Rahmatabadi, D, Mirasadi, K, Bayati, A, Khajepour, M, Ghasemi, I, Baniassadi, M, Abrinia, K, Bodaghi, M ORCID: https://orcid.org/0000-0002-0707-944X and Baghani, M, 2024. 4D printing thermo-magneto-responsive PETG-Fe3O4 nanocomposites with enhanced shape memory effects. Applied Materials Today, 40: 102361. ISSN 2352-9407
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Abstract
In this groundbreaking study, Polyethylene Terephthalate Glycol (PETG)-Fe3O4 nanocomposites were developed for 4D printing, incorporating iron oxide (Fe3O4) nanoparticles into PETG matrix. The research contribution lies in its innovative approach to enhancing the shape memory effect (SME) through thermo-magnetic responsiveness, positioning PETG-Fe3O4 as a revolutionary material in smart additive manufacturing. The composites were synthesized using a melt mixing method, followed by 3D printing into specimens for comprehensive evaluation through dynamic mechanical thermal analysis (DMTA), scanning electron microscopy (SEM), and uniaxial tensile tests. The findings revealed that the incorporation of Fe3O4 nanoparticles significantly boosts the composites’ storage modulus and glass transition temperature, indicative of improved stiffness and thermal properties. Notably, the 15 % Fe3O4 composite emerged as the optimal blend, exhibiting the highest tensile strength and a favourable balance between mechanical integrity and flexibility. A key result was the enhanced SME under both thermal and magnetic stimuli, with recovery efficiency and speed escalating with nanoparticle concentration. This advancement underscores the potential of PETG-Fe3O4 nanocomposites in fabricating smart structures capable of environmental adaptability, paving the way for impacts in biomedical, aerospace, and robotic devices. Through this work, a new paradigm in material functionality for 4D printing has been established, demonstrating the viability of magnetic nanoparticle integration for added smart capabilities.
Item Type: | Journal article |
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Publication Title: | Applied Materials Today |
Creators: | Rahmatabadi, D., Mirasadi, K., Bayati, A., Khajepour, M., Ghasemi, I., Baniassadi, M., Abrinia, K., Bodaghi, M. and Baghani, M. |
Publisher: | Elsevier BV |
Date: | October 2024 |
Volume: | 40 |
ISSN: | 2352-9407 |
Identifiers: | Number Type 10.1016/j.apmt.2024.102361 DOI 2191714 Other |
Rights: | © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Divisions: | Schools > School of Science and Technology |
Record created by: | Laura Ward |
Date Added: | 12 Aug 2024 13:11 |
Last Modified: | 12 Aug 2024 13:11 |
URI: | https://irep.ntu.ac.uk/id/eprint/51972 |
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