The DOI matches its Crossref record; 230 of the 230 references it cites were found in a registry or an index.
Laser-based directed energy deposition (DED-LB) of advanced materials
Open accessAbstract
Directed energy deposition (DED) has matured into an essential additive manufacturing (AM) branch. DED has been broadly implemented in the design and fabrication of novel materials. These include metals, ceramics, and composites. Successful DED operation requires a good understanding of many critical phenomena, including laser-material interactions, fundamentals of casting and solidification of alloys, welding metallurgy and joining interfaces, along with microstructure-mechanical properties relations. Also critical are powder flowability, heat transfer, and various machine-related parameters. Several review articles have been published in recent years on metal AM via powder bed fusion (PBF) and DED, focusing on either a specific material system, mapping the recent technologies for AM, or issues related to the deposition process or material properties. Yet, no recent review is dedicated to a comprehensive presentation of material systems, design, fabrication, challenges, and the relationship between microstructures and mechanical properties of various DED’ed material families. Since the DED-based approach is becoming popular to manufacture bimetallic and multi-material structures, repair highvalue structures, and alloy design, this comprehensive review focuses on materials design via DED, including a survey of a variety of monolithic and multi-material compositions. Finally, the critical challenges and opportunities in this area are highlighted.
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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
Microstructures and properties of high-entropy alloys
Zhang, Y., Zuo, T. T., Tang, Z., Gao, M. C., Dahmen, K. A., Liaw, P. K., & Lu, Z. P. (2014) · Progress in Materials Science · doi:10.1016/j.pmatsci.2013.10.001 · Cited by 7,128
A fracture-resistant high-entropy alloy for cryogenic applications
Gludovatz, B., Hohenwarter, A., Catoor, D., Chang, E. H., George, E. P., & Ritchie, R. O. (2014) · Science · doi:10.1126/science.1254581 · Cited by 5,714
George, E. P., Raabe, D., & Ritchie, R. O. (2019) · Nature Reviews Materials · doi:10.1038/s41578-019-0121-4 · Cited by 5,047
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
High-Entropy Alloys: A Critical Review
Tsai, M.-H., & Yeh, J.-W. (2014) · Materials Research Letters · doi:10.1080/21663831.2014.912690 · Cited by 3,477
High-entropy alloy: challenges and prospects
Ye, Y. F., Wang, Q., Lu, J., Liu, C. T., & Yang, Y. (2016) · Materials Today · doi:10.1016/j.mattod.2015.11.026 · Cited by 3,016
Additive manufacturing of Ti6Al4V alloy: A review
Liu, S., & Shin, Y. C. (2019) · Materials & Design · doi:10.1016/j.matdes.2018.107552 · Cited by 2,472
Metal additive manufacturing in aerospace: A review
Blakey-Milner, B., Gradl, P., Snedden, G., Brooks, M., Pitot, J., Lopez, E., Leary, M., Berto, F., & du Plessis, A. (2021) · Materials & Design · doi:10.1016/j.matdes.2021.110008 · Cited by 2,263
Fundamentals of modern manufacturing
Groover, M. P. (1996) · Cited by 1,841
Metadata
- Authors
- Svetlizky, D., Zheng, B., Vyatskikh, A., Das, M., Bose, S., Bandyopadhyay, A., Schoenung, J. M., Lavernia, E. J., & Eliaz, N.
- Venue
- Materials Science and Engineering: A
- Publisher
- Elsevier BV
- Published
- 2022-04
- Volume
- 840
- Pages
- 142967
- ISSN
- 0921-5093 (ISSN-L)
- OpenAlex
- W4221084942
- Cited by
- 331
- References
- 230
- FWCI
- 24.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Svetlizky, D., Zheng, B., Vyatskikh, A., Das, M., Bose, S., Bandyopadhyay, A., Schoenung, J. M., Lavernia, E. J., & Eliaz, N. (2022). Laser-based directed energy deposition (DED-LB) of advanced materials. Materials Science and Engineering: A. https://doi.org/10.1016/j.msea.2022.142967
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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