Vertical Parallel Multi-Material 4D Printing (VPM-4DP): a novel strategy for achieving bio-inspired doubly curved non-planar hygroscopic actuators
Bibliographic record
Abstract
Abstract Most 4D-printed hygromorphic mechanisms using fibre-polymer composite filaments are thin laminated bilayer composite structures, which are printed flat on the 3D printer bed and shape-change into single or double-curvature geometries in response to moisture uptake. The tendency towards thin laminated 2D-like bilayers might be traced to early research on shape-change laminates, such as bimetals, or to the vertical layering sequencing of most additive manufacturing methods. Recently, actuators with non-planar geometries have been achieved through complex rotational 3D printing, 5 or 6-axis printers, or multi-step repositioning of parts, but these methods require bespoke equipment or intensive post-processing, which greatly limits their application to the ubiquitous 3-axis gantry system. In this paper, we introduce a strategy for vertically printing non-planar shape-changing hygromorphic structures that requires only one print session and minimal post-processing. We demonstrate the novel capability of the presented strategy by creating actuators with double-curvature geometries based on the biological models of the Bauhinia variegata seed pod and the Lilium ‘Casa Blanca’ tepals. This novel approach reduces the complexity of manufacturing intricate 4D-printed actuators that have doubly curved geometry. The possibilities in 4D-printed shape parameters are expanded through this method, considering that dimensional curvature and form can now be more easily introduced to structures previously limited by planar printing.
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".