Screen Printed HF RFID Antennas on Polyethylene Terephthalate Film
Bibliographic record
Abstract
The performance of printed radio frequency identification (RFID) antennas is highly dependent on the electrical conductivity of the conducting tracks forming the antennas. In this paper, screen printed high frequency (HF) RFID antennas on polyethylene terephthalate (PET) film are reported, with the focus on the optimization of the post-processing procedures for the improvement of the conductivity of the screen printed conductive tracks. The electrical conductivity of the printed conductive tracks is significantly affected by the ink post printing processing conditions. The results show that drying the ink at ambient temperature, followed by heat treatment provides the optimum conductivity. This treatment also offers the highest quality factors for the screen printed HF RFID antennas. It was also found that pre-drying at 60°C followed by heat treatment achieves similar results with less processing time. The findings provide a low cost solution for screen printing high performance HF RFID antennas on plastic films.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".