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Cancellation of The 36th International Biomedical Engineering Seminar

Abstract

The optimization of strength and ductility in biomedical titanium alloys is critical for improving the performance of biomedical implants. This study presents a novel domain knowledge-based machine learning approach to design a Ti-15Zr-15Nb-1Fe biomedical β-Ti alloy, achieving an exceptional balance of 35% elongation and 700 MPa yield strength. Elastic modulus is a valuable pathological biomarker to make diagnoses. As normal tissue becomes afflicted with diseases, the local modulus changes. Here, we also present a modulus characterization probe based on a shapememory alloy(SMA) microwire integrating both sensing and actuation to quantify modulus variations. Under controlled current input, SMA microwire contracts to generate active sensing force. The extent of contraction dynamically changes in response to the tissue modulus, which is quantified through real-time resistance changes. The maximum modulus measurement range was in the GPa range, improved by three orders of magnitude compared to conventional methods. It provided a spatial resolution of 2 mm with a data resolution of 1.53 mN in the kPa range and a spatial resolution of 1 mm with a data resolution of 1.50 mN in the MPa range. Refs: Acta Mater (2025); Device (2025); Adv Funct Mater (2025).

Contact

Prof. Hideki Hosoda（Advanced Materials Research Core）

20251211