JOURNAL ARTICLE

Diffusion of Lanthanum/Cerium/Manganese in Rare‐Earth Heavy Rail Steel at the Refractory Interface.

  • Published In: Steel Research International, 2024, v. 95, n. 3. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: WANG, YI; Song, Guangjie; Shen, Ping; He, Jianzhong; Zhang, Daxian; Fu, Jianxun 3 of 3

Abstract

One of the key factors determining the degree of erosion in the outlet parts of refractory interfaces is diffusion. By studying the representative diffusion behavior of lanthanum, cerium, and manganese in molten rare‐earth high‐carbon heavy rail steel using different refractory interfaces, the diffusion kinetics mechanism of each alloying element is illustrated. The results show that the concentration of diffused lanthanum, cerium, and manganese in rare‐earth high‐carbon heavy rail steel imparts minor changes on the two aluminum–magnesium refractories used in our experiments, whereas the other four refractories show unstable behavior. Furthermore, it is revealed that the smaller the porosity of a refractory material, the greater the decrease in the diffusion channel of each element in molten steel, which in turn increases the diffusion activation barrier and results in slower diffusion. Overall, the suitability degree of the refractory materials tested in experiments for processing molten rare‐earth high‐carbon heavy rail steel with regard to cost, adhesion strength, and erosion degree is as follows: Al2O3–MgO > Al2O3–MgO–SiO2 coating > Al2O3–SiO2–SiO2 coating > Al2O3–SiO2 > Al2O3 > ZrO2. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Steel Research International. 2024/03, Vol. 95, Issue 3, p1
  • Document Type:Article
  • Subject Area:Geology
  • Publication Date:2024
  • ISSN:1611-3683
  • DOI:10.1002/srin.202300562
  • Accession Number:175826477
  • Copyright Statement:Copyright of Steel Research International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.