About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
12th International Symposium on High Temperature Metallurgical Processing
|
| Presentation Title |
Comparative Study on the Cleanliness of Ultra-low Carbon Al-killed Steel by Different Heating Processes |
| Author(s) |
Shenyang Song, Jing Li, Wei Yan, Jianxiao Zhang |
| On-Site Speaker (Planned) |
Shenyang Song |
| Abstract Scope |
Cleanliness of aluminum killed ultra-low carbon steel produced through BOF-RH-CC and BOF-LF-RH-CC were comparatively investigated by various test equipment. Three different heating processes were used when the converter tapping temperature was low: reheating by blowing oxygen and Al addition during RH early decarburization stage (Process-A); reheating by blowing oxygen and Al particles addition at the end of RH decarburization (Process-B), no Al addition at RH-decarburization stage but the process was BOF-LF-RH-CC (Process-C).
The non-metallic inclusions can be removed obviously in three refining processes. Statistical analysis of inclusion area fraction showed Process-A was substantially less than those in process-B. Furthermore, the proportion of single inclusion area <8 μm2 increased from Process-A level 85% to Process-C level 95%. Moreover, this study proposed an XGBoost model based on big data mining methods to investigate the computational simulation and the introduction of XGBoost model ensured 90% accuracy rate for seeking an optimum refining process. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Iron and Steel, Process Technology, Machine Learning |