Re-Printable, Self-Healing Polymer Networks
ORAL
Abstract
We report a versatile approach to designing 3D printable, re-processable dynamic covalent networks with controllable mechanical properties. The approach involves synthesis of epoxy-based oligomeric building blocks of controllable length which are then reversibly crosslinked using the Diels-Alder (DA) reaction. The networks demonstrate several features which are beneficial for additive manufacturing, such as reversible dissociation to liquids at temperatures above 110 oC and fast curing during fused deposition modeling. Moreover, DA reactivity of the precursor material improved interlayer adhesion during printing and enabled self-healing. Using this approach, a series of networks with glass transition temperatures controlled between -10 and 35 oC and the elastic moduli between 10 MPa and several GPa were demonstrated. Finally, the 3D printed networks exhibited shape-memory effects which are based on the stereochemical characteristics of DA adducts.
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Presenters
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Svetlana Sukhishvili
Materials Science and Engineering, Texas A&M University, Department of Materials Science and Engineering, Texas A&M University
Authors
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Svetlana Sukhishvili
Materials Science and Engineering, Texas A&M University, Department of Materials Science and Engineering, Texas A&M University
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Frank Gardea
Army Research Laboratory South, U.S. Army Combat Capabilities Development Command
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Qing Zhou
Department of Materials Science and Engineering, Texas A&M University