Prediction of transverse tensile strength of in-situ-consolidated Carbon/PEEK thermoplastic composite material based on micromechanical modeling and simulation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Thermoplastic composite laminates have emerged as a compelling alternative to thermoset laminates for primary aerospace applications, following the industrial development of automated manufacturing technologies, such as the Automated Fiber Placement (AFP) process. The present research aims to predict the transverse tensile strength of in-situ-consolidated Carbon/PEEK thermoplastic composite material, considering inherent variations caused by the AFP process in fiber volume fraction, void content, interlaminar resin pocket and degree of crystallinity. To achieve this, two-dimensional Representative Volume Elements (RVEs) with randomly distributed fibers were developed at the micro-scale level. The Drucker-Prager model, combined with a ductile failure criterion, was used to capture the plastic behavior and damage accumulation in the PEEK resin during the numerical analysis. In order to acquire the necessary data for micromechanical modeling and analysis, two sets of specimens, manufactured using AFP in-situ consolidation and autoclave re-consolidation techniques, underwent micrographic examination and thermoanalytical Differential Scanning Calorimetry (DSC) analysis. The results reveal that AFP in-situ consolidation can reduce the transverse tensile strength of Carbon/PEEK thermoplastic composite material up to approximately 44%, compared to the autoclave re-consolidation technique. Due to the lack of experimental data caused by warpage occurring in the manufactured laminate in the absence of a heated mandrel, the present work proposes a simulation methodology to predict the transverse tensile strength resulting from the in-situ consolidation process. This crucial difference in strength values, most notably in the transverse direction, must be carefully considered in finite element analyses, analytical evaluations, and design procedures involving AFP-manufactured thermoplastic composite laminates and structures.
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.
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 it