Designing novel vascular stents with enhanced mechanical behavior through topology optimization of existing devices

A variety of different vascular stent designs are currently available on the market, featuring different geometries, manufacturing materials, and physical characteristics. Here, we propose a framework for designing innovative stents that replicate and enhance the mechanical properties of existing devices. The framework includes a Solid Isotropic Material with Penalization (SIMP)-based topology optimization formulation, assisted by the homogenization theory to constrain the mechanical response, along with a minimum length scale requirement to ensure manufacturability to the designed devices. The optimization problem, discretized on a sequence of computational meshes anisotropically adapted, generates a 2D stent unit cell, which can be automatically converted into a 3D digital version of the device. This virtual prototype is validated through in silico testing via a radial crimping simulation to assess the stent insertion into the catheter, prior to implantation. The results prove that the proposed framework can identify stent designs that are competitive with respect to existing devices in terms of relevant clinical requirements, such as foreshortening, radial stiffness and surface contact area. • A digital twin of the stent allows for the in silico characterization of the device. • A customized topology optimization is used to design stents with enhanced properties. • Anisotropic adaptive meshes yield stent designs with sharp strut descriptions. • The designs are suitable for laser-cut production by enforcing a minimum strut size.

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Publication Details

Journal
Finite Elements in Analysis and Design
Published
2025-01-09
DOI
https://doi.org/10.1016/j.finel.2024.104304
Citations
1
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
0.95
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article

Designing novel vascular stents with enhanced mechanical behavior through topology optimization of existing devices

Simona Perotto, Umberto Morbiducci, Diego Gallo, Dario Carbonaro et al.
1 citations
Finite Elements in Analysis and Design
Topology Optimization in Engineering
0.95
article

Designing novel vascular stents with enhanced mechanical behavior through topology optimization of existing devices

Simona Perotto, Umberto Morbiducci, Diego Gallo, Dario Carbonaro, Claudio Chiastra, Emanuele Galligani, Nicola Ferro, Francesco Mezzadri
article en
1 citations

Abstract

A variety of different vascular stent designs are currently available on the market, featuring different geometries, manufacturing materials, and physical characteristics. Here, we propose a framework for designing innovative stents that replicate and enhance the mechanical properties of existing devices. The framework includes a Solid Isotropic Material with Penalization (SIMP)-based topology optimization formulation, assisted by the homogenization theory to constrain the mechanical response, along with a minimum length scale requirement to ensure manufacturability to the designed devices. The optimization problem, discretized on a sequence of computational meshes anisotropically adapted, generates a 2D stent unit cell, which can be automatically converted into a 3D digital version of the device. This virtual prototype is validated through in silico testing via a radial crimping simulation to assess the stent insertion into the catheter, prior to implantation. The results prove that the proposed framework can identify stent designs that are competitive with respect to existing devices in terms of relevant clinical requirements, such as foreshortening, radial stiffness and surface contact area. • A digital twin of the stent allows for the in silico characterization of the device. • A customized topology optimization is used to design stents with enhanced properties. • Anisotropic adaptive meshes yield stent designs with sharp strut descriptions. • The designs are suitable for laser-cut production by enforcing a minimum strut size.

Finite Elements in Analysis and DesignVol. 244
University of Modena and Reggio Emilia (IT), Ferrari (Italy) (IT), Politecnico di Milano (IT)
Openalex Percentile: Top 30%
Topology Optimization in Engineering
0.95
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