软孔电容式传感器的机电性能

M. Totaro, L. Beccai
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引用次数: 5

摘要

软触觉传感器是实现软机器人感知的核心部件。它们的性能可以在微观尺度上通过材料和结构的机电特性来调整。本文采用二维有限元模拟的方法,研究了多孔介质软容性压力传感器的性能。特别是,从力学的角度来看,它显示了表观杨氏模量是如何随着孔隙率的增加而降低的。然后,讨论了不同孔隙度下初始电容和输出特性的变化,表明模拟结构的灵敏度可以显著提高,孔隙度在30%左右时,灵敏度提高了10倍。从经验或简化的分析表达式在文献中发现的偏差显示和讨论。
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Electromechanical behavior of soft porous capacitive sensors
Soft tactile sensors are core components for enabling soft robots perception. Their performance can be tuned shaping the electromechanical characteristics of their materials and structure at the microscale. In this work, the behavior of soft capacitive pressure sensors, based on porous dielectric material, is studied by means of 2D FEM simulations. In particular, from the mechanical point of view, it is shown how the apparent Young's modulus decreases with increasing porosity. Then, the variation of initial capacitance and the output characteristics with different level of porosity is discussed, showing that the sensitivity in the simulated structure can improve remarkably, with a tenfold increase for porosity around 30%. Deviations from empirical or simplified analytical expression found in the literature are shown and discussed.
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