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一种用于理解金属生物材料微观结构演变及其与力学性能关系的新型组合方法。

A novel combinatorial approach for understanding microstructural evolution and its relationship to mechanical properties in metallic biomaterials.

作者信息

Nag S, Banerjee R, Fraser H L

机构信息

Center for the Accelerated Maturation of Materials, Department of Materials Science and Engineering, The Ohio State University, Columbus, OH, USA.

出版信息

Acta Biomater. 2007 May;3(3):369-76. doi: 10.1016/j.actbio.2006.08.005. Epub 2006 Oct 27.

Abstract

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.

摘要

新一代用于假体植入(骨科和牙科)的金属生物材料通常以钛为基础,并添加了如铌、钽、锆、钼、铁和锡等完全生物相容的合金元素。虽然二元钛-钽和三元钛-铌-钽体系很有前景,但这些体系所提供的巨大成分空间通过合金成分优化和热机械处理在合金设计方面提供了巨大的空间。在本文中,已开发出一种新颖的组合方法,用于快速探索这些体系中的微观结构演变以及微观结构与显微硬度(或弹性模量)之间的关系。利用定向激光沉积技术,制备了成分渐变的合金样品,随后进行热处理,以根据β基体中α相的体积分数和分布随成分的变化来影响不同的微观结构。随后,从这些渐变样品中获得了基于压痕的特定成分硬度和模量信息,并利用所得数据建立了成分、微观结构和力学性能之间的关系。这种快速的组合评估不仅在优化合金成分方面非常有用,而且在为特定的骨科或牙科应用实现最佳性能组合而优化所需微观结构方面也非常有用。

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