Effect of microcarbon particle size and dispersion on the electrical conductivity of LLDPE-carbon composite

Q3 Engineering

Journal of Applied Research and Technology Pub Date : 2024-02-29 DOI:10.22201/icat.24486736e.2024.22.1.2215

A. Zuhri, A. E. Pramono, I. Setyadi, A. Maksum, N. Indayaningsih

引用次数: 0

Abstract

This experimental research aimed to develop a conductive polymer composite (CPC) material for electromechanical devices. The composite was made by incorporating conductive micro carbon derived from rice husks into a Linear Low-Density Polyethylene (LLDPE) polymer matrix using hot compaction. Variations of filler composition were used, with carbon loading of 50%, 45%, and 40%, and mesh sizes of #150, #200, and #250. The experimental results showed that particle size variations did not significantly affect composite density, but higher mesh selection improved filler dispersion within the matrix, resulting in higher electrical conductivity values. The optimal conductivity value of 9.43E-04 S/cm was achieved with a micro-carbon composition of 50% loading. However, decreasing micro carbon loading had a more significant impact on reducing electrical conductivity values.

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微碳粒度和分散对低密度聚乙烯-碳复合材料导电性的影响

这项实验研究旨在开发一种用于机电设备的导电聚合物复合材料（CPC）。该复合材料是利用热压实技术将稻壳中提取的导电微碳加入线性低密度聚乙烯（LLDPE）聚合物基体中制成的。使用的填料成分各不相同，碳含量分别为 50%、45% 和 40%，网目尺寸分别为 #150、#200 和 #250。实验结果表明，颗粒大小的变化对复合材料密度的影响不大，但选择更高的网目尺寸可以改善填料在基体中的分散，从而提高导电率值。微碳含量为 50%时，最佳导电值为 9.43E-04 S/cm。然而，降低微碳含量对降低电导率值的影响更为显著。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Applied Research and Technology 工程技术-工程：电子与电气

CiteScore

1.50

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Applied Research and Technology (JART) is a bimonthly open access journal that publishes papers on innovative applications, development of new technologies and efficient solutions in engineering, computing and scientific research. JART publishes manuscripts describing original research, with significant results based on experimental, theoretical and numerical work. The journal does not charge for submission, processing, publication of manuscripts or for color reproduction of photographs. JART classifies research into the following main fields: -Material Science: Biomaterials, carbon, ceramics, composite, metals, polymers, thin films, functional materials and semiconductors. -Computer Science: Computer graphics and visualization, programming, human-computer interaction, neural networks, image processing and software engineering. -Industrial Engineering: Operations research, systems engineering, management science, complex systems and cybernetics applications and information technologies -Electronic Engineering: Solid-state physics, radio engineering, telecommunications, control systems, signal processing, power electronics, electronic devices and circuits and automation. -Instrumentation engineering and science: Measurement devices (pressure, temperature, flow, voltage, frequency etc.), precision engineering, medical devices, instrumentation for education (devices and software), sensor technology, mechatronics and robotics.