基于数值模拟的冶金反应器内多相流场优化与强化机理分析

魏光泽

科技创新与工程 ›› 2026, Vol. 3 ›› Issue (4) : 70 -72.

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科技创新与工程 ›› 2026, Vol. 3 ›› Issue (4) : 70 -72. DOI: 10.12349/tie.v3i4.10080

基于数值模拟的冶金反应器内多相流场优化与强化机理分析

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Optimization of Multiphase Flow Field and Analysis of Enhancement Mechanism in Metallurgical Reactor Based on Numerical Simulation

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摘要

冶金反应器是冶金生产过程的核心装备,其内部多相流动、传热传质及化学反应等过程的耦合行为直接影响着产品质量、能源消耗和污染物排放。传统的实验研究方法难以全面捕捉反应器内部复杂的物理化学现象,而数值模拟技术凭借其低成本、高效率、可重复性强等优势,已成为揭示反应器内多相流场特征、优化工艺参数、阐明强化机理的重要工具。本文系统阐述了冶金反应器数值模拟的基本理论与方法,分析了高炉、转炉、电炉、连铸中间包等典型冶金反应器内多相流场的分布特征,探讨了流场优化与过程强化的主要策略,揭示了数值模拟在冶金反应器优化设计中的应用价值。

Abstract

Metallurgical reactors serve as core equipment in metallurgical production processes. The coupled behaviors of multiphase flow, heat and mass transfer, and chemical reactions within them directly impact product quality, energy consumption, and pollutant emissions. Traditional experimental research methods struggle to comprehensively capture the complex physicochemical phenomena occurring inside reactors. Numerical simulation technology, with its advantages of low cost, high efficiency, and strong reproducibility, has become a crucial tool for revealing multiphase flow field characteristics, optimizing process parameters, and elucidating enhancement mechanisms. This paper systematically expounds the fundamental theories and methodologies of metallurgical reactor numerical simulation, analyzes the distribution characteristics of multiphase flow fields in typical metallurgical reactors such as blast furnaces, converters, electric furnaces, and continuous casting tundishes, explores key strategies for flow field optimization and process enhancement, and demonstrates the practical value of numerical simulation in optimizing metallurgical reactor design.

关键词

数值模拟 / 冶金反应器 / 多相流场 / 流场优化 / 过程强化

Key words

numerical simulation / metallurgical reactor / multiphase flow field / flow field optimization / process intensification

引用本文

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魏光泽. 基于数值模拟的冶金反应器内多相流场优化与强化机理分析[J]. 科技创新与工程, 2026, 3(4): 70-72 DOI:10.12349/tie.v3i4.10080

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参考文献

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陶鑫. 典型冶金反应器钢渣界面下速度分布及夹杂物去除原理[D]. 太原理工大学, 2025.

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米涛. 基于机器学习的冶金反应器内气泡行为检测与预测[D]. 辽宁科技大学, 2024.

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