3D Microscale Mechanical Simulations of Hydrogel Coated Electrospun Meshes

Electrospun fiber meshes have long served as biomaterials in a wide range of biomedical applications due to their functional similarities to extracellular matrix and highly tunable properties. Altering the mechanical behaviors of individual fibers and their microarchitecture (e.g.; diameter, crimp, orientation, density) can in principle be used to control bulk level behaviors. Moreover, electrospun meshes are often combined with softer coatings and hydrogels to control surface interactions with body tissues. Yet, fully optimizing their behaviors for specific applications remains an elusive target due to a continued lack of understanding of the micromechanical mechanisms and their relation to bulk mechanical behaviors. Our goal herein was to understand how actual nanoCT-generated 3D microfiber geometry can be used to predict bulk mechanical properties of hydrogel-mesh composites. Electrospun polyurethane meshes were fabricated with a random fiber orientation and coated with a PEG-based hydrogel. The fiber-hydrogel composite was then imaged with a nanoCT scanner at a voxel resolution of 180 nm. From these images, custom Python programs were written to segment, refine, and tesselate a high-resolution finite element of the fiber mesh and hydrogel volumes into a single integrated bi-material finite element model. The resulting mesh was used to run simulations of the planar biaxial mechanical tests used to characterize the bulk mechanical behaviors. Our framework thus enabled systematic investigations of both the macroscopic bulk mechanical response of the overall fiber mesh and the microscopic localized mechanical response of fibers under various stages of loading. The resultant simulations were accurate and predictive of the bulk mechanical responses. It is interesting to note that the fiber-hydrogel composite material experienced the largest stresses within the fiber phase and the largest strains within the hydrogel. This key result underscores that while the previous analytical model assumed local affine deformations, at the microscale this assumption does not hold. We also found very different effective fiber stress-strain responses in each model. It is likely these differences are due to the substantial heterogeneous non-affine local deformations present in the actual fiber-hydrogel composite. This finding further reveals the need for more rigorous approaches to better understand how electrospun-based materials function in order to improve their use in modern medical devices and implants.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-01-22
DOI
https://doi.org/10.64898/2026.01.19.700377
Primary Topic
Electrospun Nanofibers in Biomedical Applications
Type
article
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article

3D Microscale Mechanical Simulations of Hydrogel Coated Electrospun Meshes

Shruti Motiwale, Evan Chang Ling He, Elizabeth Cosgriff-Hernandez, Michael S Sacks
bioRxiv (Cold Spring Harbor Laboratory)
Electrospun Nanofibers in Biomedical Applications
article

3D Microscale Mechanical Simulations of Hydrogel Coated Electrospun Meshes

Shruti Motiwale, Evan Chang Ling He, Elizabeth Cosgriff-Hernandez, Michael S Sacks
article en

Abstract

Electrospun fiber meshes have long served as biomaterials in a wide range of biomedical applications due to their functional similarities to extracellular matrix and highly tunable properties. Altering the mechanical behaviors of individual fibers and their microarchitecture (e.g.; diameter, crimp, orientation, density) can in principle be used to control bulk level behaviors. Moreover, electrospun meshes are often combined with softer coatings and hydrogels to control surface interactions with body tissues. Yet, fully optimizing their behaviors for specific applications remains an elusive target due to a continued lack of understanding of the micromechanical mechanisms and their relation to bulk mechanical behaviors. Our goal herein was to understand how actual nanoCT-generated 3D microfiber geometry can be used to predict bulk mechanical properties of hydrogel-mesh composites. Electrospun polyurethane meshes were fabricated with a random fiber orientation and coated with a PEG-based hydrogel. The fiber-hydrogel composite was then imaged with a nanoCT scanner at a voxel resolution of 180 nm. From these images, custom Python programs were written to segment, refine, and tesselate a high-resolution finite element of the fiber mesh and hydrogel volumes into a single integrated bi-material finite element model. The resulting mesh was used to run simulations of the planar biaxial mechanical tests used to characterize the bulk mechanical behaviors. Our framework thus enabled systematic investigations of both the macroscopic bulk mechanical response of the overall fiber mesh and the microscopic localized mechanical response of fibers under various stages of loading. The resultant simulations were accurate and predictive of the bulk mechanical responses. It is interesting to note that the fiber-hydrogel composite material experienced the largest stresses within the fiber phase and the largest strains within the hydrogel. This key result underscores that while the previous analytical model assumed local affine deformations, at the microscale this assumption does not hold. We also found very different effective fiber stress-strain responses in each model. It is likely these differences are due to the substantial heterogeneous non-affine local deformations present in the actual fiber-hydrogel composite. This finding further reveals the need for more rigorous approaches to better understand how electrospun-based materials function in order to improve their use in modern medical devices and implants.

bioRxiv (Cold Spring Harbor Laboratory)
The University of Texas at Austin (US)
Openalex Percentile: Top 81%
Electrospun Nanofibers in Biomedical Applications
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