• Title/Summary/Keyword: 직사각재 인발

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Development of Program for the Intermediate ie Design in the Drawing of the Rectangular Rod (직사각재 인발 공정의 중간 금형 설계 프로그램 개발)

  • 김동진
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1999.03b
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    • pp.95-98
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    • 1999
  • In this study, a method to find the optimal intermediate die geometry for the multi-stage drawing process for the rectangular rod from a round bar is proposed and a program using the proposed method is developed. On the stage of the design of the intermediate die geometry, the virtual die was constructed using the initial billet as a inlet of the drawing die and the final product as a exit of that and the virtual die was divided by the number of pass. Divided die was transformed into the rectangular one which is the intermediate die geometry for the multi-stage rectangular drawing process. In order to verify the application of the proposed method on the real industrial product, the drawing of the rectangular rod from a round which composed two stage has been performed and simulated by the three dimensional rigid plastic finite element method.

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A Studyon the Drawing of Rectangular Rod from Round Bar by using Rigid Plastic FEM and Neural Network (강소성 유한요소법과 신경망을 이용한 직사각재 인발공정에 관한 연구)

  • Kim, Y.C.;Choi, Y.;Kim, B.M.;Choi, J.C.
    • Transactions of Materials Processing
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    • v.8 no.4
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    • pp.331-339
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    • 1999
  • In this study, to analyze the shaped drawing process from round bar, the practical conical die with considering die radius and bearing was defined by a mathematical expression, and also a simple technique for initial mesh generation to the shaped drawing process was proposed. The drawing of rectangular section from round bar, one of the shaped drawing process, has been simulated by using non-steady state 3D rigid plastic finite element method in order to evaluate the influence of semi-die angle and reduction in area to corner filling. Other process variables such as friction constant, rectangular ratio, die radius and bearing length were fixed during the simulation. An artificial neural network has been introduced to obtain the optimal process conditions which gave rise to a fast simulation.

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