INVESTIGATION INTO THE DENSITY OF POLYSTERENE FOAM MODELS WHEN IMPLEMENTING THE RESOURCE-SAVING FABRICATION TECHNOLOGY OF THIN-WALL ALUMINUM SHEET
Bibliographic record
Abstract
The influence of density of polysterene foam models on the quality of thin-wall castings of the cap of the gas analyzer case made of AK7 alloy smelted based on wastes of home manufacture (the charge contained 50–55 % secondary materials) is investigated in conditions of LLC SPE «Vektor Mashinostroeniya» (Novokuznetsk). To foam polysterene (produced by «STYROCHEM», Montreal, Canada) and fabricate the models, a GK-100-3M autoclave was used. Varying temporal-and-time autoclave modes, we obtained different densities of the model ρ = 0,017, 0,019, 0,022, 0,024, and 0,026 g/cm3. Based on the experimental investigations, the values of this index (ρ = 0,022÷0,024 g/cm3), at which the model possesses the required surface quality, stiffness, and burnability promoting the minimization of linear defects (mismatch with required geometric sizes, seal, misrun) when fabricating thin-wall casts with specified properties, are determined and substantiated.
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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 | 0.001 |
| 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) | 0.001 | 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 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".