Charge design for carbon fibre sheet moulding compounds—Impact on morphology and mechanical performance
Bibliographic record
Abstract
Compression moulded carbon fibre reinforced sheet moulding compounds aim to maximize the mechanical performance of discontinuous fibre composites, while maintaining low cycle times. The shape of the charge governs their in-mould flow behaviour, which is one of the most important factors influencing their mechanical performance. While high amounts of flow and the presence of weld lines have been identified as the major performance detractors, the practical implications of these finding on how charges should be designed have not yet been investigated in detail. The present study considers different charge configurations based on challenges that arise when balancing repeatable high performance and manufacturing efficiency in an industrial context. The influence of these configurations on the local internal microstructure is measured with micro-computed tomography and closely associated with the corresponding local mechanical performance measured using digital image correlation. While a charge closely resembling the part indeed yields the most reliable quasi-isotropic results, some in-mould flow aids in evacuating trapped gases and is in many scenarios preferable to piecing together charges from sheet moulding compound patches, thus introducing weld lines. Notably, an even charge coverage is important, to avoid local complex flow patterns, which highly distort the material and constitute significant weak spots. • Aligned orientation and strain fields reveal impact of charge design on performance. • Impact of morphology quality and partial weld-lines on local performance noticeable. • Allowing some in-mould flow preferable to patched charges with partial weld-lines. • Highly uneven charge coverage results in concentrated defects that trigger failure.
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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 | 0.001 | 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".