Numerical Simulation of Scrap Melting Utilizing Converter Gas Oxygen-Enriched Combustion in a Hot Metal Ladle
転炉ガス酸素富化燃焼を利用した溶銑鍋内でのスクラップ溶解の数値シミュレーション (AI 翻訳)
Shenshen Li, Wenjie Huo, Yanzhu Hu, Hang Liu, S. Wang, Tingliang Dong, Jianwei Wu, Junguo Li, Xin Yao
🤖 gxceed AI 要約
日本語
本論文は、粗鋼生産におけるスクラップ比率向上と炭素排出削減を目的とし、転炉ガス酸素富化燃焼を用いた溶銑鍋内でのスクラップ予熱プロセスを数値シミュレーションしている。多孔質体の相変化を動的に追跡可能なUDFベースのモデルを開発し、空隙率、流量、ピット深さの影響を解析した結果、空隙率が熱効率に最も強く影響し、0.8で65.59%の効率を達成。また、最適条件を提案している。
English
This paper presents a numerical simulation of scrap preheating in a hot metal ladle using oxygen-enriched combustion of converter gas, aimed at increasing scrap ratio and reducing carbon emissions in steelmaking. A novel multiphysics approach dynamically tracks the melting of scrap skeleton, overcoming limitations of conventional models. Results show porosity has the strongest effect on thermal efficiency, reaching 65.59% at 0.8 porosity. Optimal conditions achieve 1.23% melting fraction and 65.59% thermal efficiency within 120 seconds, providing guidance for industrial scrap preheating design.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の鉄鋼業界でもスクラップ比率向上はCO2削減の重要施策であり、本シミュレーション手法は転炉プロセスの効率化に直接応用可能。特に酸素富化燃焼の効果や多孔質内熱伝達の知見は、日本企業の設備設計や運用最適化に示唆を与える。
In the global GX context
This study supports global steel decarbonization by enabling higher scrap usage, a key strategy to reduce emissions. The novel modeling approach addressing phase-change in porous media is valuable for process optimization in integrated steel plants worldwide, complementing efforts under initiatives like the Global Steel Climate Council or IEA's Net Zero pathways.
👥 読者別の含意
🔬研究者:Provides a validated multiphysics model for scrap melting with dynamic phase change, advancing simulation capabilities for porous media with melting.
🏢実務担当者:Offers quantitative guidance on optimizing scrap preheating parameters (porosity, gas flow, pit depth) to improve thermal efficiency and melting rates.
🏛政策担当者:Highlights the potential for scrap-based steelmaking to reduce emissions, supporting policies that promote scrap usage and energy efficiency in the steel sector.
📄 Abstract（原文）
The blast furnace–basic oxygen furnace long process is the dominant steel production route in China. Increasing the scrap ratio is an effective way to reduce cost and carbon emissions, and scrap preheating is a key technology to achieve a high scrap ratio. To improve the low thermal efficiency and poor deep-bed melting performance of converter gas-based scrap preheating, an innovative process using oxygen-enriched combustion in a hot metal ladle is proposed. Numerical simulation is essential for capturing the complex multiphysics phenomena, as real-time monitoring of melting inside the packed scrap bed is extremely difficult. In this study, a novel multiphysics approach based on a User-Defined Function (UDF) is developed to dynamically track the progressive melting of the scrap skeleton, overcoming the key limitation of conventional enthalpy–porosity models that cannot capture the feedback between phase change and porous medium property evolution. A three-dimensional transient model was established, integrating turbulent combustion, gas–solid convective heat transfer in porous media, and solid–liquid phase change. The effects of impact pit depth, scrap porosity, and converter gas flow rate on temperature distribution, melting behavior, and thermal efficiency were systematically investigated. Results showed that porosity had the strongest influence; thermal efficiency increased from 33.92% to 65.59% as porosity rose from 0.6 to 0.8, due to a transition from conduction-dominated to coupled convection–conduction heat transfer. Converter gas flow rate exhibited a non-monotonic effect, peaking at 3688.14 m3·h−1, highlighting a trade-off between energy input and gas residence time, while impact pit depth showed a limited effect with diminishing returns. A 600 s full-process simulation revealed stage-dependent melting, and the initial phase was crucial for process optimization. The optimal condition, with a pit depth of 64 cm, porosity of 0.8, and converter gas flow rate of 3688.14 m3·h−1, achieved a 1.23% melting fraction and 65.59% thermal efficiency within 120 s. These findings clarify the combined roles of geometric confinement, permeability, and energy-residence time interactions, providing guidance for industrial scrap preheating design.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/pr14132042first seen 2026-07-01 05:52:22
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