Predicting Low-Modulus Biocompatible Titanium Alloys Using Machine Learning

Titanium alloys have been present for decades as the main components for the production of various orthopedic and dental elements. However, modern times require titanium alloys with a low Young’s modulus, and without the presence of cytotoxic alloying elements. Machine learning was used with aim to...

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Bibliographic Details
Published in:Materials 2023-09, Vol.16 (19), p.6355
Main Authors: Marković, Gordana, Manojlović, Vaso, Ružić, Jovana, Sokić, Miroslav
Format: Article
Language:English
Subjects:
Alloying elements
Biocompatibility
Composition
Corrosion
Crystal structure
Cytotoxicity
Data analysis
Data processing
Dental implants
Machine learning
Manganese
Mechanical properties
Methods
Modulus of elasticity
Monte Carlo method
Monte Carlo simulation
Niobium
Older people
Orthopedics
Raw materials
Regression models
Specialty metals industry
Thermal properties
Thermodynamic properties
Titanium
Titanium alloys
Titanium base alloys
Zirconium
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Summary:Titanium alloys have been present for decades as the main components for the production of various orthopedic and dental elements. However, modern times require titanium alloys with a low Young’s modulus, and without the presence of cytotoxic alloying elements. Machine learning was used with aim to analyze biocompatible titanium alloys and predict the composition of Ti alloys with a low Young’s modulus. A database was created using experimental data for alloy composition, Young’s modulus, and mechanical and thermal properties of biocompatible titanium alloys. The Extra Tree Regression model was built to predict the Young’s modulus of titanium alloys. By processing data of 246 alloys, the specific heat was discovered to be the most influential parameter that contributes to the lowering of the Young’s modulus of titanium alloys. Further, the Monte Carlo method was used to predict the composition of future alloys with the desired properties. Simulation results of ten million samples, with predefined conditions for obtaining titanium alloys with a Young’s modulus lower than 70 GPa, show that it is possible to obtain several multicomponent alloys, consisting of five main elements: titanium, zirconium, tin, manganese and niobium.
ISSN:1996-1944
1996-1944
DOI:10.3390/ma16196355