Optimum corrosion performance using microstructure design and additive manufacturing process control
Abstract Compatibility of traditional metallic alloys, particularly 316 L stainless steel, with additive manufacturing (AM) processes, is essential for industrial applications. This involves manipulating process parameters to design microstructures at various length scales, achieving desired propert...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | npj Materials Degradation |
| Online Access: | https://doi.org/10.1038/s41529-024-00548-5 |
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| _version_ | 1850087453044506624 |
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| author | Parisa Moazzen Ayda Shahriari SeyedAmirReza Shamsdini Payam Seraj Foroozan Forooghi Yahya Aghayar Sajad Shakerin Mackenzie Remington Purdy Mohsen Mohammadi |
| author_facet | Parisa Moazzen Ayda Shahriari SeyedAmirReza Shamsdini Payam Seraj Foroozan Forooghi Yahya Aghayar Sajad Shakerin Mackenzie Remington Purdy Mohsen Mohammadi |
| author_sort | Parisa Moazzen |
| collection | DOAJ |
| description | Abstract Compatibility of traditional metallic alloys, particularly 316 L stainless steel, with additive manufacturing (AM) processes, is essential for industrial applications. This involves manipulating process parameters to design microstructures at various length scales, achieving desired properties for high-performance components. In this study, a hierarchical design approach was used for LPBF 316 L parts, achieving cell sizes of 400 to 900 nm confined within grains of 40 to 60 μm. Findings showed that varying scan strategies with constant energy input produced high-density components, with the smallest grain and cell size achieved in the continuous scan strategy. In addition, equations were developed to connect energy density with grain size for LPBF-316L, highlighting optimal scanning strategies. Furthermore, the correlation between microstructural features and corrosion behavior, focusing on electrochemical properties, was explored by adjusting key LPBF process parameters. The results suggested a Hall-Petch relationship between grain size and corrosion rate, indicating that smaller grains and cells reduce corrosion rates by affecting electrochemical behavior. |
| format | Article |
| id | doaj-art-ae52d1a5a959425c8b3a16ae8ef0c0c0 |
| institution | DOAJ |
| issn | 2397-2106 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Materials Degradation |
| spelling | doaj-art-ae52d1a5a959425c8b3a16ae8ef0c0c02025-08-20T02:43:13ZengNature Portfolionpj Materials Degradation2397-21062025-02-019111810.1038/s41529-024-00548-5Optimum corrosion performance using microstructure design and additive manufacturing process controlParisa Moazzen0Ayda Shahriari1SeyedAmirReza Shamsdini2Payam Seraj3Foroozan Forooghi4Yahya Aghayar5Sajad Shakerin6Mackenzie Remington Purdy7Mohsen Mohammadi8Marine Additive Manufacturing Centre of Excellence (MAMCE), University of New BrunswickMarine Additive Manufacturing Centre of Excellence (MAMCE), University of New BrunswickMarine Additive Manufacturing Centre of Excellence (MAMCE), University of New BrunswickMarine Additive Manufacturing Centre of Excellence (MAMCE), University of New BrunswickMarine Additive Manufacturing Centre of Excellence (MAMCE), University of New BrunswickMarine Additive Manufacturing Centre of Excellence (MAMCE), University of New BrunswickMarine Additive Manufacturing Centre of Excellence (MAMCE), University of New BrunswickMarine Additive Manufacturing Centre of Excellence (MAMCE), University of New BrunswickMarine Additive Manufacturing Centre of Excellence (MAMCE), University of New BrunswickAbstract Compatibility of traditional metallic alloys, particularly 316 L stainless steel, with additive manufacturing (AM) processes, is essential for industrial applications. This involves manipulating process parameters to design microstructures at various length scales, achieving desired properties for high-performance components. In this study, a hierarchical design approach was used for LPBF 316 L parts, achieving cell sizes of 400 to 900 nm confined within grains of 40 to 60 μm. Findings showed that varying scan strategies with constant energy input produced high-density components, with the smallest grain and cell size achieved in the continuous scan strategy. In addition, equations were developed to connect energy density with grain size for LPBF-316L, highlighting optimal scanning strategies. Furthermore, the correlation between microstructural features and corrosion behavior, focusing on electrochemical properties, was explored by adjusting key LPBF process parameters. The results suggested a Hall-Petch relationship between grain size and corrosion rate, indicating that smaller grains and cells reduce corrosion rates by affecting electrochemical behavior.https://doi.org/10.1038/s41529-024-00548-5 |
| spellingShingle | Parisa Moazzen Ayda Shahriari SeyedAmirReza Shamsdini Payam Seraj Foroozan Forooghi Yahya Aghayar Sajad Shakerin Mackenzie Remington Purdy Mohsen Mohammadi Optimum corrosion performance using microstructure design and additive manufacturing process control npj Materials Degradation |
| title | Optimum corrosion performance using microstructure design and additive manufacturing process control |
| title_full | Optimum corrosion performance using microstructure design and additive manufacturing process control |
| title_fullStr | Optimum corrosion performance using microstructure design and additive manufacturing process control |
| title_full_unstemmed | Optimum corrosion performance using microstructure design and additive manufacturing process control |
| title_short | Optimum corrosion performance using microstructure design and additive manufacturing process control |
| title_sort | optimum corrosion performance using microstructure design and additive manufacturing process control |
| url | https://doi.org/10.1038/s41529-024-00548-5 |
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