Evidence map›Paper›PMID 37842178›Full record

ArticleAdditive manufacturing2023

Digital light 3D printing of a polymer composite featuring robustness, self-healing, recyclability and tailorable mechanical properties.

Wei Huang, Jianhui Zhang, Vikaramjeet Singh, Lulu Xu, Prasenjit Kabi, Eral Bele, Manish K Tiwari

Abstract read
In one paragraph

Article in Additive manufacturing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
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

7 authors.

Wei HuangNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London WC1E 7JE, UK.
Jianhui ZhangNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London WC1E 7JE, UK.
Vikaramjeet SinghNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London WC1E 7JE, UK.
Lulu XuNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London WC1E 7JE, UK.
Prasenjit KabiNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London WC1E 7JE, UK.
Eral BeleUCL Mechanical Engineering, University College London, London WC1E 7JE, UK.
Manish K TiwariNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London WC1E 7JE, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Producing lightweight structures with high weight-specific strength and stiffness, self-healing abilities, and recyclability, is highly attractive for engineering applications such as aerospace, biomedical devices, and smart robots. Most self-healing polymer systems used to date for mechanical components lack 3D printability and satisfactory load-bearing capacity. Here, we report a new self-healable polymer composite for Digital Light Processing 3D Printing, by combining two monomers with distinct mechanical characteristics. It shows a desirable and superior combination of properties among 3D printable self-healing polymers, with tensile strength and elastic modulus up to 49 MPa and 810 MPa, respectively. Benefiting from dual dynamic bonds between the linear chains, a healing efficiency of above 80% is achieved after heating at a mild temperature of 60 °C without additional solvents. Printed objects are also endowed with multi-materials assembly and recycling capabilities, allowing robotic components to be easily reassembled or recycled after failure. Mechanical properties and deformation behaviour of printed composites and lattices can be tuned significantly to suit various practical applications by altering formulation. Lattice structures with three different architectures were printed and tested in compression: honeycomb, re-entrant, and chiral. They can regain their structural integrity and stiffness after damage, which is of great value for robotic applications. This study extends the performance space of composites, providing a pathway to design printable architected materials with simultaneous mechanical robustness/healability, efficient recoverability, and recyclability.

Indexed as

DLP printingLattice structuresMaterials recyclingMechanically tailorableSelf-healing

Identifiers

PMID37842178
PMCPMC10567580

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.