An Investigation Into Fundamental Frequency Of Intact And Defective 3D-Printed PLA Beams
Bibliographic record
Abstract
<p>3D printing manufacturing method gains significant attractions from industries due to its advantages over other production methods. Polylactic Acid (PLA), a biodegradable feedstock in 3D printing and one of the major filaments in the market, is investigated. Impulse Excitation Technique (IET) is used to obtain Young’s modulus of 3D-printed PLA specimens. The results are then compared with those achieved through experimental tensile testing. Displacement laser sensors, attached on the vertical base along cantilever 3D printed PLA cantilever beam samples, are used to capture the fundamental flexural frequencies of the beams, and are compared with those obtained from ANSYS FEM models. The effect of through-the-thickness cracks on the fundamental frequency of the defective samples is also studied, both experimentally and numerically. Samples including deliberately printed cracks of different depths and locations were examined through experiment and simulation. Results showed that the crack distance from the fixed-end has a more pronounced effect on fundamental frequency than the crack size. Finally, variation of numerically calculated fundamental frequency of defective beam models vs. crack depth and location are presented, which could be used as a database and pave the road to more elaborate crack identification techniques. </p>
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".