Extrusion optimization and advanced mechanical characterization of fibre-reinforced polycarbonate filaments: Improving performance for fused filament fabrication
Bibliographic record
Abstract
This study explores the optimization of extrusion process parameters for fabrication of short glass fibre-reinforced polycarbonate filaments suitable for Fused Filament Fabrication. Employing Response Surface Methodology, the effects of fibre content, screw speed, and die temperature on mechanical properties and dimensional stability of filaments were investigated. This work introduces the application of Digital Image Correlation directly on filaments during tensile testing, contributing to the development of advanced filament characterization techniques. The optimal parameters—10 wt% fibre content, 40 rpm screw speed, and 239.9 °C die temperature—achieved a balance between high tensile modulus, high tensile strength, and minimal diameter deviation. The optimal processing condition led to a 148 % increase in tensile modulus, while maintaining good tensile strength and acceptable diameter deviation. Overall, fibre content had the most significant impact on filament properties, followed by screw speed. Fracture surface analysis provided valuable insights about the effects of process parameters on microstructure of the composites.
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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 | 0.000 |
| 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".