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Updated: Jul 8, 2025

Production of a Strain-Measuring Device with an Improved 3D Printer
Published on: January 30, 2020
One-Shot 3D Printed Soft Device Actuated Using Metal-Filled Channels and Sensed with Embedded Strain Gauge.
Antonio Pavone1,2, Gianni Stano1,2, Gianluca Percoco1,2
1Department of Mechanics, Mathematics and Management, Polytechnic of Bari, Bari, Italy.
This study introduces a novel, single-step 3D printing method for soft electromagnetic actuators using multimaterial extrusion. The innovative technique enables integrated sensors and scalable fabrication for advanced soft robotics.
Area of Science:
- Robotics
- Materials Science
- Additive Manufacturing
Background:
- Current multimaterial extrusion (M-MEX) techniques are underutilized for soft electromagnetic (EM) actuator manufacturing.
- Traditional methods involve multiple assembly steps, limiting efficiency and scalability.
Purpose of the Study:
- To demonstrate a novel, single-step fabrication of a soft EM actuator using M-MEX.
- To integrate internal channels filled with liquid metal and an embedded strain gauge for sensing capabilities.
- To showcase the scalability and potential of this approach for advanced soft robotic applications.
Main Methods:
- Utilized multimaterial extrusion (M-MEX) 3D printing technology.
- Fabricated a soft EM actuator with internal channels filled with liquid metal (Galinstan).
- Integrated a strain gauge sensor within the actuator structure for real-time monitoring.
Main Results:
- Achieved a one-step fabrication process for a smart soft EM actuator.
- Demonstrated a bending angle of 22.4° at 4A with a relative error of 0.7%.
- Recorded a high sensor sensitivity of 49.7 and presented examples of a soft robot and a dual-finger actuator.
Conclusions:
- The proposed M-MEX approach offers a scalable, efficient method for fabricating integrated soft EM actuators.
- This technology enables advancements in soft robotics, offering advantages like portability and reduced system complexity.
- The developed actuators show significant potential for next-generation soft robotic systems.
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