Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Supporting data for "3D Printed Functional and Biological Materials on Moving Freeform Surfaces"

Loading...
Thumbnail Image
Statistics
View Statistics

Collection period

2017-09-01
2018-04-01

Date completed

2020-05-12

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Supporting data for "3D Printed Functional and Biological Materials on Moving Freeform Surfaces"

Published Date

2020-05-13

Author Contact

McAlpine, Michael C
mcalpine@umn.edu

Type

Dataset
Experimental Data

Abstract

The data set includes the experimental data supporting the results reported in Zhu, Zhijie, Shuang‐Zhuang Guo, Tessa Hirdler, Cindy Eide, Xiaoxiao Fan, Jakub Tolar, and Michael C. McAlpine. "3D printed functional and biological materials on moving freeform surfaces." Advanced Materials, 30(23), 1707495. Conventional 3D printing technologies typically rely on open‐loop, calibrate‐then‐print operation procedures. An alternative approach is adaptive 3D printing, which is a closed‐loop method that combines real‐time feedback control and direct ink writing of functional materials in order to fabricate devices on moving freeform surfaces. Here, it is demonstrated that the changes of states in the 3D printing workspace in terms of the geometries and motions of target surfaces can be perceived by an integrated robotic system aided by computer vision. A hybrid fabrication procedure combining 3D printing of electrical connects with automatic pick‐and‐placing of surface‐mounted electronic components yields functional electronic devices on a free‐moving human hand. Using this same approach, cell‐laden hydrogels are also printed on live mice, creating a model for future studies of wound‐healing diseases. This adaptive 3D printing method may lead to new forms of smart manufacturing technologies for directly printed wearable devices on the body and for advanced medical treatments.

Description

Full description in the file "ZhuReadme.txt".

Referenced by

Zhu, Z., Guo, S.‐Z., Hirdler, T., Eide, C., Fan, X., Tolar, J., McAlpine, M. C., Adv. Mater. 2018, 30, 1707495.
https://doi.org/10.1002/adma.201707495

Related to

Replaces

item.page.isreplacedby

Publisher

Funding information

National Institutes of Health, Grant 1DP2EB020537
Regenerative Medicine Minnesota, Grant RMM102516006
National Institutes of Health, Grant R01AR063070
The graduate school of the University of Minnesota, 2017-18 Interdisciplinary Doctoral Fellowship

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested citation

Zhu, Zhijie; Guo, Shuang-Zhuang; Hirdler, Tessa; Eide, Cindy; Fan, Xiaoxiao; Tolar, Jakub; McAlpine, Michael C. (2020). Supporting data for "3D Printed Functional and Biological Materials on Moving Freeform Surfaces". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/ch4p-mc89.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.