3D mechanical modelling of bladder scaffold grafts using CATIA and Autodesk Fusion 360
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ID: 284835
2023
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Abstract
The three most common synthetic polymer material for the manufacturing of bladder scaffolds are PU, PGA, and PLA. However, the most suitable material and architecture in terms of mechanical properties for bladder scaffold graft has not yet been established. Additionally, evaluation of these mechanical properties involves experimental methods such as mechanical tests which require expensive equipment. Hence, the study utilized a finite element program, CATIA v6 and Autodesk Fusion 360, to assist in modelling and mechanical analysis of a multi-layered porous bladder scaffold graft. Four models were generated for each polymeric material varying in pore size, porosity, and number of layers. The ball-burst strength, tensile strength, elasticity modulus, and suture pullout strength of the polymer constructs were evaluated. MOORA was employed to determine the most suitable scaffold architecture among the generated models using AHP to determine the individual weights of the criteria. It was found that scaffolds that are more porous and lesser layers produce higher values of tensile strength, ball burst strength, and elasticity modulus. According to the MOORA method, the 3-layer polyurethane scaffold was found to be the most biomimetic model in terms of mechanical properties, having a mean pore size of 141.09 μm and a porosity of 13.04%. On the other hand, the least biomimetic scaffold is the monolayer polylactic acid scaffold with a mean pore size of 182 μm and a porosity of 17.17%. The researchers recommend increasing the porosity of the models to closely resemble that of experimental porous bladder scaffolds of around 80-90% porosity by modifying the fiber alignment and diameter and increasing the total number of layers. The researchers also suggest simplifying the scaffold dimensions and/or utilizing other CAD-based software to run the suture pullout test.
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| Authors | Sagum, Caira B. |
| Journal | Malay Journal |
| Year | 2023 |
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