The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
Recent progress on additive manufacturing of multi-material structures with laser powder bed fusion
Open accessAbstract
Laser powder bed fusion (LPBF) additive manufacturing has been advancing in the fabrication of metallic multi-material structures with intricate structures and refined material layouts. Herein, a comprehensive review of the recent achievements of multi-material structures via LPBF is provided in terms of interface characteristics and strengthening methods, critical technical issues and potential applications. It begins with the introduction of multi-material structures and the scope of the review. The interface characteristics (including representative multi-material types printed by LPBF, interfacial microstructure, defects, etc.) and strengthening methods of multi-material structures are then presented. Thereafter, the critical technical issues in LPBF for multi-material structures are discussed with regard to equipment development, data preparation, thermodynamic calculation and process simulation, and powder cross-contamination and recycling. Moreover, the potential applications (particularly in biomedical, electronic, aerospace) are illustrated and discussed. Finally, the outlook is outlined to provide guidance for future research.
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Cites
3D printing of high-strength aluminium alloys
Martin, J. H., Yahata, B. D., Hundley, J. M., Mayer, J. A., Schaedler, T. A., & Pollock, T. M. (2017) · Nature · doi:10.1038/nature23894 · Cited by 2,950
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
Material-structure-performance integrated laser-metal additive manufacturing
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Additive manufacturing of multi-material structures
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Zhao, C., Fezzaa, K., Cunningham, R. W., Wen, H., De Carlo, F., Chen, L., Rollett, A. D., & Sun, T. (2017) · Scientific Reports · doi:10.1038/s41598-017-03761-2 · Cited by 758
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Multi‐Material 3D and 4D Printing: A Survey
Rafiee, M., Farahani, R. D., & Therriault, D. (2020) · Advanced Science · doi:10.1002/advs.201902307 · Cited by 662
A review on machine learning in 3D printing: applications, potential, and challenges
Goh, G. D., Sing, S. L., & Yeong, W. Y. (2021) · Artificial Intelligence Review · doi:10.1007/s10462-020-09876-9 · Cited by 652
Additive manufacturing of metals: Microstructure evolution and multistage control
Liu, Z., Zhao, D., Wang, P., Yan, M., Yang, C., Chen, Z., Lü, J., & Lü, Z. (2021) · Journal of Material Science and Technology · doi:10.1016/j.jmst.2021.06.011 · Cited by 649
Additive manufacturing of functionally graded materials: A review
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Cited by
Nazir, A., Gokcekaya, O., Md Masum Billah, K., Ertugrul, O., Jiang, J., Sun, J., & Hussain, S. (2023) · Materials & Design · doi:10.1016/j.matdes.2023.111661 · Cited by 773
Bareth, T., Eder, D., Lehmann, M., Schlick, G., & Seidel, C. (2025) · Materials & Design · doi:10.1016/j.matdes.2025.114010 · Cited by 3
Metadata
- Authors
- Wang, D., Liu, L., Deng, G., Deng, C., Bai, Y., Yang, Y., Wu, W., Chen, J., Liu, Y., Wang, Y., Lin, X., & Han, C.
- Venue
- Virtual and Physical Prototyping
- Publisher
- Informa UK Limited
- Published
- 2022-02-03
- Volume
- 17
- Issue
- 2
- Pages
- 329-365
- ISSN
- 1745-2759 (ISSN-L)
- 1745-2767
- OpenAlex
- W4210472834
- Cited by
- 363
- References
- 77
- FWCI
- 26.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Wang, D., Liu, L., Deng, G., Deng, C., Bai, Y., Yang, Y., Wu, W., Chen, J., Liu, Y., Wang, Y., Lin, X., & Han, C. (2022). Recent progress on additive manufacturing of multi-material structures with laser powder bed fusion. Virtual and Physical Prototyping. https://doi.org/10.1080/17452759.2022.2028343
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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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