Identifying structure-property relationships of micro-architectured porous scaffolds through 3D printing and finite element analysis

2022 ◽  
Vol 202 ◽  
pp. 110987
Author(s):  
Zhangke Yang ◽  
Pooya Niksiar ◽  
Zhaoxu Meng
2018 ◽  
Vol 15 (2) ◽  
pp. 663-665 ◽  
Author(s):  
Nor Aiman Sukindar ◽  
Mohd Khairol Anuar Mohd Ariffin ◽  
B.T. Hang Tuah Baharudin ◽  
Che Nor Aiza Jaafar ◽  
Mohd Idris Shah Ismail

Open-source 3D printer has been widely used for fabricating three dimensional products. However, this technology has some drawbacks that need to be improved such as accuracy of the finished parts. One of the factors affecting the final product is the ability of the machine to extrude the material consistently, which is related to the flow behavior of the material inside the liquefier. This paper observes the pressure drop along the liquefier by manipulating the nozzle die angle from 80° to 170° using finite element analysis (FEA) for polymethylmethacrylate (PMMA) material. When the pressure drop along the liquefier is varied, the printed product also varies, thus providing less accuracy in the finished parts. Based on the FEA, it was found that 130° was the optimum die angle (convergent angle) for extruding PMMA material using open-source 3D printing.


2021 ◽  
Vol 7 ◽  
Author(s):  
Peter Endre Eltes ◽  
Marton Bartos ◽  
Benjamin Hajnal ◽  
Agoston Jakab Pokorni ◽  
Laszlo Kiss ◽  
...  

Introduction: Revision surgery of a previous lumbosacral non-union is highly challenging, especially in case of complications, such as a broken screw at the first sacral level (S1). Here, we propose the implementation of a new method based on the CT scan of a clinical case using 3D reconstruction, combined with finite element analysis (FEA), computer-assisted design (CAD), and 3D-printing technology to provide accurate surgical navigation to aid the surgeon in performing the optimal surgical technique by inserting a pedicle screw at the S1 level.Materials and Methods: A step-by-step approach was developed and performed as follows: (1) Quantitative CT based patient-specific FE model of the sacrum was created. (2) The CAD model of the pedicle screw was inserted into the sacrum model in a bicortical convergent and a monocortical divergent position, by overcoming the geometrical difficulty caused by the broken screw. (3) Static FEAs (Abaqus, Dassault Systemes) were performed using 500 N tensile load applied to the screw head. (4) A template with two screw guiding structures for the sacrum was designed and manufactured using CAD design and 3D-printing technologies, and investment casting. (5) The proposed surgical technique was performed on the patient-specific physical model created with the FDM printing technology. The patient-specific model was CT scanned and a comparison with the virtual plan was performed to evaluate the template accuracyResults: FEA results proved that the modified bicortical convergent insertion is stiffer (6,617.23 N/mm) compared to monocortical divergent placement (2,989.07 N/mm). The final template was created via investment casting from cobalt-chrome. The template design concept was shown to be accurate (grade A, Gertzbein-Robbins scale) based on the comparison of the simulated surgery using the patient-specific physical model and the 3D virtual surgical plan.Conclusion: Compared to the conventional surgical navigation techniques, the presented method allows the consideration of the patient-specific biomechanical parameters; is more affordable, and the intraoperative X-ray exposure can be reduced. This new patient- and condition-specific approach may be widely used in revision spine surgeries or in challenging primary cases after its further clinical validation.


2019 ◽  
Vol 106 (3-4) ◽  
pp. 829-841 ◽  
Author(s):  
Bankole I. Oladapo ◽  
S. Abolfazl Zahedi ◽  
Seng Chong ◽  
Francis T. Omigbodun ◽  
Idowu O. Malachi

2019 ◽  
Vol 6 (10) ◽  
pp. 105407 ◽  
Author(s):  
Yue Du ◽  
Huixin Liang ◽  
Deqiao Xie ◽  
Ning Mao ◽  
Jianfeng Zhao ◽  
...  

2019 ◽  
Vol 163 ◽  
pp. 107540 ◽  
Author(s):  
Elena Provaggi ◽  
Claudio Capelli ◽  
Benyamin Rahmani ◽  
Gaetano Burriesci ◽  
Deepak M. Kalaskar

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