The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Additive manufacturing of functionally graded metallic materials using laser metal deposition
Open accessAbstract
Abstract Functionally graded materials (FGMs) have attracted much research interest in the industry due to their graded material properties, which result from gradually distributed compositions or structures. In recent years, metallic FGMs have been widely studied, and additive manufacturing (AM) has become an important approach to build metallic FGMs. This paper aims to provide an overview of the research progress in metallic FGMs fabricated by laser metal deposition (LMD), an AM process that is widely used in metallic materials. Firstly, the unique material properties and advantages of FGMs are introduced. Then, typical recent findings in transition path design, fabrication, and characterization for different types of metallic FGMs via LMD are summarized and discussed. Finally, challenges in fabricating metallic FGMs via LMD are discussed, and other related aspects in the area of FGMs such as model representation and numerical simulation are proposed for further investigation.
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
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
Metal Additive Manufacturing: A Review
Frazier, W. E. (2014) · Journal of Materials Engineering and Performance · doi:10.1007/s11665-014-0958-z · Cited by 5,984
DeVierno, A., Thorn, B. K., & Carrano, A. L. (2013) · DigitalCommons - Fairfield (Fairfield University) · Cited by 1,457
Additive manufacturing of multi-material structures
Bandyopadhyay, A., & Heer, B. (2018) · Materials Science and Engineering: R: Reports · doi:10.1016/j.mser.2018.04.001 · Cited by 1,029
Functionally graded materials: A review of fabrication and properties
Naebe, M., & Shirvanimoghaddam, K. (2016) · Applied Materials Today · doi:10.1016/j.apmt.2016.10.001 · Cited by 986
Processing techniques for functionally graded materials
Kieback, B., Neubrand, A., & Riedel, H. (2003) · Materials Science and Engineering: A · doi:10.1016/s0921-5093(03)00578-1 · Cited by 979
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
Maskery, I., Aboulkhair, N. T., Aremu, A. O., Tuck, C. J., Ashcroft, I. A., Wildman, R. D., & Hague, R. J. M. (2016) · Materials Science and Engineering: A · doi:10.1016/j.msea.2016.06.013 · Cited by 706
Carroll, B. E., Otis, R., Borgonia, J. P., Suh, J.-O., Dillon, R. P., Shapiro, A. A., Hofmann, D. C., Liu, Z., & Beese, A. M. (2016) · Acta Materialia · doi:10.1016/j.actamat.2016.02.019 · Cited by 657
Functionally graded materials for biomedical applications
Pompe, W., Worch, H., Epple, M., Friess, W., Gelinsky, M., Greil, P., Hempel, U., Scharnweber, D., & Schulte, K. (2003) · Materials Science and Engineering: A · doi:10.1016/s0921-5093(03)00580-x · Cited by 575
Cited by
A review of topology optimization for additive manufacturing: Status and challenges
ZHU, J., ZHOU, H., WANG, C., ZHOU, L., YUAN, S., & ZHANG, W. (2021) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2020.09.020 · Cited by 874
Directed Energy Deposition (DED) Process: State of the Art
Ahn, D.-G. (2021) · International Journal of Precision Engineering and Manufacturing-Green Technology · doi:10.1007/s40684-020-00302-7 · Cited by 803
Additive manufacturing of metamaterials: A review
Askari, M., Hutchins, D. A., Thomas, P. J., Astolfi, L., Watson, R. L., Abdi, M., Ricci, M., Laureti, S., Nie, L., Freear, S., et al. (2020) · Additive Manufacturing · doi:10.1016/j.addma.2020.101562 · Cited by 470
Laser-based directed energy deposition (DED-LB) of advanced materials
Svetlizky, D., Zheng, B., Vyatskikh, A., Das, M., Bose, S., Bandyopadhyay, A., Schoenung, J. M., Lavernia, E. J., & Eliaz, N. (2022) · Materials Science and Engineering: A · doi:10.1016/j.msea.2022.142967 · Cited by 331
Design, printing, and engineering of regenerative biomaterials for personalized bone healthcare
Jia, Z., Xu, X., Zhu, D., & Zheng, Y. (2023) · Progress in Materials Science · doi:10.1016/j.pmatsci.2023.101072 · Cited by 176
Metadata
- Authors
- Yan, L., Chen, Y., & Liou, F.
- Venue
- Additive Manufacturing
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 31
- Pages
- 100901
- ISSN
- 2214-7810 (ISSN-L)
- 2214-8604
- OpenAlex
- W2985248673
- Cited by
- 367
- References
- 28
- FWCI
- 20.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Additive manufacturing of functionally graded metallic materials using laser metal deposition. https://app.cochat.ai/papers/10.1016/j.addma.2019.100901
- The paper
- Yan, L., Chen, Y., & Liou, F. (2020). Additive manufacturing of functionally graded metallic materials using laser metal deposition. Additive Manufacturing. https://doi.org/10.1016/j.addma.2019.100901
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.