| Abstract Scope |
3D printing has become accessible and inexpensive, and artificial intelligence has lowered the knowledge barrier to create designs. To mitigate novel attack vectors, the tracing of 3D prints must be improved. In this work, four filament brands were selected for their accessibility of purchasing and popularity. Samples from each brand were tested with gas chromatography-mass spectroscopy before and after printing. Ultimately, brand-specific chemical signatures were identified that could link unprinted and printed filament. This information is crucial to tracing harmful printed designs based on recovered unprinted filament. Future work should investigate whether these findings apply to other filament brands. |