Fully Additively 3D Manufactured Conductive Deformable Sensors for Pressure Sensing

Bibliographic Details
Title: Fully Additively 3D Manufactured Conductive Deformable Sensors for Pressure Sensing
Authors: Carlo Massaroni, Loy Vitali, Daniela Lo Presti, Sergio Silvestri, Emiliano Schena
Source: Advanced Intelligent Systems, Vol 6, Iss 8, Pp n/a-n/a (2024)
Publisher Information: Wiley, 2024.
Publication Year: 2024
Collection: LCC:Computer engineering. Computer hardware
Subject Terms: 3D printing, additive manufacturing, conductive thermoplastic polyurethane, pressure sensors, wearable sensors, Computer engineering. Computer hardware, TK7885-7895, Control engineering systems. Automatic machinery (General), TJ212-225
More Details: Additive manufacturing technologies increasingly revolutionize current production techniques for object manufacturing. Particularly, fused deposition modeling (FDM) strongly impacts production processes by enabling the cost‐effective and efficient creation of structures with complex designs and innovative geometries. The use of conductive filaments in FDM printing is paving the way for the advancement of entirely printed sensors and circuits, although this domain is still in its early stages. In this article, the design and production of bilayer deformable pressure sensors fabricated using conductive thermoplastic polyurethane are investigated. The potential to vary the mechanical and electrical characteristics of FDM‐printed components by adjusting printing parameters is explored. The influence of different levels of material infill (20%, 50%, and 100%) and different contact geometries between layers (domes, pyramids, and cylinders) is studied. Electromechanical tests are carried out to characterize the sensor, applying pressures up to 22 kPa. The 3D‐printed pressure sensors demonstrate tunable mechanical and electrical sensitivities at different infill values, with the highest value of −6.3 kPa−1 achieved by using a pyramid layer at 100% infill. Sensor outputs registered during cyclic tests show reproducible responses with a wide range of sensitivity, paving the way for applicability in recording both static and periodic pressure changes.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2640-4567
Relation: https://doaj.org/toc/2640-4567
DOI: 10.1002/aisy.202300901
Access URL: https://doaj.org/article/3608648120a14e4b8c0496d8d78cadf9
Accession Number: edsdoj.3608648120a14e4b8c0496d8d78cadf9
Database: Directory of Open Access Journals
More Details
ISSN:26404567
DOI:10.1002/aisy.202300901
Published in:Advanced Intelligent Systems
Language:English