Abstract
Improved materials designed specifically for 3D printing are required before the technology becomes ubiquitous; however, trial and error printing parameter development is hindering progress. We describe an innovative Raman data analysis method to map conversion through cross-sectioned 3D printed layers. The method alleviates two common complications present in Raman spectroscopy, varying baselines and normalization of spectra, resulting in high quality chemical maps showing the monomer to polymer conversion profile throughout a 3D printed part. The conversion profile is used to demonstrate the impact of "overlap"between slices (layer thickness) on the providing sufficient structural strength during printing while also maintaining resolution. A simple printing process using "infinite cure"to determine the layer thickness that can be cured to a sufficient level to become solid has been identified as a means to optimize photoinitiator and photoabsorber levels, exposure, and time.
| Original language | English |
|---|---|
| Pages (from-to) | 200-209 |
| Number of pages | 10 |
| Journal | ACS Applied Polymer Materials |
| Volume | 4 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 14 Jan 2022 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- 3D printing
- cure-depth profile
- digital layer projection
- process optimization
- Raman
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