Effects of density and cell morphologies on the shape memory effect of a porous shape memory polymer
Bibliographic record
Abstract
This paper investigates the effects of different densities and cellular morphologies on the shape memory effect (SME) of a porous shape memory polymer (SMP). The batch foaming processing technique was employed to obtain the desired foamed cellular structures. A study was conducted where the variable of saturation pressure was varied in order to obtain a reduction in relative density while the variables of saturation time, foaming temperature and foaming time were kept constant. The advantage of foaming the SMP is to reduce the weight of the material while still retaining its mechanical and thermomechanical characteristics. One particular point of interest is to understand how a change in density affects the SME. It is also of importance to determine how the SME is influenced by different amounts of strain and by the cellular morphology of the SMP. The objective is to modify the SMP to have the greatest SME while maintaining weight savings. Focusing on the SME, the area of greatest significance is the time response of the SMP. This approach is vital as it dictates the possibility of using a SMP as an effective actuator.
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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 | 0.001 |
| 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".