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Robocasting of structural ceramic parts with hydrogel inks
Open accessAbstract
Abstract Robocasting is a 3D printing technique that may be able to achieve the much-coveted goal of reliable, complex ceramic parts with low porosity and high strength. In this work a robust hydrogel formulation was optimised for use as the extrusion paste for robocasting. The paste’s rheological properties were characterised and the printing process was optimised with the aim of attaining dense monolithic ceramic parts. The pastes exhibit a characteristic shear thinning behaviour with yield stresses that can reach values above 1 kPa and depend mostly on their solid content and the particle size distribution. It is possible to formulate printable Al2O3 and SiC inks with solid contents as high as 40 vol% that reached densities up to 95th% for SiC and 97th% for Al2O3 with flexural strengths of 300 MPa and 230 MPa respectively after sintering. The sources of strength limiting defects are identified and related to the printing process.
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Cited by
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Chen, Z., Li, Z., Li, J., Liu, C., Lao, C., Fu, Y., Liu, C., Li, Y., Wang, P., & He, Y. (2019) · Journal of the European Ceramic Society · doi:10.1016/j.jeurceramsoc.2018.11.013 · Cited by 2,109
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
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Metadata
- Authors
- Feilden, E., Blanca, E. G.-T., Giuliani, F., Saiz, E., & Vandeperre, L.
- Venue
- Journal of the European Ceramic Society
- Publisher
- Elsevier BV
- Published
- 2016-08
- Volume
- 36
- Issue
- 10
- Pages
- 2525-2533
- ISSN
- 0955-2219 (ISSN-L)
- OpenAlex
- W2296932825
- Cited by
- 378
- References
- 0
- FWCI
- 21.36
- Type
- journal article
- Language
- en
- Open access
- green
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- Feilden, E., Blanca, E. G.-T., Giuliani, F., Saiz, E., & Vandeperre, L. (2016). Robocasting of structural ceramic parts with hydrogel inks. Journal of the European Ceramic Society. https://doi.org/10.1016/j.jeurceramsoc.2016.03.001
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
