↓ Skip to main content

PNAS

Rotational 3D printing of damage-tolerant composites with programmable mechanics

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, January 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
14 news outlets
blogs
1 blog
twitter
3 X users
reddit
1 Redditor

Citations

dimensions_citation
210 Dimensions

Readers on

mendeley
370 Mendeley
Title
Rotational 3D printing of damage-tolerant composites with programmable mechanics
Published in
Proceedings of the National Academy of Sciences of the United States of America, January 2018
DOI 10.1073/pnas.1715157115
Pubmed ID
Authors

Jordan R. Raney, Brett G. Compton, Jochen Mueller, Thomas J. Ober, Kristina Shea, Jennifer A. Lewis

Abstract

Natural composites exhibit exceptional mechanical performance that often arises from complex fiber arrangements within continuous matrices. Inspired by these natural systems, we developed a rotational 3D printing method that enables spatially controlled orientation of short fibers in polymer matrices solely by varying the nozzle rotation speed relative to the printing speed. Using this method, we fabricated carbon fiber-epoxy composites composed of volume elements (voxels) with programmably defined fiber arrangements, including adjacent regions with orthogonally and helically oriented fibers that lead to nonuniform strain and failure as well as those with purely helical fiber orientations akin to natural composites that exhibit enhanced damage tolerance. Our approach broadens the design, microstructural complexity, and performance space for fiber-reinforced composites through site-specific optimization of their fiber orientation, strain, failure, and damage tolerance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 370 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 370 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 105 28%
Researcher 45 12%
Student > Master 32 9%
Student > Bachelor 27 7%
Student > Doctoral Student 20 5%
Other 54 15%
Unknown 87 24%
Readers by discipline Count As %
Engineering 128 35%
Materials Science 70 19%
Chemistry 21 6%
Physics and Astronomy 8 2%
Agricultural and Biological Sciences 7 2%
Other 26 7%
Unknown 110 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 105. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 February 2018.
All research outputs
#388,505
of 24,903,209 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#7,032
of 101,975 outputs
Outputs of similar age
#9,269
of 453,258 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#148
of 974 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,975 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 453,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 974 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.