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Three Dimensional Modeling of Steady-State Metal Forming Processes

Three Dimensional Modeling of Steady-State Metal Forming Processes
稳态金属成形过程的三维建模
批准号:
9301943
负责人:
Antoinette Maniatty
金额:
$1.8万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-06-15 至 1995-02-28

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中文摘要
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英文摘要
Three-dimensional modeling of industrial metal forming processes using an Eulerian reference frame will be performed. Common processes such as rolling, drawing, and extrusion will be evaluated. These processes all involve a high degree of mechanical-thermal-material coupling. A model which accounts for this coupling and an algorithm for handling this coupling is being developed. A finite deformation theory for the elastic-plastic kinematics must be used to handle the large deformations being considered. The planning stage of this project, the model, algorithm, and code development will be handled in collaboration with colleagues at Rensselaer and Alcoa Laboratories.
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IUSE/PFE:RED A&I Curriculum integration through collaborative teaching and mentoring: adapting an integrated system for engineering formation
  • 批准号:
    2235345
  • 项目类别:
    Standard Grant
  • 资助金额:
    $99.89万
  • 财政年份:
    2023
  • 负责人:
    Antoinette Maniatty
  • 依托单位:
Collaborative Research: A Multiscale Thermo-Hygro-Mechanical Investigation of Fibrous Porous Materials
  • 批准号:
    2033977
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $32.89万
  • 财政年份:
    2021
  • 负责人:
    Antoinette Maniatty
  • 依托单位:
GOALI: Understanding and Modeling Electromigration Induced Solder Degradation
  • 批准号:
    1207291
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.79万
  • 财政年份:
    2012
  • 负责人:
    Antoinette Maniatty
  • 依托单位:
GOALI/Collaborative Research: Understanding Cracking and Defect Formation During AlN Crystal Growth
  • 批准号:
    0928556
  • 项目类别:
    Standard Grant
  • 资助金额:
    $24.75万
  • 财政年份:
    2009
  • 负责人:
    Antoinette Maniatty
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis