PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 3, 2026China Foundry0 citationsOpen Access

Micro-alloying for improving corrosion resistance of as-cast alloy CoCrNi in 3.5wt.% NaCl solution by Ce addition

View Full Paper
BCBo ChenCZChao ZhengWXWei-dong Xuan

Key Points

  • Corrosion resistance improves with cerium addition, reaching an optimal point before declining.
  • At 0.02at.% Ce, passivation current density is 26.383 µA·cm−2, indicating strong resistance.
  • Assessment of corrosion in 3.5wt.% NaCl solution reveals critical performance metrics based on Ce content.
  • Micro-alloying with cerium may enhance alloy properties for industrial applications, requiring further exploration.

Abstract

Enhancing corrosion resistance in cast alloys using straightforward and cost-effective micro-alloying techniques has emerged as a key area of investigation in materials science. The challenge lies in applying this technique to further enhance the already excellent properties of CoCrNi medium-entropy alloys (MEAs) for casting applications. A micro-alloying approach was proposed to improve the corrosion resistance of as-cast CoCrNi MEAs by incorporating cerium (Ce). The corrosion resistance of CoCrNi MEAs firstly increases and then decreases as the Ce content increases in a 3.5wt.% NaCl solution. At a Ce content of 0.02at.%, the passivation current density reaches its minimum value (26.383 µA·cm−2), while the breakdown potential reaches its maximum (0.471 VSCE), imparting exceptional corrosion resistance. The results indicate that the enhanced corrosion resistance is primary due to Ce micro-alloying, which affects inclusions by forming a non-conductive precipitated phase and modifying the passivation film. Ce micro-alloying presents a promising strategy for enhancing the corrosion resistance of as-cast CoCrNi MEAs.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69a76772badf0bb9e87e0f47https://doi.org/10.1007/s41230-026-4218-2
Ask AI
Helpful
Bookmark
Share
View Full Paper