Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Instagram as a Tool to Improve Human Histology Learning in Medical Education: Descriptive Study.

JMIR medical education·2025
Same author

The Effect of Elastomer Content and Annealing on the Physical Properties of Upcycled Polyethylene Terephthalate-Maleated Styrene Ethylene Butylene Styrene Blends for Additive Manufacturing.

Materials (Basel, Switzerland)·2025
Same author

Materials Characterization of Stereolithography 3D Printed Polymer to Develop a Self-Driven Microfluidic Device for Bioanalytical Applications.

ACS applied bio materials·2024
Same author

Development of a Resilience Parameter for 3D-Printable Shape Memory Polymer Blends.

Materials (Basel, Switzerland)·2023
Same author

Microbiome Alterations and Alzheimer's Disease: Modeling Strategies with Transgenic Mice.

Biomedicines·2023
Same author

Her2-Positive and Microsatellite Instability Status in Gastric Cancer-Clinicopathological Implications.

Diagnostics (Basel, Switzerland)·2021

Related Experiment Video

Updated: Oct 25, 2025

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
09:37

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Published on: October 23, 2015

12.9K

Design of Shape Memory Thermoplastic Material Systems for FDM-Type Additive Manufacturing.

Paulina A Quiñonez1,2, Leticia Ugarte-Sanchez1,2, Diego Bermudez1,2

  • 1Polymer Extrusion Lab, The University of Texas at El Paso, El Paso, TX 79968, USA.

Materials (Basel, Switzerland)
|August 7, 2021
PubMed
Summary
This summary is machine-generated.

This study explores how fused filament fabrication (FFF) enhances shape memory polymers. Different miscibility parameters in polymer blends create materials with unique shape-memory capabilities, including multiple temporary shapes.

Keywords:
fused filament fabricationglass transition temperatureimpact modifiersmaterial designmelt compoundingscanning transmission electron microscopyshape memory polymers

More Related Videos

Multi-material Ceramic-Based Components – Additive Manufacturing of Black-and-white Zirconia Components by Thermoplastic 3D-Printing (CerAM - T3DP)
08:29

Multi-material Ceramic-Based Components – Additive Manufacturing of Black-and-white Zirconia Components by Thermoplastic 3D-Printing (CerAM - T3DP)

Published on: January 7, 2019

11.5K
Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

1.2K

Related Experiment Videos

Last Updated: Oct 25, 2025

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
09:37

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Published on: October 23, 2015

12.9K
Multi-material Ceramic-Based Components – Additive Manufacturing of Black-and-white Zirconia Components by Thermoplastic 3D-Printing (CerAM - T3DP)
08:29

Multi-material Ceramic-Based Components – Additive Manufacturing of Black-and-white Zirconia Components by Thermoplastic 3D-Printing (CerAM - T3DP)

Published on: January 7, 2019

11.5K
Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

1.2K

Area of Science:

  • Materials Science
  • Polymer Science
  • Additive Manufacturing

Background:

  • Fused filament fabrication (FFF) can induce phase texturization, enhancing shape memory polymer properties.
  • Previous work showed binary shape memory polymer blends benefit from FFF-induced texturization.

Purpose of the Study:

  • To design multi-constituent shape memory polymer systems for additive manufacturing.
  • To investigate the influence of miscibility parameters on shape memory properties.
  • To compare FFF-processed materials with injection-molded counterparts.

Main Methods:

  • Development of two multi-constituent shape memory polymer systems guided by miscibility parameters.
  • Fabrication using fused filament fabrication (FFF) and injection molding.
  • Evaluation of shape memory characteristics and material properties.

Main Results:

  • Blend combinations with closer miscibility parameters yielded more reliable shape memory polymer systems.
  • Divergent miscibility parameters showed potential for creating systems with multiple temporary shape capabilities.
  • FFF processing demonstrated enhanced shape memory characteristics compared to injection molding.

Conclusions:

  • Additive manufacturing, specifically FFF, offers a pathway to advanced shape memory polymer materials.
  • Material design utilizing miscibility parameters is key to tailoring shape memory performance.
  • This research advances additive manufacturing through novel materials development.