Characterization of hot-pressed biodegradable zinc-based nanocomposite implant materials reinforced with 10 wt% Mg, WE43, and AZ91
Why this work is in the frame
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Bibliographic record
Abstract
Compared to permanent orthopedic implants for load-bearing applications, biodegradable implants provide the advantage of eliminating the necessity for surgical removal after the healing process. Furthermore, magnesium alloy powder reinforced zinc matrix implant materials have been produced to enhance the mechanical properties, biocompatibility, and a proper degradation rate with the growth rate of new bones. This study aims to fabricate Zn-10 wt% Mg, Zn-10 wt% WE43, and Zn-10 wt% AZ91, and alloys along with pure Zn sample for control purpose, using the powder metallurgy production method. In this context, hot pressing was applied to samples at 200°C and 300°C temperatures, under a constant pressure of 400 MPa in order to optimize the fabrication parameters. Scanning Electron Microscope (SEM), Energy Dispersive Spectrometry (EDS), Vickers macro- and micro-hardness test (HV), and X-Ray Diffraction Spectroscopy (XRD) analyses were performed to investigate the influence of press temperatures on the microstructure, elemental components, and mechanical properties of the fabricated samples. The microstructures of the zinc matrix nanocomposite samples reinforced with magnesium alloys predominantly consist of MgZn2, Mg2Zn11, and MgO phases dispersed within the refined zinc matrix. The obtained results clearly indicate that ZnMg alloy nanocomposites hold significant potential as biodegradable orthopedic implant materials, however, it is possible to further improve the properties of the material by optimizing the production parameters. Keywords: Zn-Mg alloy, Powder metallurgy, Biodegradability, Mechanical properties.
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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