Electrochemical and mechanical performance of biodegradable ZX30 alloy using multi-channel spiral twist extrusion (MCSTE) for biomedical implants
Bibliographic record
Abstract
Multi-channel spiral twist extrusion (MCSTE) is an emerging severe plastic deformation (SPD) technique that offers tunable processing parameters and potential for scalable deformation of bulk billets. This study investigates the effects of MCSTE processing parameters, including twist angles of 30° and 40°, processing routes A and C, and up to eight passes on the microstructure, mechanical performance, and electrochemical behavior of ZX30 magnesium alloy for biodegradable implant applications. Microstructural characterization via scanning electron microscopy, EBSD, and energy-dispersive X-ray spectroscopy revealed that combined route A with incremental passes promote finer grain sizes and more randomized textures compared to route C. Route C developed more pronounced texture and relatively courser grains. After eight passes via Route A at 30°, an 82 % reduction in grain size and a 54 % increase in ultimate tensile strength were achieved relative to the as-annealed condition. Corrosion resistance in simulated body fluid also improved significantly, with Route C at 30° showing a 221 % increase in polarization resistance. While microstructural heterogeneity, particularly an edge-to-center gradient, persists even after multiple passes, these results demonstrate that MCSTE can effectively enhance key functional properties of biodegradable ZX30-Mg alloys. The process remains under development, but its parameter flexibility and compatibility with bulk forms make it a possible candidate for further optimization toward biomedical applications.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".