A Correlation Analysis of Cooling-Induced Temperature Changes
Bibliographic record
Abstract
Proper temperature control is essential for producing superior quality components and yielding high production rates in high temperature manufacturing processes. Due to the closure of machine tools such as casting dies during production, it is usually very difficult to monitor their local surface temperatures without destructively inserting thermal sensors into them. However, the measurement of cooling water temperature at the coolant outlet is relatively unproblematic. This work demonstrates that there is a correlation between these two temperatures. As an example, the effect of the local surface temperature of a casting die on the cooling water outlet temperature is analyzed from a laboratory die casting process simulator. Based on the system identification theory, a control-oriented linear time-invariant model has been developed, which correlates the local die temperature to the cooling water outlet temperature. The model enables the prediction of the local die temperature with the measurements of the cooling water temperature. Thus, it provides an alternative approach other than the destructive sensing method to acquire the local die temperatures, and the model could be applied to design a real-time temperature control system for die cooling process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".