Comparative effects of improved schemes with shape adjustment and composite packaging on radio frequency heating of two-component rice
Bibliographic record
Abstract
To meet the demand for uniform reheating of two-component instant foods and address the uneven temperature distribution during radio frequency (RF) heating identified in previous sensitivity analysis, three improvement schemes with shape adjustment and composite packaging (annular protrusion (AP) of cooked rice, top composite plate (TCP), and bottom composite plate (BCP)) were developed based on screened system variables with positive effects. An integrated structural (INS) plan was then designed by combining the respective strengths of the three evaluated schemes of AP, TCP, and BCP. The RF heating performance of the selected INS sample was evaluated through simulation, some validated by experimental results. The results showed that the AP scheme achieved the relatively better uniformity in temperature distribution while ensuring rapid heating. The TCP and BCP schemes effectively adjusted the location of high-temperature region vertically and horizontally, respectively. Among all, the INS (H12.0-D40.0) sample was found to be the optimal scenario under the relatively high heating rate of 19.3 °C/min and the most uniform temperature distribution with experimental temperature uniformity index (0.038) for the whole sample and simulated heating uniformity index (0.043) for the diagonal longitudinal section. The proposed improvement schemes in this study and the relevant integration methodology of respective advantages may offer theoretical support for enhancing RF heating uniformity in other heterogeneous food products. • Shape adjustment and composite packaging were used to improve RF heating uniformity of two-component rice. • AP scheme achieved better temperature distribution, and TCP and BCP schemes adjusted the location of hot region. • INS (H12.0-D40.0) scheme was expected to have higher heating rate and relatively best RF heating uniformity. • Integration method of respective advantages could offer theoretical support to RF heating for heterogeneous foods.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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".