Defects Analysis and Countermeasures of Cylinder Blocks Cast with Green Sand Mould and Cold-Box Cores
Bibliographic record
Abstract
The reasons causing the casting defects occurring during the development process of Volkswagen series cylinder blocks were analyzed and their relevant solving measurers were proposed as follows:(1)The measures to prevent local fracture of jacket core include:using special sand as the substitute for the silica sand,improving coating process of cores,strictly controlling process parameters of raw materials and ensure the cores having sufficient strength;(2)The measures to prevent scab defect on the outer wall of jacket,i.e.on the top surface of block,include:using natural natrium clay as the substitute for a part of artificially-activated clay,shorting the duration the outer wall of the jacket core suffering hot-radiation,reducing gas evolution of the core sand and increasing venting efficiency;(3)The measures to avoid metal penetration occurring on the outer surface of the cylinder block include:decreasing sand granularity,increasing the resistance of the gaps between sand particles,increasing the gas back-pressure of the sand mold to prevent metal liquid penetrating into sand-gaps,controlling temperature and moisture of the sand to reduce hot burning-on defects of the casting,optimizing parameters of the molding sand,etc.
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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 | 0.001 | 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".