Transient Behaviour of Heat Exchangers Under Inlet Perturbations
Bibliographic record
Abstract
The aim of this investigation is to characterize the transient performance of different heat exchangers for their design and efficient control.This paper explored the effect of inlet mass flow rate and temperature step variations on the dynamic response of a conventional and a minichannel heat exchanger.The work was also extended to include a comparison between these two heat exchangers when both subjected to sudden changes in the liquid inlet conditions.A comprehensive, well-equipped, and large-scale experimental setup was designed and assembled to examine the thermal performance of different heat exchangers under steady and transient changes.At the early stage of a step change, the influence of changing mass flow and inlet temperature of the hot fluid on the response time is found significant while, this effect diminishes as the system approaches steady state.The hot liquid inlet conditions change of mass flow and temperature have more significant effect on the minichannel liquid outlet temperature when compared to the conventional heat exchanger.The reported results can find an application in the design and selection of a cross flow heat exchanger used in thermal management systems such as in automotive industry where compact heat exchanger is required for size and weight reduction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".