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Shape Optimization of Orthopedic Fixation Plate Based on Static Stress Analysis

Xiaozhong Chen1,*, Zhijian Mao1

School of Information Engineering, Changzhou Vocational Institute of Engineering, Changzhou, 213000, China.

* Corresponding Author: Xiaozhong Chen. Email: email.

Molecular & Cellular Biomechanics 2018, 15(4), 229-241. https://doi.org/10.32604/mcb.2018.03818

Abstract

Shape optimization of orthopedic fixation plate is of great importance in the treatment of complex fracture. Therefore, a method in this paper to automatically optimize the complex shape of anatomical plate according to static analysis. Based on the theory of finite element analysis (FEA), our approach is processed as follows. First, the three-dimensional finite element model of the fracture fixation is constructed. Next, according to the type and feature of fracture, the anatomical plate was parameterized in two levels (the bounding surface and plate model). Then, parameter constraints are set up to meet the needs of surgical fracture treatment. Finally, by using the theories combined with the method of moving asymptote (MMA) and gradient projection (GP), the plate model is modified automatically based on the principle of plate stress and segment offset minimization. Experimental results show that the displacement of femur segments and the stress of fracture site were decreased slightly and can improve the biomechanical environment around the fracture.

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Cite This Article

APA Style
Chen, X., Mao, Z. (2018). Shape optimization of orthopedic fixation plate based on static stress analysis. Molecular & Cellular Biomechanics, 15(4), 229-241. https://doi.org/10.32604/mcb.2018.03818
Vancouver Style
Chen X, Mao Z. Shape optimization of orthopedic fixation plate based on static stress analysis. Mol Cellular Biomechanics . 2018;15(4):229-241 https://doi.org/10.32604/mcb.2018.03818
IEEE Style
X. Chen and Z. Mao, "Shape Optimization of Orthopedic Fixation Plate Based on Static Stress Analysis," Mol. Cellular Biomechanics , vol. 15, no. 4, pp. 229-241. 2018. https://doi.org/10.32604/mcb.2018.03818



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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