process control systems allowing the desired properties to be achieved reliably.