Topology Optimization Method for Calcaneal Prosthesis

Abstract

Abstract:With the development of economy and the progress of medical science and technology, artificial prosthesis replacement has become an important means to improve the dysfunction caused by human bone diseases.However, there are still some loose phenomena caused by stress shielding. To solve the complications of aseptic loosening after calcaneal prosthesis replacement, an optimal design method for the prosthesis was proposed. The prosthesis was designed and optimized according to the real bone shape and the replacement requirements by the combination of computed tomography (CT) technology, computer-aided design, finite element analysis, and power flow theory. CT data were imported into MIMICS and Geomagic Studios. UG was used to obtain the geometric model of the human skeleton. Then, the 3D finite element model of the prosthesis was established by combining the finite element software Abaqus, and a series of finite element analysis was carried out. The prosthesis was topologically optimized and filled with a porous structure. The prosthesis was implanted by computer simulation.Finally, the power flow method was used to compare the dynamic performance and energy transfer before and after the prosthesis replacement to verify the rationality of the prosthesis design. In this paper, this method was used to optimize the design of the calcaneal prosthesis, and the research shows that this method can reduce the stress shielding effect of the calcaneal prosthesis. From the case of calcaneal prosthesis optimization, this method is not only a supplement to the contemporary biomechanical theory but also can guide the design of bone prosthesis in bone prosthesis replacement surgery.

Key words:calcaneal prosthesis| finite element| optimization design| replacement

CLC Number:

TP 391
R 319

LIU Xiaoying* (刘晓颖), YUE Yong(岳勇), WANG Chongning (王宠宁), HUANG Jiazan (黄家赞),HUANG Xianwei(黄贤伟), HAO Yanhua(郝艳华). Topology Optimization Method for Calcaneal Prosthesis[J]. J Shanghai Jiaotong Univ Sci, 2022, 27(2): 240-249.

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