Thermal Post-Processing of 3D-Printed Poly(glycerol dodecanedioate) Controls Mechanics and Shape Memory Properties

In the clinic, patients largely prefer treatment via minimally invasive procedures (MIS). This patient preference has led to increased interest in the use of shape memory polymers (SMP) for the development of medical devices that can be delivered via MIS. Acrylated poly(glycerol-dodecanedioate) (APGD) is a biodegradable SMP that shows promise for use in MIS procedures. APGD can be 3D printed using both material extrusion (ME) and vat photopolymerization (VP) printing modalities; however, differences were measured between APGD samples’ physical, mechanical, and shape memory properties. This work looks to characterize the effects of thermal post-processing on 3D printed APGD and to determine whether thermal post-processing is able to reduce these differences in APGD properties due to manufacture modality. Differences in melt transition (Tm), relative crystallinity, gel content, shape recovery (Rr), and the Neo-Hookean nonlinear elastic C1 parameter amongst freshly fabricated unprocessed samples are reduced after 24 h of thermal post-processing. Taken together, 3D printing allows for the development and rapid prototyping of biocompatible resins, controlled manufacture of samples with complex porous geometries, improved feature resolution, and reduced cost for low volume clinical production. This study emphasizes the utility of tailoring post-processing methodologies to the manufacture process to govern the thermal, mechanical, and shape memory properties of 3D printed shape memory polymers for biomedical applications.

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Publication Details

Journal
Polymer science & technology.
Published
2025-04-07
DOI
https://doi.org/10.1021/polymscitech.5c00012
Citations
3
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
1.82

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Controls
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article

Thermal Post-Processing of 3D-Printed Poly(glycerol dodecanedioate) Controls Mechanics and Shape Memory Properties

Scott J. Hollister, M. Hollister, Harsha Ramaraju, Adam S. Verga et al.
3 citations
Polymer science & technology.
Polymer composites and self-healing
1.82
article

Thermal Post-Processing of 3D-Printed Poly(glycerol dodecanedioate) Controls Mechanics and Shape Memory Properties

Scott J. Hollister, M. Hollister, Harsha Ramaraju, Adam S. Verga, Ryan Akman
article en
3 citations

Abstract

In the clinic, patients largely prefer treatment via minimally invasive procedures (MIS). This patient preference has led to increased interest in the use of shape memory polymers (SMP) for the development of medical devices that can be delivered via MIS. Acrylated poly(glycerol-dodecanedioate) (APGD) is a biodegradable SMP that shows promise for use in MIS procedures. APGD can be 3D printed using both material extrusion (ME) and vat photopolymerization (VP) printing modalities; however, differences were measured between APGD samples’ physical, mechanical, and shape memory properties. This work looks to characterize the effects of thermal post-processing on 3D printed APGD and to determine whether thermal post-processing is able to reduce these differences in APGD properties due to manufacture modality. Differences in melt transition (Tm), relative crystallinity, gel content, shape recovery (Rr), and the Neo-Hookean nonlinear elastic C1 parameter amongst freshly fabricated unprocessed samples are reduced after 24 h of thermal post-processing. Taken together, 3D printing allows for the development and rapid prototyping of biocompatible resins, controlled manufacture of samples with complex porous geometries, improved feature resolution, and reduced cost for low volume clinical production. This study emphasizes the utility of tailoring post-processing methodologies to the manufacture process to govern the thermal, mechanical, and shape memory properties of 3D printed shape memory polymers for biomedical applications.

Polymer science & technology.Vol. 1(2)
Georgia Institute of Technology (US), The Wallace H. Coulter Department of Biomedical Engineering (US)
Georgia Institute of Technology
Affordable and clean energy
Openalex Percentile: Top 17%
Polymer composites and self-healing
1.82
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