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Experimental characterization and modeling of mechanical properties of high and intermediate Mn steels

Experimental characterization and modeling of mechanical properties of high and intermediate Mn steels
高锰钢和中锰钢机械性能的实验表征和建模
批准号:
492306-2015
负责人:
Singh, ChandraVeer
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31

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中文摘要
翻译
高强度钢是加拿大经济基础设施的支柱。对其应用重要的两个机械性能是强度和延展性。近年来,人们对通过添加锰(Mn)来改善这些性能产生了浓厚的兴趣,从而产生了所谓的孪生诱导塑性(TWIP)钢。浦项制铁等国际钢铁公司开发制造了具有优异成形特性的高Mn钢;然而,它们的制造过程非常昂贵。为了克服这一问题,加拿大Hatch公司开发了高Mn钢(~17 wt% Mn)和中Mn钢(~6 wt% Mn)的经济高效生产新工艺,正在申请美国专利。用哈奇工艺制造的钢的力学性能尚未得到研究。此外,一个
英文摘要
High strength steels form the backbone of infrastructure in Canadian economy. Two mechanical properties important for their application are strength and ductility. In recent years, there have been significant interest in improving these properties via addition on manganese (Mn), leading to the so-called twinning-induced plasticity (TWIP) steels. International steel companies such as POSCO have developed and manufactured high Mn steels with excellent formability characteristics; however their manufacturing process is very expensive. To overcome this, Hatch Ltd., a Canadian company, has developed new processes for cost-effective production of high-Mn steel (~17 wt% Mn) and intermediate-Mn steel (~6 wt% Mn), pending US patents. The mechanical properties of steels manufactured by Hatch technology have not been studied yet. Furthermore, an
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Probabilistic Machine Learning Driven Discovery and Design of New Materials for Sustainable Energy and Transport
  • 批准号:
    RGPIN-2018-04642
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $9.32万
  • 财政年份:
    2022
  • 负责人:
    Singh, ChandraVeer
  • 依托单位:
Probabilistic Machine Learning Driven Discovery and Design of New Materials for Sustainable Energy and Transport
  • 批准号:
    RGPIN-2018-04642
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2021
  • 负责人:
    Singh, ChandraVeer
  • 依托单位:
Probabilistic Machine Learning Driven Discovery and Design of New Materials for Sustainable Energy and Transport
  • 批准号:
    RGPIN-2018-04642
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $4.66万
  • 财政年份:
    2020
  • 负责人:
    Singh, ChandraVeer
  • 依托单位:
Probabilistic Machine Learning Driven Discovery and Design of New Materials for Sustainable Energy and Transport
  • 批准号:
    522649-2018
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
  • 资助金额:
    $5.83万
  • 财政年份:
    2019
  • 负责人:
    Singh, ChandraVeer
  • 依托单位:
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