Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Heat exchanger networks (HENs) are essential for energy recovery in process plants. Current HEN design methods use approximate models to improve convergence. This work presents a novel linear rigorous algorithm for computation of mass and energy balances which enables rapid synthesis of optimal HEN structure by using modular size heat exchangers. HEN non-iterative simulation algorithm: 1) solves mass balance equations for the network; 2) computes heat exchanger energy transfer factor which depends only on the current flows through the exchanger and conditions for a typical counter-current heat exchanger; 3) solves linear energy balance given results from 1 and 2. This once-through rapid computation enables network design via differential evolution algorithm by using heat exchangers in modular sizes. Several examples illustrate the algorithm capability to determine the best structures. Proposed method enables design of lower capital cost networks that are as efficient as the networks with custom exchanger sizes.
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.
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 | 0.001 |
| 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 it