Characterization and modeling of the anisotropic flow behavior of long carbon fiber reinforced thermoplastic compression molding
Bibliographic record
Abstract
The anisotropic rheological properties of compression-molded long carbon fiber reinforced polyamide 6 are examined using isothermal squeeze flow tests between two parallel plates at various temperatures and compression velocities. Due to the aligned initial fiber orientation state, the material exhibits strongly anisotropic flow behavior independent of the temperature and compression velocity. However, the material’s stress response is dependent on the shear rate and temperature, which are both investigated. In addition, lofting effects during heating are discussed. A two-dimensional model for non-lubricated squeeze flow that considers shear thinning behavior and the coupling between fiber orientation and flow is developed to capture the anisotropic viscous material behavior. The Mori–Tanaka-based fiber orientation evolution equation describes the fiber reorientation. The material properties are determined using state-of-the-art optimization techniques in a two-step procedure. First, the material parameters describing the shear thinning and anisotropic flow behavior are determined, followed by the temperature-dependent parameters. The obtained material properties agree well with the experimentally observed temperature and shear rate dependence. The material’s anisotropic nature, expressed by an ellipse-like deformation, is also well represented. Finally, the sensitivity of the anisotropy ratio on the velocity field for different shear thinning behavior is investigated.
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 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 | 0.000 |
| 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 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".