Development of novel polystyrene composite beads for defect-free lost foam casting
Bibliographic record
Abstract
The wider adoption of the Lost Foam Casting (LFC) process by the foundry industry has been impeded by the occurrence of fold defects. It is well known that a new foamed polymer, which degrades with less thermal energy (or less endothermic) and produces fewer gaseous pyrolysis products, may be a solution to fold defects. Hence, this pioneering research was an attempt to develop novel polystyrene composite beads for the LFC process through suspension polymerization. Low molecular weight polystyrene composite beads were initially produced, and the presence of the additives inside these beads was confirmed by Energy Dispersive X-ray (EDX) analysis. High molecular weight polystyrene composite beads were then produced. The thermal properties of these low and high molecular weight beads were then produced. The thermal properties of these low and high molecular weight beads were studied using advanced characterization techniques such as a thermo-gravimetric analysis (TGA) and differential scanning calorimetry (DSC). It was found that these polystyrene composite beads degrade faster and at lower onset temperatures of degradation than the unmodified polystyrene beads in the LFC industry to reduce casting defects.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".