A. I. Sharshir, S. Fayek, Amal. F. Abd El-Gawad, M. Farahat, M. Ismail, M. Ghobashy
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引用次数: 3
摘要
摘要本文研究了聚乙烯/铜纳米颗粒(XLPE/Cu)中压(MV)地下电缆绝缘的电场分布。建立了碱还原法、电解法和金属置换法三种合成纳米铜的方法。利用紫外可见光谱、x射线衍射和透射电子显微镜(TEM)对得到的CuNPs进行了分类。用3 MeV、0、15、20和25 kGy的不同剂量电子束(EB)对不同CuNP含量(0%、1%、3%和5%)的XLPE/Cu薄膜进行处理。在(XLPE/5- cu) 25 kGy的条件下,在cup含量为5wt -%、辐射强度为25 kGy的条件下,获得了最佳的AC/DC电导率(AC 2 × 10−3 S m−1,DC 4.63 × 10−2 S m−1),最小相对介电常数为2.05。25 kGy (XLPE/5-Cu)样品的电场分布在中部比顶部和底部均匀。
Simulating the electric field distribution in medium-voltage cables of cross-linked polyethylene/Cu nanocomposites irradiated by E-beam with reference to the XLPE market
ABSTRACT In this paper, the distribution of the electric field of medium voltage (MV) underground cable insulation made of polyethylene/copper nanoparticles (XLPE/Cu) is investigated. Three methods were established for copper nanoparticles (CuNPs) synthesis such as the alkaline reduction process, electrolysis process and metal displacement reaction. Ultraviolet–visible spectra, X-ray diffraction, and transmission electron microscopy (TEM) were used to classify the obtained CuNPs. The XLPE/Cu films with different CuNP weight content (0%, 1%, 3% and 5%) were subjected to a 3 MeV electron beam (EB) with different doses (0, 15, 20 and 25 kGy). The optimum AC/DC conductivity (AC 2 × 10−3 S m−1, DC 4.63 × 10−2 S m−1) in minimum relative permittivity (2.05) achieved for (XLPE/5-Cu) 25 kGy that is has a CuNP content of 5 wt-% and irradiated at 25 kGy. The electric field distribution in the middle of the (XLPE/5-Cu) 25 kGy sample is maximum uniform than at the top or bottom.
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.