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一种含有轻质矿物油和磁铁矿纳米颗粒的棉织物复合材料:磁场和均匀压缩对电导率的影响。

A Cotton Fabric Composite with Light Mineral Oil and Magnetite Nanoparticles: Effects of a Magnetic Field and Uniform Compressions on Electrical Conductivity.

作者信息

Iacobescu Gabriela-Eugenia, Bunoiu Madalin, Bica Ioan, Sfirloaga Paula, Chirigiu Larisa-Marina-Elisabeth

机构信息

Department of Physics, University of Craiova, 200585 Craiova, Romania.

Faculty of Physics, West University of Timisoara, 300223 Timisoara, Romania.

出版信息

Micromachines (Basel). 2023 May 25;14(6):1113. doi: 10.3390/mi14061113.

DOI:10.3390/mi14061113
PMID:37374698
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10302341/
Abstract

Over the past few decades, tactile sensors have become an emerging field of research with direct applications in the area of biomedical engineering. New types of tactile sensors, called magneto-tactile sensors, have recently been developed. The aim of our work was to create a low-cost composite whose electrical conductivity depends on mechanical compressions that can be finely tuned using a magnetic field for magneto-tactile sensor fabrication. For this purpose, 100% cotton fabric was impregnated with a magnetic liquid (EFH-1 type) based on light mineral oil and magnetite particles. The new composite was used to manufacture an electrical device. With the experimental installation described in this study, we measured the electrical resistance of an electrical device placed in a magnetic field in the absence or presence of uniform compressions. The effect of uniform compressions and the magnetic field was the induction of mechanical-magneto-elastic deformations and, as a result, variations in electrical conductivity. In a magnetic field with a flux density of 390 mT, in the absence of mechanical compression forces, a magnetic pressure of 5.36 kPa was generated, and the electrical conductivity increased by 400% compared to that of the composite in the absence of a magnetic field. Upon increasing the compression force to 9 N, in the absence of a magnetic field, the electrical conductivity increased by about 300% compared to that of the device in the absence of compression forces and a magnetic field. In the presence of a magnetic flux density of 390 mT, and when the compression force increased from 3 N to 9 N, the electrical conductivity increased by 2800%. These results suggest the new composite is a promising material for magneto-tactile sensors.

摘要

在过去几十年里,触觉传感器已成为一个新兴的研究领域,在生物医学工程领域有直接应用。最近开发出了一种新型触觉传感器,称为磁触觉传感器。我们工作的目的是制造一种低成本复合材料,其电导率取决于机械压缩,并且可以通过磁场进行微调,用于制造磁触觉传感器。为此,将100%的棉织物浸渍在一种基于轻质矿物油和磁铁矿颗粒的磁性液体(EFH-1型)中。这种新型复合材料被用于制造一种电气装置。通过本研究中描述的实验装置,我们测量了置于磁场中的电气装置在有无均匀压缩情况下的电阻。均匀压缩和磁场的作用是诱发机械-磁-弹性变形,结果导致电导率发生变化。在磁通密度为390 mT的磁场中,在没有机械压缩力的情况下,产生了5.36 kPa的磁压力,与无磁场时复合材料的电导率相比,电导率增加了400%。在无磁场情况下,当压缩力增加到9 N时,与无压缩力和磁场时装置的电导率相比,电导率增加了约300%。在磁通密度为390 mT的情况下,当压缩力从3 N增加到9 N时,电导率增加了2800%。这些结果表明这种新型复合材料是用于磁触觉传感器的一种很有前景的材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/2a978b4482bc/micromachines-14-01113-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/d824fd1cc5cc/micromachines-14-01113-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/6f9e4c94222a/micromachines-14-01113-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/f7fa0a75a0f4/micromachines-14-01113-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/2b35a5e9bef1/micromachines-14-01113-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/57e5b0c1f184/micromachines-14-01113-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/c877e493d47a/micromachines-14-01113-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/30150f6370ac/micromachines-14-01113-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/c76d45f90e9b/micromachines-14-01113-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/798e626e0e8b/micromachines-14-01113-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/1734d22b3c30/micromachines-14-01113-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/ef6a78823215/micromachines-14-01113-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/2a978b4482bc/micromachines-14-01113-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/d824fd1cc5cc/micromachines-14-01113-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/6f9e4c94222a/micromachines-14-01113-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/f7fa0a75a0f4/micromachines-14-01113-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/2b35a5e9bef1/micromachines-14-01113-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/57e5b0c1f184/micromachines-14-01113-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/c877e493d47a/micromachines-14-01113-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/30150f6370ac/micromachines-14-01113-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/c76d45f90e9b/micromachines-14-01113-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/798e626e0e8b/micromachines-14-01113-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/1734d22b3c30/micromachines-14-01113-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/ef6a78823215/micromachines-14-01113-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ce2/10302341/2a978b4482bc/micromachines-14-01113-g012.jpg

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