Impact of Temperature Variation on the Electromagnetic Shielding Behavior of Multilayer Shield for EMC Applications
Bibliographic record
Abstract
This paper attempts to disclose how temperature variation affects the electromagnetic shielding of a multilayer composite made of copper (Cu) fibers surrounded by silicon (Si).The model of the composite was fabricated by physical vapor deposition method, and tested with the temperature rising from room temperature (RT), 50º C, 85º C to 110º C.Under these temperatures, several electromagnetic shielding parameters of the composite were measured in various operating microwave frequencies (E, F, I and J bands).Among them, dielectric permittivity was acquired by LCR tester, magnetic permeability was measured by vibrating sample magnetometer (VSM), and the electromagnetic (EM) wave attenuation was recorded by typical microwave test bench.The results show that the composite had an EMI shielding of 20dB at 85º and 100dB at the RT; the reflection loss of the composite (volume fraction: 0.32) was also 100dB at the RT.Thus, the temperature rise suppresses the reflection loss; the composite has better electromagnetic shielding effect at the RT than at elevated temperatures; the volume faction enhances the wave attenuation of the composite.The results provide a good reference for the design of stable electromagnetic shielding materials at elevated temperatures.
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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) | 0.001 | 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".