Parametric optimization of the femoropopliteal artery stent design based on numerical analysis
High-failure rates of Peripheral Arterial Disease (PAD) stenting were reported due to the inability of certain stent strut configuration to accommodate severe biomechanical environment of the Femoro-Popliteal Artery (FPA) such as bends, twists, and axially compresses during limb flexion. The un...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4130/1/24p%20ALI%20KAMIL%20KAREEM.pdf http://eprints.uthm.edu.my/4130/2/ALI%20KAMIL%20KAREEM%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/4130/3/ALI%20KAMIL%20KAREEM%20WATERMARK.pdf |
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| Summary: | High-failure rates of Peripheral Arterial Disease (PAD) stenting were reported due to
the inability of certain stent strut configuration to accommodate severe biomechanical
environment of the Femoro-Popliteal Artery (FPA) such as bends, twists, and axially
compresses during limb flexion. The unique of mechanical deformation environment
in FPA has been considered one of main factors affecting the durability of the FPA
stent and reducing the stent life. Consequently, various optimization techniques have
been developed to improve the mechanical performance of the FPA stent. The present
work shown that, the first-two of twelve FPA resemble stent models stent models have
been selected with a net score of 3.65 Model I and, with a net score of 3.55 Model II
via applying Pictorial Selection Method. Finite Element Method (FEM) of
optimization study based-parameterization has been conducted for stent strut
dimensions, stents were compared in terms of force-stress behavior. Multi Criteria
Decision Making (MCDM) method has been utilized to identify the best combination
of strut dimensions. The strut thickness parameterization results were in relation T α
1/σ (T is strut thickness) for both models with all mechanical loading modes.
Moreover, the strut width parameterization results were in relation W α 1/σ (W is strut
width) for both models with all mechanical loading modes. Whereas, the strut length
parameterization results were in relation L α σ in case of Model I and, L α 1/σ (L is
strut length) in case of Model II, under axial loads, while under three-point bending
and torsion loading modes L α σ for both models, under radial compression the
relations were L α 1/σ in case of Model I and, L α σ in case of Model II. The best
combination of strut dimension in the thickness case was t4 = 230 µm for both models,
in strut width were w3=0.180, and w4= 0.250 mm for Model I and Model II,
respectively, and in strut length were l2= 1.40, and l2= 1.75 mm for Model I and Model
II, respectively. In conclusions, the mathematical selection approach and the consistent
mathematical approach of MCDM has been proposed, also the mechanical
performance has been improved for parameterized stent models. |
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