Modeling and Energy Efficiency Analysis of the Steelmaking Process in an Electric Arc Furnace

电弧炉 炼钢 电弧 燃烧 燃烧室 传热 热交换器 固体燃料 机械工程 工艺工程 化学 工程类 材料科学 机械 冶金 电极 物理 物理化学 有机化学
作者
Jesús D. Hernández,Luca Onofri,Sebastian Engell
出处
期刊:Metallurgical and Materials Transactions B-process Metallurgy and Materials Processing Science [Springer Science+Business Media]
卷期号:53 (6): 3413-3441 被引量:18
标识
DOI:10.1007/s11663-022-02576-5
摘要

Abstract This paper presents a comprehensive model of an industrial electric arc furnace (EAF) that is based upon several rigorous first-principles submodels of the heat exchange in the EAF and practical experience from an industrial melt shop. The model is suited for process simulation, optimization, and control applications. It assumes that the energy demand of the process is satisfied by six sources, the electric arc, the oxy-fuel burners, the oxygen lances, the combustion of coal, and the oxidation of metal in the liquid and in the solid phase. The energy exchange between the liquid and the solid phase due to liquid metal splashing is also considered. The different mechanisms of heat exchange are represented in the model as follows: (a) the radiative heat exchange from the arc to the other phases is computed using the DC circuit analogy, where the view factors are calculated using exact formulae and Monte-Carlo algorithms. (b) The energy input from the oxy-fuel burner is modeled using simplified geometries for which heat transfer relationships are known. (c) The amount of heat released by the oxidation of solid metal is described by the quadratic corrosion formula. (d) The energy exchange from the bath to the solid phase due to splashing is modeled using relationships and experimental data that are available in the literature. The model contains the melting rates and the efficiency of the oxygen lancing as free parameters; their values were computed by a least squares fit to process data of an industrial Ultra-High-Power EAF. In comparison with existing EAF models, the model presented here describes the dynamic behavior of the melting process more realistically. Based on the model, time-dependent energy efficiency curves for the various contributions and for the overall process are computed and discussed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xlk2222发布了新的文献求助10
刚刚
刚刚
Akim应助hu采纳,获得10
刚刚
笨脑腐完成签到,获得积分10
刚刚
刚刚
Lsl完成签到,获得积分10
1秒前
MOYIER关注了科研通微信公众号
1秒前
华仔应助vv采纳,获得10
1秒前
李小宁发布了新的文献求助10
2秒前
3秒前
务实的厉完成签到 ,获得积分10
3秒前
hana完成签到,获得积分20
4秒前
cchenn完成签到,获得积分10
4秒前
何必在乎发布了新的文献求助10
4秒前
笨脑腐发布了新的文献求助10
5秒前
天天快乐应助制冷剂采纳,获得10
5秒前
NexusExplorer应助maomao采纳,获得10
5秒前
cjcai完成签到,获得积分10
5秒前
科研达人完成签到,获得积分10
5秒前
6秒前
小蘑菇应助李小宁采纳,获得10
6秒前
Amyttt发布了新的文献求助30
7秒前
晚晚完成签到,获得积分10
7秒前
充电宝应助风趣半莲采纳,获得10
7秒前
vv完成签到,获得积分20
8秒前
shasha发布了新的文献求助10
8秒前
cz111完成签到 ,获得积分10
8秒前
9秒前
123完成签到,获得积分20
10秒前
英俊的铭应助程程采纳,获得10
10秒前
踏实梦易完成签到,获得积分10
11秒前
茄子完成签到,获得积分10
11秒前
12秒前
foggycity完成签到,获得积分10
12秒前
科研通AI6.2应助十yu采纳,获得30
12秒前
汉堡包应助123采纳,获得10
12秒前
乐乐应助拼搏的亦丝采纳,获得10
13秒前
hu发布了新的文献求助10
14秒前
贪玩晓夏完成签到,获得积分10
15秒前
银河完成签到,获得积分10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Lewis’s Child and Adolescent Psychiatry: A Comprehensive Textbook Sixth Edition 2000
Cronologia da história de Macau 1600
Treatment response-adapted risk index model for survival prediction and adjuvant chemotherapy selection in nonmetastatic nasopharyngeal carcinoma 1000
Influence of graphite content on the tribological behavior of copper matrix composites 658
Interaction between asthma and overweight/obesity on cancer results from the National Health and Nutrition Examination Survey 2005‐2018 600
Signals, Systems, and Signal Processing 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6208726
求助须知:如何正确求助?哪些是违规求助? 8035039
关于积分的说明 16739023
捐赠科研通 5299259
什么是DOI,文献DOI怎么找? 2823369
邀请新用户注册赠送积分活动 1802238
关于科研通互助平台的介绍 1663535