Evidence map›Paper›PMID 34771217›Full record

ArticlePolymers2021

4D Printing of Smart Polymer Nanocomposites: Integrating Graphene and Acrylate Based Shape Memory Polymers.

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

Abstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jaydeep ChowdhurySchool of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India.
Premnath Vijay AnirudhDepartment of Manufacturing Engineering, University of Texas, Austin, TX 78705, USA.
Chandrasekaran KarunakaranSchool of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India.
Vasudevan RajmohanCentre for Innovative Manufacturing Research, Vellore Institute of Technology, Vellore 632014, India.
Arun Tom MathewSchool of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India.ORCID 0000-0002-6155-9874
Krzysztof KoziolEnhanced Composites and Structures Centre, Cranfield University, Cranfield MK43 0AL, UK.
Walaa F AlsanieDepartment of Clinical Laboratories Sciences, The Faculty of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Chidambaram KannanSchool of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India.ORCID 0000-0003-4743-0959
Arunachalam S S BalanDepartment of Mechanical Engineering, NITK Surathkal, Mangalore 575025, India.
Vijay Kumar ThakurBiorefining and Advanced Materials Research Centre, SRUC, Edinburgh EH9 3JG, UK.ORCID 0000-0002-0790-2264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

4D printinggrapheneshape memory polymerstrain fixity

Identifiers

PMID34771217
PMCPMC8587200

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.