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RESEARCH PRODUCT
Multi-objective optimization of nitinol stent design.
Massimiliano ZingalesGianluca AlaimoFerdinando AuricchioMichele Contisubject
EngineeringCompressive Strengthmedicine.medical_treatment02 engineering and technology030204 cardiovascular system & hematologycomputer.software_genreMulti-objective optimization0302 clinical medicineStentComputer Aided DesignFatigueSafety factorStructural engineeringEquipment DesignFatigue limitFinite element methodsurgical procedures operativeComputer-Aided DesignStentsAlgorithms0206 medical engineeringFinite Element AnalysisBiophysicsBiomedical EngineeringFatigue; Multi-objective optimization; Nitinol; Stent; Structural finite element analysis; Tapered strut; Biophysics; Biomedical Engineering03 medical and health sciencesBlood vessel prosthesisElastic ModulusTensile StrengthGenetic algorithmmedicineAlloysPressureComputer Simulationcardiovascular diseasesbusiness.industryStentStructural finite element analysiNitinolModels Theoreticalequipment and supplies020601 biomedical engineeringTapered strutBlood Vessel ProsthesisMulti-objective optimizationEquipment Failure AnalysisBiophysicStress Mechanicalbusinesscomputerdescription
Nitinol stents continuously experience loadings due to pulsatile pressure, thus a given stent design should possess an adequate fatigue strength and, at the same time, it should guarantee a sufficient vessel scaffolding. The present study proposes an optimization framework aiming at increasing the fatigue life reducing the maximum strut strain along the structure through a local modification of the strut profile.The adopted computational framework relies on nonlinear structural finite element analysis combined with a Multi Objective Genetic Algorithm, based on Kriging response surfaces. In particular, such an approach is used to investigate the design optimization of planar stent cell.The results of the strut profile optimization confirm the key role of a tapered strut design to enhance the stent fatigue strength, suggesting that it is possible to achieve a marked improvement of both the fatigue safety factor and the scaffolding capability simultaneously. The present study underlines the value of advanced engineering tools to optimize the design of medical devices.
year | journal | country | edition | language |
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2017-09-01 | Medical engineeringphysics |