Exergy Losses Relation with Driving Forces for Heat Transfer Process on Hot Plates Using Mathematical Programming
Bibliographic record
Abstract
The heat transfer on plates has many applications among which are the parallel plate heat exchangers. The application of second law of thermodynamics can lead to improvement in the quality of heat transfer process. The combination of design methods and second law analysis can provide an appropriate tool for the designer. The driving forces together with transfer coefficients, affect the heat transfer rate on one hand and given the relation of these forces with irreversibilities, they also influence the exergy losses on the other. Therefore, the driving forces can be used as a relation between heat transfer rate, transfer coefficients and exergy losses. The paper defines a new parameter, called here delivery impediment factor (DIF) which causes a difference in exergy change in the sink and source that lead to exergy losses. Exergy efficiency is expressed in relative driving force. A computer code has been developed to investigate various parameters that affect exergy losses within MATLAB environment. The method involved developing a sink and source model as well as basic relations in heat transfer on plate using mathematical programming. The effect of plate and fluid temperature on exergetic efficiency is shown in graphical form. Based on the results, a relation between the exergy efficiency and design parameters was obtained to make possible the thermodynamic analysis and design simultaneously.
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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 | 0.000 | 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) | 0.000 | 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".