High Fiber Content 3D Printed Dry Continuous Carbon Fiber Reinforce Composites Based on Coaxial Dual‐Aperture Nozzle
Bibliographic record
Abstract
Abstract In traditional in‐situ impregnation 3D printing of dry continuous carbon fiber reinforced polymer composites (CFRPCs) with high fiber content, various printing defects caused by the fiber exposure limit the further increase of fiber content. In this study, a coaxial dual‐aperture nozzle printing method is proposed by improving in‐situ impregnation process, realizing matrix uniformly wrapping fibers to avoid fiber exposure at high fiber content (up to 40 vol%). Morphological characterization indicates that the coaxial dual‐aperture nozzle printing approach effectively improves the fiber damage, debonding, dislocation, and dispersion in traditional in‐situ impregnation process, exhibiting better printing quality and molding accuracy. A similar level of fiber‐resin impregnation as the pre‐impregnation process is achieved by the dual‐impregnation effect of the coaxial dual‐aperture nozzle. Mechanical property test results show that the tensile and flexural strengths of the CFRPCs by the coaxial dual‐aperture nozzle are 758.92 ± 40.05 and 534.46 ± 32.10 MPa, which reach performance levels comparable to those of pre‐impregnated CFRPCs with similar fiber contents. Furthermore, the high fiber content also provides possibilities to improve some functional properties of 3D printed CFRPCs. Overall, this study provides a simple method to fabricate high fiber content in‐situ impregnated CFRPCs with excellent properties.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".