JOURNAL ARTICLE

A Stretchable Multimodal Sensor for Soft Robotic Applications

Abdul Sattar DinWei XuLeo K. ChengSteven Dirven

Year: 2017 Journal:   IEEE Sensors Journal Vol: 17 (17)Pages: 5678-5686   Publisher: IEEE Sensors Council

Abstract

This paper presents the design, fabrication, and characterization of a multimodal sensor with integrated stretchable meandered interconnects for uniaxial strain, pressure, and uniaxial shear stress measurements. It is designed based on a capacitive sensing principle for embedded deformable sensing applications. A photolithographic process is used along with laser machining and sheet metal forming technique to pattern sensor elements together with stretchable grid-based interconnects on a thin sheet of copper polyimide laminate as a base material in a single process. The structure is embedded in a soft stretchable Ecoflex and PDMS silicon rubber encapsulation. The strain, pressure, and shear stress sensors are characterized up to 9%, 25 kPa, and ±11 kPa of maximum loading, respectively. The strain sensor exhibits an almost linear response to stretching with an average sensitivity of -28.9 fF%-1. The pressure sensor, however, shows a nonlinear and significant hysteresis characteristic due to nonlinear and viscoelastic property of the silicon rubber encapsulation. An average best-fit straight line sensitivity of 30.9 fFkPa-1 was recorded. The sensitivity of shear stress sensor is found to be 8.1 fFkPa-1. The three sensing elements also demonstrate a good cross-sensitivity performance of 3.1% on average. This paper proves that a common flexible printed circuit board (PCB) base material could be transformed into stretchable circuits with integrated multimodal sensor using established PCB fabrication technique, laser machining, and sheet metal forming method.

Keywords:
Materials science Elastomer Capacitive sensing Pressure sensor Sensitivity (control systems) Natural rubber Fabrication Tactile sensor Composite material Optoelectronics Electronic engineering Mechanical engineering Electrical engineering Computer science Artificial intelligence Engineering

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58
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2.91
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32
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0.90
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Citation History

Topics

Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Advanced Fiber Optic Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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