The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
3D Printed Functional and Biological Materials on Moving Freeform Surfaces
Open accessAbstract
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.
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Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087
A soft, wearable microfluidic device for the capture, storage, and colorimetric sensing of sweat
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Graphene-based wireless bacteria detection on tooth enamel
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Self-citationWearable Haptic Systems for the Fingertip and the Hand: Taxonomy, Review, and Perspectives
Pacchierotti, C., Sinclair, S., Solazzi, M., Frisoli, A., Hayward, V., & Prattichizzo, D. (2017) · IEEE Transactions on Haptics · doi:10.1109/toh.2017.2689006 · Cited by 825
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3D printed anatomical nerve regeneration pathways
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Yang, J. C., Mun, J., Kwon, S. Y., Park, S., Bao, Z., & Park, S. (2019) · Advanced Materials · doi:10.1002/adma.201904765 · Cited by 1,641
Liang, Y., Li, Z., Huang, Y., Yu, R., & Guo, B. (2021) · ACS Nano · doi:10.1021/acsnano.1c00204 · Cited by 1,083
Seoane-Viaño, I., Januskaite, P., Alvarez-Lorenzo, C., Basit, A. W., & Goyanes, A. (2021) · Journal of Controlled Release · doi:10.1016/j.jconrel.2021.02.027 · Cited by 357
Ershad, F., Thukral, A., Yue, J., Comeaux, P., Lu, Y., Shim, H., Sim, K., Kim, N.-I., Rao, Z., Guevara, R., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17619-1 · Cited by 355
Zhu, Z., Ng, D. W. H., Park, H. S., & McAlpine, M. C. (2020) · Nature Reviews Materials · doi:10.1038/s41578-020-00235-2 · Cited by 348
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Metadata
- Authors
- Zhu, Z., Guo, S., Hirdler, T., Eide, C., Fan, X., Tolar, J., & McAlpine, M. C.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2018-04-25
- Volume
- 30
- Issue
- 23
- Pages
- e1707495-e1707495
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2800350880
- Cited by
- 245
- References
- 6
- FWCI
- 11.69
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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