Impact analysis on non-planar 3D-printed FFF parts
Bibliographic record
Abstract
This study investigates the Charpy impact resistance of non-planar 3D-printed parts manufactured by fused filament fabrication (FFF). Traditional planar slicing introduces anisotropy and layer delamination, leading to suboptimal mechanical properties. Non-planar slicing methods, such as sinusoidal and bell-shaped patterns, offer promising enhancements by optimizing layer alignment and stress distribution. Five sample variations were designed using FullControl GCode Designer and tested following ASTM D6110 standards. Results indicate a significant improvement in impact strength for vertically oriented non-planar specimens, with up to 50% greater resistance than planar counterparts, as well as reduced anisotropy when comparing horizontally and vertically fabricated parts. This work highlights the potential of non-planar slicing for reducing anisotropy and improving the structural integrity of FFF parts, offering insights for industrial applications requiring tougher 3D-printed components.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.061 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".