Abstract
Titanium alloys are widely applied, particularly in biomedical engineering, due to their exceptional combination of mechanical strength, corrosion resistance, and biocompatibility. The low modulus of elasticity of these titanium alloys in comparison to other materials used in medical applications is a main characteristic. However, some of these alloys' components, such as aluminum and vanadium, can have adverse effects on the human body. Consequently, new titanium alloys with low modulus of elasticity and no toxic alloying elements are currently being developed. In this research, 238 titanium alloys were collected, almost entirely composed of biocompatible alloying elements. The primary motivation behind creating such a database is to establish a foundation for designing new alloys using machine learning methods. The database can assist researchers, engineers, and biomedical professionals in developing titanium alloys for various medical applications, thereby improving health outcomes and driving advancements in biomaterials and biomedical engineering. Database URL: https://doi.org/10.5281/zenodo.7802694
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