50-ohm RF technology based applicator design and fabrication for disinfestation of insect pests in stored grains
Bibliographic record
Abstract
Abstract. Disinfestation using conventional radio frequency energy has been studied as an alternative method for disinfestation of stored grains using chemicals (fumigants and pesticides) but no study has been done for disinfestation using the 50-ohm RF heater which is more advantageous than the former. These methods offer many advantages (chemical-free, volumetric, and fast) over the traditional methods of disinfestation. However, the conventional RF heater has not yet widely industrialized even though it has been studied for many years because of the non-uniform heating problem of the applicator. Therefore, this study dealt with the design and fabrication of an auger-type applicator to solve the problems of heating uniformity and application of 50-ohm RF technology for disinfestation. The auger-type applicator has two electrodes (hot and ground) attached to the tubular channel (30 cm diameter) and it has an auger driven by a motor (1-200 rpm) that stirs and conveys the grain continuously until it passes the electrodes (0.7 m length and 0.3 m width). The applicator is connected to the automatic matching network (AMN) and AMN is connected to the 15 kW and 27.12 MHz generator using 50-ohm coaxial cable. The diameter of the tubular channel applicator is 30 cm and can disinfest approximately 40 to 45 kg of wheat and canola. The materials are aluminum (electrode), polypropylene (tubular channel and auger), copper (welding cable connector between AMN and applicator), and expanded metal (casing for the applicator). Furthermore, this study expects an improvement of the heating uniformity of the applicator because of the auger that stirs and conveys the grains while heating; and a positive application of 50-ohm RF technology for disinfestation of stored grains.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".