UV LED Curing in Inkjet Printing Applications
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
LEDs have many potential advantages as alternatives to traditional UV light sources for adhesive and ink curing. However, the application of LEDs for UV curing has not been as successful as expected by many researchers, despite the many attractive features LED technology provides. The high cost of UV LEDs is often cited as the primary reason for why they are not widely accepted in the industry.Based on our understanding of LED technology, we have compared the performance of LED based light sources with traditional UV light sources and addressed the technical issues such as spectrum and light intensity needed for UV curing applications.While much effort is still needed to successfully use LEDs in full-cure applications, recent work between EXFO and key digital print partners has shown that LEDs will improve the quality of digital printing. Print quality is controlled through an intermediate stage called ‘pinning’, where UV ink is partially cured on the print media. At this stage, LEDs have many advantages compared to traditional UV light sources. The improvements in print quality including enhanced image resolution, color depth and color clarity have been discussed.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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