A critical insight into lack-of-fusion pore structures in additively manufactured stainless steel AITranslate
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Despite the obvious advantages of additive manufacturing (AM) in producing metallic parts, defect formation remains a challenge that deleteriously impacts some critical materials properties of AM parts. Here, through electron microscopy and X-ray computed tomography (X-ray CT), new insights are revealed about lack-of-fusion (LOF) pores; the most common defect reported for AM. We show that LOF pores are not simply a void but a complex structure comprising oxide films decorating pore walls and grain refined regions with dislocation structures surrounding the pore. The formation of a thin nanocrystalline metallic layer on the pore wall is also observed. Spatter particles are the source of most LOF structures at high densities typical of recommended processing conditions and can only be eliminated by careful selection of processing parameters. Data constrained modelling, which uses the materials’ properties, was used for generating 3D representations of the complex structure surrounding LOF pores from X-ray CT datasets.
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DOI:https://doi.org/10.1016/j.addma.2020.101762
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Despite the obvious advantages of additive manufacturing (AM) in producing metallic parts, defect formation remains a challenge that deleteriously impacts some critical materials properties of AM parts. Here, through electron microscopy and X-ray computed tomography (X-ray CT), new insights are revealed about lack-of-fusion (LOF) pores; the most common defect reported for AM. We show that LOF pores are not simply a void but a complex structure comprising oxide films decorating pore walls and grain refined regions with dislocation structures surrounding the pore. The formation of a thin nanocrystalline metallic layer on the pore wall is also observed. Spatter particles are the source of most LOF structures at high densities typical of recommended processing conditions and can only be eliminated by careful selection of processing parameters. Data constrained modelling, which uses the materials’ properties, was used for generating 3D representations of the complex structure surrounding LOF pores from X-ray CT datasets.
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| GB/T 7714-2015 | [1] Majid Laleh, Anthony E. Hughes, Sam Yang, et al. Additive Manufacturing, 2021(38). DOI:10.1016/j.addma.2020.101762. |
| MLA | [1] Majid Laleh, et al., Additive Manufacturing, no. 38, 2021, https://doi.org/10.1016/j.addma.2020.101762. |
| APA | [1] Majid Laleh, Anthony E. Hughes, Sam Yang, Jiangting Wang, Jianli Li, A. Matt Glenn, Wei Xu, & Mike Y. Tan. (2021). Additive Manufacturing(38). https://doi.org/10.1016/j.addma.2020.101762 |
| IEEE | [1] Majid Laleh, Anthony E. Hughes, Sam Yang, Jiangting Wang, Jianli Li, A. Matt Glenn, Wei Xu, and Mike Y. Tan, Additive Manufacturing, no. 38, 2021, doi: 10.1016/j.addma.2020.101762. |
