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4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers
The ever-increasing demand for materials to have superior properties and satisfy functions in the field of soft robotics and beyond has resulted in the advent of the new field of four-dimensional (4D) printing. The ability of these materials to respond to various stimuli inspires novel applications...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587200/ https://www.ncbi.nlm.nih.gov/pubmed/34771217 http://dx.doi.org/10.3390/polym13213660 |
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author | Chowdhury, Jaydeep Anirudh, Premnath Vijay Karunakaran, Chandrasekaran Rajmohan, Vasudevan Mathew, Arun Tom Koziol, Krzysztof Alsanie, Walaa F. Kannan, Chidambaram Balan, Arunachalam S. S. Thakur, Vijay Kumar |
author_facet | Chowdhury, Jaydeep Anirudh, Premnath Vijay Karunakaran, Chandrasekaran Rajmohan, Vasudevan Mathew, Arun Tom Koziol, Krzysztof Alsanie, Walaa F. Kannan, Chidambaram Balan, Arunachalam S. S. Thakur, Vijay Kumar |
author_sort | Chowdhury, Jaydeep |
collection | PubMed |
description | The ever-increasing demand for materials to have superior properties and satisfy functions in the field of soft robotics and beyond has resulted in the advent of the new field of four-dimensional (4D) printing. The ability of these materials to respond to various stimuli inspires novel applications and opens several research possibilities. In this work, we report on the 4D printing of one such Shape Memory Polymer (SMP) tBA-co-DEGDA (tert-Butyl Acrylate with diethylene glycol diacrylate). The novelty lies in establishing the relationship between the various characteristic properties (tensile stress, surface roughness, recovery time, strain fixity, and glass transition temperature) concerning the fact that the print parameters of the laser pulse frequency and print speed are governed in the micro-stereolithography (Micro SLA) method. It is found that the sample printed with a speed of 90 mm/s and 110 pulses/s possessed the best batch of properties, with shape fixity percentages of about 86.3% and recovery times as low as 6.95 s. The samples built using the optimal parameters are further subjected to the addition of graphene nanoparticles, which further enhances all the mechanical and surface properties. It has been observed that the addition of 0.3 wt.% of graphene nanoparticles provides the best results. |
format | Online Article Text |
id | pubmed-8587200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85872002021-11-13 4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers Chowdhury, Jaydeep Anirudh, Premnath Vijay Karunakaran, Chandrasekaran Rajmohan, Vasudevan Mathew, Arun Tom Koziol, Krzysztof Alsanie, Walaa F. Kannan, Chidambaram Balan, Arunachalam S. S. Thakur, Vijay Kumar Polymers (Basel) Article The ever-increasing demand for materials to have superior properties and satisfy functions in the field of soft robotics and beyond has resulted in the advent of the new field of four-dimensional (4D) printing. The ability of these materials to respond to various stimuli inspires novel applications and opens several research possibilities. In this work, we report on the 4D printing of one such Shape Memory Polymer (SMP) tBA-co-DEGDA (tert-Butyl Acrylate with diethylene glycol diacrylate). The novelty lies in establishing the relationship between the various characteristic properties (tensile stress, surface roughness, recovery time, strain fixity, and glass transition temperature) concerning the fact that the print parameters of the laser pulse frequency and print speed are governed in the micro-stereolithography (Micro SLA) method. It is found that the sample printed with a speed of 90 mm/s and 110 pulses/s possessed the best batch of properties, with shape fixity percentages of about 86.3% and recovery times as low as 6.95 s. The samples built using the optimal parameters are further subjected to the addition of graphene nanoparticles, which further enhances all the mechanical and surface properties. It has been observed that the addition of 0.3 wt.% of graphene nanoparticles provides the best results. MDPI 2021-10-24 /pmc/articles/PMC8587200/ /pubmed/34771217 http://dx.doi.org/10.3390/polym13213660 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chowdhury, Jaydeep Anirudh, Premnath Vijay Karunakaran, Chandrasekaran Rajmohan, Vasudevan Mathew, Arun Tom Koziol, Krzysztof Alsanie, Walaa F. Kannan, Chidambaram Balan, Arunachalam S. S. Thakur, Vijay Kumar 4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers |
title | 4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers |
title_full | 4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers |
title_fullStr | 4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers |
title_full_unstemmed | 4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers |
title_short | 4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers |
title_sort | 4d printing of smart polymer nanocomposites: integrating graphene and acrylate based shape memory polymers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587200/ https://www.ncbi.nlm.nih.gov/pubmed/34771217 http://dx.doi.org/10.3390/polym13213660 |
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