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Additive Manufacturing Technologies Used for Processing Polymers: Current Status and Potential Application in Prosthetic Dentistry
Open accessAbstract
There are 7 categories of additive manufacturing (AM) technologies, and a wide variety of materials can be used to build a CAD 3D object. The present article reviews the main AM processes for polymers for dental applications: stereolithography (SLA), digital light processing (DLP), material jetting (MJ), and material extrusion (ME). The manufacturing process, accuracy, and precision of these methods will be reviewed, as well as their prosthodontic applications.
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Citations
Cited by
Schweiger, J., Edelhoff, D., & Güth, J.-F. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10092010 · Cited by 325
Kim, D., Shim, J.-S., Lee, D., Shin, S.-H., Nam, N.-E., Park, K.-H., Shim, J.-S., & Kim, J.-E. (2020) · Polymers · doi:10.3390/polym12112762 · Cited by 253
Parize, H., Dias Corpa Tardelli, J., Bohner, L., Sesma, N., Muglia, V. A., & Cândido dos Reis, A. (2022) · The Journal of Prosthetic Dentistry · doi:10.1016/j.prosdent.2020.12.008 · Cited by 56
Metadata
- Authors
- Revilla‐León, M., & Özcan, M.
- Venue
- Journal of Prosthodontics
- Publisher
- Wiley
- Published
- 2018-04-22
- Volume
- 28
- Issue
- 2
- Pages
- 146-158
- ISSN
- 1059-941X (ISSN-L)
- 1532-849X
- OpenAlex
- W2801038735
- Cited by
- 639
- References
- 0
- FWCI
- 16.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Additive Manufacturing Technologies Used for Processing Polymers: Current Status and Potential Application in Prosthetic Dentistry. https://app.cochat.ai/papers/10.1111/jopr.12801
- The paper
- Revilla‐León, M., & Özcan, M. (2019). Additive Manufacturing Technologies Used for Processing Polymers: Current Status and Potential Application in Prosthetic Dentistry. Journal of Prosthodontics. https://doi.org/10.1111/jopr.12801
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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.