Department of Mechanical Engineering, The University of Maryland, Baltimore County, Baltimore, MD 21250, USA.
Sensors (Basel). 2018 Oct 24;18(11):3614. doi: 10.3390/s18113614.
In this work, a large deformation, non-linear semi-analytical model for an all-elastomer, capacitive tactile unit-sensor is developed. The model is capable of predicting the response of such sensors over their entire sensing range under the application of normal forces. In doing so the finite flat punch indentation model developed earlier is integrated with a capacitance model to predict the change-in-capacitance as a function of applied normal forces. The empirical change-in-capacitance expression, based on the parallel plate capacitance model, is developed to account for the fringe field and saturation effects. The elastomeric layer used as a substrate in these sensors is modeled as an incompressible, non-linear, hyperelastic material. More specifically, the two term Mooney-Rivlin strain energy function is used as a constitutive response to relate the stresses and strains. The developed model assumes both geometrical as well as material non-linearity. Based on the related experimental work presented elsewhere, the inverse analysis, combining finite element (FE) modeling and non-linear optimization, is used to obtain the Mooney-Rivlin material parameters. Finally, to validate the model developed herein the model predictions are compared to the experimental results obtained elsewhere for four different tactile sensors. Great agreements are found to exist between the two which shows the model capabilities in capturing the response of these sensors. The model and methodologies developed in this work, may also help advancing bio-material studies in the determination of biological tissue properties.
在这项工作中,开发了一种适用于全弹性体、电容式触觉单元传感器的大变形、非线性半解析模型。该模型能够预测在施加法向力的情况下,这种传感器在整个传感范围内的响应。为此,将早期开发的有限平板压痕模型与电容模型集成在一起,以预测电容随施加法向力的变化。基于平行板电容模型,开发了经验性的电容变化表达式,以考虑边缘场和饱和效应。在这些传感器中用作基底的弹性体层被建模为不可压缩、非线性、超弹性材料。更具体地说,使用双参数 Mooney-Rivlin 应变能函数作为本构响应来关联应力和应变。所开发的模型假设存在几何和材料非线性。基于其他地方提出的相关实验工作,采用有限元 (FE) 建模和非线性优化的逆分析来获得 Mooney-Rivlin 材料参数。最后,为了验证本文所开发的模型,将模型预测与其他地方获得的四个不同触觉传感器的实验结果进行了比较。发现两者之间存在很好的一致性,这表明模型能够捕捉这些传感器的响应。这项工作中开发的模型和方法也可能有助于推进生物材料研究,以确定生物组织的特性。