Influence of thermal treatment on surface roughness, microstructural, and mechanical properties of 3D printed ABS
Bibliographic record
Abstract
Abstract. Additive manufacturing (AM) has been widely used for rapid prototyping (RP) techniques due to its low cost and customizability. This technique allows for rapid and competitive price production compared to conventional manufacturing. However, pieces fabricated with the AM technique usually possess poor mechanical and surface properties compared to the injection molding technique. Based on COALIA's recent patent, a thermal treatment approach was used to improve the performance of printed parts. In this study, acrylonitrile-butadiene-styrene (ABS) was printed using fused deposition modeling (FDM) with and without heat treatment at 35 mm/s of printing speed. The physical and mechanical properties of printed ABS parts were then investigated. Tensile tests were performed to investigate the tensile strength, elastic modulus, and elongation at break. After tensile tests, X-ray microtomography was conducted to evaluate the surface morphologies. An optical profilometer analysis was also used to measure the surface roughness.
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".