A Rheological test method for determining the printability zone of cementitious 3D printers
Bibliographic record
Abstract
This study establishes a standardized methodology for defining the printability zone of a manually fed extruder using a delta 3D printer. Portland cement-based reference materials were prepared by varying the water-cement ratios from 0.32 to 0.36 and superplasticizer content ranging from 0.1 to 0.5 percent. A successful 3D model was designed based on the printer and extruder specifications and transferred to the 3D printer using Geometric Code (G-Code). The controlled Shear Stress (CSS) method was employed to determine the rheological properties of all mixtures, such as static yield stress and viscosity at a critical shear rate of 0.02 s -1 . Concurrently, the printability factors - extrudability, shape retention, and minimum buildability were studied and evaluated. The results revealed that nozzle diameter significantly affects shape retention behaviour. Reducing the nozzle diameter to 6 mm increased the velocity at the nozzle tip, resulting in wider extrusions and is unsuitable for 3D printing. Conversely, the 8 mm nozzle with an 8 mm layer height encountered challenges extruding materials and underwent excessive plastic deformation; however, the 4 mm layer height allowed for printing a wide range of rheological properties. The printability zone was determined based on four limits: minimum and maximum printable yield stresses and minimum and maximum printable viscosities. Ultimately, a plot correlating yield stresses and viscosities with printability factors was created to determine the printability zone of the 8 mm nozzle with 4 mm and 8 mm layer height for the manual feeding extruder.
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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 | 0.001 | 0.001 |
| 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".