The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Surface Morphology in Selective Laser Melting of Metal Powders
Open accessAbstract
Selective Laser Melting (SLM) is a powder-based additive manufacturing capable to produce parts layer-by-layer from a 3D CAD model. Currently there is a growing interest in industry for applying this technology for generating objects with high geometrical complexity. To introduce SLM process into industry for manufacturing real components, high mechanical properties of final product must be achieved. Properties of the manufactured parts depend strongly on each single laser-melted track and each single layer, as well as the strength of the connections between them. In this study, effects of the processing parameters such as hatch distance on surface morphology are analyzed.
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
Binding mechanisms in selective laser sintering and selective laser melting
Kruth, J., Mercelis, P., Van Vaerenbergh, J., Froyen, L., & Rombouts, M. (2005) · Rapid Prototyping Journal · doi:10.1108/13552540510573365 · Cited by 1,383
Single track formation in selective laser melting of metal powders
Yadroitsev, I., Gusarov, A., Yadroitsava, I., & Smurov, I. (2010) · Journal of Materials Processing Technology · doi:10.1016/j.jmatprotec.2010.05.010 · Cited by 827
Self-citationParametric analysis of the selective laser melting process
Yadroitsev, I., Bertrand, P., & Smurov, I. (2007) · Applied Surface Science · doi:10.1016/j.apsusc.2007.02.088 · Cited by 650
Self-citationMullen, L., Stamp, R. C., Brooks, W. K., Jones, E., & Sutcliffe, C. J. (2009) · Journal of Biomedical Materials Research Part B: Applied Biomaterials · doi:10.1002/jbm.b.31219 · Cited by 410
Sintering of commercially pure titanium powder with a Nd:YAG laser source
Fischer, P., Romano, V., Weber, H. P., Karapatis, N. P., Boillat, É., & Glardon, R. (2003) · Acta Materialia · doi:10.1016/s1359-6454(02)00567-0 · Cited by 365
Yadroitsev, I., Thivillon, L., Bertrand, P., & Smurov, I. (2007) · Applied Surface Science · doi:10.1016/j.apsusc.2007.08.046 · Cited by 351
Self-citationWarnke, P. H., Douglas, T., Wollny, P., Sherry, E., Steiner, M., Galonska, S., Becker, S. T., Springer, I. N., Wiltfang, J., & Sivananthan, S. (2009) · Tissue Engineering Part C: Methods · doi:10.1089/ten.tec.2008.0288 · Cited by 305
Research on the processing experiments of laser metal deposition shaping
Zhang, K., Liu, W., & Shang, X. (2005) · Optics & Laser Technology · doi:10.1016/j.optlastec.2005.10.009 · Cited by 216
Mapping and Modelling Single Scan Track Formation in Direct Metal Selective Laser Melting
Childs, T. H. C., Hauser, C., & Badrossamay, M. (2004) · CIRP Annals · doi:10.1016/s0007-8506(07)60676-3 · Cited by 122
Cited by
Prashanth, K. G., Scudino, S., Klauss, H. J., Surreddi, K. B., Löber, L., Wang, Z., Chaubey, A. K., Kühn, U., & Eckert, J. (2014) · Materials Science and Engineering: A · doi:10.1016/j.msea.2013.10.023 · Cited by 803
du Plessis, A., Yadroitsev, I., Yadroitsava, I., & Le Roux, S. G. (2018) · 3D Printing and Additive Manufacturing · doi:10.1089/3dp.2018.0060 · Cited by 550
Self-citationSurface post-treatments for metal additive manufacturing: Progress, challenges, and opportunities
Maleki, E., Bagherifard, S., Bandini, M., & Guagliano, M. (2021) · Additive Manufacturing · doi:10.1016/j.addma.2020.101619 · Cited by 528
Uriondo, A., Esperon-Miguez, M., & Perinpanayagam, S. (2015) · Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering · doi:10.1177/0954410014568797 · Cited by 489
Sliding Wear Characteristics and Corrosion Behaviour of Selective Laser Melted 316L Stainless Steel
Sun, Y., Moroz, A., & Alrbaey, K. (2014) · Journal of Materials Engineering and Performance · doi:10.1007/s11665-013-0784-8 · Cited by 286
Metadata
- Authors
- Yadroitsev, I., & Smurov, I.
- Venue
- Physics Procedia
- Publisher
- Elsevier BV
- Published
- 2011
- Volume
- 12
- Pages
- 264-270
- ISSN
- 1875-3892 (ISSN-L)
- OpenAlex
- W1981603550
- Cited by
- 349
- References
- 9
- FWCI
- 12.52
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Surface Morphology in Selective Laser Melting of Metal Powders. https://app.cochat.ai/papers/10.1016/j.phpro.2011.03.034
- The paper
- Yadroitsev, I., & Smurov, I. (2011). Surface Morphology in Selective Laser Melting of Metal Powders. Physics Procedia. https://doi.org/10.1016/j.phpro.2011.03.034
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.
