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...

Full description

Saved in:
Bibliographic Details
Main Authors: Parisa Moazzen, Ayda Shahriari, SeyedAmirReza Shamsdini, Payam Seraj, Foroozan Forooghi, Yahya Aghayar, Sajad Shakerin, Mackenzie Remington Purdy, Mohsen Mohammadi
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:npj Materials Degradation
Online Access:https://doi.org/10.1038/s41529-024-00548-5
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2397-2106