Mechanical capabilities of semi-rigid thermoplastics ABS and PLA from 3D printing
Bibliographic record
Abstract
The use of 3D printing is more common in industries, such as textiles, food, aeronautics, automotive, medicine and others, because of its great versatility during the manufacturing process generation of elements or components with high geometric complexity in relatively short time at low cost. This study presents the characterisation of semi-rigid acrylonitrile-butadiene-styrene (ABS) and polylactic acid (PLA), which was obtained using both of additive manufacturing and specifically the molten material deposition method. The semi-rigid samples were made with five different infill patterns in their interiors: triangle, square, pentagon, and circles. The samples were subjected to tensile and bending tests, which allowed the evaluation of the yield strength, ultimate tensile strength, deformation and modulus of elasticity. Also, ASTM D638-14 and ASTM D790-10 norms were used for methodology validation. The results determined that the distribution of concentric circles with 7,964 MPa/g and 12,234 MPa/g was the best for PLA and the square with 8.82 MPa/g and 8,994 MPa/g was the best for ABS respectively.
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) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".