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      Injection continuous liquid interface production of 3D objects

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          Abstract

          In additive manufacturing, it is imperative to increase print speeds, use higher-viscosity resins, and print with multiple different resins simultaneously. To this end, we introduce a previously unexplored ultraviolet-based photopolymerization three-dimensional printing process. The method exploits a continuous liquid interface—the dead zone—mechanically fed with resin at elevated pressures through microfluidic channels dynamically created and integral to the growing part. Through this mass transport control, injection continuous liquid interface production, or iCLIP, can accelerate printing speeds to 5- to 10-fold over current methods such as CLIP, can use resins an order of magnitude more viscous than CLIP, and can readily pattern a single heterogeneous object with different resins in all Cartesian coordinates. We characterize the process parameters governing iCLIP and demonstrate use cases for rapidly printing carbon nanotube–filled composites, multimaterial features with length scales spanning several orders of magnitude, and lattices with tunable moduli and energy absorption.

          Abstract

          Abstract

          iCLIP enables rapid creation of 3D complex objects with high-viscosity composite resins and multiple materials simultaneously.

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          Most cited references63

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          Additive manufacturing. Continuous liquid interface production of 3D objects.

          Additive manufacturing processes such as 3D printing use time-consuming, stepwise layer-by-layer approaches to object fabrication. We demonstrate the continuous generation of monolithic polymeric parts up to tens of centimeters in size with feature resolution below 100 micrometers. Continuous liquid interface production is achieved with an oxygen-permeable window below the ultraviolet image projection plane, which creates a "dead zone" (persistent liquid interface) where photopolymerization is inhibited between the window and the polymerizing part. We delineate critical control parameters and show that complex solid parts can be drawn out of the resin at rates of hundreds of millimeters per hour. These print speeds allow parts to be produced in minutes instead of hours.
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            Multimaterial 4D Printing with Tailorable Shape Memory Polymers

            We present a new 4D printing approach that can create high resolution (up to a few microns), multimaterial shape memory polymer (SMP) architectures. The approach is based on high resolution projection microstereolithography (PμSL) and uses a family of photo-curable methacrylate based copolymer networks. We designed the constituents and compositions to exhibit desired thermomechanical behavior (including rubbery modulus, glass transition temperature and failure strain which is more than 300% and larger than any existing printable materials) to enable controlled shape memory behavior. We used a high resolution, high contrast digital micro display to ensure high resolution of photo-curing methacrylate based SMPs that requires higher exposure energy than more common acrylate based polymers. An automated material exchange process enables the manufacture of 3D composite architectures from multiple photo-curable SMPs. In order to understand the behavior of the 3D composite microarchitectures, we carry out high fidelity computational simulations of their complex nonlinear, time-dependent behavior and study important design considerations including local deformation, shape fixity and free recovery rate. Simulations are in good agreement with experiments for a series of single and multimaterial components and can be used to facilitate the design of SMP 3D structures.
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              Voxelated soft matter via multimaterial multinozzle 3D printing

              There is growing interest in voxelated matter that is designed and fabricated voxel by voxel1-4. Currently, inkjet-based three-dimensional (3D) printing is the only widely adopted method that is capable of creating 3D voxelated materials with high precision1-4, but the physics of droplet formation requires the use of low-viscosity inks to ensure successful printing5. By contrast, direct ink writing, an extrusion-based 3D printing method, is capable of patterning a much broader range of materials6-13. However, it is difficult to generate multimaterial voxelated matter by extruding monolithic cylindrical filaments in a layer-by-layer manner. Here we report the design and fabrication of voxelated soft matter using multimaterial multinozzle 3D (MM3D) printing, in which the composition, function and structure of the materials are programmed at the voxel scale. Our MM3D printheads exploit the diode-like behaviour that arises when multiple viscoelastic materials converge at a junction to enable seamless, high-frequency switching between up to eight different materials to create voxels with a volume approaching that of the nozzle diameter cubed. As exemplars, we fabricate a Miura origami pattern14 and a millipede-like soft robot that locomotes by co-printing multiple epoxy and silicone elastomer inks of stiffness varying by several orders of magnitude. Our method substantially broadens the palette of voxelated materials that can be designed and manufactured in complex motifs.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: SoftwareRole: VisualizationRole: Writing - review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: Validation
                Role: ConceptualizationRole: MethodologyRole: Resources
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing - review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: ValidationRole: Writing - review & editing
                Role: ConceptualizationRole: Resources
                Role: InvestigationRole: MethodologyRole: Visualization
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: Methodology
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: VisualizationRole: Writing - review & editing
                Journal
                Sci Adv
                Sci Adv
                sciadv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                September 2022
                28 September 2022
                : 8
                : 39
                : eabq3917
                Affiliations
                [ 1 ]Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.
                [ 2 ]Department of Radiology, Stanford University, Stanford, CA 94305, USA.
                [ 3 ]Department of Mechanical Engineering, Sungkyunkwan University, Seoul, South Korea.
                [ 4 ]Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
                [ 5 ]Department of Mechanical Engineering, Product Design, Stanford University, Stanford, CA, 94305, USA.
                [ 6 ]Digital Light Innovations, Austin, TX 78728, USA.
                Author notes
                [* ]Corresponding author. Email: jmdesimone@ 123456stanford.edu
                Author information
                https://orcid.org/0000-0003-4869-6804
                https://orcid.org/0000-0002-7437-4908
                https://orcid.org/0000-0002-9585-0002
                https://orcid.org/0000-0002-8931-3956
                https://orcid.org/0000-0002-4678-3480
                https://orcid.org/0000-0002-8853-1505
                https://orcid.org/0000-0001-8241-2946
                https://orcid.org/0000-0002-1764-8634
                Article
                abq3917
                10.1126/sciadv.abq3917
                9519045
                36170357
                7ae241bd-2584-4f2b-b5ef-fc858d5eb006
                Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 April 2022
                : 12 August 2022
                Categories
                Research Article
                Physical and Materials Sciences
                SciAdv r-articles
                Engineering
                Custom metadata
                Nicole Falcasantos

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