Design of Experiment to Evaluate Thermal Resistance of a PTAC Unit
Bibliographic record
Abstract
As a part of the “Design of Experiment” component of Thermal/Fluids Laboratory (MECH405) at Manhattan College, a setup for measuring the R-value of an Evergreen Products Model KHS-09 PTAC unit was designed by a student group. The setup consisted of the PTAC unit installed in a well insulated wall. A thermally controlled hot chamber (which simulated a hot outdoor environment) was built around the exterior side of the wall and PTAC assembly. The interior side was exposed to the lab air temperature (typically at 70°F). Thermocouples were installed on various surfaces of the setup and temperature history data were collected in order to calculate the R-value of the PTAC under different imposed temperature gradients and convection heat transfer environments. ANOVA analysis of the data showed that the R-value of the PTAC was influenced by the convective environment (free versus forced convection), and while outdoor temperature did not directly influence the R-value, an interaction existed between temperature and convection.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".