An accurate steady-state approach for characterizing the thermal conductivity of Additively manufactured polymer composites
Why this work is in the frame
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Bibliographic record
Abstract
This study investigates the accuracy of the steady-state meter bar implementation of ASTM D5470, popularly used to measure the thermal conductivity of 3D-printed polymers and polymer composites manufactured using fused filament fabrication (FFF). We show that a meter bar approach can result in significant error in thermal conductivity measurement, depending on the meter bar design and the thermal conductivity and thickness of the tested samples. This is because a fraction of the thermal power measured by the meter bar bypasses the sample through the surrounding insulation. To address this issue of heat bypass, a modified version of the steady-state guarded hot plate method (ASTM C177) is proposed; this version features a one-sided, cup-shaped guard heater that greatly simplifies the standard implementations of ASTM C177 and C1044. This approach also does not require the calibrated heat flux meter bars described by popular implementations of ASTM D5470 or E1225. Simulations of this approach for typical FFF composite samples shows less than 2% measurement error. A detailed design of this apparatus is presented and employed to measure the thermal conductivity of several 3D-printed PLA polymer composites which showed a significant degree of anisotropy.
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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) | 0.000 | 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) | 0.000 | 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