The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Feedback control of Layerwise Laser Melting using optical sensors
Open accessAbstract
Layerwise Laser Melting (LLM) is a layerwise production technique enabling the production of complex metallic parts. Thin powder layers are molten according to a predefined scan pattern by means of a laser source. Nowadays constant process parameters are used throughout the build, leading for some geometries to an overly thick feature size or overheating at downfacing surfaces. In this paper a monitoring and control system is presented which enables monitoring the melt pool continously at high speed throughout the building process. The signals from the sensors can be incorporated in a real-time control loop, in this way enabling feedback control of the process parameters. In this paper the experimental set-up will be first shown. Next the dynamic relation between the melt pool and the process parameters is identified. Finally the proof of concept for feedback control is demonstrated with experimental results.
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
Carslaw, H. S., & Jaeger, J. C. (1947) · International Linear Collider · Cited by 19,877
A study of the microstructural evolution during selective laser melting of Ti–6Al–4V
Thijs, L., Verhaeghe, F., Craeghs, T., Humbeeck, J. V., & Kruth, J.-P. (2010) · Acta Materialia · doi:10.1016/j.actamat.2010.02.004 · Cited by 2,929
Self-citationBinding 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
Self-citationThe Conduction of Heat in Solids
Sproull, R. L. (1962) · Scientific American · doi:10.1038/scientificamerican1262-92 · Cited by 858
Mathematical Theory of Heat Distribution during Welding and Cutting
Rosenthal, D. I. (1941) · Welding Journal · Cited by 736
The manufacturing of hard tools from metallic powders by selective laser melting
Abe, F., Osakada, K., Shiomi, M., Uematsu, K., & Matsumoto, M. (2001) · Journal of Materials Processing Technology · doi:10.1016/s0924-0136(01)00522-2 · Cited by 390
Rapid manufacturing of lattice structures with selective laser melting
Rehme, O., & Emmelmann, C. (2006) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.645848 · Cited by 122
Cited by
King, W. E., Anderson, A. T., Ferencz, R. M., Hodge, N. E., Kamath, C., Khairallah, S. A., & Rubenchik, A. M. (2015) · Applied Physics Reviews · doi:10.1063/1.4937809 · Cited by 1,258
Process defects and in situ monitoring methods in metal powder bed fusion: a review
Grasso, M., & Colosimo, B. M. (2017) · Measurement Science and Technology · doi:10.1088/1361-6501/aa5c4f · Cited by 833
Hybrid additive and subtractive machine tools – Research and industrial developments
Flynn, J. M., Shokrani, A., Newman, S. T., & Dhokia, V. (2016) · International Journal of Machine Tools and Manufacture · doi:10.1016/j.ijmachtools.2015.11.007 · Cited by 459
Klocke, F., Klink, A., Veselovac, D., Aspinwall, D. K., Soo, S. L., Schmidt, M., Schilp, J., Levy, G., & Kruth, J.-P. (2014) · CIRP Annals · doi:10.1016/j.cirp.2014.05.004 · Cited by 417
Self-citationDelic, M., & Eyers, D. R. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107689 · Cited by 325
Metadata
- Authors
- Craeghs, T., Bechmann, F., Berumen, S., & Kruth, J.-P.
- Venue
- Physics Procedia
- Publisher
- Elsevier BV
- Published
- 2010
- Volume
- 5
- Pages
- 505-514
- ISSN
- 1875-3892 (ISSN-L)
- OpenAlex
- W2066240202
- Cited by
- 288
- References
- 7
- FWCI
- 6.69
- 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: Feedback control of Layerwise Laser Melting using optical sensors. https://app.cochat.ai/papers/10.1016/j.phpro.2010.08.078
- The paper
- Craeghs, T., Bechmann, F., Berumen, S., & Kruth, J.-P. (2010). Feedback control of Layerwise Laser Melting using optical sensors. Physics Procedia. https://doi.org/10.1016/j.phpro.2010.08.078
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.