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首页> 外文期刊>Acta biomaterialia >A novel combinatorial approach for understanding microstructural evolution and its relationship to mechanical properties in metallic biomaterials.
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A novel combinatorial approach for understanding microstructural evolution and its relationship to mechanical properties in metallic biomaterials.

机译：一种新颖的组合方法，用于了解金属生物材料中的微结构演变及其与机械性能的关系。

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摘要

The new generation of metallic biomaterials for prosthesis implantation (orthopedic and dental) typically have a Ti base with fully biocompatible alloying additions such as Nb, Ta, Zr, Mo, Fe and Sn. While the binary Ti-Ta and the ternary Ti-Nb-Ta systems are promising, the large composition space afforded by these systems offers tremendous scope in terms of alloy design via optimization of alloy composition and thermomechanical treatment. In the present paper a novel combinatorial approach has been developed for rapidly exploring the microstructural evolution and microstructure-microhardness (or elastic modulus) relationships in these systems. Using directed laser deposition, compositionally graded alloy samples have been fabricated and subsequently heat-treated to affect different microstructures in terms of the volume fraction and distribution of the alpha phase in the beta matrix as a function of composition. Subsequently, composition-specific indentation-based hardness and modulus information has been obtained from these graded samples, and the resulting data have been used to develop relationships between the composition, microstructure and mechanical properties. Such rapid combinatorial assessments can be very useful in optimizing not only the alloy composition but also the desired microstructure for achieving the best combination of properties for specific orthopedic or dental applications.
机译：用于假体植入的新一代金属生物材料（骨科和牙科用）通常具有Ti基以及完全生物相容的合金添加剂，例如Nb，Ta，Zr，Mo，Fe和Sn。尽管二元Ti-Ta和三元Ti-Nb-Ta系统前景广阔，但通过优化合金成分和进行热机械处理，这些系统提供的巨大成分空间为合金设计提供了巨大的范围。在本文中，已经开发了一种新颖的组合方法，用于快速探索这些系统中的微观结构演变和微观结构-显微硬度（或弹性模量）关系。使用定向激光沉积，已经制造出成分渐变的合金样品，随后进行了热处理，以影响β基体中α相的体积分数和分布随成分的变化而影响不同的微观结构。随后，已从这些分级样品中获得了基于成分特定压痕的硬度和模量信息，并将所得数据用于建立成分，微观结构与机械性能之间的关系。这种快速的组合评估不仅可以优化合金成分，还可以优化所需的显微组织，以实现特定骨科或牙科应用的最佳性能组合。

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