Structural optimization and design of purging plug for improving its service performance

Fang guan Tan, Sheng li Jin, Zhu He, Ya wei Li

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)


Purging plug with slits is widely used in the secondary refining process, and its service life determines the downtime and production efficiency. To achieve a good performance in service life, optimizing the geometric structure of the slit, which can alleviate the stress concentration around the slit, was employed using the finite plate model. Furthermore, the performance of the purging plugs with different shapes of slits in the refining effect was investigated by conducting the water model experiments. The numerical simulation results showed that the appropriate shapes of slits could alleviate the stress concentration phenomena. In the water model experiment, the mixing time of the purging plug with circular slits is lesser than that of the purging plug with rectangular slits when the gas flow is less than 6.02 L/min. Compared with the rectangular slits, the circular slits are detrimental to smaller and well-distributed bubbles. Thus, the inclusion removal rate of the purging plug with circular slits is approximately 10% larger than that of the purging plug with the rectangular slits.
Original languageEnglish
Pages (from-to)628-635
Number of pages8
JournalJournal of iron and steel research international
Issue numberSeptember
Early online date21 Sept 2021
Publication statusPublished - 2021

Bibliographical note

Funding Information:
This work was financially supported by the National Natural Science Foundation of China (Grant Nos. 51974211 and 12072245) and the Special Project of Central Government for Local Science and Technology Development of Hubei Province (Grant Nos. 2019ZYYD003 and 2019ZYYD076).

Publisher Copyright:
© 2021, China Iron and Steel Research Institute Group.


  • Inclusion removal
  • Ladle metallurgy
  • Mixing time
  • Purging plug
  • Stress concentration
  • Water model experiment

Cite this