journal article·2023-02Open access

Computationally Guided DIW Technology to Enable Robust Printing of Inks with Evolving Rheological Properties

Maria Luisa Lopez‐Donaire, Gonzalo de Aranda‐Izuzquiza, Sara Garzon‐Hernandez, Javier Crespo‐Miguel, Miguel Fernandez‐de la Torre, Diego Velasco, Daniel Garcia‐Gonzalez

Advanced Materials Technologies· Volume 8· Issue 3

Abstract

Abstract Soft multifunctional materials allow for mechanical sensing or actuation as a response to multiple physical stimuli, while providing material stiffness that mimic soft biological tissues (≈1–10 kPa). One of the main bottlenecks in the state of the art relates to the difficulty for manufacturing complex shapes when using inks whose properties significantly change over the printing time. To overcome this issue, the implementation of a hybrid (theoretical‐experimental) framework that allows optimal printability of time‐dependent viscosity inks by using the direct ink writing technology. Although the rheological properties of the ink vary during printing time, a combination of theoretical and experimental methods provides evolving printing conditions that ensure efficient and robust printability over the process. The method removes the need of introducing additives to the ink. To enable this technology, an in‐house printer that provides flexibility to modulate the extrusion pressure over printing time is developed. The method is validated by manufacturing magnetorheological elastomers and conductive soft materials for specific bioengineering and soft electronics applications.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics · Dielectric materials and actuators

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

Affiliations

Department of Continuum Mechanics and Structural Analysis Universidad Carlos III de Madrid Avda. de la Universidad 30 Leganés Madrid 28911 Spain

Department of Bioengineering and Aerospace Engineering Universidad Carlos III de Madrid Avda. de la Universidad 30 Leganés Madrid 28911 Spain

Funding

H2020 European Research Council · Comunidad de Madrid

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