journal article·2019-06

Three-dimensional printed embedded channel–based resistive strain sensor: Fabrication and experimental characterization

Austin Smith, SM Mahdi Mofidian, Hamzeh Bardaweel

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Abstract

This work explores the feasibility of commercially available elastic filament and desktop fused deposition modeling three-dimensional printing as a simple and cost-effective route to develop flexible sensors. The fabricated sensor consists of a three-dimensional printed flexible substrate with embedded U-shaped channels that are filled with Galinstan (Ga 68.5% In 21.5% Sn 10%) liquid metal conductor. When the sensor is strained, the cross-sectional area of the channels decreases causing a reduction in the conducting area and, therefore, a change in resistance. First, sensors measuring approximately 2100 μm by 200 μm are fabricated. Results demonstrate gauge factors of approximately 2.1 at 38.8% strain with high linearity and little hysteresis. In addition, smaller strain sensors, measuring approximately 696 µm by 203 µm, are fabricated with gauge factors of nearly 1.0 at 13.2% strain. Results show that substrate relaxation plays an essential role in determining the functionality of these sensors. The Mullins effect largely influences the recovery properties of the rubber-like sensor substrate. This leads to a noticeable relaxation in the substrate during cyclic loading. The results demonstrate the potential of commercially available fused deposition modeling three-dimensional printing technology and filaments to produce complex designs and sensor platforms.
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Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Additive Manufacturing and 3D Printing Technologies · Adhesion, Friction, and Surface Interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute for Micromanufacturing, College of Engineering and Science, Louisiana Tech University, Ruston, LA, USA

Department of Mechanical Engineering, College of Engineering and Science, Louisiana Tech University, Ruston, LA, USA

Department of Nanosystems Engineering, College of Engineering and Science, Louisiana Tech University, Ruston, LA, USA

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