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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
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
14 news outlets
blogs
1 blog
twitter
4 tweeters
reddit
1 Redditor

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
293 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.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 293 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 293 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 32%
Researcher 42 14%
Student > Master 27 9%
Student > Bachelor 27 9%
Student > Doctoral Student 18 6%
Other 44 15%
Unknown 41 14%
Readers by discipline Count As %
Engineering 113 39%
Materials Science 65 22%
Chemistry 19 6%
Agricultural and Biological Sciences 6 2%
Physics and Astronomy 6 2%
Other 22 8%
Unknown 62 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 109. 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
#229,211
of 17,816,628 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#4,882
of 90,046 outputs
Outputs of similar age
#7,579
of 376,541 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#131
of 928 outputs
Altmetric has tracked 17,816,628 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 90,046 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.5. This one has done particularly well, scoring higher than 94% 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 376,541 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 98% of its contemporaries.
We're also able to compare this research output to 928 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.