The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Microstructure and mechanical properties of Selective Laser Melted 18Ni-300 steel
Open accessAbstract
Selective Laser Melting (SLM) is an Additive Manufacturing process in which a part is built in a layer by layer manner. A laser source selectively scans the powder bed according to the CAD data of the part to be produced. The high intensity laser beam makes it possible to completely melt the metal powder particles to obtain almost fully dense parts. In this work, the influence of process parameters in SLM (e.g. scan speed and layer thickness) and various age hardening treatments on the microstructure and mechanical properties of 18Ni-300 steel is investigated. It is shown that almost fully dense parts with mechanical properties comparable to those of conventionally produced maraging steel 300 can be produced by SLM.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Selective laser melting of biocompatible metals for rapid manufacturing of medical parts
Vandenbroucke, B., & Kruth, J. (2007) · Rapid Prototyping Journal · doi:10.1108/13552540710776142 · Cited by 981
Self-citation
Cited by
Additive manufacturing of metallic components – Process, structure and properties
DebRoy, T., Wei, H. L., Zuback, J. S., Mukherjee, T., Elmer, J. W., Milewski, J. O., Beese, A. M., Wilson-Heid, A., De, A., & Zhang, W. (2018) · Progress in Materials Science · doi:10.1016/j.pmatsci.2017.10.001 · Cited by 8,805
Additive manufacturing of metals
Herzog, D., Seyda, V., Wycisk, E., & Emmelmann, C. (2016) · Acta Materialia · doi:10.1016/j.actamat.2016.07.019 · Cited by 4,759
Review of selective laser melting: Materials and applications
Yap, C. Y., Chua, C. K., Dong, Z. L., Liu, Z. H., Zhang, D. Q., Loh, L. E., & Sing, S. L. (2015) · Applied Physics Reviews · doi:10.1063/1.4935926 · Cited by 2,353
Steels in additive manufacturing: A review of their microstructure and properties
Bajaj, P., Hariharan, A., Kini, A., Kürnsteiner, P., Raabe, D., & Jägle, E. A. (2020) · Materials Science and Engineering: A · doi:10.1016/j.msea.2019.138633 · Cited by 1,020
Gokuldoss, P. K., Kolla, S., & Eckert, J. (2017) · Materials · doi:10.3390/ma10060672 · Cited by 804
Metadata
- Authors
- Kempen, K., Yasa, E., Thijs, L., Kruth, J.-P., & Van Humbeeck, J.
- Venue
- Physics Procedia
- Publisher
- Elsevier BV
- Published
- 2011
- Volume
- 12
- Pages
- 255-263
- ISSN
- 1875-3892 (ISSN-L)
- OpenAlex
- W2009269886
- Cited by
- 566
- References
- 1
- FWCI
- 10.81
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
