December 1 - 6, 2024
Boston, Massachusetts
Symposium Supporters
2024 MRS Fall Meeting & Exhibit
PM02.02.03

3D Printing of PEDOT:PSS Based Photoresin for Manufacturing Metastructure Architected Pressure Sensors with High Sensitivity

When and Where

Dec 2, 2024
2:00pm - 2:15pm
Sheraton, Second Floor, Constitution A

Presenter(s)

Co-Author(s)

Ozan Karakaya1,2,Naroa Lopez-Larrea3,Ali Tunc1,2,Mikel Rincón Iglesias1,2,4,David Mecerreyes3,5,Miryam Criado-Gonzalez3,Gerardo Hernandez-Sosa1,2

Karlsruhe Institute of Technology1,InnovationLab2,University of the Basque Country3,BCMaterials, Basque Center Centre for Materials, Applications and Nanostructures, UPV/EHU4,Basque Foundation for Science5

Abstract

Ozan Karakaya1,2,Naroa Lopez-Larrea3,Ali Tunc1,2,Mikel Rincón Iglesias1,2,4,David Mecerreyes3,5,Miryam Criado-Gonzalez3,Gerardo Hernandez-Sosa1,2

Karlsruhe Institute of Technology1,InnovationLab2,University of the Basque Country3,BCMaterials, Basque Center Centre for Materials, Applications and Nanostructures, UPV/EHU4,Basque Foundation for Science5
There is a growing demand for flexible pressure sensors designed to meet the requirements of a wide range of applications, such as wearable electronics and robotics.<sup>[1]</sup> Compared with traditional templates, pressure sensors utilizing 3D metastructure designs can offer high sensitivity, wide sensing range, design flexibility, and adjustable performance.<sup>[2]</sup> However, manufacturing these multifunctional micro-detailed structures can be challenging, as it requires additional steps to cast the active material onto the printed structures.<br/>Here, we utilize a PEDOT:PSS based photoresin to 3D print body-centered cubic lattice-based pressure sensors.<sup>[3]</sup> Using this photoresin in a DLP printer enables the manufacturing of conductive PEDOT:PSS polymer composites with high resolution (27 µm planar and 50 µm thickness) in a single step, eliminating the need for additional processes. As for the sensor design, body-centered cubic lattices are chosen due to their adjustable mechanical properties, which can help in fine-tuning the device's conductivity under applied stress.<br/>Sensors were characterized by applying compression onto samples while recording the corresponding displacement and electrical resistance. The resistance response was defined as ΔR/R<sub>0</sub>= (R<sub>0</sub> − R)/R<sub>0</sub>, where R and R<sub>0</sub> represent the resistance with and without compressive stress, respectively. The sensor with 30% relative density has a Young’s Moduli of 0.21 MPa and it can be adjusted by varying the relative density, as evidenced by sensors with 40% and 20% relative densities exhibiting Young’s Moduli of 0.61 MPa and 0.07 MPa, respectively. Moreover, the sensor with 30% relative density exhibited an instant response to pressure, showing a dramatic increase in ΔR/R<sub>0</sub> of 0.96 within the pressure range of 0-10 kPa. The sensitivity of the sensor was measured 0.86 kPa<sup>-1</sup> at 0-0.5 kPa, 0.19 kPa<sup>-1</sup> at 1-2 kPa, and 0.01 kPa<sup>-1</sup> at 2-10 kPa range, demonstrating its capability to operate effectively across different pressure ranges. This process has been visualized by connecting the sensor in a circuit where the LED illuminates upon applying pressure to the sensor. The intensity of the light increases with additional pressure, indicating a decrease in electrical resistance.<br/>In the future, we plan to print various lattice designs with different mechanical properties including anisotropic characteristics to manufacture sensors with a large range of sensitivities. Manufactured sensors will be used in proof of concept applications in pressure mapping or directional pressure sensing.<br/><br/>[1] Li, et al.<i> J. Mater. Chem. C</i>, 2018, 6, 11878-11892.<br/>[2] Zhao, et al. <i>Adv. Eng. Mater. </i>2023, 25, 2301056.<br/>[3] Lopez Larrea, et al.<i> ACS Appl. </i><i>Polym. Mater. </i>2022, 4, 6749−6759.

Keywords

3D printing

Symposium Organizers

Grace Gu, University of California, Berkeley
Yu Jun Tan, National University of Singapore
Ryan Truby, Northwestern University
Daryl Yee, École Polytechnique Fédérale de Lausanne

Session Chairs

Yu Jun Tan
Daryl Yee

In this Session