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...
Guardado en:
Autores principales: | , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e8643e294f6f4f1ea66aeac3b162bfa8 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:e8643e294f6f4f1ea66aeac3b162bfa8 |
---|---|
record_format |
dspace |
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 |
work_keys_str_mv |
AT jaydeepchowdhury 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers AT premnathvijayanirudh 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers AT chandrasekarankarunakaran 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers AT vasudevanrajmohan 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers AT aruntommathew 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers AT krzysztofkoziol 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers AT walaafalsanie 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers AT chidambaramkannan 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers AT arunachalamssbalan 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers AT vijaykumarthakur 4dprintingofsmartpolymernanocompositesintegratinggrapheneandacrylatebasedshapememorypolymers |
_version_ |
1718431795540656128 |