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



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.

Full description in the file "ZhuReadme.txt".

Funding information
Sponsorship: 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
Date made available2020
PublisherData Repository for the University of Minnesota
Date of data productionSep 1 2017 - Apr 1 2018

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