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孔隙体积对聚氨酯泡沫基压力传感器性能的影响

The Effect of Pore Volume on the Behavior of Polyurethane-Foam-Based Pressure Sensors.

作者信息

Nabeel Mohammed, Varga Miklós, Kuzsella László, Fiser Béla, Vanyorek László, Viskolcz Béla

机构信息

Institute of Chemistry, University of Miskolc, 3515 Miskolc-Egyetemváros, Hungary.

Ministry of Science and Technology-Materials Research Directorate, Baghdad 10011, Iraq.

出版信息

Polymers (Basel). 2022 Sep 2;14(17):3652. doi: 10.3390/polym14173652.

Abstract

In this work, three different polyurethane (PU) foams were prepared by mixing commonly used isocyanate and polyol with different isocyanate indices (1.0:0.8, 1.0:1.0, 1.0:1.1). Then, the prepared polyurethane foam samples were coated by dip-coating with a fixed ratio of nitrogen-doped, bamboo-shaped carbon nanotubes (N-BCNTs) to obtain pressure sensor systems. The effect of the isocyanate index on the initial resistance, pressure sensitivity, gauge factor (GF), and repeatability of the N-BCNT/PU pressure sensor systems was studied. The pore volume was crucial in finetuning the PU-foam-based sensors ability to detect large strain. Furthermore, large pore volume provides suitable spatial pores for elastic deformation. Sensors with large pore volume can detect pressure of less than 3 kPa, which could be related to their sensitivity in the high range. Moreover, by increasing the pore volume, the electrical percolation threshold can be achieved with a minimal addition of nanofillers. On the other hand, PU with a smaller pore volume is more suitable to detect pressure above 3 kPa. The developed sensors have been successfully applied in many applications, such as motion monitoring and vibration detection.

摘要

在这项工作中,通过将常用的异氰酸酯和多元醇以不同的异氰酸酯指数(1.0:0.8、1.0:1.0、1.0:1.1)混合,制备了三种不同的聚氨酯(PU)泡沫。然后,通过浸涂法用固定比例的氮掺杂竹状碳纳米管(N-BCNTs)对制备的聚氨酯泡沫样品进行涂覆,以获得压力传感器系统。研究了异氰酸酯指数对N-BCNT/PU压力传感器系统的初始电阻、压力灵敏度、应变片系数(GF)和重复性的影响。孔隙体积对于微调基于PU泡沫的传感器检测大应变的能力至关重要。此外,大孔隙体积为弹性变形提供了合适的空间孔隙。孔隙体积大的传感器能够检测小于3 kPa的压力,这可能与其在高量程下的灵敏度有关。此外,通过增加孔隙体积,只需添加少量纳米填料就能达到电渗流阈值。另一方面,孔隙体积较小的PU更适合检测高于3 kPa的压力。所开发的传感器已成功应用于许多领域,如运动监测和振动检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc0b/9459917/9ae247e2ad28/polymers-14-03652-g001.jpg

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