Analyzing the Mechanical Behavior of Magnesium Metal Matrix Composites Fabricated Through Friction Stir Processing.
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| Title: | Analyzing the Mechanical Behavior of Magnesium Metal Matrix Composites Fabricated Through Friction Stir Processing. |
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| Authors: | Adetunla, Adedotun1 (AUTHOR) aadedotun@uj.ac.za, Jen, Tien-Chien1 (AUTHOR), Habib, Mohammad Rezwan1 (AUTHOR) mohabib@wiley.com |
| Source: | Advances in Materials Science & Engineering. 11/17/2025, Vol. 2025, p1-12. 12p. |
| Subjects: | Magnesium alloys, Bioabsorbable implants, Friction stir processing, Tensile strength, Mechanical wear, Durability, Orthopedics, Machine learning |
| Abstract: | Magnesium alloys show promise for orthopedic implants due to biodegradability and biocompatibility, but rapid degradation limits their use. This study fabricates AZ31 magnesium composites reinforced with CaCO3 powder via friction stir processing (FSP). Three conditions were tested: one‐pass reinforced (Sample A), three‐pass reinforced (Sample B), and three‐pass unreinforced (Sample C). Mechanical characterization included tensile, hardness, impact, and wear tests, while degradation was assessed in blood and plasma media. Sample B exhibited superior tensile strength (306.13 MPa) and the highest impact strength (0.1352 J/mm2), though hardness decreased relative to Sample C. Degradation rates were 0.033 g/day (blood) and 0.031 g/day (plasma), with Sample B showing slower plasma degradation. Machine learning models—Linear Regression and Lasso Regression—were applied to predict long‐term degradability. Linear Regression achieved lower prediction error (7.69 days vs. 13.75 days for Lasso), forecasting full degradation of a 71.5 g implant in ∼2190 days (6 years). The integrated experimental–ML framework supports optimized design of biodegradable implants with predictable lifespans. This predictive model could help plan maintenance and ensure implant safety, potentially reducing the need for second surgeries. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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