Optimization of Highly Architectured Stereolithographic Microtrusses
Bibliographic record
Abstract
Stereolithography allows architectural freedom which can be used to fabricate optimal architectures with the potential for significant enhancements in structural efficiency. In this study, buckling behaviour of compressive struts is explored. Experimental failure stress values for stereolithographic polymer tubes are found to agree with existing predictive models for Euler and local shell buckling, validating the methodology. Experimental testing on a space frame compressive strut design proposed in literature reveals end constraints between fixed and free, and stereolithographic design freedom is considered to reduce over-engineered features, improving performance. Finally, a novel sandwich wall tubular strut design is introduced: experimental results show successful inhibition of local shell buckling while also enhancing Euler buckling performance (improvements of 45% and 30% in failure strength when compared to equal-mass simple tubes, respectively). A new failure mode termed “wall splitting” is identified, and a preliminary model is developed to predict the increases in failure stress.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".