Heating Simulation of Film Heaters Fabricated by EHD Inkjet Printing for Satellite Applications
Bibliographic record
Abstract
Abstract Film heaters have flexible characteristics and are used in various fields, including as important subsystems in satellite thermal control. These film heaters are produced using electrohydrodynamic (EHD) inkjet printing, which is a next‐generation inkjet printing technology. Ink applicable to printing is produced. These inks are composite materials with dispersed Ag and barium titanate (BTO). Because composite material inks have varying material properties depending on the amount added, it is necessary to derive the material property information. The material property information is derived from the heat generation characteristics by printing specific geometries with composite material inks. The derived material property information is applied to the simulation to compare the heat generation performances of the four circuit models. Through simulation, the shape is obtained that generates the best heat generation under the set conditions among the four circuit models. After that, the simulation results are verified by comparing them with the test results of the film heater. This study successfully demonstrates the simulation of various circuits and film heaters produced by EHD inkjet printing are expected to be applied in various fields.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".