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      2D and 3D-printing of self-healing gels: design and extrusion of self-rolling objects

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          Abstract

          2D & 3D-printing of self-healing gels enable selective deposition of protective coatings and advanced manufacturing of self-rolling, dynamic objects.

          Abstract

          In this work, we report the synthesis, characterization and three-dimensional (3D) printing of self-healing gels. The gels are prepared by cross-linking benzaldehyde-functionalized poly(2-hydroxyethyl methacrylate) (PHEMA) with ethylenediamine (EDA) to form dynamic imine bonds. An immediate gelation was observed within seconds, followed by a full maturation, enabling time independent and stable printing. The self-healing gels showed 98% recovery from mechanical damages. To establish a printable window for our well-defined system, and to allow robust printability, we examined a broad number of ink formulations. To tune the rheology towards the formation of soft and extrudable, yet stable and self-supporting materials, we examined self-healing gels with controlled degrees of cross-linking and polymer concentrations. Single-layer patterns and self-healing objects with tunable layer thicknesses and shapes were successfully 3D-printed, with their self-healing capabilities fully retained. After post-printing reinforcement by further imine cross-linking, the swelling properties of these 3D-printed functional structures were employed for the fabrication of self-rolling, dynamic objects. These self-healing “smart” objects could change their shape and axes of folding by sensing their chemical environment.

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          Most cited references32

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          Embedded 3D printing of strain sensors within highly stretchable elastomers.

          A new method, embedded-3D printing (e-3DP), is reported for fabricating strain sensors within highly conformal and extensible elastomeric matrices. e-3DP allows soft sensors to be created in nearly arbitrary planar and 3D motifs in a highly programmable and seamless manner. Several embodiments are demonstrated and sensor performance is characterized. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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            Printing soft matter in three dimensions.

            Light- and ink-based three-dimensional (3D) printing methods allow the rapid design and fabrication of materials without the need for expensive tooling, dies or lithographic masks. They have led to an era of manufacturing in which computers can control the fabrication of soft matter that has tunable mechanical, electrical and other functional properties. The expanding range of printable materials, coupled with the ability to programmably control their composition and architecture across various length scales, is driving innovation in myriad applications. This is illustrated by examples of biologically inspired composites, shape-morphing systems, soft sensors and robotics that only additive manufacturing can produce.
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              Evaluation of 3D printing and its potential impact on biotechnology and the chemical sciences.

              Nearing 30 years since its introduction, 3D printing technology is set to revolutionize research and teaching laboratories. This feature encompasses the history of 3D printing, reviews various printing methods, and presents current applications. The authors offer an appraisal of the future direction and impact this technology will have on laboratory settings as 3D printers become more accessible.
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                Author and article information

                Journal
                MSDEBG
                Molecular Systems Design & Engineering
                Mol. Syst. Des. Eng.
                Royal Society of Chemistry (RSC)
                2058-9689
                2017
                2017
                : 2
                : 3
                : 283-292
                Affiliations
                [1 ]Department of Chemical and Biomolecular Engineering
                [2 ]The University of Melbourne
                [3 ]Parkville
                [4 ]Australia
                Article
                10.1039/C7ME00023E
                704ffffb-a508-40b8-b1fd-9e690b2b96cb
                © 2017
                History

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