Development and 4D printing of magneto-responsive PMMA/TPU/Fe3O4 nanocomposites with superior shape memory and toughness properties

• Innovative 4D printed PMMA/TPU/Fe3O4 nanocomposites. • Magneto-responsive shape memory properties. • Enhanced toughness with TPU addition. • Fast shape recovery in magnetic fields. • Successful 3D printed gripper demonstration. This paper introduces 4D printing of composites of polymethyl methacrylate (PMMA) and thermoplastic polyurethane (TPU) reinforced with Fe 3 O 4 particles for the first time. PMMA/TPU blends with 70/30 wt% are selected as matrix with the best compatibility based on dynamic mechanical thermal analysis. Fe 3 O 4 nanoparticles are added to the blends with 10 %, 15 % and 20 % weight ratios. Their addition enables remote actuation of the materials in a high frequency alternating magnetic field. Field emission scanning microscopic images confirms a full dispersion of nanoparticles inside the polymeric matrix. Nanocomposites with 20 wt% of Fe 3 O 4 can perfectly recover the permanent shape within 1.5 min in the magnetic field. They also reveal perfect shape memory properties in the hot water. Moreover, all samples display a perfect shape fixity ratio. The addition of TPU significantly enhances the toughness and flexibility of the PMMA matrix. It is found that Fe 3 O 4 nanoparticles further enhance the mechanical strength by 10 % to 15 %, although they reduce the strain at break from 17 % to 14 %. Finally, a gripper is 4D printed and its excellent performance in the magnetic field is demonstrated.

Authors

Institutions

Publication Details

Journal
European Polymer Journal
Published
2024-10-19
DOI
https://doi.org/10.1016/j.eurpolymj.2024.113495
Citations
20
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
3.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and 4D printing of magneto-responsive PMMA/TPU/Fe3O4 nanocomposites with superior shape memory and toughness properties

Mahdi Bodaghi, Majid Baniassadi, Mostafa Baghani, Hossein Doostmohammadi et al.
20 citations
European Polymer Journal
Polymer composites and self-healing
3.37
article

Development and 4D printing of magneto-responsive PMMA/TPU/Fe3O4 nanocomposites with superior shape memory and toughness properties

Mahdi Bodaghi, Majid Baniassadi, Mostafa Baghani, Hossein Doostmohammadi, Ahmad Hassan Ahangari
article en
20 citations

Abstract

• Innovative 4D printed PMMA/TPU/Fe3O4 nanocomposites. • Magneto-responsive shape memory properties. • Enhanced toughness with TPU addition. • Fast shape recovery in magnetic fields. • Successful 3D printed gripper demonstration. This paper introduces 4D printing of composites of polymethyl methacrylate (PMMA) and thermoplastic polyurethane (TPU) reinforced with Fe 3 O 4 particles for the first time. PMMA/TPU blends with 70/30 wt% are selected as matrix with the best compatibility based on dynamic mechanical thermal analysis. Fe 3 O 4 nanoparticles are added to the blends with 10 %, 15 % and 20 % weight ratios. Their addition enables remote actuation of the materials in a high frequency alternating magnetic field. Field emission scanning microscopic images confirms a full dispersion of nanoparticles inside the polymeric matrix. Nanocomposites with 20 wt% of Fe 3 O 4 can perfectly recover the permanent shape within 1.5 min in the magnetic field. They also reveal perfect shape memory properties in the hot water. Moreover, all samples display a perfect shape fixity ratio. The addition of TPU significantly enhances the toughness and flexibility of the PMMA matrix. It is found that Fe 3 O 4 nanoparticles further enhance the mechanical strength by 10 % to 15 %, although they reduce the strain at break from 17 % to 14 %. Finally, a gripper is 4D printed and its excellent performance in the magnetic field is demonstrated.

European Polymer JournalVol. 220
University of Tehran (IR), Nottingham Trent University (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 6%
Polymer composites and self-healing
3.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.