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4D printing of semi-crystalline crosslinked polymer networks with two-way shape-memory effect

Lorenzo Bonetti, Daniele Natali, Stefano Pandini, Massimo Messori, Maurizio Toselli, Giulia Scalet

2024Materials & Design23 citationsDOIOpen Access PDF

Abstract

This paper introduces a novel approach to 4D printing tailored structures with reversible two-way shape memory effect (SME) through material extrusion technology. To this aim, methacrylated poly(ε-caprolactone) (PCL) was synthesized and evaluated from a rheological perspective to determine its suitability for extrusion-based printing. Following a printability assessment, an optimal set of parameters was identified to fabricate 3D structures, UV-crosslinked during printing. Subsequently, a physical and thermo-mechanical characterization of the printed structures was conducted to deepen the understanding of the fabrication process and properties of the obtained structures. To assess the shape memory properties of the printed structures, both the one-way and two-way SME under load were investigated. Overall, this study opens the floodgates to implementing 4D printing via material extrusion technology, specifically targeting PCL-based semi-crystalline chemically crosslinked polymer networks with two-way SME. Because of its cost-effectiveness, versatility, and user-friendly nature, extrusion-based printing offers noteworthy advantages over other additive manufacturing approaches when reversible behavior of the printed structures is needed. Lastly, a glimpse of potential 4D printed structures from PCL-based semi-crystalline chemically crosslinked polymer networks is presented. The approach described holds significant promise across multiple research and industrial domains, including but not limited to smart actuators, soft robotics, and medical devices.

Topics & Concepts

Materials scienceExtrusion3D printingFabricationShape-memory polymerPolymerRheologySoft roboticsScreen printingNanotechnologyActuatorSmart materialProcess (computing)Fused filament fabricationMechanical engineeringComputer scienceComposite materialArtificial intelligenceAlternative medicineMedicineEngineeringOperating systemPathologyPolymer composites and self-healingAdvanced Materials and MechanicsElectrospun Nanofibers in Biomedical Applications