Interfacial heat transfer of squeeze casting of wrought aluminum alloy 5083 with variation in wall thicknesses
Bibliographic record
Abstract
The squeeze casting technique, combining the advantage of die casting and forging process, is becoming one of the fast growing and efficient methods for production of near-net to net shape of aluminum alloys. Wrought aluminum alloys with their high strength properties have achieved widespread use in the automotive industry. In this study, a five-step squeeze casting experiment using aluminum wrought alloy 5083 has been designed and conducted. The temperature profiles inside the die and casting were measured. The metal/die interfacial heat transfer coefficient (IHTC) by using a computer program based on the inverse method was calculated and studied. The results showed that the IHTC of the thicker section had a higher peak value than the thinner one in which a firm contact might be formed at the metal/die interface as the section became thicker, which facilitated the transfer of the applied hydraulic pressure to the metal/die interface. The IHTC value increased immediately after the mold cavity was filled by the liquid metal, and decreased as the solidification process proceeded. The regression analysis indicated that an empirical equation, relating IHTCs to the wall thickness of the casting could be established based on a logarithmic function.
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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 | 0.000 | 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".