Nondestructive Evaluation Of A Polymer Composite Hip Implant Using Lock-In Thermography
Bibliographic record
Abstract
Lock-in thermography, combined with finite element analysis and experimental testing, was used to investigate the stress/strain pattern in a novel composite hip implant made of carbon fibre and polyamide 12 (CF/PA12). In this study, the geometry of the hip implant was first modelled and analysed in ANSYS workbench 11. Different virtual loads of 800N, 1400N and 2200N were applied on the finite element model of the hip stem at an adduction angle of 15º, thereby replicating the present experimental setup. The values of strains obtained were confirmed by replicating the experiment by using strain gauges. A Pearson's correlation (R²=0.98) was obtained, which indicated good agreement between the FEA model and experimental hip stem. The hip implant was again subjected to similar loading conditions, and stresses were recorded by using a thermal camera at corresponding vertices. The comparison of results showed good agreement between the values of stress calculated from the strain gauge experiment and stress obtained from thermography. This study showed that it was possible to find stresses in a hip implant reliably by thermography.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".