Scholarlink

<p>This study presents a numerical simulation framework for Ruhrstahl–Heraeus (RH) refining that resolves fluid flow and gas transport in a vacuum-degassing unit, with emphasis on applications for high-quality steels such as stainless grades. Rather than relying on conventional 3D geometric modeling, the fluid domains inside the RH vessel are specified programmatically, streamlining pre-processing and markedly reducing setup time, especially for irregular boundaries. Relative to standard workflows, the framework offers higher computational efficiency and broader applicability. Credibility was established through mesh-independent analysis to select an optimal grid, followed by quantitative validation against physical experiments. In those experiments, vacuum-chamber liquid levels of 80&#xa0;mm, 100&#xa0;mm, and 120&#xa0;mm were paired with gas flow rates of 12.9&#xa0;L/min, 32.25&#xa0;L/min, and 51.6&#xa0;L/min, respectively. Predicted circulation rates and velocity fields closely matched measurements, confirming robustness. Parametric studies across gas flow settings show that 32.25&#xa0;L/min yields the most favorable circulation, thereby facilitating more effective inclusion removal. Additional evaluation of the downcomer velocity reproduced the measured upward–downward trend, further supporting model fidelity. Overall, the proposed framework accurately and efficiently captures RH-refining behavior and provides a practical basis for process optimization and control in industrial operations.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Numerical Simulation and Experiments of Ruhrstahl–Heraeus Hydraulic Model: A Novel Method to Define the Boundary

  • 期刊论文

  • 发表日期：

    2026年2月4日

查看全文
  • Yihong Li,
  • Jihong Zhang,
  • Yibo He,
  • Zhifeng Ren,
  • Chengjian Hua

摘要

This study presents a numerical simulation framework for Ruhrstahl–Heraeus (RH) refining that resolves fluid flow and gas transport in a vacuum-degassing unit, with emphasis on applications for high-quality steels such as stainless grades. Rather than relying on conventional 3D geometric modeling, the fluid domains inside the RH vessel are specified programmatically, streamlining pre-processing and markedly reducing setup time, especially for irregular boundaries. Relative to standard workflows, the framework offers higher computational efficiency and broader applicability. Credibility was established through mesh-independent analysis to select an optimal grid, followed by quantitative validation against physical experiments. In those experiments, vacuum-chamber liquid levels of 80 mm, 100 mm, and 120 mm were paired with gas flow rates of 12.9 L/min, 32.25 L/min, and 51.6 L/min, respectively. Predicted circulation rates and velocity fields closely matched measurements, confirming robustness. Parametric studies across gas flow settings show that 32.25 L/min yields the most favorable circulation, thereby facilitating more effective inclusion removal. Additional evaluation of the downcomer velocity reproduced the measured upward–downward trend, further supporting model fidelity. Overall, the proposed framework accurately and efficiently captures RH-refining behavior and provides a practical basis for process optimization and control in industrial operations.