Tan Li

ORCID: 0009-0004-9216-8923
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About
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Research Areas
  • Rough Sets and Fuzzy Logic
  • Neural Networks and Applications
  • Advanced Computational Techniques and Applications
  • Metallurgical Processes and Thermodynamics
  • Mineral Processing and Grinding

Nanchang University
2023-2025

Abstract First carbon hit rate (FCHR) is an essential indicator of steel converter smelting, reflecting the proportion tapping completed without additional oxygen blowing. However, significant data loss has occurred due to equipment ageing and worker operations, resulting in difficulties analysing FCHR. This paper uses mechanism analysis feature screening determine model input, predicts fills abnormal through ensemble learning, then optimises it transformation. Finally, Stacking FCHR, with a...

10.1049/cim2.70016 article EN cc-by IET Collaborative Intelligent Manufacturing 2025-01-01

The prediction of oxygen consumption during the steel smelting process is crucial for enhancing production efficiency and optimizing resource utilization. This study aims to propose a novel combination data processing model construction predicting in steelmaking. Firstly, we collected related employed effective preprocessing techniques. Utilizing Permutation Importance feature selection, established dataset comprising features such as temperature, molten iron scrap metal mass, various...

10.1145/3653081.3653227 article EN 2023-11-24

Converter steelmaking process usually involves many complex processes and technical specifications, the knowledge in field of iron steel smelting exists form documents databases, which lacks integration sharing. In order to assist real-time decision-making converter steelmaking, this paper investigates graph-based expert system for steelmaking. design graph, a top-down construction method is adopted, ontology level constructed first, then entities relations are extracted. Where each entity...

10.1145/3653081.3653226 article EN 2023-11-24
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