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INVESTIGATION INTO THE DENSITY OF POLYSTERENE FOAM MODELS WHEN IMPLEMENTING THE RESOURCE-SAVING FABRICATION TECHNOLOGY OF THIN-WALL ALUMINUM SHEET

2015· article· en· W2286820817 on OpenAlex
V. B. Deev, K. V. Ponomareva, A. S. Yudin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIzvestiya Non-Ferrous Metallurgy · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsFabricationMaterials scienceAluminiumResource (disambiguation)NanotechnologyComposite materialComputer science

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.050
GPT teacher head0.254
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it