A review on various phases and alloy design methods of β-Ti alloys for biomedical applications

Kanapaakala, Gouthamraj; Sathesh, Venkatesan

doi:10.1177/14644207231152067

Cited by 2 publications

(1 citation statement)

References 116 publications

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“…This progressive lack of stimulation leads to bone fragility and gives rise to the stress-shielding effect. 5 To prevent the stress shielding effect, which results in revision surgery, the implant materials, including different implants used in the human body, such as hip, knee, and dental implants, must possess a similar elastic modulus as bone. 6,7 To avoid inflammatory and allergic reactions, implant materials must contain non-toxic alloying elements, leading to high biocompatibility.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive review of Gum metal's potential as a biomedical material

Kanapaakala,

Subramani

2024

Proceedings of the Institution of Mechanical Engineers, Part L:

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The demand for low elastic modulus and biocompatible load-bearing implants has experienced a significant surge in recent times. Gum metal, a noteworthy category of β-Ti alloys, has gained substantial recognition in the biomedical field. This is primarily attributed to its remarkable blend of characteristics, encompassing non-toxic and biocompatible elements, a low elastic modulus, superelasticity, and high strength. Achieving these properties involves precise electronic criteria within their composition and substantial deformation, often through cold swaging. Recent years have seen innovative processing methods and alloy compositions to meet these requirements, expanding Gum metal's properties and applications. This review offers a thorough look at Gum metal, covering its discovery and highlighting its unique properties, with a particular focus on its relevance in the biomedical field. It critically analyzes the various phases of Gum metal and delves deeply into its deformation mechanism, unveiling its exceptional shape recovery capability even after significant deformation. Theoretical alloy design strategies for Gum metal are addressed, providing a glimpse into the ongoing efforts to optimize its performance for biomedical applications. The impact of oxygen on the Gum metal's properties is explored. The review also scrutinizes biocompatibility and corrosion behavior studies conducted on Gum metal, emphasizing its appropriateness for biomedical implants. Finally, various fabrication and processing routes for Gum metal are reviewed, offering insights into the techniques employed to harness its potential for practical applications.

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Section: Introductionmentioning

confidence: 99%

A comprehensive review of Gum metal's potential as a biomedical material

Kanapaakala,

Subramani

2024

Proceedings of the Institution of Mechanical Engineers, Part L:

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Predictive modeling for design of low elastic modulus and biocompatible β-Ti alloys: A comprehensive machine learning-data driven approach with XGBoost as the key predictor

Kanapaakala,

Subramani

2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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Mechanical compatibility and biocompatibility are critical considerations in the design of β-Ti alloys. The former hinges on achieving a reduced elastic modulus, while the latter is contingent on the toxic alloying element’s absence. Although conventional alloy design methods have been employed for developing low-modulus β-Ti alloys, these theoretical approaches encounter limitations due to the high non-linear relationship between composition and elastic modulus. To address these challenges and improve the design of low-modulus and biocompatible β-Ti alloys, an alternative approach utilizing machine learning (ML) techniques has been explored. ML leverages sophisticated algorithms to discern intricate connections between material composition and elastic modulus, making it a promising avenue for alloy design. In this study, seven supervised ML regression models were developed and compared to identify the most effective model for the given dataset. Notably, the XGBoost model exhibited superior performance compared to the other models, boasting a remarkable accuracy with an R-squared ( R2) value of 0.962 and an RMSE (Root Mean Square Error) of 3.16 GPa for the test data. Due to the inherent complexity of comprehending the structures and patterns present within datasets and simultaneously formulating effective predictive models, this study pursued the exploration of dependable models through the avenue of statistical inference analysis, a novel approach yet unexplored in prior research studies. Furthermore, a feature importance analysis was conducted to ascertain crucial input parameters significantly influencing the output, based on the best-performing model. The validity of the best model’s results was confirmed by comparing them with experimental data, ensuring the reliability and applicability of the ML-based alloy design method.

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A review on various phases and alloy design methods of β-Ti alloys for biomedical applications

Cited by 2 publications

References 116 publications

A comprehensive review of Gum metal's potential as a biomedical material

A comprehensive review of Gum metal's potential as a biomedical material

Predictive modeling for design of low elastic modulus and biocompatible β-Ti alloys: A comprehensive machine learning-data driven approach with XGBoost as the key predictor

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