Abstract
Silicone, a commonly used household and construction adhesive, filler, or sealant, is also known for its flexibility, thermal stability, and insulating properties. It is viable as a conformally 3D-printed elastomeric matrix for flexible electronics and biomedical applications. Since most of the popular 3D printing methods use precise print specifications and defined resolution, this study explored the 3D printability of commercial silicone adhesives via a paste extrusion setup. Its viscoelastic and composition properties including the dimensional accuracy and mechanical properties of printed objects using controlled print parameters have been investigated. These experimental processes in 3D printing should pave the way in using materials originally intended for household use. Graphical Abstract: [Figure not available: see fulltext.]
Original language | English |
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Pages (from-to) | 102-110 |
Number of pages | 9 |
Journal | MRS Communications |
Volume | 13 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2023 |
Funding
The authors would like to thank the Case Western Reserve University and the Department of Science and Technology—Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) for the support grant that fueled our research efforts on the area of additive manufacturing. The authors also gratefully acknowledge funding from the Governor’s Chair Funds, University of Tennessee system and the Center for Materials Processing (CMP)-TCE. Technical support from Malvern Panalytical, Frontier Laboratories and Quantum Analytics is gratefully acknowledged. Part of this work was conducted by ORNL’s Center for Nanophase Materials Sciences by R.C. Advincula, which is a US Department of Energy Office of Science User Facility. The authors would like to thank the Case Western Reserve University and the Department of Science and Technology—Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) for the support grant that fueled our research efforts on the area of additive manufacturing. The authors also gratefully acknowledge funding from the Governor’s Chair Funds, University of Tennessee system and the Center for Materials Processing (CMP)-TCE. Technical support from Malvern Panalytical, Frontier Laboratories and Quantum Analytics is gratefully acknowledged. Part of this work was conducted by ORNL’s Center for Nanophase Materials Sciences by R.C. Advincula, which is a US Department of Energy Office of Science User Facility.