Superior antiwear biomimetic artificial joint based on high-entropy alloy coating on porous Ti6Al4V
Superior antiwear biomimetic artificial joint based on high-entropy alloy coating on porous Ti6Al4V
复制标题
基于多孔Ti6Al4V高熵合金涂层的优异耐磨仿生人工关节
DOI：
10.1016/j.triboint.2021.106937
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发表时间：
2021-02
影响因子：
6.2
通讯作者：
Ren Luquan
中科院分区：
文献类型：
--
作者：
Liu Dongni;Ma Zhichao;Zhang Wei;Huang Bin;Zhao Hongwei;Ren Luquan
现有人工关节的磨损不可避免，长期稳定性有待提高。但现有人工关节的性能存在摩擦系数高、模量差大、连接性差等问题。本研究开发了一种具有抗磨损、韧性和高连接性的双耦合仿生人工关节结构，有效降低了关节材料的摩擦系数，且无生物毒性。该结构由多孔Ti6Al4V和具有优异硬度的高熵合金涂层组成。往复摩擦试验和流体模拟分析都表明该结构具有显着的抗磨损性能，该性能与孔径密切相关。在干燥和生物环境条件下的球盘往复摩擦分析表明，采用高熵合金涂层后，摩擦系数分别降低了37%和35.7%。通过结构的流体模拟表明，在成孔剂直径为 30 μm 的情况下，磨损量最低。预计耦合生物人工关节结构将延长人工关节的使用寿命，为临床关节置换提供新的选择。
The wear of the currently available artificial joints is unavoidable, and the long-term stability needs to be improved.However, the performance of the existing artificial joints suffers from high friction coefficient, large modulus difference and poor connectivity. In this study, a dual coupling bionic artificial joint structure exhibiting antiwear, toughness and high connectivity was developed, which effectively reduced the joint material friction coefficient without biological toxicity. The structure consisted of porous Ti6Al4V and high-entropy alloy coating with superior hardness. Both reciprocating friction test and fluid simulation analysis revealed significant antiwear performance of the structure, which was closely dependent on the pore size. The ball-disc reciprocating friction analysis under dry and biotic environmental conditions lead to a reduction of 37% and 35.7% respectively in the friction coefficient by employing the high-entropy alloy coating. The wear loss was the lowest in the case of 30 μm diameter of the pore-forming agent, as revealed through the fluid simulation of the structure. It is anticipated that the coupled biological artificial joint structure will prolong the service life of the artificial joints and provide a new alternative for clinical joint replacement.
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影响因子：
3.7
作者：
de Steiger RN;Muratoglu O;Lorimer M;Cuthbert AR;Graves SE
通讯作者：
Graves SE
影响因子：
6.2
作者：
Jun Cao;Z. Yin;Hulin Li;Gao Gengyuan
通讯作者：
Jun Cao;Z. Yin;Hulin Li;Gao Gengyuan
影响因子：
9.4
作者：
Yi Wang;M. Yan;Qiang-Qiang Zhu-Qiang;W. Wang;Yidong Wu;X. Hui;R. Otis;S. Shang;Zi-kui Liu;Long-Qing Chen
通讯作者：
Yi Wang;M. Yan;Qiang-Qiang Zhu-Qiang;W. Wang;Yidong Wu;X. Hui;R. Otis;S. Shang;Zi-kui Liu;Long-Qing Chen
DOI：
10.1109/tvcg.2017.2655523
发表时间：
2018-02-01
影响因子：
5.2
作者：
Wu, Jun;Aage, Niels;Sigmund, Ole
通讯作者：
Sigmund, Ole
影响因子：
4.2
作者：
Parvizi, Javad;Zmistowski, Benjamin;Zalavras, Charalampos G.
通讯作者：
Zalavras, Charalampos G.