A mapped conductive network model on the simulation of aligned CNT/PDMS flexible pressure sensor piezoresistivity

IF 8.1 2区材料科学 Q1 ENGINEERING, MANUFACTURING Composites Part A: Applied Science and Manufacturing Pub Date : 2025-01-27 DOI:10.1016/j.compositesa.2025.108750

Alireza Alidoust , Mojtaba Haghgoo , Reza Ansari , Mohammad Kazem Hassanzadeh-Aghdam , Sung-Hwan Jang

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Abstract

The piezoresistive sensitivity of aligned carbon nanotube (CNT)-elastomeric nanocomposites is investigated using a mapped conductive network model on finite element simulation. The study aims to investigate the sensor’s geometrical parameters, including shape and thickness, to enhance sensitivity under compressive load for applications requiring accurate pressure measurements. Substrates with different thicknesses and shapes are compressed to obtain the most efficient sensor structure including square, rectangular, and circular diaphragms. The developed strain field in the sensor as a result of indenter penetrating or uniform compressive pressure leads to the resistance change. The pertained resistivity to each maximum principal strain state is used directly from the conductive network model. The results disclose a good agreement with experimental data denoting improved sensitivity through bending of thinner sensors with square substrate. Results also reveal a decreased sensitivity for the rectangular indented substrates compared square substrates caused by more concentrated strain distribution during square substrate indentation.

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用映射导电网络模型模拟对准CNT/PDMS柔性压力传感器的压电阻率

采用映射导电网络模型对定向碳纳米管-弹性纳米复合材料的压阻灵敏度进行了有限元仿真研究。该研究旨在研究传感器的几何参数，包括形状和厚度，以提高在压缩载荷下需要精确压力测量的应用的灵敏度。不同厚度和形状的基板被压缩以获得最有效的传感器结构，包括方形，矩形和圆形隔膜。压头穿透或均匀压缩压力在传感器内形成应变场，导致电阻变化。每个最大主应变状态对应的电阻率直接来自于导电网络模型。结果与实验数据吻合较好，表明采用方形衬底的薄传感器弯曲后灵敏度得到了提高。结果还表明，与方形衬底相比，矩形衬底的灵敏度降低，这是由于方形衬底压痕过程中更集中的应变分布。

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来源期刊

Composites Part A: Applied Science and Manufacturing 工程技术-材料科学：复合

CiteScore

15.20

自引率

5.70%

发文量

492

审稿时长

30 days

期刊介绍： Composites Part A: Applied Science and Manufacturing is a comprehensive journal that publishes original research papers, review articles, case studies, short communications, and letters covering various aspects of composite materials science and technology. This includes fibrous and particulate reinforcements in polymeric, metallic, and ceramic matrices, as well as 'natural' composites like wood and biological materials. The journal addresses topics such as properties, design, and manufacture of reinforcing fibers and particles, novel architectures and concepts, multifunctional composites, advancements in fabrication and processing, manufacturing science, process modeling, experimental mechanics, microstructural characterization, interfaces, prediction and measurement of mechanical, physical, and chemical behavior, and performance in service. Additionally, articles on economic and commercial aspects, design, and case studies are welcomed. All submissions undergo rigorous peer review to ensure they contribute significantly and innovatively, maintaining high standards for content and presentation. The editorial team aims to expedite the review process for prompt publication.