• 제목/요약/키워드: 선향적저감적분

검색결과 2건 처리시간 0.019초

선향적저감적분을 이용한 탄소성 유한요소법에 의한 블레이드의 성형 해석 (Analysis of Blade Forming using an Elasto-Plastic Finite Element Method with Directional Reduced Integration)

  • 최태훈;허훈
    • 소성∙가공
    • /
    • 제4권4호
    • /
    • pp.365-374
    • /
    • 1995
  • Numerical simulation of blade forming is carried out as stretch forming by an elasto-plastic finite element method. The method adopts a Lagrangian formulation, which incorporates large deformation and rotation, with a penalty method to treat the contact boundary condition. Numerical integration is done with a directional reduced integration scheme to avoid shear locking. The numerical results demonstrates various final shapes of blades which depend on the variation of the stretching force. The strain distributions in deformed blades are also obtained with the variation of the stretching force.

  • PDF

적응성 선향저감적분법에 의한 요소의 안정성 향상과 강소성 유한요소해석에의 적용 (Improvement of Element Stability using Adaptive Directional Reduced Integration and its Application to Rigid-Plastic Finite Element Method)

  • Park, K.;Lee, Y.K.;Yang, D.Y.
    • 한국정밀공학회지
    • /
    • 제12권3호
    • /
    • pp.32-41
    • /
    • 1995
  • In the analysis of metal forming processes by the finite element method, there are many numerical instabilities such as element locking, hourglass mode and shear locking. These instabilities may have a bad effect upon accuracy and convergence. The present work is concerned with improvement of stability and efficiency in two-dimensional rigid-plastic finite element method using various type of elemenmts and numerical intergration schemes. As metal forming examples, upsetting and backward extrusion are taken for comparison among the methods: various element types and numerical integration schemes. Comparison is made in terms of stability and efficiency in element behavior and computational efficiency and a new scheme of adaptive directional reduced integration is introduced. As a result, the finite element computation has been stabilized from the viewpoint of computational time, convergency, and numerical instability.

  • PDF