3D Printing of TPU-PLA Shape Memory Polymers and Nanocomposites for Deployable Structures
Bibliographic record
Abstract
Shape memory polymer blends were produced based on thermoplastic polyurethane (TPU) with poly(lactic acid) (PLA), including with the addition of single-walled carbon nanotubes or MXene nanoparticles as a reinforcing filler, and extruded to produce filaments for 3D printing by fused deposition modeling. A series of simple structures were printed and evaluated in terms of their shape memory effect, displaying large deformation and nearly complete shape recovery. The filaments printed similarly to commercial flexible filaments, although improvements in the filler integration and consistency of the filament diameter are needed to reduce print failures in larger prints with more flexible blends as well as to improve print quality. Addition of MXene or SWCNTs improved the stiffness and strength of the material. This improvement was associated with improved shape memory effect and increased recovery force, which are important for the use of SMPCs for actuation. The 3D/4D printed structures show large scale deformation capability, such as would be required for a deployable structure.
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".