Tribocorrosion behavior of nickel-free duplex and 316L stainless steels fabricated by laser powder bed fusion in artificial seawater

Abhinav Anand, Chinmayee Nayak*, Ermei Mäkilä, Zaiqing Que, Heidi Piili, Sneha Goel, Antti Salminen, Ashish Ganvir

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

In this work, nickel-free duplex stainless steel (NiFDSS) and 316L stainless steel were produced by laser powder bed fusion (PBF-LB/M) under optimized parameters, reaching 98.83 % and 99.80 % relative densities, respectively. Microstructural analysis showed transformation from fully ferritic in the as-built condition to duplex after heat treatment (950 °C/1 h, followed by water quenching) for NiFDSS. Corrosion resistance was evaluated by potentiodynamic polarization in artificial seawater (0.6 M NaCl with pH 8.2), while tribocorrosion performance was measured in a ball-on-disc setup under the same electrolyte. As-built NiFDSS exhibited a lower corrosion current density (1.30 μA/cm2) than 316L (1.78 μA/cm2), and heat treatment further reduced it to 0.65 μA/cm2, reflecting enhanced corrosion resistance. Under tribocorrosion, NiFDSS and heat-treated NiFDSS maintained lower corrosion rates but incurred higher wear rates than 316L, driven by residual porosity along with cleavage-prone fragmentation in the as-built alloy and sigma-phase-assisted cracking after heat treatment. Overall, PBF-LB/M of NiFDSS provided superior corrosion resistance while exhibiting lower wear performance than 316L. Porosity control through further PBF-LB/M parameters refinement and heat-treatment optimization is required to minimize residual pores and suppress sigma-phase precipitation, thereby improving wear resistance of NiFDSS.
Original languageEnglish
Pages (from-to)2197-2211
JournalJournal of Materials Research and Technology
Volume38
DOIs
Publication statusPublished - Sept 2025
MoE publication typeA1 Journal article-refereed

Funding

Prof. Ashish Ganvir acknowledges financial support from GREEN-BAT (Dnr 352517), co-funded by the Research Council of Finland and the European Union under the M-ERA.NET 2021 framework, as well as the SOLACE (Dnr 360540) Academy research fellowship, funded by the Research Council of Finland. Prof. Antti Salminen acknowledges financial support through the DREAMS TEKN TOT (2600577911) project, funded by Business Finland. Zaiqing Que acknowledges the funding from the European Union –NextGenerationEU REPOWER NOVA project.

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