MRS Meetings and Events

 

SF06.02.02 2023 MRS Fall Meeting

Highly Compressible 3D-Printed Soft Magnetoelastic Sensor for Human-Machine Interfaces

When and Where

Nov 28, 2023
8:00pm - 10:00pm

Hynes, Level 1, Hall A

Presenter

Co-Author(s)

Suwoo Lee1,Hyeonseo Song1,Yeonwoo Jang1,Youn-Kyoung Baek2,Jiyun Kim1

UNIST1,Korea Institute of Materials Science2

Abstract

Suwoo Lee1,Hyeonseo Song1,Yeonwoo Jang1,Youn-Kyoung Baek2,Jiyun Kim1

UNIST1,Korea Institute of Materials Science2
Tactile sensors for human-machine interface (HMI), that convert mechanical stimuli into electrical signals, have gained great attention in various applications. In particular, self-powered soft sensors such as piezoelectric, triboelectric, and magnetoelastic soft sensors have shown great potential due to their safety, adaptability, and low production and maintenance costs. However, piezoelectric and triboelectric sensors have high internal impedance, which lowers the current flow, reducing the current density and the output power density. Furthermore, their output sensing performance is susceptible to humidity conditions of the surrounding environment, including even sweat on the skin. On the other hand, soft self-powered tactile sensor based on magnetoelastic mechanism has the potential to provide high output power density due to their high current density and more reliable output performance regardless of humidity.<br/>Here, we present highly compressible 3D-printed soft magnetoelastic sensors (H-MELS) by using 3D printing methods with sacrificial mold, which allow us to program the material, and mechanical properties of H-MELSs, influencing the mechanoelectrical converting performances of H-MELS. In addition, we developed elastomeric magnetic composite materials for a magnetic part and elastomeric electrical parts using a coiled-copper coil to fabricate H-MELSs. This strategy allows us to achieve highly scalable and compliant 3D architectures made of very compliant materials for 3D soft magnetoelastic sensors, and even integrate them into robotic systems as a robot operation units and robot’s perception units for practical Human-Machine Interface applications. We believe H-MELS with high compressibility in various form factors leads to significant advancements in design and manufacturing of self-powered soft sensors for human-machine interfaces.

Keywords

magnetic properties

Symposium Organizers

Yoav Matia, Ben-Gurion University
Robert Shepherd, Cornell University
Ryan Truby, Northwestern University
Huichan Zhao, Tsinghua University

Session Chairs

Yoav Matia
Ryan Truby

In this Session

SF06.02.02
Highly Compressible 3D-Printed Soft Magnetoelastic Sensor for Human-Machine Interfaces

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Imbibition-Induced Autonomous Wetting of Liquid Metal

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Droplet Micro-Robotic System with Generality of Liquid Types and Biocompatibility

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Soft Actuators Based on Liquid Crystal Elastomers and Laser-Induced Graphene

SF06.07.08
Effects of Crosslink Density on Photomechanical Jumping of Glassy Liquid Crystalline Polymer Networks

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