The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Influence of process parameters on surface roughness of aluminum parts produced by DMLS
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Citations
Cites
Selective laser melting of iron-based powder
Kruth, J. P., Froyen, L., Van Vaerenbergh, J., Mercelis, P., Rombouts, M., & Lauwers, B. (2004) · Journal of Materials Processing Technology · doi:10.1016/j.jmatprotec.2003.11.051 · Cited by 1,550
Steen, W. M. (1998) · Springer eBooks · doi:10.1007/978-1-4471-3609-5 · Cited by 1,547
Introduction to Quality Engineering
(2008) · WORLD SCIENTIFIC eBooks · doi:10.1142/9789812778697_0001 · Cited by 1,508
Consolidation phenomena in laser and powder-bed based layered manufacturing
Kruth, J.-P., Levy, G., Klocke, F., & Childs, T. H. C. (2007) · CIRP Annals · doi:10.1016/j.cirp.2007.10.004 · Cited by 1,444
Rapid Prototyping, Principles and Applications
(2010) · Assembly Automation · doi:10.1108/aa.2010.03330dae.001 · Cited by 692
Rapid Manufacturing: An Industrial Revolution for the Digital Age
(2005) · Wiley eBooks · doi:10.1002/0470033991 · Cited by 679
Spierings, A. B., Herres, N., & Levy, G. (2011) · Rapid Prototyping Journal · doi:10.1108/13552541111124770 · Cited by 614
Direct laser sintering of metal powders: Mechanism, kinetics and microstructural features
Simchi, A. (2006) · Materials Science and Engineering: A · doi:10.1016/j.msea.2006.04.117 · Cited by 590
Material properties and fabrication parameters in selective laser sintering process
Gibson, I., & Shi, D. (1997) · Rapid Prototyping Journal · doi:10.1108/13552549710191836 · Cited by 488
Rapid Prototyping: Principles and Applications (with Companion CD-ROM)
Chua, C. K., Leong, K. F., & Lim, C. S. (2003) · WORLD SCIENTIFIC eBooks · doi:10.1142/5064 · Cited by 413
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
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
Prediction of surface roughness in extrusion-based additive manufacturing with machine learning
Li, Z., Zhang, Z., Shi, J., & Wu, D. (2019) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2019.01.004 · Cited by 432
From Topology Optimization Design to Additive Manufacturing: Today’s Success and Tomorrow’s Roadmap
Meng, L., Zhang, W., Quan, D., Shi, G., Tang, L., Hou, Y., Breitkopf, P., Zhu, J., & Gao, T. (2020) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-019-09331-1 · Cited by 402
State-of-the-art in heat exchanger additive manufacturing
Kaur, I., & Singh, P. (2021) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2021.121600 · Cited by 319
Metadata
- Authors
- Calignano, F., Manfredi, D., Ambrosio, E. P., Iuliano, L., & Fino, P.
- Venue
- The International Journal of Advanced Manufacturing Technology
- Published
- 2012-12-30
- Volume
- 67
- Issue
- 9-12
- Pages
- 2743-2751
- ISSN
- 0268-3768 (ISSN-L)
- 1433-3015
- OpenAlex
- W2013024365
- Cited by
- 469
- References
- 19
- FWCI
- 14.21
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Influence of process parameters on surface roughness of aluminum parts produced by DMLS. https://app.cochat.ai/papers/10.1007/s00170-012-4688-9
- The paper
- Calignano, F., Manfredi, D., Ambrosio, E. P., Iuliano, L., & Fino, P. (2013). Influence of process parameters on surface roughness of aluminum parts produced by DMLS. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-012-4688-9
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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.
