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Virtual Characterization of the mechanical properties of aluminum alloys at elevated temperatures

Virtual Characterization of the mechanical properties of aluminum alloys at elevated temperatures
铝合金高温机械性能的虚拟表征
批准号:
528296-2018
负责人:
Inal, Kaan
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:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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英文摘要
For decades, mass reduction has been a priority in the automotive sector for improving fuel economy. Many**manufacturers have opted for substituting typical steel components for lighter aluminum alloys. An application**of particular interest in this study is the use of 5xxx series aluminum-magnesium sheet alloys in panel**components. The difficulty with aluminum sheet, in the replacement of panel components, is the lower**formability at room temperatures than in steels. In addition, surface quality of formed parts at room temperature**is undesirable due to the Lüder's lines and serrated flow behaviour of Al-Mg sheet alloys (dynamic strain**aging/PLC effect). Hot deformation processing is a desirable method for shaping in industry due to the ability**to refine microstructure, which significantly influences the mechanical response and can increase formability.**Elevated temperature forming corresponds to a decreased flow stress and increased ductility of the sheet, which**can allow deep drawing and stretch in panels competitive with steels without design modifications. Virtual**material (VMC) characterization, performed with crystal plasticity theory, is a very powerful tool that can**characterize the mechanical properties of a material, at various temperatures and strain paths, with a fraction of**the cost and time of experiments. In this project, VMC is used to predict the mechanical anisotropy of the**aluminum alloy 5083 at 500oC.
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Numerical Modeling of Localized Deformation in Age Hardened Aluminum Alloys and Rare Earth Added Magnesium Alloys at Room and Elevated Temperatures
  • 批准号:
    RGPIN-2017-04739
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.64万
  • 财政年份:
    2021
  • 负责人:
    Inal, Kaan
  • 依托单位:
An artificial intelligence based approach to account for the effects of microstructure gradients and residual stresses on fatigue performance of additively manufactured aluminum
  • 批准号:
    566664-2021
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $2.19万
  • 财政年份:
    2021
  • 负责人:
    Inal, Kaan
  • 依托单位:
Micromechanics based Modelling of Formability and Fracture in Dual Phase and Quenched and Partitioned Steels
  • 批准号:
    558388-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $6.16万
  • 财政年份:
    2021
  • 负责人:
    Inal, Kaan
  • 依托单位:
Artificial intelligence (AI) based deep learning of defects, surface roughness and their linkage to mechanical performance of additively manufactured (AM) aluminum alloys
  • 批准号:
    549214-2019
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $2.19万
  • 财政年份:
    2020
  • 负责人:
    Inal, Kaan
  • 依托单位:
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