The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Microstructure modelling for metallic additive manufacturing: a review
Open accessAbstract
The microstructure of metals depends on the additive manufacturing (AM) process and the process parameters. However, experimentation on different process parameters for different materials is costly and time-consuming. To overcome these challenges, numerical simulations provide insights that allow prediction of microstructure formed under different process parameters. Microstructure modelling requires coupling of macro-scale thermal model or experimentally measured temperature profiles with either a meso-scale or micro-scale microstructure model. In this review, the commonly used AM techniques for metals are introduced, followed by a discussion on the microstructure of parts fabricated using these processes. This review then presents the latest models used in simulating different microstructural aspects of metal AM parts. In addition, the models were compared and the potential and challenges in microstructure modelling were discussed.
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Citations
Cites
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Cited by
Multi-scale defects in powder-based additively manufactured metals and alloys
Fu, J., Li, H., Song, X., & Fu, M. W. (2022) · Journal of Materials Science & Technology · doi:10.1016/j.jmst.2022.02.015 · Cited by 391
Recent progress on additive manufacturing of multi-material structures with laser powder bed fusion
Wang, D., Liu, L., Deng, G., Deng, C., Bai, Y., Yang, Y., Wu, W., Chen, J., Liu, Y., Wang, Y., et al. (2022) · Virtual and Physical Prototyping · doi:10.1080/17452759.2022.2028343 · Cited by 363
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
Sing, S. L., Huang, S., Goh, G. D., Goh, G. L., Tey, C. F., Tan, J. H. K., & Yeong, W. Y. (2021) · Progress in Materials Science · doi:10.1016/j.pmatsci.2021.100795 · Cited by 328
Self-citationWei, C., & Li, L. (2021) · Virtual and Physical Prototyping · doi:10.1080/17452759.2021.1928520 · Cited by 316
Metadata
- Authors
- Tan, J. H. K., Sing, S. L., & Yeong, W. Y.
- Venue
- Virtual and Physical Prototyping
- Publisher
- Informa UK Limited
- Published
- 2019-10-23
- Volume
- 15
- Issue
- 1
- Pages
- 87-105
- ISSN
- 1745-2759 (ISSN-L)
- 1745-2767
- OpenAlex
- W2981593109
- Cited by
- 266
- References
- 74
- FWCI
- 19.26
- Type
- journal article
- Language
- en
- Open access
- green
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- Tan, J. H. K., Sing, S. L., & Yeong, W. Y. (2020). Microstructure modelling for metallic additive manufacturing: a review. Virtual and Physical Prototyping. https://doi.org/10.1080/17452759.2019.1677345
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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.
