3D Printed Silicones with Shape Memory
Abstract
Direct ink writing enables the layer-by-layer manufacture of ordered, porous structures whose mechanical behavior is driven by architecture and material properties. We incorporate two different gas filled microsphere pore formers to evaluate the effect of shell stiffness and Tg on compressive behavior and compression set in siloxane matrix printed structures. The lower Tg microsphere structures exhibit substantial compression set when heated near and above Tg, with full structural recovery upon reheating without constraint. Conversely, the higher Tg microsphere structures exhibit reduced compression set with no recovery upon reheating. Aside from their role in tuning the mechanical behavior of direct ink write structures, polymer microspheres are good candidates for shape memory elastomers requiring structural complexity, with potential applications toward tandem shape memory polymers.
- Authors:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Materials Engineering Division
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Materials Science Division
- Honeywell, Materials Engineering, Kansas City, MO (United States). Department of Energys National Security Campus
- Publication Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1395481
- Alternate Identifier(s):
- OSTI ID: 1417275
- Report Number(s):
- LLNL-JRNL-716517
Journal ID: ISSN 2045-2322; PII: 4663
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Scientific Reports
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: 1; Journal ID: ISSN 2045-2322
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; Materials for devices; Polymers; Structural materials; materials for device; polymers; structural materials
Citation Formats
Wu, Amanda S., Small IV, Ward, Bryson, Taylor M., Cheng, Emily, Metz, Thomas R., Schulze, Stephanie E., Duoss, Eric B., and Wilson, Thomas S. 3D Printed Silicones with Shape Memory. United States: N. p., 2017.
Web. doi:10.1038/s41598-017-04663-z.
Wu, Amanda S., Small IV, Ward, Bryson, Taylor M., Cheng, Emily, Metz, Thomas R., Schulze, Stephanie E., Duoss, Eric B., & Wilson, Thomas S. 3D Printed Silicones with Shape Memory. United States. https://doi.org/10.1038/s41598-017-04663-z
Wu, Amanda S., Small IV, Ward, Bryson, Taylor M., Cheng, Emily, Metz, Thomas R., Schulze, Stephanie E., Duoss, Eric B., and Wilson, Thomas S. Wed .
"3D Printed Silicones with Shape Memory". United States. https://doi.org/10.1038/s41598-017-04663-z. https://www.osti.gov/servlets/purl/1395481.
@article{osti_1395481,
title = {3D Printed Silicones with Shape Memory},
author = {Wu, Amanda S. and Small IV, Ward and Bryson, Taylor M. and Cheng, Emily and Metz, Thomas R. and Schulze, Stephanie E. and Duoss, Eric B. and Wilson, Thomas S.},
abstractNote = {Direct ink writing enables the layer-by-layer manufacture of ordered, porous structures whose mechanical behavior is driven by architecture and material properties. We incorporate two different gas filled microsphere pore formers to evaluate the effect of shell stiffness and Tg on compressive behavior and compression set in siloxane matrix printed structures. The lower Tg microsphere structures exhibit substantial compression set when heated near and above Tg, with full structural recovery upon reheating without constraint. Conversely, the higher Tg microsphere structures exhibit reduced compression set with no recovery upon reheating. Aside from their role in tuning the mechanical behavior of direct ink write structures, polymer microspheres are good candidates for shape memory elastomers requiring structural complexity, with potential applications toward tandem shape memory polymers.},
doi = {10.1038/s41598-017-04663-z},
journal = {Scientific Reports},
number = 1,
volume = 7,
place = {United States},
year = {Wed Jul 05 00:00:00 EDT 2017},
month = {Wed Jul 05 00:00:00 EDT 2017}
}
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