The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Review on thermal analysis in laser-based additive manufacturing
Abstract
Abstract Laser-based Additive Manufacturing (LAM) has been widely used in different industries. However, the quality and repeatability of the components and parts produced by LAM have hindered the spread of this technique. The better understanding of the LAM underlying mechanism can provide insight into acquiring high-quality products. Among researches on underlying physics, there are efforts to study the thermal behavior, as one important part of the complex mechanisms, and its influence on the product quality. This review is presented to comprehensively analyze different approaches to study the thermal behavior. The relationship between thermal behavior and product quality is identified and some recommendations for future research are discussed.
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Cites
Metal Additive Manufacturing: A Review
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Liu, M., Tang, W., Duan, W., Li, S., Dou, R., Wang, G., Liu, B., & Wang, L. (2019) · Ceramics International · doi:10.1016/j.ceramint.2018.12.049 · Cited by 85
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Dou, R., Tang, W., Hu, K., & Wang, L. (2022) · Journal of the European Ceramic Society · doi:10.1016/j.jeurceramsoc.2022.03.030 · Cited by 49
Jabri, F.-E., Ouballouch, A., Lasri, L., & El Alaiji, R. (2025) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-025-15995-w · Cited by 5
Metadata
- Authors
- Yan, Z., Liu, W., Tang, Z., Liu, X., Zhang, N., Li, M., & Zhang, H.
- Venue
- Optics & Laser Technology
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 106
- Pages
- 427-441
- ISSN
- 0030-3992 (ISSN-L)
- OpenAlex
- W2800291091
- Cited by
- 257
- References
- 54
- FWCI
- 14.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yan, Z., Liu, W., Tang, Z., Liu, X., Zhang, N., Li, M., & Zhang, H. (2018). Review on thermal analysis in laser-based additive manufacturing. Optics & Laser Technology. https://doi.org/10.1016/j.optlastec.2018.04.034
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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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