Development of palm oil-based fly ash powder-binder system for three-dimensional printing
Bibliographic record
Abstract
Three-dimensional printing (3DP) is one of the techniques in rapid prototyping (RP) technology which creates parts directly from graphical data computer and it is being widely used in diverse areas. However, the cost of the 3DP material is high and limited to a number of choices that can be used due to the restricted capabilities of the existing binder. This research aims to investigate the potential of the new powder-binder system for palm oil-based fly ash (POFA) for 3DP applications. The newly proposed material is a type of powder-binder system containing POFA powder, maltodextrin and polyvinyl alcohol (PVA) which was prepared thoroughly by three different techniques; mechanical mixing, ball milling and solution blending process. Certain mass percentage of POFA powder-binder system was successfully fabricated as a product of the 3DP of which distilled water was used as the binding material and followed by post-treatment with the Z Max solution in order to further improve their mechanical properties. The experimental results show that, by using solution blending process during material preparation of the POFA powder-binder system is able to achieve good tensile strength and surface quality with mean values of 6.65MPa and 12.05μm, respectively. However, the preparation of POFA powderbinder system by using the mechanical mixing method show good flexural strength results with mean value of 44.7MPa. Both results of mechanical properties are allegedly due to the bimodal powder in the POFA powder-binder system which contains various particle sizes. Further studies are required to improve the quality of the product printed using the POFA powder-binder system particularly regarding of the dimensional accuracy. This study believes that the POFA powder-binder system has the potential to be used as an optional material for 3DP applications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".