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Numerical prediction of temperature and density distributions in selective laser sintering processes
Open accessAbstract
A finite element model has been developed for the 3D simulation of the sintering of a single track during a selective laser sintering process (SLS). The model takes into account both the thermal and the sintering phenomena involved in the process. Owing to the continuous movement of the laser beam the model takes also into account the transient nature of the problem. This is transformed into a pseudo‐static one through a transformation of the coordinates system of the equations. Nevertheless, this transformation introduces a convective term into the heat equations that produces instabilities in the solution. These instabilities have been solved by using a stream upwind Petrov Galerkin (SUPG) strategy together with a shock capturing scheme. Finally, a fixed point strategy is used for the solution of the analysis. The model has been tested through the solution of some examples.
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Cited by
Evaluation of 3D Printing and Its Potential Impact on Biotechnology and the Chemical Sciences
Gross, B. C., Erkal, J. L., Lockwood, S. Y., Chen, C., & Spence, D. M. (2014) · Analytical Chemistry · doi:10.1021/ac403397r · Cited by 1,746
Selective laser sintering in biomedical engineering
Mazzoli, A. (2013) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-012-1001-x · Cited by 469
Mesoscopic simulation of selective beam melting processes
Körner, C., Attar, E., & Heinl, P. (2011) · Journal of Materials Processing Technology · doi:10.1016/j.jmatprotec.2010.12.016 · Cited by 450
Selective laser sintering: A qualitative and objective approach
Kumar, S. (2003) · JOM · doi:10.1007/s11837-003-0175-y · Cited by 398
Recent Advances in Analytical Chemistry by 3D Printing
Gross, B., Lockwood, S. Y., & Spence, D. M. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.6b04344 · Cited by 359
Metadata
- Authors
- Bugeda Miguel Cervera, G., & Lombera, G.
- Venue
- Rapid Prototyping Journal
- Publisher
- Emerald
- Published
- 1999-03-01
- Volume
- 5
- Issue
- 1
- Pages
- 21-26
- ISSN
- 1355-2546 (ISSN-L)
- OpenAlex
- W2069204747
- Cited by
- 168
- References
- 0
- FWCI
- 5.43
- Type
- journal article
- Language
- en
- Open access
- green
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- Bugeda Miguel Cervera, G., & Lombera, G. (1999). Numerical prediction of temperature and density distributions in selective laser sintering processes. Rapid Prototyping Journal. https://doi.org/10.1108/13552549910251846
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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.