Folorunso Oladipo, Hamam Yskandar, Sadiku Rotimi, Ray Suprakas Sinha, Joseph Adekoya Gbolahan
French South African Institute of Technology (F'SATI)/Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa.
École Supérieure d'Ingénieurs en Électrotechnique et Électronique, Cité Descartes, 2 Boulevard Blaise Pascal, Noisy-le-Grand, 93160 Paris, France.
Polymers (Basel). 2019 Jul 29;11(8):1250. doi: 10.3390/polym11081250.
The problem associated with mixtures of fillers and polymers is that they result in mechanical degradation of the material (polymer) as the filler content increases. This problem will increase the weight of the material and manufacturing cost. For this reason, experimentation on the electrical conductivities of the polymer-composites (PCs) is not enough to research their electrical properties; models have to be adopted to solve the encountered challenges. Hitherto, several models by previous researchers have been developed and proposed, with each utilizing different design parameters. It is imperative to carry out analysis on these models so that the suitable one is identified. This paper indeed carried out a comprehensive parametric analysis on the existing electrical conductivity models for polymer composites. The analysis involves identification of the parameters that best predict the electrical conductivity of polymer composites for energy storage, viz: (batteries and capacitor), sensors, electronic device components, fuel cell electrodes, automotive, medical instrumentation, cathode scanners, solar cell, and military surveillance gadgets applications. The analysis showed that the existing models lack sufficient parametric ability to determine accurately the electrical conductivity of polymer-composites.
填料与聚合物混合物存在的问题是，随着填料含量的增加，它们会导致材料（聚合物）的机械降解。这个问题会增加材料的重量和制造成本。因此，仅对聚合物复合材料（PCs）的电导率进行实验不足以研究其电学性能；必须采用模型来解决所遇到的挑战。迄今为止，先前的研究人员已经开发并提出了几种模型，每种模型都使用不同的设计参数。对这些模型进行分析以确定合适的模型是至关重要的。本文确实对现有的聚合物复合材料电导率模型进行了全面的参数分析。该分析涉及确定最能预测用于能量存储（即电池和电容器）、传感器、电子设备组件、燃料电池电极、汽车、医疗仪器、阴极扫描仪、太阳能电池以及军事监视设备应用的聚合物复合材料电导率的参数。分析表明，现有模型缺乏足够的参数能力来准确确定聚合物复合材料的电导率。
