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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Autores principales: Jaydeep Chowdhury, Premnath Vijay Anirudh, Chandrasekaran Karunakaran, Vasudevan Rajmohan, Arun Tom Mathew, Krzysztof Koziol, Walaa F. Alsanie, Chidambaram Kannan, Arunachalam S. S. Balan, Vijay Kumar Thakur
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:e8643e294f6f4f1ea66aeac3b162bfa82021-11-11T18:42:59Z4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers10.3390/polym132136602073-4360https://doaj.org/article/e8643e294f6f4f1ea66aeac3b162bfa82021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4360/13/21/3660https://doaj.org/toc/2073-4360The 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.Jaydeep ChowdhuryPremnath Vijay AnirudhChandrasekaran KarunakaranVasudevan RajmohanArun Tom MathewKrzysztof KoziolWalaa F. AlsanieChidambaram KannanArunachalam S. S. BalanVijay Kumar ThakurMDPI AGarticle4D printingshape memory polymerstrain fixitygrapheneOrganic chemistryQD241-441ENPolymers, Vol 13, Iss 3660, p 3660 (2021)
institution DOAJ
collection DOAJ
language EN
topic 4D printing
shape memory polymer
strain fixity
graphene
Organic chemistry
QD241-441
spellingShingle 4D printing
shape memory polymer
strain fixity
graphene
Organic chemistry
QD241-441
Jaydeep Chowdhury
Premnath Vijay Anirudh
Chandrasekaran Karunakaran
Vasudevan Rajmohan
Arun Tom Mathew
Krzysztof Koziol
Walaa F. Alsanie
Chidambaram Kannan
Arunachalam S. S. Balan
Vijay Kumar Thakur
4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers
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 article
author Jaydeep Chowdhury
Premnath Vijay Anirudh
Chandrasekaran Karunakaran
Vasudevan Rajmohan
Arun Tom Mathew
Krzysztof Koziol
Walaa F. Alsanie
Chidambaram Kannan
Arunachalam S. S. Balan
Vijay Kumar Thakur
author_facet Jaydeep Chowdhury
Premnath Vijay Anirudh
Chandrasekaran Karunakaran
Vasudevan Rajmohan
Arun Tom Mathew
Krzysztof Koziol
Walaa F. Alsanie
Chidambaram Kannan
Arunachalam S. S. Balan
Vijay Kumar Thakur
author_sort Jaydeep Chowdhury
title 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_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_sort 4d printing of smart polymer nanocomposites: integrating graphene and acrylate based shape memory polymers
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/e8643e294f6f4f1ea66aeac3b162bfa8
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