Physical and Mathematical Modelling of Steelmaking and Casting Processes

炼钢和铸造过程的物理和数学建模

基本信息

  • 批准号:
    RGPIN-2015-05559
  • 负责人:
  • 金额:
    $ 1.6万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

In the 21st century the Canadian metals industry is facing major challenges and the iron and steel industry is no exception. All steelmakers are aiming for energy efficient and environmentally friendly operations and at the same time improving and optimizing the steelmaking and casting processes to meet the stringent product quality demands at reduced cost. Having all these constraints in mind, Canadian steelmakers have heavily invested in R&D and one of the major areas of research has been physical and mathematical modelling of steelmaking and casting processes. For all these processes, the evolution in our methods and abilities to model reacting single phase and multiphase flows, and associated transport phenomena has contributed significantly to effectively design, build and operate these processes. However, most of the previous research dealt with thermodynamics and transport phenomena separately, and researchers focussing on thermodynamics, would rarely work on transport phenomena and vice versa. In this proposed research program, thermodynamics and transport phenomena will be coupled together to develop realistic mathematical models which is a novel idea and the metallurgists' dream. In addition, the present research program intends to combine mathematical modelling research with physical modelling, high temperature laboratory experiments, and plant trials for better understanding of the fundamentals behind different iron and steelmaking processes. Key topics of interest include dephosphorization in oxygen steelmaking, desulfurization in the ladle, killing of steel in the ladle, dust and metals emissions from metallurgical vessels, liquid metal quality and flow control in continuous casting. The current research program aims to achieve three major goals:
进入世纪,加拿大金属工业面临着巨大的挑战,钢铁工业也不例外。所有钢铁制造商都致力于节能和环保运营,同时改进和优化炼钢和铸造工艺,以降低成本,满足严格的产品质量要求。考虑到所有这些限制,加拿大钢铁制造商在研发方面投入了大量资金,其中一个主要研究领域是炼钢和铸造过程的物理和数学建模。对于所有这些过程,我们的方法和能力的演变,以模拟反应单相和多相流,以及相关的传输现象,有效地设计,建造和操作这些过程作出了重大贡献。然而,以前的研究大多是分别处理热力学和输运现象,并且专注于热力学的研究人员很少研究输运现象,反之亦然。在这项研究计划中,热力学和输运现象将耦合在一起,发展现实的数学模型,这是一个新颖的想法和生态学家的梦想。此外,本研究计划旨在将联合收割机数学建模研究与物理建模、高温实验室实验和工厂试验相结合,以更好地了解不同钢铁和炼钢工艺背后的基本原理。感兴趣的关键主题包括氧气炼钢中的脱磷、钢包中的脱硫、钢包中的钢的杀菌、冶金容器的粉尘和金属排放、连续铸造中的液态金属质量和流量控制。目前的研究计划旨在实现三个主要目标:

项目成果

期刊论文数量(0)
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Chattopadhyay, Kinnor其他文献

Bubble Characterization in a Continuous Casting Mold: Comparison and Identification of Image Processing Techniques
Physical and Mathematical Modelling of Inert Gas Shrouding in a Tundish
  • DOI:
    10.2355/isijinternational.51.573
  • 发表时间:
    2011-01-01
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
    Chattopadhyay, Kinnor;Isac, Mihaiela;Guthrie, Roderick I. L.
  • 通讯作者:
    Guthrie, Roderick I. L.
Modeling of Liquid Steel/Slag/Argon Gas Multiphase Flow During Tundish Open Eye Formation in a Two-Strand Tundish
Multiple-metal-doped Fe3O4@Fe2O3 nanoparticles with enhanced photocatalytic performance for methyl orange degradation under UV/solar light irradiation
多种金属掺杂的 Fe3O4@Fe2O3 纳米颗粒在紫外/太阳光照射下具有增强的光催化降解甲基橙性能
  • DOI:
    10.1016/j.ceramint.2020.04.234
  • 发表时间:
    2020-08-01
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Li, Nan;He, Yun-long;Chattopadhyay, Kinnor
  • 通讯作者:
    Chattopadhyay, Kinnor
Modelling of Non-isothermal Melt Flows in a Four Strand Delta Shaped Billet Caster Tundish Validated by Water Model Experiments
  • DOI:
    10.2355/isijinternational.52.2026
  • 发表时间:
    2012-01-01
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
    Chattopadhyay, Kinnor;Isac, Mihaiela;Guthrie, Roderick Ian Lawrence
  • 通讯作者:
    Guthrie, Roderick Ian Lawrence

Chattopadhyay, Kinnor的其他文献

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{{ truncateString('Chattopadhyay, Kinnor', 18)}}的其他基金

Physical, Mathematical, and Machine Learning Modeling of Iron and Steel Processes
钢铁工艺的物理、数学和机器学习建模
  • 批准号:
    RGPIN-2021-02615
  • 财政年份:
    2022
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Innovative Low Melting Liquid Metal Model for Optimizing Argon Injection Practices during Steelmaking and Continuous Casting for Productivity and Quality Improvements
创新的低熔点液态金属模型,用于优化炼钢和连铸过程中的吹氩实践,以提高生产率和质量
  • 批准号:
    522412-2017
  • 财政年份:
    2021
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Collaborative Research and Development Grants
Development of a bench-scale liquid metal wiping pilot system for understanding and optimizing the jet wiping process during hot dip galvanizing
开发小型液态金属擦拭试点系统,用于了解和优化热浸镀锌过程中的喷射擦拭过程
  • 批准号:
    565310-2021
  • 财政年份:
    2021
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Alliance Grants
Continuous Caster Mould Digital Twin Development for Fluid Flow Control and Sliver Defect Minimization
用于流体流动控制和条子缺陷最小化的连铸机模具数字孪生开发
  • 批准号:
    560338-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Alliance Grants
Physical, Mathematical, and Machine Learning Modeling of Iron and Steel Processes
钢铁工艺的物理、数学和机器学习建模
  • 批准号:
    RGPIN-2021-02615
  • 财政年份:
    2021
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Discovery Grants Program - Individual
Fluid flow modeling of a curved continuous slab casting mold
弯曲板坯连铸结晶器的流体流动建模
  • 批准号:
    530892-2018
  • 财政年份:
    2021
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Collaborative Research and Development Grants
Continuous Caster Mould Digital Twin Development for Fluid Flow Control and Sliver Defect Minimization
用于流体流动控制和条子缺陷最小化的连铸机模具数字孪生开发
  • 批准号:
    560338-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Alliance Grants
Enhancing liquid metal quality and productivity in a slab caster through physical and mathematical modelling
通过物理和数学建模提高板坯连铸机的液态金属质量和生产率
  • 批准号:
    488536-2015
  • 财政年份:
    2020
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Collaborative Research and Development Grants
Fluid flow modeling of a curved continuous slab casting mold
弯曲板坯连铸结晶器的流体流动建模
  • 批准号:
    530892-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Collaborative Research and Development Grants
Innovative Low Melting Liquid Metal Model for Optimizing Argon Injection Practices during Steelmaking and Continuous Casting for Productivity and Quality Improvements
创新的低熔点液态金属模型,用于优化炼钢和连铸过程中的吹氩实践,以提高生产率和质量
  • 批准号:
    522412-2017
  • 财政年份:
    2020
  • 资助金额:
    $ 1.6万
  • 项目类别:
    Collaborative Research and Development Grants

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生命与物理科学接口:整个动物运动的数学和计算模型
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炼钢和铸造过程的物理和数学建模
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通过物理和数学建模提高板坯连铸机的液态金属质量和生产率
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