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Record W2361293171

Analysis and Countermeasures of the Casting Defects on Common Thin Section Cylinder Blocks

2014· article· en· W2361293171 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueModern Cast Iron · 2014
Typearticle
Languageen
FieldEngineering
TopicMaterials Engineering and Processing
Canadian institutionsFord Motor Company (Canada)
Fundersnot available
KeywordsMaterials scienceCore (optical fiber)Composite materialCylinderPorosityMoistureBentoniteFoundryGeotechnical engineeringSinteringCoatingCastingMetallurgyGeologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Typical thin-wall cylinder castings and technical requirements were introduced. The foundry defects on cold core,inner and outer surfaces of cavity on the cylinder were elaborated. To prevent the inner cavity of water jacket from breaking,special sand was used instead of silica sand. Improved water jacket sand core coating process and acidity regimentation were also used to increase the sand core strength. To prevent sand inclusion defect on outer wall of water jacket,bentonite was used and thermal radiation time of outer wall on upper box water jacket was decreased. To prevent burnt-on sand defects,the sand grain size was refined and porosity resistance was increased. High air back pressures can keep melt from running into the sand gap. Adjustment of re-used sand temperature and moisture can reduce thermally bonded sand. These parameters also reduced the sand defects. To prevent sintering defects,small size of screws were used. And using special mixed sand,reducing the oil core drying temperature and round radius,improving paint formula are also helpful.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.194
Teacher spread0.186 · 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