Numerical and Experimental Investigation of Thermal Damage in Drilling of CFRP Composites
Bibliographic record
Abstract
Carbon fiber reinforced polymer (CFRP) composites are extensively used in aerospace applications due to their light weight and special strength. Drilling of holes is the most frequently used machining operation for CFRP composites. In the drilling process, heat conduction with the anisotropic thermal properties of CFRPs is a complex process that requires special considerations. In this study, a 3D finite element (FE) model is developed to predict the temperature fields in drilling of laminated composites, considering the unique features of CFRPs, i.e., the multi-ply structures and anisotropic thermal properties. The thermal energy is determined from the cutting forces and the cutting parameters. A novel methodology is proposed to determine the heat partition ratio between the CFRP and the drilling tool. It considers the tool speed and geometry, the material properties, as well as the tool coating. The predicted temperature and thermal damage are validated experimentally, which are in good agreement with the measurements.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".