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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Soudagar, Manzoore Elahi M.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2024Optimizing Friction Stir Processing Parameters for Aluminium Alloy 2024 Reinforced with SiC Particles: A Taguchi Approach of Investigation
- 2024Leverage of aluminium oxynitride on the impact resistance of Kevlar‐impregnated epoxy composites: Experimental and numerical evaluation under low‐velocity impactcitations
- 2024Physiochemical and electrical activities of nano copper oxides synthesised <i>via</i> hydrothermal method utilising natural reduction agents for solar cell applicationcitations
- 2024Mitigation of bio-corrosion characteristics of coronary artery stent by optimising fs-laser micromachining parameters
- 2024Mitigation of bio-corrosion characteristics of coronary artery stent by optimising fs-laser micromachining parameters
- 2023Influence of Layering Pattern, Fibre Architecture, and Alkalization on Physical, Mechanical, and Morphological Behaviour of Banana Fibre Epoxy Compositescitations
- 2023Influence of Layering Pattern, Fibre Architecture, and Alkalization on Physical, Mechanical, and Morphological Behaviour of Banana Fibre Epoxy Compositescitations
- 2023Study on Interfacial Interaction of Cement-Based Nanocomposite by Molecular Dynamic Analysis and an RVE Approachcitations
- 2023Analytical modeling and experimental estimation of the dynamic mechanical characteristics of green composite: <i>Caesalpinia decapetala</i> seed reinforcementcitations
- 2023Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Compositescitations
- 2022Investigation of Various Coating Resins for Optimal Anticorrosion and Mechanical Properties of Mild Steel Surface in NaCl Solutioncitations
- 2022Investigation of Various Coating Resins for Optimal Anticorrosion and Mechanical Properties of Mild Steel Surface in NaCl Solutioncitations
- 2022Effects of tin particles addition on structural and mechanical properties of eutectic Sn–58Bi solder jointcitations
- 2022Diesel Spray: Development of Spray in Diesel Enginecitations
- 2021Neural Network-Based Prediction Model to Investigate the Influence of Temperature and Moisture on Vibration Characteristics of Skew Laminated Composite Sandwich Platescitations
- 2020Biodegradable carboxymethyl cellulose based material for sustainable packaging applicationcitations
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article
Mitigation of bio-corrosion characteristics of coronary artery stent by optimising fs-laser micromachining parameters
Abstract
<p>Cardiovascular diseases, particularly coronary artery disease, pose big challenges to human life. Deployment of the stent is a preferable treatment for the above-mentioned disease. However, stents are usually made up of shape memory alloy called Nitinol. The poorer surface finish on the machined nitinol stents accelerates the migration of Nickel ions from the implanted nitinol stent, which is considered toxic and can lead to stenosis. The current study deals with controlling surface quality by minimising surface roughness and improving corrosion resistance. Femtosecond laser (fs-laser 10<sup>−15</sup> s) micromachining was employed to machine the Nitinol surface to achieve sub-micron surface roughness. The Grey relational analysis (GRA)-coupled design of the experimental technique was implemented to determine optimal levels of four micromachining parameters (laser power, pulse frequency, scanning speed, and scanning pattern) varied at three levels to achieve minimum surface roughness and to maximise the volume ablation. The results show that to yield minimum surface roughness and maximum volume ablation, laser power and scanning speed are in a higher range. In contrast, the pulse frequency is lower, and the scanning pattern is in a zig-zag manner. ANOVA results manifest that scanning speed is the predominant factor in minimising surface roughness, followed by pulse frequency. Furthermore, the corrosion behaviour of the machined nitinol specimens was evaluated, and the results show that specimens with lower surface roughness had lower corrosion rates.</p>