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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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